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Elsevier Structural Health Monitoring of Bridges - Pattern Recognition Guide

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Description

Structural Health Monitoring of Bridges: A Pattern Recognition Paradigm presents an innovative framework for assessing bridge infrastructure using statistical pattern recognition and machine learning techniques. This Woodhead Publishing title combines data-driven methodologies with advanced computational approaches to detect faults and anomalies more effectively than traditional monitoring methods. The book explores how modern machine learning algorithms can transform infrastructure assessment, offering engineers and researchers practical insights into applying pattern recognition for improved structural evaluation and long-term bridge safety.

Key Features

Introduces statistical pattern recognition (SPR) methodologies specifically applied to bridge structural health monitoring and fault detection.

Presents a hybrid framework integrating data-driven approaches with advanced computational techniques for enhanced infrastructure assessment.

Explores machine learning algorithms and their application to anomaly detection in bridge structures and civil engineering systems.

Published by Woodhead Publishing in the Civil and Structural Engineering series, providing authoritative content on modern monitoring technologies.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 February 2027
Listed Since
06 August 2025

Barcode

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