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Springer SHM&ES 2020 - Structural Health Monitoring Book

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Description

This Springer publication presents the select proceedings from the International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020. It provides a comprehensive look at the applied and technological aspects of structural health monitoring through various research lenses. The text covers essential topics for the field, including damage assessment, engineering fracture mechanics, and non-destructive evaluation. It also explores modern computational methods such as machine learning, deep learning, artificial intelligence, and inverse problems using optimization techniques. This book serves as a valuable reference for students and professionals working in civil engineering and applied natural sciences.

Key Features

Contains select proceedings from the International Conference on Structural Health Monitoring and Engineering Structures (SHM&ES) 2020.

Covers technical topics including damage assessment and engineering fracture mechanics for structural analysis.

Explores advanced computational methods such as machine learning, deep learning, and artificial intelligence.

Provides research on non-destructive evaluation and inverse problems using optimization techniques.

Serves as a professional reference for students and experts in civil engineering and applied sciences.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 July 2022
Listed Since
28 June 2022

Barcode

No barcode data available

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