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Probability computations in civil engineering

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.

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.

Advised 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.


Language of instruction čeština, angličtina
Code 228-0313
Abbreviation PV
Course title Probability computations in civil engineering
Coordinating department Department of Structural Mechanics
Course coordinator prof. Ing. Martin Krejsa, Ph.D.