228-0313 – Probability computations in civil engineering (PV)

Gurantor departmentDepartment of Structural Mechanics
Subject guarantorprof. Ing. Martin Krejsa, Ph.D.
Study levelundergraduate or graduate
Subject version
Version codeYear of introductionYear of cancellationCredits
228-0313/01 2019/2020 5
228-0313/02 2019/2020 5

Subject aims expressed by acquired skills and competences

The aim of the course Probabilistic Calculations in Civil Engineering is to deepen knowledge in the field of probability theory and mathematical statistics and their application in solving selected problems in construction using computer technology and available software.

Teaching methods

Lectures
Tutorials

Summary

In this subject Probability computations in civil engineering, students learn theoretical background and practical information about probabilistic assessment of load-carrying structures. For that purpose, they should master the probability and structure reliability theories. The key feature of the probabilistic method is that it is possible to express variability of input quantities in a stochastic (probabilistic) form, for instance, by histograms. Unlike the applicable standards and procedures which are based on deterministic expression of input quantities (using a single value – a constant), the probabilistic methods provide more precise reliability assessment and improved safety for those who use the buildings and structures.

Compulsory literature:

1. Robert E. Melchers, Andre T. Beck, Structural Reliability Analysis and Prediction (3rd Edition), 528 pages, 2018, ISBN-13: 978-1119265993, ISBN-10: 1119265991. 2. TeReCo: Probabilistic Assessment of Structures using Monte Carlo Simulation, Background, Exercises and Software. Textbook and CD-ROM. ÚTAM AV ČR, Praha 2003. 2nd edition. ISBN 80-86246-19-1.

Recommended literature:

1. Anthony J. Hayter, Probability and Statistics for Engineers and Scientists (4th Edition), 864 pages, 2012, ISBN-13: 978-1111827045, ISBN-10: 1111827044. 2. O. Ditlevsen and H.O. Madsen: Structural Reliability Methods, Technical University of Denmark, 2005.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.