£119.35

Springer Structural Reliability: Statistical Learning Perspectives

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Description

Explore advanced methodologies in structural reliability with this specialized volume from the Lecture Notes in Applied and Computational Mechanics series. This text addresses the evolving landscape of structural reliability problems developed by global researchers over recent decades. The content focuses on determining the probability of failure in structural systems. It is specifically designed for scenarios where the limit state function g(x) = 0 is only implicitly known. Readers will find detailed coverage of methods grouped into two main categories, including those based on the Taylor expansion of the performance function g(x) about the most likely failure point, also known as the design point. This book serves as a technical resource for those studying applied and computational mechanics, providing a deep look into the mathematical and statistical approaches used to solve complex structural reliability challenges in modern engineering.

Key Features

Covers modern methods for solving structural reliability problems developed by international researchers.

Provides detailed analysis of determining the probability of failure in structural systems.

Focuses on cases where the limit state function is only implicitly known.

Includes methods based on the Taylor expansion of the performance function g(x).

Explains the determination of the design point during the solution process.

Part of the Lecture Notes in Applied and Computational Mechanics series by Springer.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
13 May 2004
Listed Since
27 December 2006

Barcode

No barcode data available

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