An Ai For Structural Integrity Monitoring
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An Ai For Structural Integrity Monitoring
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Author : Kossi Ntiafalali Aziagba
language : en
Publisher: Kossi Ntiafalali Aziagba
Release Date : 2024-07-14
An Ai For Structural Integrity Monitoring written by Kossi Ntiafalali Aziagba and has been published by Kossi Ntiafalali Aziagba this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-14 with Technology & Engineering categories.
This AI system can be applied in various real-world scenarios, such as: - Bridge Monitoring: Continuous monitoring of bridges to detect early signs of wear and prevent collapses. - Building Inspections: Routine assessments of high-rise buildings to identify structural weaknesses. In the future, this AI could be explored and used by the entire population to identify construction anomalies and structural pathologies. Suppose you are in your room and suddenly notice a large crack in the main pillar of your roof. When this AI is ready, you will simply need to take 2 or 3 photos of the concerned area from different angles. The device will immediately analyze the damage, compare it with its data, describe the situation, and provide you with recommendations. The system could also automatically alert engineers and the government based on the severity of the case. Additionally, the system will have an integrated thermal camera to analyze thermal factors, determining the depth of the damage and the affected area.
Structural Health Monitoring Based On Data Science Techniques
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Author : Alexandre Cury
language : en
Publisher: Springer Nature
Release Date : 2021-10-23
Structural Health Monitoring Based On Data Science Techniques written by Alexandre Cury and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-23 with Computers categories.
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 Integrity Monitoring
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Author : R.A. Collacott
language : en
Publisher: Springer Science & Business Media
Release Date : 1985-11-30
Structural Integrity Monitoring written by R.A. Collacott and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985-11-30 with Technology & Engineering categories.
This book should be of interest to students and practitioners of materials science, production engineering and engineering design.
Damage Detection And Structural Health Monitoring Of Concrete And Masonry Structures
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Author : Hashem Jahangir
language : en
Publisher: Springer Nature
Release Date : 2025-03-21
Damage Detection And Structural Health Monitoring Of Concrete And Masonry Structures written by Hashem Jahangir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-21 with Technology & Engineering categories.
This book offers the use of artificial intelligence, image processing, model analysis, laser scanners, shearography, drones, contourlet, wavelet, signal processing techniques and other SHM techniques to detect the damages in the concrete as well as masonry structures. Corrosion is one major factor that causes reinforced concrete structures to deteriorate over time. However, the degrading process is not evenly distributed throughout the structure. The damage can be detected timely and the structure's degradation model can be updated with the help of proper monitoring and inspection techniques. The damages in the masonry structures may happen due to moisture ingress, cracking, mortar failure, settlement and spalling, etc. Structure health monitoring (SHM) may assist in understanding the structures deterioration mechanisms and reducing the ongoing deterioration in a scientific manner. A complete detail of both the traditional and cutting-edge approaches used in the SHM process is described in this book. The latest non-destructive techniques and semi-destructive techniques shall also be discussed in this book. This book aids academics and industry professionals with recent developments in SHM techniques. Additionally, it encourages researchers in coming up with creation of newer applications in structural engineering.
Structural Health Monitoring Damage Detection Systems For Aerospace
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Author : Markus G. R. Sause
language : en
Publisher: Springer Nature
Release Date : 2021-09-22
Structural Health Monitoring Damage Detection Systems For Aerospace written by Markus G. R. Sause and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-22 with Technology & Engineering categories.
This open access book presents established methods of structural health monitoring (SHM) and discusses their technological merit in the current aerospace environment. While the aerospace industry aims for weight reduction to improve fuel efficiency, reduce environmental impact, and to decrease maintenance time and operating costs, aircraft structures are often designed and built heavier than required in order to accommodate unpredictable failure. A way to overcome this approach is the use of SHM systems to detect the presence of defects. This book covers all major contemporary aerospace-relevant SHM methods, from the basics of each method to the various defect types that SHM is required to detect to discussion of signal processing developments alongside considerations of aerospace safety requirements. It will be of interest to professionals in industry and academic researchers alike, as well as engineering students. This article/publication is based upon work from COST Action CA18203 (ODIN - http://odin-cost.com/), supported by COST (European Cooperation in Science and Technology). COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.
Artificial Intelligence Geographic Information Systems And Multi Criteria Decision Making For Improving Sustainable Development
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Author : Sujoy Kumar Jana
language : en
Publisher: CRC Press
Release Date : 2025-08-12
Artificial Intelligence Geographic Information Systems And Multi Criteria Decision Making For Improving Sustainable Development written by Sujoy Kumar Jana and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
The Asia-Pacific region, home to some of the world’s fastest-growing economies, faces a range of complex challenges, including environmental degradation, the increasing frequency of natural hazards, and rapid urbanization. Addressing these issues, which many countries across the globe are facing, requires innovative, interdisciplinary approaches to promote sustainable development and enhance resilience. Geographic information systems (GIS), when combined with multi-criteria decision-making (MCDM) techniques and advanced technologies such as artificial intelligence (AI), offer powerful tools to tackle these multifaceted problems. AIGIS integrates AI with GIS to derive insights from geospatial data. The fusion of AI techniques with GIS enhances data analysis, visualization, and decision-making. Artificial Intelligence, Geographic Information Systems, and Multi-Criteria Decision-Making for Improving Sustainable Development explore how these integrated tools can support decision-making processes aimed at advancing sustainable development. Drawing on research and insights from diverse disciplines, the book looks at how GIS, MCDM, and AI can provide solutions for disaster risk reduction, environmental monitoring, urban planning, and natural resource management. Through diverse case studies and theoretical explorations, this book highlights the value of integrated geospatial tools in facilitating informed decision-making and fostering resilient societies in the face of evolving challenges. It covers a wide range of topics, including the following: Site-soil-geology assessments in Fiji Flood risk analysis in Hong Kong Air quality management in Delhi during the COVID-19 pandemic Vegetation health monitoring in Thailand Bringing together the work of academicians, practitioners, and decision-makers, the book reflects the growing recognition towards effective and sustainable solutions to complex problems, which require a multidimensional approach, integrating scientific, economic, and social considerations. By providing the latest research and practical applications of MCDM, AI, and GIS, it contributes to ongoing efforts to build a more sustainable and resilient future for the Asia-Pacific region, as well as for the world.
Artificial Intelligence Applications For Sustainable Construction
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Author : Moncef L. Nehdi
language : en
Publisher: Elsevier
Release Date : 2024-02-13
Artificial Intelligence Applications For Sustainable Construction written by Moncef L. Nehdi and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-13 with Technology & Engineering categories.
Artificial Intelligence Applications for Sustainable Construction presents the latest developments in AI and ML technologies applied to real-world civil engineering concerns. With an increasing amount of attention on the environmental impact of every industry, more construction projects are going to require sustainable construction practices. This volume offers research evidence, simulation results, and case studies to support this change. Sustainable construction, in fact, not only uses renewable and recyclable materials when building new structures or repairing deteriorating ones, but also adopts all possible methods to reduce energy consumption and waste.The concisely written but comprehensive, practical knowledge put forward by this international group of highly specialized editors and contributors will prove to be beneficial to engineering students and professionals alike. - Presents convincing "success stories that encourage application of AI-powered tools to civil engineering - Provides a wealth of valuable technical information to address and resolve many challenging construction problems - Illustrates the most recent shifts in thinking and practice for sustainable construction
Structural Health Monitoring Management Shm In Aerospace Structures
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Author : Fuh-Gwo Yuan
language : en
Publisher: Elsevier
Release Date : 2024-04-30
Structural Health Monitoring Management Shm In Aerospace Structures written by Fuh-Gwo Yuan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-30 with Technology & Engineering categories.
Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures provides readers with the spectacular progress that has taken place over the last twenty years with respect to the area of Structural Health Monitoring (SHM) Management. The SHM field encompasses transdisciplinary areas, including smart materials, sensors and actuators, damage diagnosis and prognosis, signal and image processing algorithms, wireless intelligent sensing, data fusion, and energy harvesting. This book focuses on how SHM techniques can be applied to aircraft, mechanical and civil engineering structures with particular emphasis on composite materials.Structural Health Monitoring (SHM) Management in Aerospace and Civil Structures will be a valuable reference resource for R&D managers, materials scientists and engineers working in the aerospace sector as well as for researchers and system designers working in industry, academia and government research agencies developing new systems for the SHM of aerospace, mechanical and civil engineering structures. - Presents new developments in smart materials for sensing and actuation - Discusses new developments in mechanical metamaterials - Presents the latest on signal/imaging processing for damage diagnosis - Explores damage prognosis and integrated vehicle health management (IVHM) - Covers new developments in machine learning and artificial Intelligence
New Advances In Soft Computing In Civil Engineering
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Author : Gebrail Bekdaş
language : en
Publisher: Springer Nature
Release Date : 2024-08-07
New Advances In Soft Computing In Civil Engineering written by Gebrail Bekdaş and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-07 with Technology & Engineering categories.
Soft computing applications plays a crucial role in civil engineering applications, with engineers striving to create outstanding designs that prioritize safety, aesthetics, cost-efficiency, and environmental considerations. Advanced optimization techniques are especially valuable for complex systems including multi-constraint problems, multi-objective problems and control problems needing iterative processes in solving differential equations. Throughout history, people have used their creativity to enhance designs in everyday tasks, and this is where metaheuristics come into play, drawing inspiration from nature to develop novel algorithms. These artificial intelligence-based algorithms possess distinctive attributes, and leveraging various features from different algorithms can enhance the effectiveness of optimization, improving precision, computational efficiency, and convergence. This book serves as a timely resource, summarizing the latest advancements in civil engineering optimization, encompassing both metaheuristic approaches and emerging trends that integrates artificial intelligence and machine learning techniques to predict optimal solutions, streamlining lengthy optimization processes. The book's chapters cover a wide range of civil engineering applications, with the primary goal being to introduce fundamental concepts and advanced adaptations. This comprehensive resource is designed to provide undergraduates and graduate engineering students with a solid understanding of materials and content, making it a valuable reference for university courses in various civil engineering disciplines. The book will be edited, and the editors will contribute to most of the chapters. Depending on the availability of high-quality papers, the editors may increase their contributions by sharing recent research projects and postgraduate students' theses.
Optical Fiber Sensors And Ai
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Author : Vanita Bhardwaj
language : en
Publisher: Springer Nature
Release Date : 2025-07-02
Optical Fiber Sensors And Ai written by Vanita Bhardwaj and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-02 with Science categories.
This book highlights the exciting developments in optical fiber sensors and how artificial intelligence (AI) is boosting their performance and applications. It starts with an easy-to-understand introduction to the basics of optical fiber sensors and their many uses. Then, it moves on to the latest technological advancements, showing how AI is making these sensors smarter and more efficient. The book contains chapters demonstrating how machine learning contributes to real-time data analysis and how deep learning enhances sensor systems. There is also a focus on designing better sensor networks with the help of AI. The book explains how combining AI with the Internet of Things (IoT) and optical fiber sensors can create smart infrastructure solutions. Real-world case studies illustrate how AI-enhanced fiber-optic sensors are benefiting fields like healthcare and environmental monitoring. The book wraps up with a look at future trends and challenges in the world of AI-powered optical fiber sensing. This book is perfect for researchers, engineers, and anyone interested in the powerful combination of AI and optical fiber technology. It provides valuable insights into how these technologies can work together to create innovative and practical solutions.