Data Driven Methods for Civil Structural Health Monitoring and Resilience

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Release : 2023-10-26
Genre : Technology & Engineering
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Book Rating : 589/5 ( reviews)

Data Driven Methods for Civil Structural Health Monitoring and Resilience - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Driven Methods for Civil Structural Health Monitoring and Resilience write by Mohammad Noori. This book was released on 2023-10-26. Data Driven Methods for Civil Structural Health Monitoring and Resilience available in PDF, EPUB and Kindle. 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.

Data Driven Methods for Civil Structural Health Monitoring and Resilience

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Author :
Release : 2023-10
Genre :
Kind :
Book Rating : 371/5 ( reviews)

Data Driven Methods for Civil Structural Health Monitoring and Resilience - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Data Driven Methods for Civil Structural Health Monitoring and Resilience write by Mohammad Noori. This book was released on 2023-10. Data Driven Methods for Civil Structural Health Monitoring and Resilience available in PDF, EPUB and Kindle. 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.

Structural Health Monitoring Based on Data Science Techniques

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Release : 2021-10-23
Genre : Computers
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Book Rating : 164/5 ( reviews)

Structural Health Monitoring Based on Data Science Techniques - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring Based on Data Science Techniques write by Alexandre Cury. This book was released on 2021-10-23. Structural Health Monitoring Based on Data Science Techniques available in PDF, EPUB and Kindle. The modern structural health monitoring (SHM) paradigm of transforming in situ, real-time data acquisition into actionable decisions regarding structural performance, health state, maintenance, or life cycle assessment has been accelerated by the rapid growth of “big data” availability and advanced data science. Such data availability coupled with a wide variety of machine learning and data analytics techniques have led to rapid advancement of how SHM is executed, enabling increased transformation from research to practice. This book intends to present a representative collection of such data science advancements used for SHM applications, providing an important contribution for civil engineers, researchers, and practitioners around the world.

Structural Health Monitoring of Large Civil Engineering Structures

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Release : 2018-01-29
Genre : Technology & Engineering
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Book Rating : 624/5 ( reviews)

Structural Health Monitoring of Large Civil Engineering Structures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Structural Health Monitoring of Large Civil Engineering Structures write by Hua-Peng Chen. This book was released on 2018-01-29. Structural Health Monitoring of Large Civil Engineering Structures available in PDF, EPUB and Kindle. A critical review of key developments and latest advances in Structural Health Monitoring technologies applied to civil engineering structures, covering all aspects required for practical application Structural Health Monitoring (SHM) provides the facilities for in-service monitoring of structural performance and damage assessment, and is a key element of condition based maintenance and damage prognosis. This comprehensive book brings readers up to date on the most important changes and advancements in the structural health monitoring technologies applied to civil engineering structures. It covers all aspects required for such monitoring in the field, including sensors and networks, data acquisition and processing, damage detection techniques and damage prognostics techniques. The book also includes a number of case studies showing how the techniques can be applied in the development of sustainable and resilient civil infrastructure systems. Structural Health Monitoring of Large Civil Engineering Structures offers in-depth chapter coverage of: Sensors and Sensing Technology for Structural Monitoring; Data Acquisition, Transmission, and Management; Structural Damage Identification Techniques; Modal Analysis of Civil Engineering Structures; Finite Element Model Updating; Vibration Based Damage Identification Methods; Model Based Damage Assessment Methods; Monitoring Based Reliability Analysis and Damage Prognosis; and Applications of SHM Strategies to Large Civil Structures. Presents state-of-the-art SHM technologies allowing asset managers to evaluate structural performance and make rational decisions Covers all aspects required for the practical application of SHM Includes case studies that show how the techniques can be applied in practice Structural Health Monitoring of Large Civil Engineering Structures is an ideal book for practicing civil engineers, academics and postgraduate students studying civil and structural engineering.

Civil Structural Health Monitoring

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Release : 2021-08-24
Genre : Technology & Engineering
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Book Rating : 58X/5 ( reviews)

Civil Structural Health Monitoring - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Civil Structural Health Monitoring write by Carlo Rainieri. This book was released on 2021-08-24. Civil Structural Health Monitoring available in PDF, EPUB and Kindle. This volume gathers the latest advances and innovations in the field of structural health monitoring, as presented at the 8th Civil Structural Health Monitoring Workshop (CSHM-8), held on March 31–April 2, 2021. It discusses emerging challenges in civil SHM and more broadly in the fields of smart materials and intelligent systems for civil engineering applications. The contributions cover a diverse range of topics, including applications of SHM to civil structures and infrastructures, innovative sensing solutions for SHM, data-driven damage detection techniques, nonlinear systems and analysis techniques, influence of environmental and operational conditions, aging structures and infrastructures in hazardous environments, and SHM in earthquake prone regions. Selected by means of a rigorous peer-review process, they will spur novel research directions and foster future multidisciplinary collaborations.