ABSTRACT

Increasing demand on improving the resiliency of modern structures and infrastructure requires ever more critical and complex designs. Therefore, the need for accurate and efficient approaches to assess uncertainties in loads, geometry, material properties, manufacturing processes, and operational environments has increased significantly. Reliability-based techniques help develop more accurate initial guidance for robust design and help to identify the sources of significant uncertainty in structural systems. Reliability-Based Analysis and Design of Structures and Infrastructure presents an overview of the methods of classical reliability analysis and design most associated with structural reliability. It also introduces more modern methods and advancements, and emphasizes the most useful methods and techniques used in reliability and risk studies, while elaborating their practical applications and limitations rather than detailed derivations.

Features:

  • Provides a practical and comprehensive overview of reliability and risk analysis and design techniques.
  • Introduces resilient and smart structures/infrastructure that will lead to more reliable and sustainable societies.
  • Considers loss elimination, risk management and life-cycle asset management as related to infrastructure projects.
  • Introduces probability theory, statistical methods, and reliability analysis methods.

Reliability-Based Analysis and Design of Structures and Infrastructure is suitable for researchers and practicing engineers, as well as upper-level students taking related courses in structural reliability analysis and design.

 

chapter 5|14 pages

Resilience Engineering

Principles, Methods, and Applications to Critical Infrastructure Systems

chapter 11|16 pages

Nonlinear Numerical Analyses of Reinforced Concrete Structures

Safety Formats, Aleatory and Epistemic Uncertainties

chapter 15|12 pages

Line Sampling Simulation

Recent Advancements and Applications

chapter 18|10 pages

Seismic Risk-Based Design for Bridge

chapter 19|16 pages

Determination of Maximum Entropy Probabilistic Distribution of Soil Properties

A Case Study of Nipigon River Landslide in Canada