Life-Cycle of Structures Under Uncertainty

Life-cycle analysis is a systematic tool for efficient and effective service life management of deteriorating structures. In the last few decades, theoretical and practical approaches for life-cycle performance and cost analysis have been developed extensively due to increased demand on structural safety and service life extension. This book presents the state-of-the-art in life-cycle analysis and maintenance optimization for fatigue-sensitive structures. Both theoretical background and practical applications have been provided for academics, engineers and researchers.

Concepts and approaches of life-cycle performance and cost analysis developed in recent decades are presented. The major topics covered include (a) probabilistic concepts of life-cycle performance and cost analysis, (b) inspection, monitoring and maintenance for fatigue cracks, (c) estimation of fatigue crack detection, (d) optimum inspection and monitoring planning, (e) multi-objective life-cycle optimization, and (f) decision making in life-cycle analysis. Life-cycle optimization covered in the book considers probability of fatigue crack detection, fatigue crack damage detection time, maintenance times, probability of failure, service life and total life-cycle cost. For the practical application and integration of recently developed approaches for inspection and maintenance planning, efficient and effective multi-objective optimization and decision making are presented.

This book will help engineers engaged in civil and marine structures including students, researchers and practitioners with reliable and cost-effective maintenance planning of fatigue-sensitive structures, and to develop more advanced approaches and techniques in the field of life-cycle maintenance optimization and safety of structures under various aging and deteriorating conditions.

Key Features:

• Provides the state-of-the-art in life-cycle cost analysis and optimization for fatigue-sensitive structures
• Provides a solid foundation of theoretical backgrounds and practical applications both for academics and practicing engineers and researchers
• Covers illustrative examples and recent development for optimum service life management
• Deals with various structures such as bridges and ships subjected to fatigue

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Autorentext

Dr. Dan M. Frangopol is the inaugural holder of the Fazlur R. Khan Endowed Chair of Structural Engineering and Architecture at Lehigh University. Before joining Lehigh University in 2006, he was Professor of Civil Engineering at the University of Colorado at Boulder, where he is now Professor Emeritus. He is recognized as a leader in the field of life-cycle engineering of civil and marine structures. His main research interests are in the application of probabilistic concepts and methods to civil and marine engineering including structural reliability, probability-based design and optimization of buildings, bridges and naval ships, structural health monitoring, life-cycle performance maintenance, management and cost of structures and infrastructures under uncertainty, risk-based assessment and decision-making, infrastructure sustainability and resilience to disasters, and stochastic mechanics. Dr. Frangopol is the Founding President of the International Associations for Bridge Maintenance and Safety (IABMAS) and Life-Cycle Civil Engineering (IALCCE). He has authored/co-authored over 380 articles in archival journals including 9 award-winning papers. He is the Founding Editor of Structure and Infrastructure Engineering. Dr. Frangopol is the recipient of several medals, awards, and prizes, from ASCE, IABSE, IASSAR, and other professional organizations, such as the OPAL Award, the Newmark Medal, the Alfredo Ang Award, the T.Y. Lin Medal, the F. R. Khan Medal, and the Croes Medal (twice), to name a few. He holds 4 honorary doctorates and 14 honorary professorships from major universities. He is a foreign member of the Academia Europaea (Academy of Europe, London) and the Royal Academy of Belgium, an Honorary Member of the Romanian Academy, and a Distinguished Member of ASCE.

Dr. Sunyong Kim is an Assistant Professor at the Department of Civil and Environmental Engineering at Wonkwang University, South Korea. He obtained his undergraduate degree in 1999 at Yonsei University, South Korea, and his Master of Science Degree in 2004 at Korea Advanced Institute of Science and Technology (KAIST). Under the supervision of Professor Dan. M. Frangopol, he received a Ph.D in Structural Engineering in 2011 from Lehigh University, USA. His research interests include life-cycle performance management of civil infrastructure based on reliability and optimization, structural health monitoring and damage detection, and probabilistic safety and risk assessment of structures under natural hazards. Sunyong Kim is the recipient of the 2014 ASCE J. James R. Croes Medal, the 2014 IABMAS Junior Prize, and the 2018 IALCCE Junior Award. He has authored/co-authored several articles in peer-reviewed journals and conference proceedings.

Inhalt

Table of Contents:

Preface

Concepts of Life-Cycle Analysis Under Uncertainty

Introduction

Life-Cycle Performance and Cost Analysis Under Uncertainty

Structural Performance Indicators

Life-Cycle Optimization

Conclusions

Inspection and Monitoring in Life-Cycle Analysis Introduction

Inspection, Monitoring and Maintenance for Fatigue

Inspection and Monitoring in Life-Cycle Analysis

Performance Prediction Using Inspection and Monitoring Data

Importance Factors for Efficient Inspection and Monitoring

Conclusions Probabilistic Damage Detection Introduction

Time-Dependent Fatigue Damage Propagation

Probability of Fatigue Damage Detection

Damage Detection Time Under Uncertainty

Conclusions

Damage Detection-Based Optimum Inspection and Monitoring Planning

Introduction

Optimum Inspection Planning

Optimum Monitoring Planning

Optimum Inspection and Monitoring Planning

Conclusions Optimum Service Life and Life-Cycle Cost Management Introduction

Service Life and Life-Cycle Cost Under Uncertainty

Probabilistic Optimum Inspection and Monitoring Planning

Conclusions Multi-Objective Probabilistic Life-Cycle Optimization Introduction

Multi-Objective Probabilistic Optimum Inspection Planning

Multi-Objective Probabilistic Optimum Monitoring Planning

Conclusions Decision Making for Multi-Objective Life-Cycle Optimization Introduction

Decision Making Before Multi-Objective Life-Cycle Optimization

Decision Making After Multi-Objective Life-Cycle Optimization

Conclusions Conclusions Summary

Conclusions

Future Directions

References