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Monte Carlo Simulation for Structural Reliability
Monte Carlo Simulation for Structural Reliability



Date & Time


Available on Demand?

Until 20th September 2023




£105+ VAT

The webinar will provide an introduction into the application of Monte Carlo Simulation for the solution of structural reliability problems. The following areas will be covered:

1. The principles behind simulation methods
2. The steps required for carrying out Monte Carlo simulation
3. Concepts of random number generation
4. Probabilistic distribution plotting
5. Formulation of the safety margin to estimate probability of failure.
6. Examples on the application of Monte Carlo simulation, using Excel and MATLAB


Dr Boulent Imam is a Senior Lecturer in Civil Engineering Structures at the Department of Civil and Environmental Engineering in the University of Surrey and Programme Director for the MSc Programme in Bridge Engineering. He has been extensively involved in the area of fatigue of bridges, carrying out research in this area collaborating with national and European infrastructure owners and managers, such as Network Rail, Highways England, TWI. His research has contributed towards in-depth understanding of the fatigue behaviour of riveted railway bridges and developed methods for more reliable quantification of their remaining fatigue life taking into account historical rail traffic, novel fatigue assessment methods, loading, resistance and modelling uncertainties as well as system effects. Later on, Dr imam extended his work on fatigue towards developing fracture mechanics guidelines for the assessment of fatigue crack growth in steel bridge details towards the optimisation of inspection and maintenance planning in steel bridges. Recently, Dr Imam research has expanded towards understanding the potential impacts of climate change on bridge deterioration and quantifying the resilience of bridge infrastructure against extreme events.


Boulent Imam




Attendance certificates are available on request after the completion of the webinar.


The format of this event will be a webinar using "Zoom Webinars".

There will be opportunity to interact with the lecturer throughout the session, both though allocated Q&A sessions, or leaving text based questions throughout the presentation which the lecturer will be able to answer at convenient opportunities.


The cost of registering for this webinar will be £105+VAT​.

If you would like to register and pay now, please click the button below "Register Now". If you would prefer an invoice (for VAT exemptions/ purchase order requirement etc...) please click the button "send me an invoice" and complete the registration form, and our admin team will be in touch.

Group rates are available on all our courses. If you would like to discuss what group discounts we have available you can reach us at

The lecturer did an excellent job in presenting an overview of the method, with illustrative examples.

I have had some appreciation of Monte Carlo. However, I needed to understand some of the important backgrounds and the content of this webinar gave me just that.

I think overall it was good because we reviewed some probability basis, and saw some Monte Carlo examples.
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