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Springer Computational Methods in Stochastic Dynamics Volume 2

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Description

Computational Methods in Stochastic Dynamics: Volume 2 addresses the critical role of uncertainty in structural engineering and computational modelling. This Springer publication explores how inherent uncertainties influence structural behaviour and examines uncertainty quantification methods essential for assessing model reliability. The book covers dynamic response analysis and reliability assessment of structures with uncertain system and excitation parameters, providing engineers and researchers with advanced techniques for handling stochastic problems. Written for professionals in applied sciences and computational engineering, this volume combines theoretical foundations with practical methodologies for analysing complex systems subject to random variations and unpredictable loading conditions.

Key Features

Springer publication offering comprehensive coverage of stochastic dynamics computational approaches for modern engineering applications.

Addresses uncertainty quantification techniques critical for validating and improving reliability of computational structural models.

Explores dynamic response analysis methods for structures experiencing uncertain system parameters and variable excitation conditions.

Part of the Computational Methods in Applied Sciences series, Volume 26, providing advanced technical content for engineering professionals.

Covers reliability assessment strategies essential for engineers designing structures in uncertain environments and variable conditions.

Product Specifications

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

Barcode

No barcode data available

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