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Offshore Structural Engineering: Reliability and Risk Assessment [Kõva köide]

(Indian Institute of Technology Madras, Adyar, Chennai, India)
  • Formaat: Hardback, 254 pages, kõrgus x laius: 234x156 mm, kaal: 530 g, 45 Tables, black and white; 101 Illustrations, black and white
  • Ilmumisaeg: 11-May-2016
  • Kirjastus: CRC Press Inc
  • ISBN-10: 149876519X
  • ISBN-13: 9781498765190
Teised raamatud teemal:
Offshore Structural Engineering: Reliability and Risk AssessmentSuurem pilt
  • Formaat: Hardback, 254 pages, kõrgus x laius: 234x156 mm, kaal: 530 g, 45 Tables, black and white; 101 Illustrations, black and white
  • Ilmumisaeg: 11-May-2016
  • Kirjastus: CRC Press Inc
  • ISBN-10: 149876519X
  • ISBN-13: 9781498765190
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781498765190.html
Märksõnad:
Successfully estimate risk and reliability, and produce innovative, yet reliable designs using the approaches outlined in Offshore Structural Engineering: Reliability and Risk Assessment. A hands-on guide for practicing professionals, this book covers the reliability of offshore structures with an emphasis on the safety and reliability of offshore facilities during analysis, design, inspection, and planning.

Since risk assessment and reliability estimates are often based on probability, the author utilizes concepts of probability and statistical analysis to address the risks and uncertainties involved in design. He explains the concepts with clear illustrations and tutorials, provides a chapter on probability theory, and covers various stages of the process that include data collection, analysis, design and construction, and commissioning.

In addition, the author discusses advances in geometric structural forms for deep-water oil exploration, the rational treatment of uncertainties in structural engineering, and the safety and serviceability of civil engineering and other offshore structures.

An invaluable guide to innovative and reliable structural design, this book:











Defines the structural reliability theory Explains the reliability analysis of structures Examines the reliability of offshore structures Describes the probabilistic distribution for important loading variables Includes methods of reliability analysis Addresses risk assessment and more







Offshore Structural Engineering: Reliability and Risk Assessment

provides an in-depth analysis of risk analysis and assessment and highlights important aspects of offshore structural reliability. The book serves as a practical reference to engineers and students involved in naval architecture, ocean engineering, civil/structural, and petroleum engineering.

Arvustused

" one of its kind links both risk and reliability with application examples to offshore structures an essential reference book for practicing engineers in offshore engineering." Professor Arvind Kumar Jain, Department of Civil Engineering, Indian Institute of Technology Delhi, India

"This is a great book on the general subjects of structural reliability and risk assessment for off-shore structures. a comprehensive presentation of the art and science of the assessment of off-shore structure system reliability." Shen-En Chen, University of North Carolina at Charlotte, USA

" gives a basic understanding of all topics related to reliability and risk assessment of offshore structures using probabilistic methods. Examples dealing with Mathieus stability and responses to high sea waves and seismic excitation of TLP tethers enable easy understanding of the fundamental concepts. I strongly recommend this book as an essential reference book for academicians, researchers, engineers and professionals in oil and gas industry, as it is the priority now to extend the life of existing platforms based on scientific calculation of reliability leading to accurate prediction of structural integrity." Professor Kurian V. John, Universiti Teknologi Petronas, Malaysia

"there is much to recommend in this book. In addition to basic applicable theory and procedures for which the book could serve as an appropriate educational tool for the beginner and intermediate reader, there are also more than a few applications particular to offshore structures that are interspersed within the text that appear to serve well to hold the readers interest in a sustained manner. I am, therefore, happy to recommend this book not only to students of the subject, but also to researchers and engineers. Readers should find it a very good resource of useful information all in one place, not only to supplement their current knowledge, but also to revisit subsequently as needed." Journal of Ocean Engineering and Marine Energy, March 2017

List of Figures
xi
List of Tables
xv
Preface xvii
Author xix
Chapter 1 Concept of Probability and Sampling Statistics
1(58)
1.1 Introduction
1(1)
1.2 Reliability and Risk
2(1)
1.3 Types of Uncertainties
2(2)
1.3.1 Parameter Uncertainties
3(1)
1.3.2 Parametric Variability
3(1)
1.3.3 Structural Uncertainties
3(1)
1.3.4 Algorithmic Uncertainties
3(1)
1.3.5 Experimental Uncertainties
4(1)
1.3.6 Interpolation Uncertainties
4(1)
1.4 Forward Uncertainty Propagation
4(1)
1.5 Bayesian Approach
5(2)
1.5.1 Modular Bayesian Approach
5(1)
1.5.2 Full Bayesian Approach
6(1)
1.6 Rules of Probability
7(1)
1.7 Principles of Plausible Reasoning
8(1)
1.8 Deductive Logic
9(4)
1.9 Deductive Reasoning
13(6)
1.9.1 Quantitative Rules
14(1)
1.9.1.1 Product Rule
14(3)
1.9.1.2 Sum Rule
17(1)
1.9.2 Qualitative Rules
17(2)
1.10 Continuous Probability Distribution Functions
19(1)
1.11 Testing of Hypotheses
20(2)
1.12 Simple and Compound Hypotheses
22(1)
1.13 Urn Distribution
23(3)
1.14 Random Variables
26(2)
1.14.1 Generation of Random Numbers with a Specified Distribution
26(1)
1.14.2 Multiple Random Variables
27(1)
1.14.3 Nataf Random Variables
27(1)
1.14.4 Random Variables Defined by Their Conditional Distributions
28(1)
1.15 Monte Carlo Simulation Method
28(2)
1.16 Importance of Sampling
30(4)
1.17 Directional Simulation
34(2)
1.18 Statistical Theories of Extremes
36(1)
1.19 Modeling of Environmental Loads
37(1)
1.19.1 Return Period
37(1)
1.20 Estimate of Distribution Parameters
38(2)
1.20.1 Method of Moments
39(1)
1.20.2 Maximum Likelihood
39(1)
1.20.3 Least Squares
39(1)
1.20.4 Probability Plots
40(1)
1.21 Exercise
40(19)
Chapter 2 Structural Reliability Theory
59(60)
2.1 Reliability
59(2)
2.2 Variables in Reliability Study
61(1)
2.3 Probabilistic Approach
62(1)
2.4 Reliability Levels
63(1)
2.5 Space of Variables
64(1)
2.6 Error Estimation
64(1)
2.6.1 Classification of Errors
65(1)
2.7 Reliability and Quality Assurance
65(1)
2.8 Uncertainties Inherent in Design
65(2)
2.9 Uncertainties in System Design of Offshore Structures
67(1)
2.10 Reliability Problem
68(1)
2.11 Reliability Methods
69(1)
2.12 First-Order Second Moment Method
69(2)
2.13 Hasofer-Lind Method
71(4)
2.14 Second-Order Reliability Methods
75(1)
2.15 Simulation-Based Reliability Method
76(1)
2.16 Reliability Estimate Using Higher-Order Response Surface Methods
76(1)
2.17 High-Order Stochastic Response Surface Method
77(1)
2.18 System Reliability
78(2)
2.18.1 Series System
79(1)
2.18.2 Parallel System
80(1)
2.18.3 k-out-of-n System
80(1)
2.19 General Systems
80(1)
2.19.1 Cut Sets
80(1)
2.19.2 Path Sets
81(1)
2.20 System Functions for General Systems
81(2)
2.21 Computing System Reliability
83(3)
2.22 First-Order Estimates
86(33)
Appendix A Tutorials and Solutions
90(8)
Appendix B Application Problems
98(1)
B.2.1 Mathieu's Stability
98(7)
B.2.2 Stability of Tethers under Distinctly High Sea Waves and Seismic Excitation
105(14)
Chapter 3 Reliability Analysis
119(58)
3.1 Introduction
119(1)
3.2 Fundamental Analysis
120(4)
3.2.1 System with Equally Correlated Elements
120(2)
3.2.2 System with Unequal Correlated Elements
122(2)
3.3 Reliability Bounds for Structural Systems
124(1)
3.4 Application of Structural Codes on Safety
125(1)
3.5 Limit State Functions
126(1)
3.6 Characteristic Value of Basic Variables
126(1)
3.6.1 Treatment of Geometric Variables
126(1)
3.6.2 Treatment of Material Properties
126(1)
3.6.3 Treatment of Load and Other Actions
126(1)
3.6.4 Evaluations of Partial Coefficient
127(1)
3.7 Stochastic Modeling
127(2)
3.8 Mechanical Modeling
129(2)
3.9 Mechanical Model and Reliability Coupling
131(1)
3.10 Complexity of Mechanical Model and Reliability Coupling
132(3)
3.10.1 Complexities in Geometric Modeling of Hinged Joints
133(2)
3.11 Stochastic Process
135(3)
3.12 Gaussian Process
138(1)
3.13 Barrier Crossing
139(1)
3.14 Peak Distribution
139(1)
3.15 Fatigue Reliability
140(1)
3.15.1 Discrete Wave and Spectral Methods of Fatigue Analysis
140(1)
3.16 S--N Curve and Fatigue Damage
141(3)
3.17 Estimate of Cumulative Damage (Linear Damage Hypothesis)
144(1)
3.18 Design S--N Curves
144(1)
3.19 Fatigue Assessment Using Discrete Wave Approach
145(3)
3.19.1 S--H Relationship
145(1)
3.19.2 Fatigue Damage
146(2)
3.20 Simplified Fatigue Assessment Method
148(1)
3.20.1 Effect of Dynamic Amplification
148(1)
3.21 Spectral Fatigue Analysis of Offshore Structures
149(1)
3.22 Short-Term Fatigue Damage
150(2)
3.22.1 Evaluation of Damage Integrals
151(1)
3.23 Uncertainties in Fatigue Reliability
152(1)
3.24 Lognormal Format for Fatigue Reliability
153(1)
3.25 Tubular Joints: Experimental and Analytical Investigations
154(3)
3.25.1 Fatigue Life Estimate of Tubular Joints
156(1)
3.26 Behavior of T Joints under Axial Loads
157(9)
3.27 T Joint under Out-of-Plane Bending
166(5)
3.28 K Joints under Axial Loading
171(6)
Chapter 4 Risk Assessment
177(50)
4.1 Introduction
177(1)
4.2 Quantified Risk Assessment
178(1)
4.3 Hazard Identification
178(1)
4.4 Hazard and Operability
178(2)
4.4.1 Applicability
179(1)
4.5 HaZop Study Process
180(1)
4.5.1 Node Identification
180(1)
4.5.2 Operating Modes
181(1)
4.5.3 Lifecycle Changes
181(1)
4.6 Parameters for HaZop Study
181(6)
4.6.1 Guide Words
182(1)
4.6.2 Deviations
183(1)
4.6.3 Causes
183(1)
4.6.4 Consequences
184(1)
4.6.5 Safeguards
184(3)
4.7 HaZop: Advantages and Limitations
187(1)
4.7.1 Limitations of HaZop
187(1)
4.7.2 Example Illustration
187(1)
4.8 Logical Risk Analysis
188(7)
4.8.1 Risk Index
189(4)
4.8.2 Relative Risk
193(1)
4.8.3 Example Problem for Risk Analysis
194(1)
4.9 Failure Mode and Effect Analysis
195(4)
4.9.1 FMEA Methodology
195(2)
4.9.2 FMEA Applications
197(1)
4.9.3 FMEA Variables
198(1)
4.10 Fault Tree and Event Tree
199(2)
4.11 Fault Tree Analysis
201(2)
4.12 Event Tree Analysis
203(1)
4.13 Cause--Consequence Analysis
203(1)
4.14 Decision Trees
204(1)
4.15 Consequence Analysis
205(1)
4.15.1 Source-Strength Parameters
205(1)
4.15.2 Consequential Effects
205(1)
4.16 Limitations of QRA
206(1)
4.17 Risk Acceptance Criteria
207(1)
4.18 Risk and Hazard Assessment
208(1)
4.19 Hazard Identification
209(1)
4.20 Selection of Failure Scenarios
210(3)
4.20.1 Blocking Systems
211(1)
4.20.2 Excess Flow Valve
212(1)
4.20.3 Non-Return Valve
212(1)
4.20.4 Bund
212(1)
4.20.5 Intervention by Operators
212(1)
4.21 Fire and Thermal Radiation
213(1)
4.21.1 Jet Fires
213(1)
4.21.2 Pool Fires
213(1)
4.21.3 Fireball or Boiling Liquid Expanding Vapor Explosion
213(1)
4.21.4 Vapor Cloud Explosion
213(1)
4.22 Selection of Damage Criteria
214(2)
4.22.1 Heat Radiation
214(1)
4.22.2 Explosion
215(1)
4.23 Risk Picture
216(1)
4.24 Individual Risk
216(1)
4.25 Societal Risk
217(1)
4.26 Risk Assessment and Management
218(2)
4.26.1 Objectives of Risk Management
218(2)
4.27 Example Problem of Risk Assessment: Offshore Triceratops
220(7)
Model Exercise Papers 227(12)
References 239(8)
Index 247
Srinivasan Chandrasekaran is a professor in the Department of Ocean Engineering, Indian Institute of Technology Madras, India. He has more than 25 years of teaching, research, and industrial experience. By invitation of the Ministry of Italian University Research, he was a visiting fellow to the University of Naples Federico II, Italy, for a period of two years. He has published approximately 140 research papers. He is a member of many national and international professional bodies and has delivered many invited lectures and keynote addresses at international conferences, workshops, and seminars organized in India and abroad.