Data driven methods for civil structural health monitoring and resilience latest developments and applications / edited by Mohammad Noori, Carlo Rainieri, Marco Domaneschi, and Vasilis Sarhosis.

Other author Noori, Mohammad.
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton, FL : CRC Press, 2024.
Descriptionpages cm.
Supplemental ContentFull text available from eBooks on EBSCOhost
Subjects

SeriesResilience and sustainability in civil, mechanical, aerospace and manufacturing engineering systems
Incomplete content Chapter 1. Structural resilience through SHM : a critical review / Marco Domaneschi, Raffaele Cucuzza -- Chapter 2. Differential evolution algorithm : an analysis of more than two decades of application in structural damage detection (2001-2022) / Parsa Ghannadi, Seyed Sina Kourehli, Andy Nguyen -- Chapter 3. Fatigue assessment and SHM of steel truss bridges / Buitrago M., Bertolesi E., Calderon P.A., Adam J.M. --
Abstract "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 able to provide intelligible information about their state of health and performance on a continuous, relatively real-time basis"-- Provided by publisher.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2023017259
ISBN9781032308371 (hbk)
ISBN9781032308388 (pbk)
ISBN(ebk)

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