The Chartership Forum

Computational Engineering

Build, test and question engineering models, from numerical methods to computational design.

Available course · 21 modules
  1. 1What computational engineering is
  2. 2Computational design and creativity
  3. 3Parametric thinking
  4. 4Programming and automation for engineers
  5. 5Digital engineering workflows
  6. 6From physical structure to analytical model
  7. 7Finite-element building blocks
  8. 8Modelling structural systems
  9. 9How the stiffness method works
  10. 10Second-order, buckling and dynamic methods
  11. 11Nonlinear and explicit analysis
  12. 12Diagnosing computational models
  13. 13Validation, verification and model assurance
  14. 14Sensitivity and design-space exploration
  15. 15Structural optimisation
  16. 16Optimisation algorithms
  17. 17Multi-objective design and Pareto decisions
  18. 18AI and machine learning for structural engineers
  19. 19Digital fabrication, cloud and connected workflows
  20. 20Computation for low-carbon structural design
  21. 21The computational engineer in practice

Course references
  • P. Debney, Computational engineering (The Institution of Structural Engineers, version 1.3, July 2022) — private curriculum reference only. Nothing from it is reproduced, paraphrased or adapted in this course: no text, no figure, no table, no worked example and no exercise. The document itself is not stored, served or distributed by this project. No affiliation with or endorsement by The Institution of Structural Engineers is implied.
  • NAFEMS publications on finite element modelling practice and terminology
  • I. A. MacLeod, Modern Structural Analysis — for the checking and modelling-strategy tradition this course sits in
  • The published investigation reports for the structural failures named in Module 13, cited there individually
  • BS EN 1990 and the material Eurocodes — consult the current editions for any design rule. This course teaches analysis and modelling, and gives no design resistance.