Computational Methods in Stochastic Dynamics
Manolis Papadrakakis
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Computational Methods in Stochastic Dynamics
Published
Dec 28, 2012
Publisher
Springer
Pages
342
ISBN-13
9789400734340
ISBN-10
9400734344
Description
<p>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. </p><p> </p><p>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.</p><p> </p><p>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.</p><p> </p><p>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. </p><p> </p>
Subjects
NASA/DoD aerospace knowledge diffusion research project
De la terre à la lune
[William Wheeler Hubbell, authorized to apply for patents.]
Ender's Game
Brave New World
The Art of War
Frequently Asked Questions
How many pages are in Computational Methods in Stochastic Dynamics?
This edition of Computational Methods in Stochastic Dynamics has approximately 342 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Computational Methods in Stochastic Dynamics?
For most readers, Computational Methods in Stochastic Dynamics typically takes between 7h 8m and 4h 45m to complete. This is based on the book's length of approximately 85,500 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 5h 42m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 12 days • Estimated word count: 85,500 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Computational Methods in Stochastic Dynamics?
The estimated word count for Computational Methods in Stochastic Dynamics is approximately 85,500 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Computational Methods in Stochastic Dynamics?
Computational Methods in Stochastic Dynamics was written by Manolis Papadrakakis.
When was Computational Methods in Stochastic Dynamics published?
The publication date for this specific edition is Dec 28, 2012. The original work may have been published on a different date.