Reliability Based Analysis And Design Of Structures And Infrastructure

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.

Reliability Analysis and Design for Civil Engineers is designed for beginners to understand the concepts in reliability engineering. The chapters are well planned beginning with probability and statistics. Application of probability concepts to assess the uncertainties in engineering is presented by different methods, at component level and system level. Design of structures for a specified target reliability to ensure safety and economy is presented.

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.

Our knowledge to model, design, analyse, maintain, manage and predict the life-cycle performance of infrastructure systems is continually growing. However, the complexity of these systems continues to increase and an integrated approach is necessary to understand the effect of technological, environmental, economic, social, and political interactions on the life-cycle performance of engineering infrastructure. In order to accomplish this, methods have to be developed to systematically analyse structure and infrastructure systems, and models have to be formulated for evaluating and comparing the risks and benefits associated with various alternatives. Civil engineers must maximize the life-cycle benefits of these systems to serve the needs of our society by selecting the best balance of the safety, economy, resilience and sustainability requirements despite imperfect information and knowledge. Within the context of this book, the necessary concepts are introduced and illustrated with applications to civil and marine structures. This book is intended for an audience of researchers and practitioners world‐wide with a background in civil and marine engineering, as well as people working in infrastructure maintenance, management, cost and optimization analysis. The chapters originally published as articles in Structure and Infrastructure Engineering.

Interest in the topic of structural reliability and optimal design has been rapidly growing in recent years. Besides, the field of numerical methods and artificial intelligence is experiencing a surge of new methods and the refinement of existing ones to expand opportunities to apply robust formulations to complex engineering problems. Today, more than ever, the field is receiving fresh ideas on how to face the challenges of finding a balance between cost and benefits that may lead towards the optimal design of systems. Recently, the probability density evolution method (PDEM) was proposed by Prof. Jie Li as an alternative way to obtain the stochastic and dynamic solution of the safety level of engineering systems under any kind of hazard. This work deals with the application of this powerful method to derive optimal design recommendations for large engineering systems under natural hazards. The three case studies illustrate to engineers and academic specialists how to strike a cost-effective balance in designing such systems.

The primary purpose of this book is to introduce risk and reliability concept into structural design. A structure should be designed taking into account safety, reliability, and economy. Reliability is the probability of successful function, and risk is the potential for unwanted negative consequence of an event. In structural engineering, risk analysis involves the investigation of the probability of rare events. Risk analyses are typically made on the basis of information, which is subject to uncertainty. These uncertainties may be divided into inherent or natural variability. The objective of a structural design is the assurance of successful performance over the useful life of structures or engineering systems. The primary purpose of this book is to introduce risk and reliability concept into structural design. It will cover and review reliability theory and risk analysis to solve structural engineering problems. The book was formed from the easy to the difficult and complicated concepts. Content was written from the basic concepts of uncertainties, structural safety analysis, structural reliability under repeated load, and fatigue reliability. Based on the introduction of failure modes and bounds theory, structural system reliability theory is subsequently discussed. Numerical formulation and examples are provided to enhance the study efficiency of students, engineers, and researchers. This book is suitable for adoption as a textbook or a reference book in a structural reliability analysis course. Furthermore, this book also provides a theoretical foundation for better understanding of the structural safety assessment.

Authored by the most active scholars in their respective areas, this volume covers the most recent developments, both theoretical and applicative, in multi-disciplinary reliability evaluation areas, many of which are cutting-edge and not discussed elsewhere in book form. The broad coverage includes the latest thoughts on design for low probability and high consequence events like the failure of the World Trade Center as well as risk acceptability based on the Life Quality Index. Other chapters discuss the development of the performance-based design concept, and the generally overlooked area of the reliability evaluation of bridges and offshore structures. Since the finite element method is routinely used for structural analyses, emphasis is put on discussing reliability evaluation using finite elements including consideration of the mesh-free finite element method. Corrosion and fatigue reliability evaluation techniques are other urgent issues that are dealt with in depth. Risk-based optimization using lifecycle cost analysis is presented. Among the many additional included topics, a chapter is devoted to health assessment of existing structures, currently one of the most active research areas. Contents:Risk and Risk Perception for Low Probability, High Consequence Events in the Built Environment (R B Corotis)Socio-Economic Risk Acceptability Criteria (R Rackwitz)Reliability in Structural Performance Evaluation and Design (Y K Wen)Performance-Based Reliability Evaluation of Structure-Foundation Systems (M Chowdhury & A Haldar)Application of Probabilistic Methods in Bridge Engineering (M Ghosn)Stochastic Response of Fixed Offshore Structures (S-T Quek et al.)Application of Reliability Methods to Fatigue Analysis and Design (P H Wirsching)Probabilistic Models for Corrosion in Structural Reliability Assessment (R E Melchers)Seismic Risk Assessment of Realistic Frame Structures Using a Hybrid Reliability Method (J Huh & A Haldar)Meshfree Methods in Computational Stochastic Mechanics (S Rahman)Reliability Analysis Using Information from Experts (J Mohammadi & E Desantiago)Risk-Based Optimization of Life-Cycle Cost for Deteriorating Civil Engineering Infrastructures (R Rackwitz)Structural Health Assessment under Uncertainty (H Katkhuda & A Haldar) Readership: Undergraduates, graduates, researchers and practitioners in the field of reliability in civil, mechanical, offshore, materials, chemical and other related engineering areas. Keywords:Performance-Based Design;Low Probability High Consequence Events;Life Quality Index;Socio-economic Risk Acceptability Criteria;Reliability of Bridges;Fixed Offshore Structures;Stochastic Finite Element Analysis;Mesh-Free Finite Element Methods;Fatigue Analysis and Design;Corrosion;Structural Health Assessment;Reliability Analysis Using Information from Experts;Renewal Model in Reliability-Based Optimization;Lifecycle Cost AnalysisKey Features:Discussions on the most recent developments in multi-disciplinary risk and reliability engineering areasChapters authored by the most active scholars in the areaTopics covered are not available in other booksIncludes subjects reflecting the most recent research interests in the field

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