Computational Methods in Stochastic Dynamics [Hardcover]

At the dawn of the 21st century, computational stochastic dynamics is an emerging research frontier. This book 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 book is primarily intended for researchers and post-graduate students in the fields of computational mechanics and stochastic structural dynamics. Nevertheless, practice engineers as well could benefit from it as most code provisions tend to incorporate probabilistic concepts in the analysis and design of structures.The book addresses mathematical and numerical issues in stochastic structural dynamics and connects them to real-world applications. It consists of 16 chapters dealing with recent advances in a wide range of related topics (dynamic response variability and reliability of stochastic systems, risk assessment, stochastic simulation of earthquake ground motions, efficient solvers for the analysis of stochastic systems, dynamic stability, stochastic modelling of heterogeneous materials). Numerical examples demonstrating the significance of the proposed methods are presented in each chapter.

Covering what is an emerging frontier in research, this book focuses on advanced computational methods and software tools. These can be of huge assistance in tackling complex problems in stochastic dynamic and seismic analysis as well as structure design.

Preface; Model Reduction and Uncertainties in Structural Dynamics, by G.I. Schu?ller (in Cooperation with B. Goller and H.J. Pradlwarter); Resonant Damping of Flexible Structures under Random Excitation, by Steen Krenk and Jan H?gsberg; Importance sampling of nonlinear structures using adapted process, by Siu-Kui Au; Use of time-variant spectral characteristics of non-stationaryrandom processes in the first-passage problem for earthquake engineering applications, by Michele Barbato; Stochastic seismic analysis of larl3