1st Edition
Practical Probability and Reliability Methods for Civil and Environmental Engineering
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
Biography
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.
'Theory is most valuable when it can be used to solve practical problems. This excellent book will enable engineers to leverage probability theory in developing effective real-world solutions.'
-- Robert B. Gilbert, Chair in Civil Engineering and Distinguished Teaching Professor, The University of Texas at Austin, USA
'The book’s discussion of uncertainty, risk assessment, and the integration of modern computational approaches is excellent. With its systematic treatment of methodologies such as Monte Carlo simulation, Excel-based computational methods, and modern data statistics, the book equips engineers with the tools needed to quantify and manage uncertainty. It is a significant contribution'
-- Gregory B. Baecher, G.L. Martin Institute Professor of Engineering, University of Maryland, USA
' The use of reliability methods in Excel® to complement Eurocode procedures contributes to the immense practical aspect, and many examples are provided'
-- Herbert H. Einstein, Professor, Massachusetts Institute of Technology
