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Computational Methods in Stochastic Dynamics: Volume 2 2013 ed. [Kõva köide]

  • Formaat: Hardback, 356 pages, kõrgus x laius: 235x155 mm, kaal: 6801 g, XVI, 356 p., 1 Hardback
  • Sari: Computational Methods in Applied Sciences 26
  • Ilmumisaeg: 26-Sep-2012
  • Kirjastus: Springer
  • ISBN-10: 9400751338
  • ISBN-13: 9789400751330
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  • Formaat: Hardback, 356 pages, kõrgus x laius: 235x155 mm, kaal: 6801 g, XVI, 356 p., 1 Hardback
  • Sari: Computational Methods in Applied Sciences 26
  • Ilmumisaeg: 26-Sep-2012
  • Kirjastus: Springer
  • ISBN-10: 9400751338
  • ISBN-13: 9789400751330
Teised raamatud teemal:

The 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 active scholars 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.



Primarily intended for readers who are familiar with the fundamentals, this book presents advanced computational methods and software tools which can assist in tackling complex problems in stochastic dynamic/seismic analysis and design of structures.

Arvustused

This text is well written and structured efficiently. It offers readers a good number of worked examples, exercises, datasets, and explores a host of applications. The book makes an important and stimulating contribution to a multidisciplinary scientific community, while demonstrating the application and usefulness of mathematical and statistical techniques. (S. E. Ahmed, Technometrics, Vol. 56 (4), November, 2014)

Preface.-  Random Dynamical Response of a Multibody System with
Uncertain Rigid Bodies, by Anas Batou and Christian Soize.-  Dynamic
Variability Response for Stochastic Systems, by Vissarion Papadopoulos and
Odysseas Kokkinos.-  A Novel Reduced Spectral Function Approach for Finite
Element Analysis of Stochastic Dynamical Systems, by Abhishek Kundu and
Sondipon Adhikari.-  Computational Stochastic Dynamics based on Orthogonal
Expansion of Random Excitations, by X. Frank Xu and George Stefanou.-
 Numerical solution of the Fokker-Planck equation by finite difference and
finite element methods - a comparative study, by L. Pichler, A. Masud and L.
A. Bergman.-  A Comparative study of Uncertainty Propagation Methods in
Structural Problems, by Manuele Corradi, Marco Gherlone, Massimiliano Mattone
and Marco Di Sciuva.-  Fuzzy and fuzzy stochastic methods for the numerical
analysis of reinforced concrete structures under dynamical loading, by Frank
Steinigen, Jan-Uwe Sickert, Wolfgang Grafand Michael Kaliske.-  Application
of interval fields for uncertainty modeling in a geohydrological case, by Wim
Verhaeghe, Wim Desmet, Dirk Vandepitte, Ingeborg Joris, Piet Seuntjens and
David Moens.-  Enhanced Monte Carlo for Reliability-Based Design and
Calibration, by Arvid Naess, Marc Maes and Marcus R. Dann.-  Optimal Design
of Base-Isolated Systems under Stochastic Earthquake Excitation, by Hector A.
Jensen, Marcos A. Valdebenito and Juan G. Sepulveda.-  Systematic formulation
of model uncertainties and robust control in smart structures using H and
-analysis, by Amalia Moutsopoulou, Georgios E. Stavroulakis and Anastasios
Pouliezos.-  Robust Structural Health Monitoring Using a Polynomial Chaos
Based Sequential Data Assimilation Technique, by George A. Saad and Roger G.
Ghanem.-  Efficient model updating of the GOCE satellite based on
experimental modal data, by B. Goller, M. Broggi, A. Calvi and G.I.
Schuëller.-  Identification of properties of stochastic elastoplastic
systems, by Bojana V. Rosi and Hermann G. Matthies.-  SH surface waves in a
half space with random heterogeneities, by Chaoliang Du and Xianyue Su.-
 Structural seismic fragility analysis of RC frame with a new family of
Rayleigh damping models, by Pierre Jehel, Pierre Léger and Adnan
Ibrahimbegovic.-  Incremental dynamic analysis and pushover analysis of
buildings: A probabilistic comparison, by Yeudy F. Vargas, Luis G. Pujades,
Alex H. Barbat and Jorge E. Hurtado.-  Stochastic analysis of the risk of
seismic pounding between adjacent buildings, by Enrico Tubaldi and Michele
Barbato.-  Intensity Parameters as Damage Potential Descriptors of
Earthquakes, by Anaxagoras Elenas.-  Classification of Seismic Damages in
Buildings Using Fuzzy Logic Procedures, by Anaxagoras Elenas, Eleni
Vrochidou, Petros Alvanitopoulos and Ioannis Andreadis.-  Damage
identification of masonry structures under seismic excitation, by G. De
Matteis, F. Campitiello, M.G. Masciotta, and M. Vasta.