Offshore Structural Engineering Reliability and Risk Assessment

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.

Concept of Probability and Sampling StatisticsIntroductionReliability and RiskTypes of UncertaintiesForward Uncertainty PropagationBayesian ApproachRules of ProbabilityPrinciples of Plausible ReasoningDeductive LogicDeductive ReasoningContinuous Probability Distribution FunctionsTesting of HypothesesSimple and Compound HypothesesUrn DistributionRandom VariablesMonte Carlo Simulation MethodImportance of SamplingDirectional SimulationStatistical Theories of ExtremesModeling of Environmental LoadsEstimate of Distribution ParametersExerciseStructural Reliability TheoryReliabilityVariables in Reliability StudyProbabilistic ApproachReliability LevelsSpace of VariablesError EstimationClassification of ErrorsReliability and Quality AssuranceUncertainties Inherent in DesignUncertainties in System Design of Offshore StructuresReliability ProblemReliability MethodsFirst-Order Second Moment MethodHasofer–Lind MethodSecond-Order Reliability MethodsSimulation-Based Reliability MethodReliability Estimate Using Higher-Order Response Surface MethodsHigh-Order Stochastic Response Surface MethodSystem ReliabilityGeneral SystemsSystem Functions for General SystemsComputing System ReliabilityFirst-Order EstimatesReliability AnalysisIntroductionFundamental AnalysisReliability Bounds for Structural SystemsApplication of Structural Codes on SafetyLimit State FunctionsCharacteristic Value of Basic VariablesStochastic ModelingMechanical ModelingMechanical Model and Reliability CouplingComplexity of Mechanical Model and ReliabilityCouplingStochastic ProcessGaussian ProcessBarrier CrossingPeak DistributionFatigue ReliabilityS–N Curve and Fatigue DamageEstimate of Cumulative Damage(Linear Damage Hypothesis)Design S–N CurvesFatigue Assessment Using Discrete Wave ApproachSimplified Fatigue Assessment MethodSpectral Fatigue Analysis of Offshore StructuresShort-Term Fatigue DamageUncertainties in Fatigue ReliabilityLognormal Format for Fatigue ReliabilityTubular Joints: Experimental and AnalyticalInvestigationsFatigue Life Estimate of Tubular JointsBehavior of T Joints under Axial LoadsT Joint under out-of-Plane BendingK Joints under Axial LoadingRisk AssessmentIntroductionQuantified Risk AssessmentHazard IdentificationHazard and OperabilityHaZop Study ProcessParameters for HaZop StudyHaZop: Advantages and LimitationsLogical Risk AnalysisFailure Mode and Effect AnalysisFault Tree and Event TreeFault Tree AnalysisEvent Tree AnalysisCause–Consequence AnalysisDecision TreesConsequence AnalysisLimitations of QRARisk Acceptance CriteriaRisk and Hazard AssessmentHazard IdentificationSelection of Failure ScenariosFire and Thermal RadiationSelection of Damage CriteriaRisk PictureIndividual RiskSocietal RiskRisk Assessment and ManagementExample Problem of RiskAssessment: Offshore TriceratopsModel Exercise PapersReferences

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.