Proceedings of the 13th International Conference on Damage Assessment of Structures

Proceedings of the 13th International Conference on Damage Assessment of Structures
Author: Magd Abdel Wahab
Publisher: Springer
Total Pages: 957
Release: 2019-07-04
Genre: Science
ISBN: 9811383316

This volume contains the proceedings of the 13th International Conference on Damage Assessment of Structures DAMAS 2019, 9-10 July 2019, Porto, Portugal. It presents the expertise of scientists and engineers in academia and industry in the field of damage assessment, structural health monitoring and non-destructive evaluation. The proceedings covers all research topics relevant to damage assessment of engineering structures and systems including numerical simulations, signal processing of sensor measurements and theoretical techniques as well as experimental case studies.

European Workshop on Structural Health Monitoring

European Workshop on Structural Health Monitoring
Author: Piervincenzo Rizzo
Publisher: Springer Nature
Total Pages: 969
Release: 2021-01-10
Genre: Technology & Engineering
ISBN: 3030645940

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. 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. The contents of this volume reflect the outcomes of the activities of EWSHM (European Workshop on Structural Health Monitoring) in 2020.

Nondestructive Testing and Evaluation of Fiber-Reinforced Composite Structures

Nondestructive Testing and Evaluation of Fiber-Reinforced Composite Structures
Author: Shuncong Zhong
Publisher: Springer Nature
Total Pages: 431
Release: 2022-04-01
Genre: Technology & Engineering
ISBN: 9811908486

This book presents a detailed description of the most common nondestructive testing(NDT) techniques used for the testing and evaluation fiber-reinforced composite structures, during manufacturing and/or in service stages. In order to facilitate the understanding and the utility of the different NDT techniques presented, the book first provides some information regarding the defects and material degradation mechanisms observed in fiber-reinforced composite structures as well as their general description and most probable causes. It is written based on the extensive scientific research and engineering backgrounds of the authors in the NDT and structural health monitoring (SHM) of structural systems from various areas including electrical, mechanical, materials, civil and biomedical engineering. Pursuing a rigorous approach, the book establishes a fundamental framework for the NDT of fiber-reinforced composite structures, while emphasizing on the importance of technique’s spatial resolution, integrated systems analysis and the significance of the influence stemming from the applicability of the NDT and the physical parameters of the test structures in the selection and utilization of adequate NDT techniques. The book is intended for students who are interested in the NDT of fiber-reinforced composite structures, researchers investigating the applicability of different NDT techniques to the inspections of structural systems, and NDT researchers and engineers working on the optimization of NDT systems for specific applications involving the use of fiber-reinforced composite structures.

Data-Centric Structural Health Monitoring

Data-Centric Structural Health Monitoring
Author: Mohammad Noori
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 359
Release: 2023-09-04
Genre: Technology & Engineering
ISBN: 311079151X

This book introduces the latest developments in data-centric engineering, including different artificial intelligence and machine learning schemes, as well as their wide range of applications for long-term monitoring and health assessment of mechanical, aerospace and complex infrastructure systems. Leading scholars in the field show how these emerging techniques assure the longevity of engineered systems and predict their life cycles.

Data Science in Engineering, Volume 9

Data Science in Engineering, Volume 9
Author: Ramin Madarshahian
Publisher: Springer Nature
Total Pages: 158
Release: 2022-07-04
Genre: Computers
ISBN: 3031041224

Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on: Novel Data-driven Analysis Methods Deep Learning Gaussian Process Analysis Real-time Video-based Analysis Applications to Nonlinear Dynamics and Damage Detection High-rate Structural Monitoring and Prognostics

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: Chunwei Zhang
Publisher: CRC Press
Total Pages: 245
Release: 2024-11-06
Genre: Technology & Engineering
ISBN: 1040150063

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.

Proceedings of IncoME-V & CEPE Net-2020

Proceedings of IncoME-V & CEPE Net-2020
Author: Dong Zhen
Publisher: Springer Nature
Total Pages: 949
Release: 2021-05-15
Genre: Technology & Engineering
ISBN: 3030757935

This volume gathers the latest advances, innovations and applications in the field of condition monitoring, plant maintenance and reliability, as presented by leading international researchers and engineers at the 5th International Conference on Maintenance Engineering and the 2020 Annual Conference of the Centre for Efficiency and Performance Engineering Network (IncoME-V & CEPE Net-2020), held in Zhuhai, China on October 23-25, 2020. Topics include vibro-acoustics monitoring, condition-based maintenance, sensing and instrumentation, machine health monitoring, maintenance auditing and organization, non-destructive testing, reliability, asset management, condition monitoring, life-cycle cost optimisation, prognostics and health management, maintenance performance measurement, manufacturing process monitoring, and robot-based monitoring and diagnostics. The contributions, which were selected through a rigorous international peer-review process, share exciting ideas that will spur novel research directions and foster new multidisciplinary collaborations.

Civil Structural Health Monitoring

Civil Structural Health Monitoring
Author: Carlo Rainieri
Publisher: Springer Nature
Total Pages: 1015
Release: 2021-08-24
Genre: Technology & Engineering
ISBN: 303074258X

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.

Smart Civil Structures

Smart Civil Structures
Author: You-Lin Xu
Publisher: CRC Press
Total Pages: 548
Release: 2017-04-11
Genre: Technology & Engineering
ISBN: 1315351919

A smart civil structure integrates smart materials, sensors, actuators, signal processors, communication networks, power sources, diagonal strategies, control strategies, repair strategies, and life-cycle management strategies. It should function optimally and safely in its environment and maintain structural integrity during strong winds, severe earthquakes, and other extreme events. This book extends from the fundamentals to the state-of-the-art. It covers the elements of smart civil structures, their integration, and their functions. The elements consist of smart materials, sensors, control devices, signal processors, and communication networks. Integration refers to multi-scale modelling and model updating, multi-type sensor placement, control theory, and collective placement of control devices and sensors. And the functions include structural health monitoring, structural vibration control, structural self-repairing, and structural energy harvesting, with emphasis on their synthesis to form truly smart civil structures. It suits civil engineering students, professionals, and researchers with its blend of principles and practice.