Data Driven Methods for Civil Structural Health Monitoring and Resilience
Idioma: inglés
Editorial: CRC Press, 2026
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N° de ref. del artículo L0-9781032308388
- Título
- Data Driven Methods for Civil Structural Health Monitoring and Resilience
- Editorial
- CRC Press
- Año de publicación
- 2026
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 10
- 1032308389
- ISBN 13
- 9781032308388
- Peso del artículo
- 660 gramos
Data Driven Methods for Civil Structural Health Monitoring and Resilience: Latest Developments and Applications provides a comprehensive 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. This allows existing structures to be turned into smart structures, thereby allowing them to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis. Artificial-intelligence-based methodologies are becoming increasingly more attractive for civil engineering and SHM applications; machine learning and deep learning methods can be applied and further developed to transform the available data into valuable information for engineers and decision makers.
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Acerca del autor
Mohammad Noori is a professor of mechanical engineering at California Polytechnic State University, San Luis Obispo; a fellow and life member of the American Society of Mechanical Engineering (ASME); and a recipient of the Japan Society for Promotion of Science Fellowship. His work in nonlinear random vibrations, especially hysteretic systems, in seismic isolation and application of artificial intelligence methods for structural health monitoring is widely cited. He has authored over 300 refereed papers, including over 150 journal articles; has published 15 scientific books, and 31 book chapters in archival volumes; has edited 15 technical books; and has been the guest editor of 15 journal volumes and proceedings. Noori was a co-founder of the National Institute of Aerospace, established through a $379 million 15-year NASA contract in partnership with NASA Langley Research Center. He has also received over $14 million in support of his research from the National Science Foundation (NSF), the Office of Naval Research (ONR), the National Sea Grant, and industry. He has supervised 24 postdoctoral, 26 PhD, and 53 MS projects. He has given over 20 keynote and 76 invited talks and lectures. He is the founding executive editor of a scientific journal, serves on the editorial board or as the associate editor of over 15 other journals, and has been a member of the scientific committee of numerous conferences. He directed the Sensors Program at the NSF in 2014, has been a distinguished visiting professor at several highly ranked universities in Europe and Asia, and serves as the scientific advisor for several organizations and technical firms. He was the dean of engineering at Cal Poly, served as a chaired professor and department head at North Carolina State University and Worcester Polytechnic Institute, and served as the chair of the national committee of mechanical engineering department heads. Noori has developed a unique online course, How to Write an Effective Research Paper, offered by Udemy.com and taken by over 9,000 students worldwide. Noori is an elected member of the Sigma Xi, Pi Tau Sigma, Chi-Epsilon, and Sigma Mu Epsilon honorary research societies. In 1996, Noori was invited by President Clinton’s Special Commission on Critical Infrastructure Protection and presented a testimony as a national expert on that topic. Noori is the founding editor of the Resilience and Sustainability in Civil, Mechanical, Aerospace and Manufacturing Engineering Systems Series of CRC Press/Taylor & Francis Group.
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).
Wael A. Altabey
Dr. Wael A. Altabey is a full professor at department of Mechanical Engineering, Alexandria University, Alexandria, Egypt. Before that he was a research associate professor between 2018 to 2024 at International Institute for Urban Systems Engineering (IIUSE), Southeast University, Nanjing, China, and National and Local Joint Engineering Research Center for Basalt Fiber Production and Application Technology, Southeast University, Nanjing, Jiangsu, China, after completing a postdoctoral research fellowship for two years (2016-2018).
Since 2016 his researches have focused on the utilization of Artificial Intelligence (AI) based schemes for structural health monitoring (SHM) and Non-Destructive Testing (NDT) for damage classification, detection, diagnosis, prediction, dynamic response analysis, and Reliability evaluation in composite, and steel Structures (such as aircraft, wind turbines, pipes, bridges and industrial machines) at National and Local Joint Engineering Research Center for Basalt Fiber Production and Application Technology, Southeast University, Nanjing, Jiangsu, China. This is the only national R&D platform awarded by the National Development and Reform Commission in this industry with more than 30 national authorized patents. The center's international and national awards indicators have reached international and local leading levels and filling many technical gaps in China.
He participated in several research activities, which achieved from NSFC and private sectors. He listed in Stanford List of World's Top 2% Scientists from 2020, until now. He serves on various technical committees in several international conferences and workshops, guest editor of special Issues in several international scientific journals and on the editorial board of several international scientific journals in the field of artificial intelligence, mechanical, materials, and civil engineering. He a peer reviewer of more than 140 international scientific journals. He is an author and co-author of more than 110 high impact journal papers, 60 scientific conference papers and 50 chapters, 10 academic and research books, patent, and delivered over 40 invited talks.
His research interests: Smart and Nanomaterials; Composite Structures; Structural Health Monitoring (SHM); Artificial Intelligence (AI); Non-Destructive Testing (NDT); Digital Twins Model of Structural Behavior, System Identification; Damage Detection: Vibration-Based Techniques; Fiber Optical Sensing Technique, Structural Control; Structural Resilience and Reliability, Hysteretic Systems, Micro/Nano Electro Mechanical Systems (MEMS/ NEMS), and Energy Harvesting Model for Self-Powered Sensors.
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We first started out as “The Paperback Exchange,” a chain of physical bookstores where we would part exchange your beloved books for new stories to transport you to faraway places. However, as shopping started to evolve to online shops and marketplaces, we bid our stores goodbye to become “PBShop.” This transition has only allowed us to blossom as we now ship thousands of titles to book lovers across the globe. We pride ourselves in being a community of local book lovers which allows our passion and devotion to shine in everything we do. In 2020 we not only celebrated our 20th birthday but our 1st birthday as being completely employee owned after becoming an E.O.T in September 2019. We are proud to be different and embrace standing apart on a book mountain by working from a virtual inventory which allows us to provide thousands of books that may be difficult to get for your bookshelf or your studies. Working with a number of different suppliers allows us to explore other avenues such as puzzles, sheet music and even stationery so we really do have something for everyone. Life is about being versatile in all realms of existence. If this is your first visit or you are a returning customer, we would like to welcome you to the PBShop family, for there is no friend as loyal as a book. We are a company who put our customers at the centre of everything we do as we understand the importance of reading because once you learn to read, you will forever be free. There are a whole lot of things in this world of ours that we are yet to explore, which is why we will forever inspire curious minds.…
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Selling books and other items
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RETENTION PERIOD:
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Our people
COLLECTION:
We will collect names, addresses, contact details, education and employment history, identity and other background checks (which may include appropriate criminal and financial checks and confirmation of the right to work in the UK), marital status and information on next of kin and dependents, financial information (such as bank details and NI numbers), date of birth, gender, a copy of your passport and driving licence, performance information and compensation history, recruitment information (including references), salary, benefits, pension and annual leave information, disciplinary and grievance information, photographs, information about your use of our information and communications systems and CCTV footage or other information obtained through electronic means.
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USE:
Personal data of our people will be used for HR administration and management, both in respect of the selection of people to work for us (including suitability, eligibility and/or fitness to work), and those who do work for us, to include learning and development, disciplinary and security (of people, offices and data) requirements, providing and liaising with benefits providers, business management and planning (including accounting and auditing), paying you and dealing with tax and NI deductions, assessing and deciding on salary reviews and compensation, conducting performance reviews and managing performance, dealing with legal disputes involving you or others, preventing fraud, monitoring your use of our information and communications systems, ensuring compliance with our policies, and equal opportunities monitoring.
We will only use your personal data when the law allows us to. Most commonly, we will use your personal data in the following circumstances:
In performance of a contract with you; and/or
compliance with a legal obligation; and/or
vital interests of the data subject; and/or
where it is necessary for our legitimate interests (or those of a third party) and your interests and fundamental rights do not override those interests.
We may also use your personal data in the following situations, which are likely to be less common:
where we need to protect your interests (or someone else’s interests);
where it is needed in the public interest or for official purposes.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
In respect of special categories of personal data, we may process this in the following circumstances:
in limited circumstances with your explicit written consent; and/or
where we need to carry out our legal obligations and in line with our policies; and/or
where it is needed in the public interest (such as for equal opportunities monitoring or in relation to our occupational pension scheme), and in line with our policies; and/or
where it is needed to assess your working capacity on health grounds, subject to appropriate confidentiality safeguards.
Less commonly, we may process this type of information where it is needed in relation to legal claims or where it is needed to protect your (or someone else’s) interests and you are not capable of giving your consent, or where you have already made the information public. We may also process such information about our people (or former people) in the course of our legitimate business activities with the appropriate safeguards.
The special categories of personal data may be used in the following ways:
in relation to leaves of absence, to comply with employment and other laws;
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in relation to your race, national or ethnic origin, religious, philosophical or moral beliefs, or your sexual life or sexual orientation, to ensure meaningful equal opportunity monitoring and reporting.
DISCLOSURE:
Personal data may be transferred to service providers who support the operation of our business (such as payroll service providers), to other third parties reasonably necessary in the conduct of our business (including insurers, professional advisors, regulators). These third parties may be acting as processor, or controller of personal data in their own right.
In respect of all disclosures of personal data, we will only share the personal information which is necessary for the particular purpose for which it is provided, or where we have another legitimate interest in doing so, and we will ensure that the personal data is appropriately protected.
RETENTION PERIOD:
We will keep personal data only for as long as is necessary to fulfil the purposes for which we collected it, including for the purposes of satisfying any legal, accounting or reporting requirements. We will normally keep personal data of applicants who we do not employ for six months after we receive it.
We will keep personal data of employees throughout your employment and normally for a minimum of six years after your employment ends.
Changes to your personal data
It is very important that the personal information that we hold about you is accurate and current. Please tell us if your personal information changes during your relationship with us.
Data Security
We have put in place measures to prevent your personal data from being accidentally lost, used or accessed in an unauthorised way, altered or disclosed. In addition, we limit access to your personal data to those of our people and other third parties who have a business need to know. They will only process your personal data on our instructions and where they have agreed to treat the information confidentially and to keep it secure. We have put in place procedures to deal with any suspected data security breach and will notify you and the ICO of a suspected breach where we are legally required to do so.
Where we store your personal data
We principally store data, both electronically and on file, at our office.
Personal data may be transferred outside of the EEA by processors acting on our behalf. For transfers to countries not considered adequate by the EC, we will ensure that personal data is adequately protected, as required by the GDPR. This would include by use of the Standard Contractual Clauses adopted by the EC to protect personal data.
Your rights
Under certain circumstances, you have the right by law to request:
access to your personal data. This enables you to ask to receive a copy of the personal data that we hold about you and to check that we are lawfully processing it.
correction of the personal data that we hold about you.
erasure of your personal data.
object to processing of your personal data where we are relying on our legitimate interest and there is something about your particular situation which makes you want to object to processing on this ground. You also have the right to object where we are processing your personal information for direct marketing purposes.
restriction of processing of your personal data.
transfer of your personal data to another party.
Links from our website
Our website may, from time to time, contain links to and from the websites of third parties that we permit to make such links. If you follow a link to any of these websites, please note that these websites have their own privacy policies and that we do not accept any responsibility or liability for these policies. We recommend that you check these policies before you submit any personal data to these websites.
CHANGES TO THIS PRIVACY POLICY
Any changes we may make to our privacy policy in the future will be posted on our website, so please ensure that you are viewing the correct version.
Please contact us if you have any questions, comments or requests regarding this Privacy Policy.
Last amended May 2021.