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Springer Computational Methods in Stochastic Dynamics Vol 2

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Description

In modern engineering, the influence of inherent uncertainties on structural behavior is a major factor in design and safety. This volume, part of the Computational Methods in Applied Sciences series, addresses the growing need for a stochastic approach to complex structural problems. As uncertainty quantification becomes more significant in the field, understanding how these variables impact the reliability of computational models is essential. This book focuses on the research developments from the last two decades regarding dynamic response analysis. It provides technical insights into the reliability assessment of structures when dealing with uncertain system and excitation parameters. This text serves as a specialized resource for those studying the intersection of computer science and structural engineering. It explores the methods used to manage uncertainty in mathematical models, helping readers understand the impact of variable parameters on structural integrity and predictive accuracy.

Key Features

Covers the importance of stochastic approaches to structural problems and inherent uncertainty.

Addresses uncertainty quantification and its direct influence on computational model reliability.

Provides research-based insights into dynamic response analysis for complex structures.

Explores reliability assessment techniques for systems with uncertain excitation parameters.

Part of the recognized Computational Methods in Applied Sciences series by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
26 September 2012
Listed Since
14 June 2012

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No barcode data available

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