Muutke küpsiste eelistusi

Computational Methods in Stochastic Dynamics [Kõva köide]

  • Formaat: Hardback, 342 pages, kõrgus x laius: 235x155 mm, kaal: 1490 g, XII, 342 p., 1 Hardback
  • Sari: Computational Methods in Applied Sciences 22
  • Ilmumisaeg: 30-Nov-2010
  • Kirjastus: Springer
  • ISBN-10: 9048199867
  • ISBN-13: 9789048199860
Teised raamatud teemal:
  • Kõva köide
  • Hind: 141,35 €*
  • * hind on lõplik, st. muud allahindlused enam ei rakendu
  • Tavahind: 166,29 €
  • Säästad 15%
  • Raamatu kohalejõudmiseks kirjastusest kulub orienteeruvalt 2-4 nädalat
  • Kogus:
  • Lisa ostukorvi
  • Tasuta tarne
  • Tellimisaeg 2-4 nädalat
  • Lisa soovinimekirja
  • Formaat: Hardback, 342 pages, kõrgus x laius: 235x155 mm, kaal: 1490 g, XII, 342 p., 1 Hardback
  • Sari: Computational Methods in Applied Sciences 22
  • Ilmumisaeg: 30-Nov-2010
  • Kirjastus: Springer
  • ISBN-10: 9048199867
  • ISBN-13: 9789048199860
Teised raamatud teemal:
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.

Arvustused

From the book reviews:

The book is addressed to researchers, post-graduate level, and PhD students who are familar with the fundamentals of computational stochastic structural dynamics. The book does a good job of covering the topic of earthquake engineering application of the computational methods. The book gives lot of useful theoretical, computational, and practical information, andI think because of the wide spectrum of the content of the book, everybody can find something according to their special interest. (Béla Buna, International Journal of Acoustics and Vibration, Vol. 19 (3), 2014)

Model Reduction and Uncertainties in Structural Dynamics
1(24)
Gerhart I. Schueller
Barbara Goller
Helmut J. Pradlwarter
Resonant Damping of Flexible Structures Under Random Excitation
25(22)
Steen Krenk
Jan Høgsberg
Importance Sampling of Nonlinear Structures Using Adapted Process
47(20)
Siu-Kui Au
Use of Time-Variant Spectral Characteristics of Nonstationary Random Processes in the First-Passage Problem for Earthquake Engineering Applications
67(22)
Michele Barbato
Stochastic Seismic Analysis of Large Linear Structural Systems Under Fully Non-stationary Spectrum Compatible Ground Motion
89(22)
Pierfrancesco Cacciola
Giuseppe Muscolino
Soil Spatial Variability and Structural Reliability of Buried Networks Subjected to Earthquakes
111(18)
Sidi Mohammed Elachachi
Denis Breysse
Hichem Benzeguir
An Efficient First-Order Scheme for Reliability Based Optimization of Stochastic Systems
129(26)
Hector A. Jesen
Gerhart I. Schueller
Marcos A. Valdebenito
Danilo S. Kusanovic
Application of a Mode-based Meta-Model for the Reliability Assessment of Structures Subjected to Stochastic Ground Acceleration
155(16)
Lukas Pichler
Helmut J. Pradlwarter
Gerhart I. Schueller
Nonlinear Dynamic Response Variability and Reliability of Frames with Stochastic Non-Gaussian Parameters
171(16)
George Stefanou
Michalis Fragiadakis
The Role of Uncertainties in Aeolian Risk Assessment
187(22)
Francesco Petrini
Marcello Ciampoli
Giuliano Augusti
The Method of Separation: A Novel Approach for Accurate Estimation of Evolutionary Power Spectra
209(20)
Dominik Schillinger
Vissarion Papadopoulos
A Seismologically Consistent Husid Envelop Function for the Stochastic Simulation of Earthquake Ground-Motions
229(18)
Sara Sgobba
Peter J. Stafford
Giuseppe C. Marano
Sparse Representations in Stochastic Mechanics
247(20)
Hermann G. Matthies
Elmar Zander
Auto-parametric Stability Loss and Post-critical Behaviour of a Three Degrees of Freedom System
267(24)
Jiri Naprstek
Cyril Fischer
Probability Based Size Effect Representation for Failure in Civil Engineering Structures Built of Heterogeneous Materials
291(24)
Adnan Ibrahimbegovic
Jean-Baptiste Colliat
Martin Hautefeuille
Delphine Brancherie
Sergiy Melnyk
The Scatter of Eigenfrequencies in Beams Made of Metal Foam
315(26)
Daniel Schwarzer
Carsten Proppe
Index 341