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Full Description
This book is a collection of selected contributions from the 10th International Operational Modal Analysis (OMA) Conference held inNaples, Italy on May 21-24, 2024. Each chapter of Operational Modal Analysis: Developments and Applications covers a relevant contribution to extend the classical domain of OMA toward the development of new sensing as well as structural health monitoring (SHM) technologies, digital twins, and innovative assessment procedures for materials and structures. The focus of these chapters is on the primary role of OMA in civil engineering as well as related industrial applications and fields. Thus, the book provides an up-to-date overview of OMA applications and related technologies and methodologies and can support researchers, practicing engineers, and technicians, as well as students, in order to enhance their knowledge on this important topic.
Features
Presents numerous application examples and case studies.
Shows how advanced AI technologies contribute to the progress of methodologies and techniques of OMA and SHM in the field.
Introduces the applicability of OMA for the devlopment of structural digital twins.
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
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