Undergraduate Teaching 2025-26

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Arranging payment for demonstrating

Following advice from Central HR there are further changes to how casual teaching work is paid. Please refer to the relevant section. Please note that in all cases prior approval is requried from the teaching office if payment is to be made.

PhD Students and other non-employees

This section does not apply to those employed by the University, this includes post-doctoral research associates (RA, SRA, PRA, Director of Resarch etc), please see below for teaching related payments to staff in these categories.

Last updated on 08/10/2025 08:09

Engineering Tripos Part IIB, 4G1: Mathematical biology of the cell, 2023-24

Module Leader

Dr Thierry Savin

Lecturers

Dr T Savin, Dr T O'Leary

Timing and Structure

Michaelmas term. 16 lectures (including 2 examples classes). Assessment: Coursework 100%

Aims

The aims of the course are to:

  • introduce to sub cellular processes and the role of thermal fluctuations
  • shift from the classical biology approach to a more physical description
  • illustrate mathematical/computing approaches to study regulatory networks and biomolecular dynamics
  • provide background knowledge on stochastic processes

Content

The course covers topics in stochastic processes and statistical mechanics with application to examples from biology. No background in biology is assumed.

Introduction (Savin)

  • Cells are a very well organized machinery
  • But molecular processes are subject to fluctuations, i.e. stochasticity
  • How is it possible?

Mathematical formalism (Savin)

  • Probabilities & Random Variables
  • Stochastic Processes
  • Master Equation, Fokker-Plank Equation

Regulation of gene expression (O'Leary)

  • Gene expression analysis
  • Stochastic gene expression
  • Stochastic simulations

Cell structural organization (Savin)

  • Biomolecules (DNA, cytoskeleton)
  • Statistical physics for biology
  • Polymer mechanics
  • Transport processes in cells

 

Coursework

Coursework Format

Due date

& marks

Coursework activity #1: Analysis of noise in prokaryotic gene expression

Cells often express genes in low copy numbers, leading to substantial variability in protein. In this coursework you will build a simple model of gene expression, analyse it mathematically and simulate a stochastic version of the model.

Learning objective:

  • understand how to estimate fluctuation size in a stochastic system and limitations of analytic estimates;
  • be able to implement stochastic simulations;
  • interpret biological data and predictions that simulations yield.
 

Individual report

Anonymously marked

Posted Fri week 5
Due Fri week 7

30/60

Coursework activity #2: Modelling DNA’s mechanical response

The mechanical properties of DNA and other biological filaments are important factors for cell functions. In this coursework you will simulate a DNA molecule using a bead-spring chain model undergoing thermal fluctuations, and compare your results with the theory and existing experimental data.

Learning objective:

  • understand models and Brownian dynamics of biological polymer;
  • code and carry out the simulations; statistically analyse the data;
  • interpret the simulations output in comparison with theory and experimental data.

Individual report

Anonymously marked

 Posted Fri week 8
Due Fri two weeks later

30/60

 

Booklists

Please see the Booklist for Group G Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 30/05/2023 15:32

Engineering Tripos Part IIB, 4G1: Mathematical biology of the cell, 2022-23

Module Leader

Dr Thierry Savin

Lecturers

Dr T Savin, Dr T O'Leary

Timing and Structure

Michaelmas term. 16 lectures (including 2 examples classes). Assessment: Coursework 100%

Aims

The aims of the course are to:

  • introduce to sub cellular processes and the role of thermal fluctuations
  • shift from the classical biology approach to a more physical description
  • illustrate mathematical/computing approaches to study regulatory networks and biomolecular dynamics
  • provide background knowledge on stochastic processes

Content

The course covers topics in stochastic processes and statistical mechanics with application to examples from biology. No background in biology is assumed.

Introduction (Savin)

  • Cells are a very well organized machinery
  • But molecular processes are subject to fluctuations, i.e. stochasticity
  • How is it possible?

Mathematical formalism (Savin)

  • Probabilities & Random Variables
  • Stochastic Processes
  • Master Equation, Fokker-Plank Equation

Regulation of gene expression (O'Leary)

  • Gene expression analysis
  • Stochastic gene expression
  • Stochastic simulations

Cell structural organization (Savin)

  • Biomolecules (DNA, cytoskeleton)
  • Statistical physics for biology
  • Polymer mechanics
  • Transport processes in cells

 

Coursework

Coursework Format

Due date

& marks

Coursework activity #1: Analysis of noise in prokaryotic gene expression

Cells often express genes in low copy numbers, leading to substantial variability in protein. In this coursework you will build a simple model of gene expression, analyse it mathematically and simulate a stochastic version of the model.

Learning objective:

  • understand how to estimate fluctuation size in a stochastic system and limitations of analytic estimates;
  • be able to implement stochastic simulations;
  • interpret biological data and predictions that simulations yield.
 

Individual report

Anonymously marked

Posted Fri week 5
Due Fri week 7

30/60

Coursework activity #2: Modelling DNA’s mechanical response

The mechanical properties of DNA and other biological filaments are important factors for cell functions. In this coursework you will simulate a DNA molecule using a bead-spring chain model undergoing thermal fluctuations, and compare your results with the theory and existing experimental data.

Learning objective:

  • understand models and Brownian dynamics of biological polymer;
  • code and carry out the simulations; statistically analyse the data;
  • interpret the simulations output in comparison with theory and experimental data.

Individual report

Anonymously marked

 Posted Fri week 8
Due Fri two weeks later

30/60

 

Booklists

Please see the Booklist for Group G Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 15/06/2022 14:36

Engineering Tripos Part IIB, 4G1: Mathematical biology of the cell, 2019-20

Module Leader

Dr Thierry Savin

Lecturers

Dr T Savin, Dr T O'Leary

Timing and Structure

Michaelmas term. 16 lectures (including 2 examples classes). Assessment: Coursework 100%

Aims

The aims of the course are to:

  • introduce to sub cellular processes and the role of thermal fluctuations
  • shift from the classical biology approach to a more physical description
  • illustrate mathematical/computing approaches to study regulatory networks and biomolecular dynamics
  • provide background knowledge on stochastic processes

Content

The course covers topics in stochastic processes and statistical mechanics with application to examples from biology. No background in biology is assumed.

Introduction (Savin)

  • Cells are a very well organized machinery
  • But molecular processes are subject to fluctuations, i.e. stochasticity
  • How is it possible?

Mathematical formalism (Savin)

  • Probabilities & Random Variables
  • Stochastic Processes
  • Master Equation, Fokker-Plank Equation

Regulation of gene expression (O'Leary)

  • Gene expression analysis
  • Stochastic gene expression
  • Stochastic simulations

Cell structural organization (Savin)

  • Biomolecules (DNA, cytoskeleton)
  • Statistical physics for biology
  • Polymer mechanics
  • Transport processes in cells

 

Coursework

Coursework Format

Due date

& marks

Coursework activity #1: Analysis of noise in prokaryotic gene expression

Cells often express genes in low copy numbers, leading to substantial variability in protein. In this coursework you will build a simple model of gene expression, analyse it mathematically and simulate a stochastic version of the model.

Learning objective:

  • understand how to estimate fluctuation size in a stochastic system and limitations of analytic estimates;
  • be able to implement stochastic simulations;
  • interpret biological data and predictions that simulations yield.
 

Individual report

Anonymously marked

Posted Fri week 5
Due Fri week 7

30/60

Coursework activity #2: Modelling DNA’s mechanical response

The mechanical properties of DNA and other biological filaments are important factors for cell functions. In this coursework you will simulate a DNA molecule using a bead-spring chain model undergoing thermal fluctuations, and compare your results with the theory and existing experimental data.

Learning objective:

  • understand models and Brownian dynamics of biological polymer;
  • code and carry out the simulations; statistically analyse the data;
  • interpret the simulations output in comparison with theory and experimental data.

Individual report

Anonymously marked

 Posted Fri week 8
Due Fri two weeks later

30/60

 

Booklists

Please see the Booklist for Group G Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 28/05/2019 15:19

Engineering Tripos Part IIB, 4G1: Mathematical biology of the cell, 2018-19

Module Leader

Dr Thierry Savin

Lecturers

Dr T Savin, Dr T O'Leary

Timing and Structure

Michaelmas term. 16 lectures (including 2 examples classes). Assessment: Coursework 100%

Aims

The aims of the course are to:

  • introduce to sub cellular processes and the role of thermal fluctuations
  • shift from the classical biology approach to a more physical description
  • illustrate mathematical/computing approaches to study regulatory networks and biomolecular dynamics
  • provide background knowledge on stochastic processes

Content

The course covers topics in stochastic processes and statistical mechanics with application to examples from biology. No background in biology is assumed.

Introduction (Savin)

  • Cells are a very well organized machinery
  • But molecular processes are subject to fluctuations, i.e. stochasticity
  • How is it possible?

Mathematical formalism (Savin)

  • Probabilities & Random Variables
  • Stochastic Processes
  • Master Equation, Fokker-Plank Equation

Regulation of gene expression (O'Leary)

  • Gene expression analysis
  • Stochastic gene expression
  • Stochastic simulations

Cell structural organization (Savin)

  • Biomolecules (DNA, cytoskeleton)
  • Statistical physics for biology
  • Polymer mechanics
  • Transport processes in cells

 

Coursework

Coursework Format

Due date

& marks

Coursework activity #1: Analysis of noise in prokaryotic gene expression

Cells often express genes in low copy numbers, leading to substantial variability in protein. In this coursework you will build a simple model of gene expression, analyse it mathematically and simulate a stochastic version of the model.

Learning objective:

  • understand how to estimate fluctuation size in a stochastic system and limitations of analytic estimates;
  • be able to implement stochastic simulations;
  • interpret biological data and predictions that simulations yield.
 

Individual report

Anonymously marked

Posted Fri week 5
Due Fri week 7

30/60

Coursework activity #2: Modelling DNA’s mechanical response

The mechanical properties of DNA and other biological filaments are important factors for cell functions. In this coursework you will simulate a DNA molecule using a bead-spring chain model undergoing thermal fluctuations, and compare your results with the theory and existing experimental data.

Learning objective:

  • understand models and Brownian dynamics of biological polymer;
  • code and carry out the simulations; statistically analyse the data;
  • interpret the simulations output in comparison with theory and experimental data.

Individual report

Anonymously marked

 Posted Fri week 8
Due Fri two weeks later

30/60

 

Booklists

Please see the Booklist for Group G Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 17/05/2018 14:25

Engineering Tripos Part IIB, 4G1: Mathematical biology of the cell, 2017-18

Module Leader

Dr Thierry Savin

Lecturers

Dr T Savin, Dr T O'Leary

Timing and Structure

Michaelmas term. 16 lectures (including 2 examples classes). Assessment: Coursework 100%

Aims

The aims of the course are to:

  • introduce to sub cellular processes and the role of thermal fluctuations
  • shift from the classical biology approach to a more physical description
  • illustrate mathematical/computing approaches to study regulatory networks and biomolecular dynamics
  • provide background knowledge on stochastic processes

Content

The course covers topics in stochastic processes and statistical mechanics with application to examples from biology. No background in biology is assumed.

Introduction (Savin)

  • Cells are a very well organized machinery
  • But molecular processes are subject to fluctuations, i.e. stochasticity
  • How is it possible?

Mathematical formalism (Savin)

  • Probabilities & Random Variables
  • Stochastic Processes
  • Master Equation, Fokker-Plank Equation

Regulation of gene expression (O'Leary)

  • Gene expression analysis
  • Stochastic gene expression
  • Stochastic simulations

Cell structural organization (Savin)

  • Biomolecules (DNA, cytoskeleton)
  • Statistical physics for biology
  • Polymer mechanics
  • Transport processes in cells

 

Coursework

Coursework Format

Due date

& marks

Coursework activity #1: Analysis of noise in prokaryotic gene expression

Cells often express genes in low copy numbers, leading to substantial variability in protein. In this coursework you will build a simple model of gene expression, analyse it mathematically and simulate a stochastic version of the model.

Learning objective:

  • understand how to estimate fluctuation size in a stochastic system and limitations of analytic estimates;
  • be able to implement stochastic simulations;
  • interpret biological data and predictions that simulations yield.
 

Individual report

Anonymously marked

Posted Fri week 5
Due Fri week 7

30/60

Coursework activity #2: Modelling DNA’s mechanical response

The mechanical properties of DNA and other biological filaments are important factors for cell functions. In this coursework you will simulate a DNA molecule using a bead-spring chain model undergoing thermal fluctuations, and compare your results with the theory and existing experimental data.

Learning objective:

  • understand models and Brownian dynamics of biological polymer;
  • code and carry out the simulations; statistically analyse the data;
  • interpret the simulations output in comparison with theory and experimental data.

Individual report

Anonymously marked

 Posted Fri week 8
Due Fri two weeks later

30/60

 

Booklists

Please see the Booklist for Group G Courses for references for this module.

Examination Guidelines

Please refer to Form & conduct of the examinations.

 
Last modified: 05/10/2017 14:29

Engineering Tripos Part IIA, 3D3: Structural Materials & Design, 2025-26

Module Leader

Dr R Foster

Lecturers

Dr R Foster, Dr J Becque, Prof A Lawrence

Lab Leader

Dr R Foster

Timing and Structure

Michaelmas Term. 16 Lectures.

Aims

The aims of the course are to:

  • Provide a general understanding of the relationship between the properties of common structural materials, and the principles and approaches underpinning their use in structural design
  • Provide a bridge between the fundamental general engineering understanding of structures and materials developed in Part I and the applied specialist modules of Part II
  • Provide knowledge and knowhow enabling structural designers to improve our use of energy and material in the design of the built environment while providing safe, useful structures for people to use

Objectives

As specific objectives, by the end of the course students should be able to:

  • [1] Use the lower-bound theory of plasticity to perform load-path design of structural arrangements and to appreciate the benefits and limitations of the approach
  • [2] Consider the influence of risk, and variability of loading and material properties, in structural design and calculation
  • [3] Explain the environmental impacts of structural material and design choices
  • [4] Understand and carry out early-stage structural design with various structural materials
  • [4.1] Identify the theoretical and practical considerations governing structural design in various materials and explain how these may be accommodated in design
  • [4.2] Make reasonable conceptual design decisions regarding appropriate structural form, initial layout and initial member sizing for simple structures in various materials;
  • [4.3] Perform preliminary technical design calculations for simple structures in various materials
  • [4.4] Determine what design approaches may be appropriate, and what calculations necessary, for more complex structures in various materials

Content

The implications of the general principles of structural mechanics – equilibrium, compatibility, constitutive laws, and stability – are investigated for different materials. This leads to discussion of typical structural forms in the various materials, the reasons for adopting them, and appropriate methods of construction. The significant types of structural behaviour, and therefore the most useful methods of analysis and calculation, are investigated for the different material types. Our basic aim is to establish means of making reasonable preliminary decisions about structural form, layout and initial sizing of structural members made from a range of common construction materials.

Design methodologies will be developed, and design of typical elements will be discussed, for:

  • materials of low tensile but high compressive strength, such as masonry and glass;
  • composite materials of low tensile strength combined with a ductile tensile material, such as reinforced concrete;
  • high-strength, ductile materials such as steel and aluminium alloys;
  • moderate-  to high-strength, anisotropic, brittle materials such as engineered timber.

The critical modes of failure of structures made from these materials tend to differ, as do other considerations such as environmental impacts, so design approaches will be correspondingly different.

Weeks 1-2 provide an introduction to a number of important considerations and approaches in structural design across materials, such as: loadpaths and the lowerbound theorem; limit state design and variability; resource efficiency and sustainability

Weeks 3-8 apply these considerations and approaches to design with various structural materials including: masonry; glass; reinforced concrete; steel and timber.

 

Coursework

Concrete Lab

Learning objectives

To be able to:

1.Describe the common ingredients of concrete and their properties;
2.Design a concrete mix to satisfy certain technical requirements and cast a trial cube;
3.Supervise the casting of reinforced concrete beams and various plain concrete specimens for subsequent testing;
4.Observe and record results of destructive testing and identify different failure modes in concrete;
5.Compare empirical results with theoretical predictions based on as built-data, and evaluate the effectiveness and limitations of the theory.

Practical information:

Details will be available on the course Moodle page early in the term.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P4

Understanding use of technical literature and other information sources.

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 04/06/2025 13:18

Engineering Tripos Part IIA, 3D3: Structural Materials & Design, 2024-25

Module Leader

Dr R Foster

Lecturers

Dr R Foster, Dr J Becque, Prof A Lawrence

Lab Leader

Dr R Foster

Timing and Structure

Michaelmas Term. 16 Lectures.

Aims

The aims of the course are to:

  • Provide a general understanding of the relationship between the properties of common structural materials, and the principles and approaches underpinning their use in structural design
  • Provide a bridge between the fundamental general engineering understanding of structures and materials developed in Part I and the applied specialist modules of Part II
  • Provide knowledge and knowhow enabling structural designers to improve our use of energy and material in the design of the built environment while providing safe, useful structures for people to use

Objectives

As specific objectives, by the end of the course students should be able to:

  • [1] Use the lower-bound theory of plasticity to perform load-path design of structural arrangements and to appreciate the benefits and limitations of the approach
  • [2] Consider the influence of risk, and variability of loading and material properties, in structural design and calculation
  • [3] Explain the environmental impacts of structural material and design choices
  • [4] Understand and carry out early-stage structural design with various structural materials
  • [4.1] Identify the theoretical and practical considerations governing structural design in various materials and explain how these may be accommodated in design
  • [4.2] Make reasonable conceptual design decisions regarding appropriate structural form, initial layout and initial member sizing for simple structures in various materials;
  • [4.3] Perform preliminary technical design calculations for simple structures in various materials
  • [4.4] Determine what design approaches may be appropriate, and what calculations necessary, for more complex structures in various materials

Content

The implications of the general principles of structural mechanics – equilibrium, compatibility, constitutive laws, and stability – are investigated for different materials. This leads to discussion of typical structural forms in the various materials, the reasons for adopting them, and appropriate methods of construction. The significant types of structural behaviour, and therefore the most useful methods of analysis and calculation, are investigated for the different material types. Our basic aim is to establish means of making reasonable preliminary decisions about structural form, layout and initial sizing of structural members made from a range of common construction materials.

Design methodologies will be developed, and design of typical elements will be discussed, for:

  • materials of low tensile but high compressive strength, such as masonry and glass;
  • composite materials of low tensile strength combined with a ductile tensile material, such as reinforced concrete;
  • high-strength, ductile materials such as steel and aluminium alloys;
  • moderate-  to high-strength, anisotropic, brittle materials such as engineered timber.

The critical modes of failure of structures made from these materials tend to differ, as do other considerations such as environmental impacts, so design approaches will be correspondingly different.

Weeks 1-2 provide an introduction to a number of important considerations and approaches in structural design across materials, such as: loadpaths and the lowerbound theorem; limit state design and variability; resource efficiency and sustainability

Weeks 3-8 apply these considerations and approaches to design with various structural materials including: masonry; glass; reinforced concrete; steel and timber.

 

Coursework

Concrete Lab

Learning objectives

To be able to:

1.Describe the common ingredients of concrete and their properties;
2.Design a concrete mix to satisfy certain technical requirements and cast a trial cube;
3.Supervise the casting of reinforced concrete beams and various plain concrete specimens for subsequent testing;
4.Observe and record results of destructive testing and identify different failure modes in concrete;
5.Compare empirical results with theoretical predictions based on as built-data, and evaluate the effectiveness and limitations of the theory.

Practical information:

Details will be available on the course Moodle page early in the term.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P4

Understanding use of technical literature and other information sources.

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 31/05/2024 07:29

Engineering Tripos Part IIA, 3D3: Structural Materials & Design, 2023-24

Module Leader

Dr J Orr

Lecturers

Dr J Orr, Dr J Becque

Lab Leader

Dr J Orr

Timing and Structure

Michaelmas Term. 16 Lectures.

Aims

The aims of the course are to:

  • Provide a general understanding of the relationship between the properties of common structural materials, and the principles and approaches underpinning their use in structural design
  • Provide a bridge between the fundamental general engineering understanding of structures and materials developed in Part I and the applied specialist modules of Part II
  • Provide knowledge and knowhow enabling structural designers to improve our use of energy and material in the design of the built environment while providing safe, useful structures for people to use

Objectives

As specific objectives, by the end of the course students should be able to:

  • [1] Use the lower-bound theory of plasticity to perform load-path design of structural arrangements and to appreciate the benefits and limitations of the approach
  • [2] Consider the influence of risk, and variability of loading and material properties, in structural design and calculation
  • [3] Explain the environmental impacts of structural material and design choices
  • [4] Understand and carry out early-stage structural design with various structural materials
  • [4.1] Identify the theoretical and practical considerations governing structural design in various materials and explain how these may be accommodated in design
  • [4.2] Make reasonable conceptual design decisions regarding appropriate structural form, initial layout and initial member sizing for simple structures in various materials;
  • [4.3] Perform preliminary technical design calculations for simple structures in various materials
  • [4.4] Determine what design approaches may be appropriate, and what calculations necessary, for more complex structures in various materials

Content

The implications of the general principles of structural mechanics – equilibrium, compatibility, constitutive laws, and stability – are investigated for different materials. This leads to discussion of typical structural forms in the various materials, the reasons for adopting them, and appropriate methods of construction. The significant types of structural behaviour, and therefore the most useful methods of analysis and calculation, are investigated for the different material types. Our basic aim is to establish means of making reasonable preliminary decisions about structural form, layout and initial sizing of structural members made from a range of common construction materials.

Design methodologies will be developed, and design of typical elements will be discussed, for:

  • materials of low tensile but high compressive strength, such as masonry and glass;
  • composite materials of low tensile strength combined with a ductile tensile material, such as reinforced concrete;
  • high-strength, ductile materials such as steel and aluminium alloys;
  • moderate-  to high-strength, anisotropic, brittle materials such as engineered timber.

The critical modes of failure of structures made from these materials tend to differ, as do other considerations such as environmental impacts, so design approaches will be correspondingly different.

Weeks 1-2 provide an introduction to a number of important considerations and approaches in structural design across materials, such as: loadpaths and the lowerbound theorem; limit state design and variability; resource efficiency and sustainability

Weeks 3-8 apply these considerations and approaches to design with various structural materials including: masonry; glass; reinforced concrete; steel and timber.

 

Coursework

Concrete Lab

Learning objectives

To be able to:

1.Describe the common ingredients of concrete and their properties;
2.Design a concrete mix to satisfy certain technical requirements and cast a trial cube;
3.Supervise the casting of reinforced concrete beams and various plain concrete specimens for subsequent testing;
4.Observe and record results of destructive testing and identify different failure modes in concrete;
5.Compare empirical results with theoretical predictions based on as built-data, and evaluate the effectiveness and limitations of the theory.

Practical information:

Details will be available on the course Moodle page early in the term.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P4

Understanding use of technical literature and other information sources.

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 30/05/2023 15:20

Engineering Tripos Part IIA, 3D3: Structural Materials & Design, 2022-23

Module Leader

Dr R Foster

Lecturers

Dr R Foster, Dr J Becque

Lab Leader

Dr R Foster

Timing and Structure

Michaelmas Term. 16 Lectures.

Aims

The aims of the course are to:

  • Provide a general understanding of the relationship between the properties of common structural materials, and the principles and approaches underpinning their use in structural design
  • Provide a bridge between the fundamental general engineering understanding of structures and materials developed in Part I and the applied specialist modules of Part II
  • Provide knowledge and knowhow enabling structural designers to improve our use of energy and material in the design of the built environment while providing safe, useful structures for people to use

Objectives

As specific objectives, by the end of the course students should be able to:

  • [1] Use the lower-bound theory of plasticity to perform load-path design of structural arrangements and to appreciate the benefits and limitations of the approach
  • [2] Consider the influence of risk, and variability of loading and material properties, in structural design and calculation
  • [3] Explain the environmental impacts of structural material and design choices
  • [4] Understand and carry out early-stage structural design with various structural materials
  • [4.1] Identify the theoretical and practical considerations governing structural design in various materials and explain how these may be accommodated in design
  • [4.2] Make reasonable conceptual design decisions regarding appropriate structural form, initial layout and initial member sizing for simple structures in various materials;
  • [4.3] Perform preliminary technical design calculations for simple structures in various materials
  • [4.4] Determine what design approaches may be appropriate, and what calculations necessary, for more complex structures in various materials

Content

The implications of the general principles of structural mechanics – equilibrium, compatibility, constitutive laws, and stability – are investigated for different materials. This leads to discussion of typical structural forms in the various materials, the reasons for adopting them, and appropriate methods of construction. The significant types of structural behaviour, and therefore the most useful methods of analysis and calculation, are investigated for the different material types. Our basic aim is to establish means of making reasonable preliminary decisions about structural form, layout and initial sizing of structural members made from a range of common construction materials.

Design methodologies will be developed, and design of typical elements will be discussed, for:

  • materials of low tensile but high compressive strength, such as masonry and glass;
  • composite materials of low tensile strength combined with a ductile tensile material, such as reinforced concrete;
  • high-strength, ductile materials such as steel and aluminium alloys;
  • moderate-  to high-strength, anisotropic, brittle materials such as engineered timber.

The critical modes of failure of structures made from these materials tend to differ, as do other considerations such as environmental impacts, so design approaches will be correspondingly different.

Weeks 1-2 provide an introduction to a number of important considerations and approaches in structural design across materials, such as: loadpaths and the lowerbound theorem; limit state design and variability; resource efficiency and sustainability

Weeks 3-8 apply these considerations and approaches to design with various structural materials including: masonry; glass; reinforced concrete; steel and timber.

 

Coursework

Concrete Lab

Learning objectives

To be able to:

1.Describe the common ingredients of concrete and their properties;
2.Design a concrete mix to satisfy certain technical requirements and cast a trial cube;
3.Supervise the casting of reinforced concrete beams and various plain concrete specimens for subsequent testing;
4.Observe and record results of destructive testing and identify different failure modes in concrete;
5.Compare empirical results with theoretical predictions based on as built-data, and evaluate the effectiveness and limitations of the theory.

Practical information:

Details will be available on the course Moodle page early in the term.

Full Technical Report:

Students will have the option to submit a Full Technical Report.

Booklists

Please refer to the Booklist for Part IIA Courses for references to this module, this can be found on the associated Moodle course.

Examination Guidelines

Please refer to Form & conduct of the examinations.

UK-SPEC

This syllabus contributes to the following areas of the UK-SPEC standard:

Toggle display of UK-SPEC areas.

GT1

Develop transferable skills that will be of value in a wide range of situations. These are exemplified by the Qualifications and Curriculum Authority Higher Level Key Skills and include problem solving, communication, and working with others, as well as the effective use of general IT facilities and information retrieval skills. They also include planning self-learning and improving performance, as the foundation for lifelong learning/CPD.

IA1

Apply appropriate quantitative science and engineering tools to the analysis of problems.

KU1

Demonstrate knowledge and understanding of essential facts, concepts, theories and principles of their engineering discipline, and its underpinning science and mathematics.

KU2

Have an appreciation of the wider multidisciplinary engineering context and its underlying principles.

D1

Wide knowledge and comprehensive understanding of design processes and methodologies and the ability to apply and adapt them in unfamiliar situations.

S1

The ability to make general evaluations of commercial risks through some understanding of the basis of such risks.

S3

Understanding of the requirement for engineering activities to promote sustainable development.

S4

Awareness of the framework of relevant legal requirements governing engineering activities, including personnel, health, safety, and risk (including environmental risk) issues.

E1

Ability to use fundamental knowledge to investigate new and emerging technologies.

E2

Ability to extract data pertinent to an unfamiliar problem, and apply its solution using computer based engineering tools when appropriate.

E3

Ability to apply mathematical and computer based models for solving problems in engineering, and the ability to assess the limitations of particular cases.

P1

A thorough understanding of current practice and its limitations and some appreciation of likely new developments.

P4

Understanding use of technical literature and other information sources.

P6

Understanding of appropriate codes of practice and industry standards.

P7

Awareness of quality issues.

US1

A comprehensive understanding of the scientific principles of own specialisation and related disciplines.

US2

A comprehensive knowledge and understanding of mathematical and computer models relevant to the engineering discipline, and an appreciation of their limitations.

US3

An understanding of concepts from a range of areas including some outside engineering, and the ability to apply them effectively in engineering projects.

US4

An awareness of developing technologies related to own specialisation.

 
Last modified: 24/05/2022 15:53

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