Ebook: Computational Methods in Stochastic Dynamics: Volume 2

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.

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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.

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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.

Content:
Front Matter....Pages I-XVI
Random Dynamical Response of a Multibody System with Uncertain Rigid Bodies....Pages 1-14
Dynamic Variability Response for Stochastic Systems....Pages 15-30
A Novel Reduced Spectral Function Approach for Finite Element Analysis of Stochastic Dynamical Systems....Pages 31-54
Computational Stochastic Dynamics Based on Orthogonal Expansion of Random Excitations....Pages 55-67
Numerical Solution of the Fokker–Planck Equation by Finite Difference and Finite Element Methods—A Comparative Study....Pages 69-85
A Comparative Study of Uncertainty Propagation Methods in Structural Problems....Pages 87-111
Fuzzy and Fuzzy Stochastic Methods for the Numerical Analysis of Reinforced Concrete Structures Under Dynamical Loading....Pages 113-130
Application of Interval Fields for Uncertainty Modeling in a Geohydrological Case....Pages 131-147
Enhanced Monte Carlo for Reliability-Based Design and Calibration....Pages 149-159
Optimal Design of Base-Isolated Systems Under Stochastic Earthquake Excitation....Pages 161-178
Robust Structural Health Monitoring Using a Polynomial Chaos Based Sequential Data Assimilation Technique....Pages 179-202
Efficient Model Updating of the GOCE Satellite Based on Experimental Modal Data....Pages 203-213
Identification of Properties of Stochastic Elastoplastic Systems....Pages 215-235
SH Surface Waves in a Half Space with Random Heterogeneities....Pages 237-253
Structural Seismic Fragility Analysis of RC Frame with a New Family of Rayleigh Damping Models....Pages 255-266
Incremental Dynamic Analysis and Pushover Analysis of Buildings. A Probabilistic Comparison....Pages 267-291
Stochastic Analysis of the Risk of Seismic Pounding Between Adjacent Buildings....Pages 293-308
Intensity Parameters as Damage Potential Descriptors of Earthquakes....Pages 309-326
Classification of Seismic Damages in Buildings Using Fuzzy Logic Procedures....Pages 327-334
Damage Identification of Masonry Structures Under Seismic Excitation....Pages 335-344
....Pages 345-356