Structural Health Monitoring Based On Data Science Techniques

Author : Alexandre Cury
Publisher : Springer Nature
ISBN 13 : 3030817164
Total Pages : 490 pages
Book Rating : 4.69/5 ( download)

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Download or read book Structural Health Monitoring Based on Data Science Techniques written by Alexandre Cury and published by Springer Nature. This book was released on 2021-10-23 with total page 490 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mohammad Noori
Publisher : CRC Press
ISBN 13 : 9781032308371
Total Pages : 0 pages
Book Rating : 4.70/5 ( download)

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Download or read book Data Driven Methods for Civil Structural Health Monitoring and Resilience written by Mohammad Noori and published by CRC Press. This book was released on 2023-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Mohammad Noori
Publisher :
ISBN 13 : 9781032308388
Total Pages : 0 pages
Book Rating : 4.89/5 ( download)

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Download or read book Data Driven Methods for Civil Structural Health Monitoring and Resilience written by Mohammad Noori and published by . This book was released on 2024 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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"--

Author : Charles R. Farrar
Publisher : John Wiley & Sons
ISBN 13 : 1118443217
Total Pages : 735 pages
Book Rating : 4.17/5 ( download)

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Download or read book Structural Health Monitoring written by Charles R. Farrar and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by global leaders and pioneers in the field, this book is a must-have read for researchers, practicing engineers and university faculty working in SHM. Structural Health Monitoring: A Machine Learning Perspective is the first comprehensive book on the general problem of structural health monitoring. The authors, renowned experts in the field, consider structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm, first explaining the paradigm in general terms then explaining the process in detail with further insight provided via numerical and experimental studies of laboratory test specimens and in-situ structures. This paradigm provides a comprehensive framework for developing SHM solutions. Structural Health Monitoring: A Machine Learning Perspective makes extensive use of the authors’ detailed surveys of the technical literature, the experience they have gained from teaching numerous courses on this subject, and the results of performing numerous analytical and experimental structural health monitoring studies. Considers structural health monitoring in a new manner by casting the problem in the context of a machine learning/statistical pattern recognition paradigm Emphasises an integrated approach to the development of structural health monitoring solutions by coupling the measurement hardware portion of the problem directly with the data interrogation algorithms Benefits from extensive use of the authors’ detailed surveys of 800 papers in the technical literature and the experience they have gained from teaching numerous short courses on this subject.

Author : Mohammad Noori
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110791420
Total Pages : 274 pages
Book Rating : 4.26/5 ( download)

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Download or read book Data-Centric Structural Health Monitoring written by Mohammad Noori and published by Walter de Gruyter GmbH & Co KG. This book was released on 2023-09-04 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Wieslaw Ostachowicz
Publisher : Springer Science & Business Media
ISBN 13 : 3709113903
Total Pages : 433 pages
Book Rating : 4.05/5 ( download)

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Download or read book New Trends in Structural Health Monitoring written by Wieslaw Ostachowicz and published by Springer Science & Business Media. This book was released on 2013-01-18 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: A motivation for structural health monitoring. Structural health monitoring of aircraft structures. Vibration-based damage diagnosis and monitoring of external loads.Statistical time series methods for vibration based structural health monitoring. Fiber optic sensors. Damage localisation using elastic waves propagation methods experimental techniques. Application for wind turbine blades. Experts actively working in structural health monitoring and control techniques present the current research, areas of application and tendencies for the future of this technology, including various design issues involved. Examples using some of the latest hardware and software tools, experimental data from small scale laboratory demonstrators and measurements made on real structures illustrate the book. It will be a reference for professionals and students in the areas of engineering, applied natural sciences and engineering management.

Author : Piervincenzo Rizzo
Publisher : Springer Nature
ISBN 13 : 3031072588
Total Pages : 1129 pages
Book Rating : 4.81/5 ( download)

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Download or read book European Workshop on Structural Health Monitoring written by Piervincenzo Rizzo and published by Springer Nature. This book was released on 2022-06-15 with total page 1129 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume gathers the latest advances, innovations, and applications in the field of structural health monitoring (SHM) and more broadly in the fields of smart materials and intelligent systems, as presented by leading international researchers and engineers at the 10th European Workshop on Structural Health Monitoring (EWSHM), held in Palermo, Italy on July 4-7, 2022. The volume covers highly diverse topics, including signal processing, smart sensors, autonomous systems, remote sensing and support, UAV platforms for SHM, Internet of Things, Industry 4.0, and SHM for civil structures and infrastructures. The contributions, which are published after a rigorous international peer-review process, highlight numerous exciting ideas that will spur novel research directions and foster multidisciplinary collaboration among different specialists.

Author : Daniel Balageas
Publisher : John Wiley & Sons
ISBN 13 : 0470394404
Total Pages : 496 pages
Book Rating : 4.03/5 ( download)

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Download or read book Structural Health Monitoring written by Daniel Balageas and published by John Wiley & Sons. This book was released on 2010-01-05 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is organized around the various sensing techniques used to achieve structural health monitoring. Its main focus is on sensors, signal and data reduction methods and inverse techniques, which enable the identification of the physical parameters, affected by the presence of the damage, on which a diagnostic is established. Structural Health Monitoring is not oriented by the type of applications or linked to special classes of problems, but rather presents broader families of techniques: vibration and modal analysis; optical fibre sensing; acousto-ultrasonics, using piezoelectric transducers; and electric and electromagnetic techniques. Each chapter has been written by specialists in the subject area who possess a broad range of practical experience. The book will be accessible to students and those new to the field, but the exhaustive overview of present research and development, as well as the numerous references provided, also make it required reading for experienced researchers and engineers.

Author : Plevris, Vagelis
Publisher : IGI Global
ISBN 13 : 1668456443
Total Pages : 404 pages
Book Rating : 4.46/5 ( download)

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Download or read book Artificial Intelligence and Machine Learning Techniques for Civil Engineering written by Plevris, Vagelis and published by IGI Global. This book was released on 2023-06-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years, artificial intelligence (AI) has drawn significant attention with respect to its applications in several scientific fields, varying from big data handling to medical diagnosis. A tremendous transformation has taken place with the emerging application of AI. AI can provide a wide range of solutions to address many challenges in civil engineering. Artificial Intelligence and Machine Learning Techniques for Civil Engineering highlights the latest technologies and applications of AI in structural engineering, transportation engineering, geotechnical engineering, and more. It features a collection of innovative research on the methods and implementation of AI and machine learning in multiple facets of civil engineering. Covering topics such as damage inspection, safety risk management, and information modeling, this premier reference source is an essential resource for engineers, government officials, business leaders and executives, construction managers, students and faculty of higher education, librarians, researchers, and academicians.

Author : Srinivasan Gopalakrishnan
Publisher : Springer Science & Business Media
ISBN 13 : 0857292846
Total Pages : 506 pages
Book Rating : 4.41/5 ( download)

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Download or read book Computational Techniques for Structural Health Monitoring written by Srinivasan Gopalakrishnan and published by Springer Science & Business Media. This book was released on 2011-08-01 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: The increased level of activity on structural health monitoring (SHM) in various universities and research labs has resulted in the development of new methodologies for both identifying the existing damage in structures and predicting the onset of damage that may occur during service. Designers often have to consult a variety of textbooks, journal papers and reports, because many of these methodologies require advanced knowledge of mechanics, dynamics, wave propagation, and material science. Computational Techniques for Structural Health Monitoring gives a one-volume, in-depth introduction to the different computational methodologies available for rapid detection of flaws in structures. Techniques, algorithms and results are presented in a way that allows their direct application. A number of case studies are included to highlight further the practical aspects of the selected topics. Computational Techniques for Structural Health Monitoring also provides the reader with numerical simulation tools that are essential to the development of novel algorithms for the interpretation of experimental measurements, and for the identification of damage and its characterization. Upon reading Computational Techniques for Structural Health Monitoring, graduate students will be able to begin research-level work in the area of structural health monitoring. The level of detail in the description of formulation and implementation also allows engineers to apply the concepts directly in their research.