Operational Modal Analysis

Developments and Applications

Mohammad Noori, Carlo Rainieri, Carmelo Gentile

• Publisher: CRC Press
• Year: 2026
• eBook ISBN: 9781040663325
• Topic: Technology & Engineering
• Index: Technology & Engineering

Operational Modal Analysis: Developments and Applications provides a comprehensive overview of OMA and related technologies and practical usage, including the most recent advances based on artificial intelligence as well as other advanced data science techniques that can enhance the data interpretation capabilities and simplify their applications in the real world. Further, it extends the classical domain of OMA toward the development of structural health modelling technologies, digital twins, and innovative assessment procedures for materials and structures. This book serves as a practical reference for civil engineers, and other related engineering disciplines, researchers, and practitioners involved in the development and applications of OMA.

• Includes coverage of new sensing technologies as well as improvements and advancements to existing ones that will enhance practical applications across industries.
• Provides an up-to-date and extensive overview about the potentialities and limitations of the current techniques and practical applications in civil, aerospace, mechanical, and industrial engineering.
• Examines the most recent developments in related and complimentary areas of artificial intelligence.

Table of contents

• Cover
• Half Title
• Series
• Title
• Copyright
• Contents
• About the editors
• List of contributors
• Chapter 1 High-speed camera-based methods for experimental and operational modal analysis
• Chapter 2 Vision-based dynamic monitoring of a steel footbridge adopting artificial targets of different geometries
• Chapter 3 Structural displacement estimation through data fusion of GNSS and acceleration data
• Chapter 4 Stochastic modal appropriation method: Time-domain extension for MDOF systems
• Chapter 5 Automated DBSCAN-based approach for the estimate of the modal parameters
• Chapter 6 Modal, frequency-response, and moving-load analysis for system and damage identification of various structures
• Chapter 7 Temperature compensation in vibration-based structural health monitoring: Static versus dynamic regression models
• Chapter 8 Vibration-based structural health monitoring of a steel-concrete composite bridge
• Chapter 9 Deep learning-based structural health monitoring of historical towers
• Chapter 10 Assessment of bridges using dynamic monitoring and sparse autoencoders
• Chapter 11 OMA-driven FE model validation: An engineering perspective on a lively footbridge
• Chapter 12 Development of a continuous model updating strategy for vibration-based civil SHM
• Chapter 13 Measuring structural vibration behavior via deep learning and wavelet transform in laminated composite plates with nonlinearity in dimensions and boundary conditions
• Chapter 14 Vibration-based assessment of the effect of prehydration on the early-age stiffness of cement pastes
• Index