Data Driven Methods for Civil Structural Health Monitoring and Resilience (ePub)
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Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides an overview of data-driven methods for structural health monitoring (SHM) and resilience of civil engineering structures, mostly based on artificial intelligence or other advanced data science techniques.
Carlo Rainieri is currently a research scientist at the National Research Council of Italy. His research interests are in the fields of civil structural health monitoring, operational modal analysis, and smart materials. He has been a number of national as well as international research projects focused on civil SHM. He is member of the editorial board of a number of scientific journals, such as Shock and Vibration, Infrastructures, Mathematical Problems in Engineering, and Advances in Civil Engineering, and he serves as guest editor for the Journal of Civil Structural Health Monitoring. Moreover, he was lead editor of the special issue on "Automated Operational Modal Analysis and Its Applications in Structural Health Monitoring" published in Shock and Vibration. In 2019, he received the International Operational Modal Analysis Conference (IOMAC) scientific award for his contribution to the development of operational modal analysis. He was chair of the 8th Civil Structural Health Monitoring Workshop (2021), and he was member of the scientific committee of a number of international conferences in the fields of operational modal analysis and SHM.
He is author of the first book on operational modal analysis that appeared in the literature (Operational Modal Analysis of Civil Engineering Structure: An Introduction and Guide for Applications, Springer) and of about 170 papers published in international peer-reviewed journals and national and international conference proceedings. His main achievements in the field of civil SHM have been the development of data-processing methods for vibration-based SHM applications, including a number of original automated operational modal analysis procedures and novel methods for compensation of environmental and operational influences on modal properties. Dr. Rainieri is also the founder and former CEO of S2X s.r.l. (www.s2x.it), a spin-off company of the University of Molise aimed at providing highly qualified solutions and services in the fields of civil SHM and output-only modal analysis of civil engineering structures.
Marco Domaneschi is currently an assistant professor at the Department of Structural, Geotechnical and Building Engineering of Politecnico di Torino, where he teaches earthquake engineering and structural design courses. Formerly, he was a research associate and appointed professor of structural engineering at Politecnico di Milano. He is a professional structural engineer for special structures and serves as an R&D consultant in industrial manufacturing and mechanical engineering. He received his PhD from the University of Pavia (2006) and was a visiting researcher at several global universities. He currently serves as an associate editor and editorial board member for several international journals such as the Journal of Vibration and Control (SAGE) and Bridge Engineering (Institution of Civil Engineers, UK). He is also a member of several research associations such as the International Society of Structural Health Monitoring of Intelligent Infrastructure (ISHMII) and the International Association for Bridge Maintenance and Safety (IABMAS). He is also a reviewer for more than 40 international journals. He has been a speaker, sessions chair, editorial board member, and organizer in several international conferences. He received numerous awards for best presentations at conferences, and for research papers and activities. He supports/supported the coordination of several research projects and has/had scientific responsibility in numerous research projects. He has authored over 70 journal articles and 130 international conference papers. His research interests and activities include structural control and health monitoring, resilience and robustness of structures and communities, earthquake engineering and seismic risk, special structures, small- and large-scale simulations, emergency evacuation, and structural collapse analysis.
Vasilis Sarhosis is an associate professor of structural engineering at the School of Civil Engineering, University of Leeds, UK. He holds both undergraduate and postgraduate degrees in civil engineering from the University of Leeds and worked as a consultant civil engineer in the UK. His main expertise lies in the development of advanced high-fidelity models of nonlinear response to quantify degradation and understand the long-term behavior of existing masonry infrastructure stock (e.g., bridges, tunnels, historic structures, and monuments) subjected to extreme loading conditions. Recently, he pioneered the development of the Cloud2DEM procedure to transform three-dimensional (3D) point clouds of complex structures obtained from photogrammetry and laser scanning to 3D discrete element models. The approach enables the realistic structural analysis of "as-is" masonry infrastructure in an accurate and computationally efficient manner. Dr. Sarhosis is a Chartered Engineer (CEng), Fellow of the Institute of Mechanical Engineering (FIMEchE), and Fellow of the Higher Education Academy (FHEA) in the UK. He is currently chairing the National Scientific Committee on the Analysis and Restoration of Structures of Architectural Heritage (ISCARSAH-UK), which is part of the International Council on Monuments and Sites (ICOMOS). He has edited a book on computational modeling of masonry structures using the discrete element method and published more than 100 peer-reviewed journal articles. His research has been cited more than 1,500 times, and his h-index is 22 (Scopus). For more information, please visit his website (https://www.sarhosis.com/home-1).
- 2023, 1. Auflage, 358 Seiten, Englisch
- Herausgegeben: Mohammad Noori, Carlo Rainieri, Marco Domaneschi, Vasilis Sarhosis
- Verlag: Taylor & Francis
- ISBN-10: 1000965589
- ISBN-13: 9781000965582
- Erscheinungsdatum: 26.10.2023
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- Größe: 13 MB
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