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E-raamat: Life-Cycle of Structures Under Uncertainty: Emphasis on Fatigue-Sensitive Civil and Marine Structures [Taylor & Francis e-raamat]

(Lehigh University, Bethlehem, PA, USA), (Department of Civil and Environmental Engineering, Wonkwang University, Republic of Korea)
  • Formaat: 216 pages, 10 Illustrations, color; 50 Illustrations, black and white
  • Ilmumisaeg: 05-Aug-2019
  • Kirjastus: CRC Press
  • ISBN-13: 9780429053283
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  • Taylor & Francis e-raamat
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Life-Cycle of Structures Under Uncertainty: Emphasis on Fatigue-Sensitive Civil and Marine StructuresSuurem pilt
  • Formaat: 216 pages, 10 Illustrations, color; 50 Illustrations, black and white
  • Ilmumisaeg: 05-Aug-2019
  • Kirjastus: CRC Press
  • ISBN-13: 9780429053283
Teised raamatud teemal:
Taylor & Francis e-raamatudRohkem infot Taylor & Francis e-raamatute kohta
Raamatu kodulehekülg: https://www.taylorfrancis.com/books/9780429053283
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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Preface iii
1 Concepts of Life-Cycle Analysis Under Uncertainty
1(20)
Abstract
2(1)
1.1 Introduction
2(1)
1.2 Life-Cycle Performance and Cost Analysis Under Uncertainty
3(5)
1.2.1 Structural Performance Deterioration
3(3)
1.2.2 Structural Performance and Cost with Maintenance
6(2)
1.3 Structural Performance Indicators
8(6)
1.4 Life-Cycle Optimization
14(4)
1.5 Conclusions
18(3)
2 Inspection and Monitoring in Life-Cycle Analysis
21(30)
Abstract
22(1)
2.1 Introduction
22(1)
2.2 Inspection, Monitoring and Maintenance for Fatigue
23(3)
2.3 Inspection and Monitoring in Life-Cycle Analysis
26(5)
2.3.1 Effect of Inspection and Monitoring on Life-Cycle Performance
26(2)
2.3.2 Effect of Inspection and Monitoring on Life-Cycle Cost
28(3)
2.4 Performance Prediction using Inspection and Monitoring Data Life-Cycle of Structures Under Uncertainty
31(11)
2.4.1 Structural Performance Prediction Based on Inspection and Monitoring Data
31(1)
2.4.2 Availability of Inspection and Monitoring Data
32(5)
2.4.3 Structural Performance Prediction Error and Loss
37(1)
2.4.4 Updating Based on Inspection and Monitoring Data
38(4)
2.5 Importance Factors for Efficient Inspection and Monitoring
42(7)
2.6 Conclusions
49(2)
3 Probabilistic Damage Detection
51(22)
Abstract
52(1)
3.1 Introduction
52(1)
3.2 Time-Dependent Fatigue Damage Propagation
53(4)
3.3 Probability of Fatigue Damage Detection
57(3)
3.4 Damage Detection Time Under Uncertainty
60(11)
3.4.1 Damage Detection Time and Delay for Inspection
60(4)
3.4.2 Damage Detection Time and Delay for Monitoring
64(1)
3.4.3 Damage Detection Time and Delay for Combined Inspection and Monitoring
64(2)
3.4.4 Damage Detection Time-Based Probability of Failure
66(5)
3.5 Conclusions
71(2)
4 Damage Detection Based Optimum Inspection and Monitoring Planning
73(22)
Abstract
74(1)
4.1 Introduction
74(1)
4.2 Optimum Inspection Planning
75(8)
4.2.1 Maximizing Lifetime Probability of Damage Detection
77(1)
4.2.2 Minimizing Expected Fatigue Crack Damage Detection Delay
78(4)
4.2.3 Minimizing Damage Detection Time-Based Probability of Failure
82(1)
4.3 Optimum Monitoring Planning
83(5)
4.3.1 Minimizing Expected Fatigue Crack Damage Detection Delay
85(2)
4.3.2 Minimizing Damage Detection Time-Based Probability of Failure
87(1)
4.4 Optimum Inspection and Monitoring Planning
88(5)
4.5 Conclusions
93(2)
5 Optimum Service Life and Life-Cycle Cost Management
95(20)
Abstract
96(1)
5.1 Introduction
96(2)
5.2 Service Life and Life-Cycle Cost Under Uncertainty
98(10)
5.2.1 Effect of Inspection and Maintenance on Service Life and Life-Cycle Cost
98(1)
5.2.2 Maintenance Delay, Service Life and Life-Cycle Cost for Inspection
99(4)
5.2.3 Maintenance Delay, Service Life and Life-Cycle Cost for Monitoring
103(1)
5.2.4 Application to a Fatigue-Sensitive Bridge
104(4)
5.3 Probabilistic Optimum Inspection and Monitoring Planning
108(6)
5.3.1 Single-Objective Probabilistic Optimization for Inspection Planning
110(2)
5.3.2 Single-Objective Probabilistic Optimization for Monitoring Planning
112(2)
5.4 Conclusions
114(1)
6 Multi-Objective Probabilistic Life-Cycle Optimization
115(28)
Abstract
116(1)
6.1 Introduction
116(1)
6.2 Multi-Objective Probabilistic Optimum Inspection Planning
117(14)
6.2.1 Bi-Objective Optimum Inspection Planning
118(4)
6.2.2 Tri-Objective Optimum Inspection Planning
122(5)
6.2.3 Quad-Objective Optimum Inspection Planning
127(1)
6.2.4 Six-Objective Optimum Inspection Planning
128(3)
6.3 Multi-Objective Probabilistic Optimum Monitoring Planning
131(10)
6.3.1 Bi-Objective Optimum Monitoring Planning
132(3)
6.3.2 Tri-Objective Optimum Monitoring Planning
135(1)
6.3.3 Quad-Objective Optimum Monitoring Planning
135(6)
6.4 Conclusions
141(2)
7 Decision Making for Multi-Objective Life-Cycle Optimization
143(32)
Abstract
144(1)
7.1 Introduction
144(2)
7.2 Decision Making Before Multi-Objective Life-Cycle Optimization
146(15)
7.2.1 Objective Weighting
147(2)
7.2.2 Application to Optimum Inspection Planning
149(6)
7.2.3 Application to Optimum Monitoring Planning
155(6)
7.3 Decision Making after Multi-Objective Life-Cycle Optimization
161(13)
7.3.1 Essential and Redundant Objectives
161(2)
7.3.2 Weights of Essential Objectives
163(1)
7.3.3 Multiple Attribute Decision Making
164(2)
7.3.4 Application to Optimum Inspection Planning
166(3)
7.3.5 Application to Optimum Monitoring Planning
169(5)
7.4 Conclusions
174(1)
8 Conclusions
175(6)
Abstract
175(1)
8.1 Summary
176(1)
8.2 Conclusions
176(3)
8.3 Future Directions
179(2)
References 181(14)
Index 195(4)
Color Figure Section 199
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.
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