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040			_aNISER LIBRARY _beng _cNISER LIBRARY
082			_a519.21 _bPAP-C
245			_aComputational methods of stochastic dynamics, volume 2
260			_aNew York : _bSpringer, _c2013.
300			_axvi, 356 pages
490			_aComputational methods in applied sciences, _vv. 26 _x1871-3033 ;
504			_aIncludes bibliographical references
520			_aThe considerable influence of inherent uncertainties on structural behavior has led the engineering community to recognize the importance of a stochastic approach to structural problems. Issues related to uncertainty quantification and its influence on the reliability of the computational models are continuously gaining in significance. In particular, the problems of dynamic response analysis and reliability assessment of structures with uncertain system and excitation parameters have been the subject of continuous research over the last two decades as a result of the increasing availability of powerful computing resources and technology. This book is a follow up of a previous book with the same subject (ISBN 978-90-481-9986-0) and focuses on advanced computational methods and software tools which can highly assist in tackling complex problems in stochastic dynamic/seismic analysis and design of structures. The selected chapters are authored by some of the most activescholars in their respective areas and represent some of the most recent developments in this field. The book consists of 21 chapters which can be grouped into several thematic topics including dynamic analysis of stochastic systems, reliability-based design, structural control and health monitoring, model updating, system identification, wave propagation in random media, seismic fragility analysis and damage assessment. This edited book is primarily intended for researchers and post-graduate students who are familiar with the fundamentals and wish to study or to advance the state of the art on a particular topic in the field of computational stochastic structural dynamics. Nevertheless, practicing engineers could benefit as well from it as most code provisions tend to incorporate probabilistic concepts in the analysis and design of structures.
650			_aStochastic processes _xMathematical models
650			_aStochastic dynamics
650			_aReliability analysis
700			_aPapadrakakis, Manolis _eeditor
700			_aStefanou, George _eeditor
700			_aPapadopoulos, Vissarion _eeditor
856			_3Table of contents _uhttps://link.springer.com/content/pdf/bfm:978-94-007-5134-7/1
856			_3Reviews _uhttps://www.goodreads.com/book/show/15922077-computational-methods-in-stochastic-dynamics?ref=nav_sb_ss_1_13#CommunityReviews
942			_2udc _cBK
999			_c35956 _d35956