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Practical Probability and Reliability Methods for Civil and Environmental Engineering sets out useful probabilistic methods and their efficient implementations across civil engineering, including transportation and traffic, hydrosystems, environmental, geotechnical and structural engineering.
The book aims to overcome conceptual and implementation hurdles surrounding probability methods for civil and environmental engineers and serves as a textbook for upper-level undergraduates and beginning graduate students. It makes use of Microsoft Excel's versatile constrained optimization Solver tool, using some simple VBA codes, including FORM, SORM, system reliability, importance sampling, direct MCS, and response surface techniques.
Solutions can be downloaded free for hands-on appreciation and deeper understanding. PowerPoint slides based on the book are available for adopting course instructors. The book pairs well with the author's
Reliability-Based Design in Soil and Rock Engineering (CRC Press, 2021).
List of contents
Chapter 1. Introduction, Chapter 2. Statistical data analysis and probability concepts, Chapter 3. Efficient FORM, system reliability and SORM in Excel platform, Chapter 4. From FORM to Monte Carlo simulations and importance sampling, Chapter 5. Applications in Structural Engineering, Chapter 6. Applications in Traffic and Transportation Engineering, Chapter 7. Applications in Environmental and Water Engineering, Chapter 8. Applications in Construction Management and Planning, Chapter 9. Applications in Geotechnical Engineering
About the author
Dr. Bak Kong Low is senior professor at the Universiti Tunku Abdul Rahman (UTAR) main campus of Perak, Malaysia. Dr. Low earned a PhD at the University of California, Berkeley, and a BS and an MS at the Massachusetts Institute of Technology. He has taught at Nanyang Technological University (Singapore) for 35 years (1985-2020) and is a Fellow of the American Society of Civil Engineers. He also remains a registered professional engineer of Malaysia. In 2019, Dr. Low received the Thomas A. Middlebrooks Award from ASCE.
