Computational Methods in Stochastic Dynamics [electronic resource] : Volume 2 /
Papadrakakis, Manolis.editor.
Stefanou, George.editor.
Papadopoulos, Vissarion.editor.
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.  .
Description based upon print version of record.
Includes bibliographical references.
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 Graf and 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 μ-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. Rosić 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.  .
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.  .
Vibration.
Dynamical systems.
Dynamics.
Computer mathematics.
Statistics .
Vibration, Dynamical Systems, Control.
Computational Science and Engineering.
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
Computational methods in applied sciences