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Full Description
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.
Contents
Chapter 1: High-speed Camera Based Methods for Experimental and Operational Modal Analysis
Zaletelj K., Gorjup D., and Slavic J.
Chapter 2: Vision-based dynamic monitoring of a steel footbridge adopting artificial targets of different geometries
Onyedikachi Uchechi Bliss , Shimaa Abdelhafeez, Adimuko Goodluck, Humphrey Sam Samuel and Obi Charles Kingsley
Chapter 3: Structural displacement estimation through data fusion of GNSS and acceleration data
Ponsi F., Castagnetti C., Eslami Varzaneth G., Bassoli E., Mancini F. and Vincenzi L.
Chapter 4: Stochastic Modal Appropriation method: time domain extension for MDOF systems
Giuliano Coppotelli and Maher Abdelghani
Chapter 5: Automated DBSCAN-Based approach for the estimate of the modal parameters
Sbarra R.G., and Coppotelli G.
Chapter 6: Modal, frequency-response, and moving-load analysis for system and damage identification of various structures
Auersch L., Said S.
Chapter 7: Temperature compensation in vibration based Structural Health Monitoring: static vs. dynamic regression models
Soroosh Kamali
Stefano Mariani and Alessandro Marzani
Chapter 8: Vibration-based Structural Health Monitoring of a Steel-concrete Composite Bridge
Gentile C., Avramova A.
Chapter 9: Deep Learning-based Structural Health Monitoring of Historical Towers
Girardi M., Gurioli G., Messina N., Padovani C., and Pellegrini D.
Chapter 10: Assessment of Bridges using Dynamic Monitoring and Sparse Autoencoders
Pirrò M. and Gentile C.
Chapter 11: OMA-Driven FE Model Validation: An Engineering Perspective on a Lively Footbridge
M.G. Mulas, C. Fortis and C. Gentile
Chapter 12: Development of a continuous model updating strategy for vibration-based civil SHM
Rosati I. and Rainieri C.
Chapter 13: Measuring Structural Vibration Behavior Via Deep Learning And Wavelet Transform in Laminated Composite Plates with Nonlinearity in Dimensions and Boundary Conditions
Altabey W.A., Noori M., Silik A. Wael A. Altabey, Mohammad Noori, and Ahmed Silik
Chapter 14: Vibration-Based Assessment of the Effect of Prehydration on the Early-Age Stiffness of Cement Pastes
P. Cassese, L. Cieri and C. Rainieri
