Overview

This volume is drawn from the proceedings of the Working Conference on Reliability and Optimization of Structural Systems. Selected contributions from expert authors focus on the reliability and optimization of structural and infrastructural systems. The chapters examine probabilistic strength and load modeling, lifecycle reliability, damage accumulation, and issues related to health monitoring and inspection. The book also reviews applications, discusses structural safety, and includes material on special structures such as bridges, wind turbines, and offshore structures.

Full Product Details

Author:   Daniel Straub ,  B. D. H. Miller
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.640kg
ISBN:  

9780415881791

ISBN 10:   041588179
Pages:   260
Publication Date:   28 July 2010
Audience:   College/higher education ,  General/trade ,  Tertiary & Higher Education ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Preface Bayesian network modeling of system performanceM.T. Bensi, A. Der Kiureghian & D. Straub Reliability analysis of a pressurized water reactor vessel using sparse polynomial chaos expansions G. Blatman & B. Sudret The maximum of a stationary non-differentiable Gaussian process K. Breitung Introducing results from non-destructive testing into time variant safety analysis C. Bucher Damage identification by Levy ant colony optimizationG. Cottone, A. Pirrotta, G. Fileccia Scimemi & E. Riva Sanseverino Expected life-cycle costs of bolted connections for steel buildings subjected to seismic loading D. De Leon A hierarchical surrogate-based strategy for reliability-based design optimization V. Dubourg, J.-M. Bourinet & B. Sudret Structural reliability assessment using Kriging metamodel and Monte Carlo simulation: AK-MCS method B. Echard, N. Gayton & M. Lemaire Life-cycle framework for maintenance, monitoring, and reliability of naval ship structures D.M. Frangopol & N.M. Okasha Optimal maintenance planning considering deterioration uncertainty H. Hattori, H. Furuta, K. Nakatsu, N. Tokioka & K. Ishibashi Bridge health monitoring using output-only vibration measurements excited by a single moving vehicle C.W. Kim & M. Kawatani Risk analysis of fatigue-induced sequential failures by Branch-and-Bound method employing system reliability bounds Y.-J. Lee & J. Song Probabilistic damage assessment by means of Bayesian FE model updating G. Lombaert, B. Moaveni & J.P. Conte Optimal structural control under stochastic uncertainty K. Marti & I. Stein Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating T. Most Risk-based operation and maintenance planning for offshore wind turbines J.J. Nielsen & J.D. Sorensen A scalable parametric approximation to multi-normal probability integrals K. Nishijima, J. Qin & M.H. Faber Stochastic life-cycle cost analysis of structures in a finite time planning horizon M.D. Pandey & T. Cheng Geotechnical reliability updating using stochastic FEM I. Papaioannou & D. Straub Optimal design of tall buildings subjected to wind action in the framework of performance based design F. Petrini, M. Ciampoli & G. Augusti Framework for probabilistic calibration of fatigue design factors for offshore wind turbine support structures J.G. Rangel-Ramirez & J.D. Sorensen Multiobjective non-linear random vibration analysis for performance-based earthquake engineering S. Sessa Fuzzy reliability of concrete bridge elements with respect to the reinforcement chloride corrosion R. Sieniawska, P. Sniady & S. Zukowski Dynamic response optimization of tall buildings subject to extreme wind loads S.M.J. Spence & M. Gioffre Reliability updating with measurements in spatially distributed systems using stochastic simulation D. Straub Structural optimization based on reliability index mapping functions W.H. Tang & J. Zhang Fatigue life of wind turbine blades P. Thoft-Christensen, R.R. Pedersen & S.R.K. Nielsen Load level and target column over-design factors of frames under a specific reliability level Y.-G

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