Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms

Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms
Author :
Publisher : CRC Press
Total Pages : 245
Release :
ISBN-10 : 9781040150061
ISBN-13 : 1040150063
Rating : 4/5 (61 Downloads)

Book Synopsis Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms by : Chunwei Zhang

Download or read book Structural Health Monitoring Using Emerging Signal Processing Approaches with Artificial Intelligence Algorithms written by Chunwei Zhang and published by CRC Press. This book was released on 2024-11-06 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural health monitoring is a powerful tool across civil, mechanical, automotive, and aerospace engineering, allowing the assessment and measurement of physical parameters in real time. Processing changes in the vibration signals of a dynamic system can detect, locate, and quantify any damage existing in the system. This book presents a comprehensive state‐of‐the‐art review of the applications in time, frequency, and time‐frequency domains of signal‐processing techniques for damage perception, localization, and quantification in various structural systems. Experimental investigations are illustrated, including the development of a set of damage indices based on the signal features extracted through various signal‐processing techniques to evaluate sensitivity in damage identification. Chapters summarize the application of the Hilbert–Huang transform based on three decomposition methods such as empirical mode decomposition, ensemble empirical mode decomposition, and complete ensemble empirical mode decomposition with adaptive noise. Also, the chapters assess the performance and sensitivity of different approaches, including multiple signal classification and empirical wavelet transform techniques in damage detection and quantification. Artificial neural networks for automated damage identification are introduced. This book suits students, engineers, and researchers who are investigating structural health monitoring, signal processing, and damage identification of structures.

Emerging Design Solutions in Structural Health Monitoring Systems

Emerging Design Solutions in Structural Health Monitoring Systems
Author :
Publisher : IGI Global
Total Pages : 376
Release :
ISBN-10 : 9781466684911
ISBN-13 : 1466684917
Rating : 4/5 (11 Downloads)

Book Synopsis Emerging Design Solutions in Structural Health Monitoring Systems by : Diego Alexander Tibaduiza Burgos

Download or read book Emerging Design Solutions in Structural Health Monitoring Systems written by Diego Alexander Tibaduiza Burgos and published by IGI Global. This book was released on 2015-10-07 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book seeks to advance cutting-edge research in the field, with a special focus on cross-disciplinary work involving recent advances in IT, enabling structural-health experts to wield groundbreaking new models of artificial intelligence as a diagnostic tool capable of identifying future problems before they even appear"--Provided by publisher.

Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures

Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures
Author :
Publisher : MDPI
Total Pages : 288
Release :
ISBN-10 : 9783036507545
ISBN-13 : 303650754X
Rating : 4/5 (45 Downloads)

Book Synopsis Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures by : Raffaele Zinno

Download or read book Innovative Methods and Materials in Structural Health Monitoring of Civil Infrastructures written by Raffaele Zinno and published by MDPI. This book was released on 2021-09-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the past, when elements in structures were composed of perishable materials, such as wood, the maintenance of houses, bridges, etc., was considered of vital importance for their safe use and to preserve their efficiency. With the advent of materials such as reinforced concrete and steel, given their relatively long useful life, periodic and constant maintenance has often been considered a secondary concern. When it was realized that even for structures fabricated with these materials that the useful life has an end and that it was being approached, planning maintenance became an important and non-negligible aspect. Thus, the concept of structural health monitoring (SHM) was introduced, designed, and implemented as a multidisciplinary method. Computational mechanics, static and dynamic analysis of structures, electronics, sensors, and, recently, the Internet of Things (IoT) and artificial intelligence (AI) are required, but it is also important to consider new materials, especially those with intrinsic self-diagnosis characteristics, and to use measurement and survey methods typical of modern geomatics, such as satellite surveys and highly sophisticated laser tools.

Structural Health Monitoring Based on Data Science Techniques

Structural Health Monitoring Based on Data Science Techniques
Author :
Publisher : Springer Nature
Total Pages : 490
Release :
ISBN-10 : 9783030817169
ISBN-13 : 3030817164
Rating : 4/5 (69 Downloads)

Book Synopsis Structural Health Monitoring Based on Data Science Techniques by : Alexandre Cury

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.

Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems

Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems
Author :
Publisher : CRC Press
Total Pages : 4438
Release :
ISBN-10 : 9781000824360
ISBN-13 : 1000824365
Rating : 4/5 (60 Downloads)

Book Synopsis Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems by : Alphose Zingoni

Download or read book Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems written by Alphose Zingoni and published by CRC Press. This book was released on 2022-09-02 with total page 4438 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current Perspectives and New Directions in Mechanics, Modelling and Design of Structural Systems comprises 330 papers that were presented at the Eighth International Conference on Structural Engineering, Mechanics and Computation (SEMC 2022, Cape Town, South Africa, 5-7 September 2022). The topics featured may be clustered into six broad categories that span the themes of mechanics, modelling and engineering design: (i) mechanics of materials (elasticity, plasticity, porous media, fracture, fatigue, damage, delamination, viscosity, creep, shrinkage, etc); (ii) mechanics of structures (dynamics, vibration, seismic response, soil-structure interaction, fluid-structure interaction, response to blast and impact, response to fire, structural stability, buckling, collapse behaviour); (iii) numerical modelling and experimental testing (numerical methods, simulation techniques, multi-scale modelling, computational modelling, laboratory testing, field testing, experimental measurements); (iv) design in traditional engineering materials (steel, concrete, steel-concrete composite, aluminium, masonry, timber); (v) innovative concepts, sustainable engineering and special structures (nanostructures, adaptive structures, smart structures, composite structures, glass structures, bio-inspired structures, shells, membranes, space structures, lightweight structures, etc); (vi) the engineering process and life-cycle considerations (conceptualisation, planning, analysis, design, optimization, construction, assembly, manufacture, maintenance, monitoring, assessment, repair, strengthening, retrofitting, decommissioning). Two versions of the papers are available: full papers of length 6 pages are included in the e-book, while short papers of length 2 pages, intended to be concise but self-contained summaries of the full papers, are in the printed book. This work will be of interest to civil, structural, mechanical, marine and aerospace engineers, as well as planners and architects.

Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Artificial Intelligence and Machine Learning Techniques for Civil Engineering
Author :
Publisher : IGI Global
Total Pages : 404
Release :
ISBN-10 : 9781668456446
ISBN-13 : 1668456443
Rating : 4/5 (46 Downloads)

Book Synopsis Artificial Intelligence and Machine Learning Techniques for Civil Engineering by : Plevris, Vagelis

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.

Structural Health Monitoring with Piezoelectric Wafer Active Sensors

Structural Health Monitoring with Piezoelectric Wafer Active Sensors
Author :
Publisher : Academic Press
Total Pages : 1025
Release :
ISBN-10 : 9780124201026
ISBN-13 : 0124201024
Rating : 4/5 (26 Downloads)

Book Synopsis Structural Health Monitoring with Piezoelectric Wafer Active Sensors by : Victor Giurgiutiu

Download or read book Structural Health Monitoring with Piezoelectric Wafer Active Sensors written by Victor Giurgiutiu and published by Academic Press. This book was released on 2014-06-20 with total page 1025 pages. Available in PDF, EPUB and Kindle. Book excerpt: Structural Health Monitoring with Piezoelectric Wafer Active Sensors, Second Edition provides an authoritative theoretical and experimental guide to this fast-paced, interdisciplinary area with exciting applications across a range of industries. The book begins with a detailed yet digestible consolidation of the fundamental theory relating to structural health monitoring (SHM). Coverage of fracture and failure basics, relevant piezoelectric material properties, vibration modes in different structures, and different wave types provide all the background needed to understand SHM and apply it to real-world structural challenges. Moving from theory to experimental practice, the book then provides the most comprehensive coverage available on using piezoelectric wafer active sensors (PWAS) to detect and quantify damage in structures. Updates to this edition include circular and straight-crested Lamb waves from first principle, and the interaction between PWAS and Lamb waves in 1-D and 2-D geometries. Effective shear stress is described, and tuning expressions between PWAS and Lamb waves has been extended to cover axisymmetric geometries with a complete Hankel-transform-based derivation. New chapters have been added including hands-on SHM case studies of PWAS stress, strain, vibration, and wave sensing applications, along with new sections covering essential aspects of vibration and wave propagation in axisymmetric geometries. - Comprehensive coverage of underlying theory such as piezoelectricity, vibration, and wave propagation alongside experimental techniques - Includes step-by-step guidance on the use of piezoelectric wafer active sensors (PWAS) to detect and quantify damage in structures, including clear information on how to interpret sensor signal patterns - Updates to this edition include a new chapter on composites and new sections on advances in vibration and wave theory, bringing this established reference in line with the cutting edge in this emerging area