Leveraging Artificial Intelligence In Engineering Management And Safety Of Infrastructure
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Leveraging Artificial Intelligence In Engineering Management And Safety Of Infrastructure
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Author : M.Z. Naser
language : en
Publisher: CRC Press
Release Date : 2022-11-17
Leveraging Artificial Intelligence In Engineering Management And Safety Of Infrastructure written by M.Z. Naser and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-17 with Computers categories.
The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunities and challenges. While traditional methods fall short of adequately accounting for such complexity, artificial intelligence (AI) presents novel and out-of-the-box solutions that effectively tackle the growing demands of our infrastructure. The convergence between AI and civil engineering is an emerging frontier with tremendous potential. The book is likely to provide a boost to the state of infrastructure engineering by fostering a new look at civil engineering that capitalizes on AI as its main driver. It highlights the ongoing push to adopt and leverage AI to realize contemporary, intelligent, safe, and resilient infrastructure. The book comprises interdisciplinary and novel works from across the globe. It presents findings from innovative efforts supplemented with physical tests, numerical simulations, and case studies – all of which can be used as benchmarks to carry out future experiments and/or facilitate the development of future AI models in structural engineering, traffic engineering, construction engineering, and construction materials. The book will serve as a guide for a wide range of audiences, including senior undergraduate and graduate students, professionals, and government officials of civil, traffic, and computer engineering backgrounds, as well as for those engaged in urban planning and human sciences.
Interpretable Machine Learning For The Analysis Design Assessment And Informed Decision Making For Civil Infrastructure
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Author : M. Z. Naser
language : en
Publisher: Elsevier
Release Date : 2023-11-01
Interpretable Machine Learning For The Analysis Design Assessment And Informed Decision Making For Civil Infrastructure written by M. Z. Naser and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-01 with Technology & Engineering categories.
The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wildfires and earthquakes). Despite recent advancements in various civil engineering disciplines, specific to the analysis, design and assessment of structures, it is unfortunate that it is common nowadays to witness large scale damage in buildings, bridges and other infrastructure. The analysis, design and assessment of infrastructure comprises of a multitude of dimensions spanning a highly complex paradigm across material sciences, structural engineering, construction and planning among others. While traditional methods fall short of adequately accounting for such complexity, fortunately, computational intelligence presents novel solutions that can effectively tackle growing demands of intense extreme events and modern designs of infrastructure – especially in this era where infrastructure is reaching new heights and serving larger populations with high social awareness and expectations. Computational Intelligence for Analysis, Design and Assessment of Civil Infrastructure highlights the growing trend of fostering the use of CI to realize contemporary, smart and safe infrastructure. This is an emerging area that has not fully matured yet and hence the book will draw considerable interest and attention. In a sense, the book presents results of innovative efforts supplemented with case studies from leading researchers that can be used as benchmarks to carryout future experiments and/or facilitate development of future experiments and advanced numerical models. The book is written with the intention to serve as a guide for a wide audience including senior postgraduate students, academic and industrial researchers, materials scientists and practicing engineers working in civil, structural and mechanical engineering. Focuses on civil engineering applications for extreme events Explains the fundamentals of AI/ML and how they can be applied in civil engineering Features case study examples, design codes, and problems and solutions that would work for extreme events
Smart Sustainable Infrastructure Building A Greener Tomorrow
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Author : Nemkumar Banthia
language : en
Publisher: Springer Nature
Release Date :
Smart Sustainable Infrastructure Building A Greener Tomorrow written by Nemkumar Banthia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Digital Twin Technologies In Transportation Infrastructure Management
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Author : Wenjuan Wang
language : en
Publisher: Springer Nature
Release Date : 2024-01-06
Digital Twin Technologies In Transportation Infrastructure Management written by Wenjuan Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-06 with Computers categories.
This book reveals the power of digital twin technologies in terms of optimizing the performance and maintenance of infrastructure assets. From roads, bridges, and tunnels to airports and smart cities, it will guide you through the latest advances in and use cases on this cutting-edge technology. You will come to understand the challenges involved in the development of digital twins and learn about the initiatives and projects underway to overcome them. Explore the potential of this technology in terms of reducing costs, improving system performance, and enhancing the overall infrastructure experience for users. Get ready to embark on a journey of understanding the future of transportation infrastructure management with digital twin technologies.
Urban Management Managing Cities In Uncertain Times
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Author : Willie Chee Keong Tan
language : en
Publisher: World Scientific
Release Date : 2022-12-27
Urban Management Managing Cities In Uncertain Times written by Willie Chee Keong Tan and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-12-27 with Architecture categories.
This book is about the management of cities amid the major challenges to fast growing cities as well as the struggling ones. It discusses trends in urbanization, urban challenges, the urban management approach, theories of the state and urban management, building capacity, urban planning, local economic development, housing, urban service delivery, public utilities, social services, general urban services, and transport. The book emphasizes general principles rather than specific case studies on managing cities.The book is of interest to practitioners and students in the built environment, including mayors, urban managers, urban planners, developers, lenders, insurers, architects, engineers, project managers, and other consultants, contractors, and suppliers.
Ai For Bridge
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Author : Rakesh Kumar
language : en
Publisher: Independently Published
Release Date : 2024-04-09
Ai For Bridge written by Rakesh Kumar and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-09 with Technology & Engineering categories.
Bridges stand as iconic symbols of human ingenuity, connecting communities, facilitating commerce, and enabling travel over challenging terrains. As vital components of transportation infrastructure, bridges play a crucial role in modern society's mobility and economic development. However, the design, construction, and maintenance of bridges pose significant engineering challenges, demanding innovative solutions to ensure their safety, durability, and sustainability. In recent years, the integration of artificial intelligence (AI) technologies into bridge construction and management has revolutionized traditional practices, offering new avenues for enhancing efficiency, safety, and sustainability. By harnessing the power of AI, engineers and researchers can leverage advanced algorithms, data analytics, and automation techniques to address complex bridge-related tasks with unprecedented precision and effectiveness. The book "AI for Bridge" delves into the intersection of artificial intelligence and bridge engineering, offering insights into how AI-driven approaches are reshaping the landscape of bridge design, construction, inspection, and maintenance. Through a comprehensive exploration of AI applications in bridge engineering, this book aims to provide a holistic understanding of the potential benefits, challenges, and future directions of integrating AI technologies into bridge-related processes. From leveraging AI for optimizing bridge design and construction planning to employing drones and IoT sensors for real-time structural health monitoring, each chapter of this book delves into a specific aspect of AI's role in bridge engineering. Through case studies, practical examples, and Python code demonstrations, readers will gain hands-on experience in applying AI techniques to address real-world challenges in bridge construction and management. As we embark on this journey through the realms of AI and bridge engineering, we invite readers to explore the innovative possibilities, transformative impacts, and ethical considerations that accompany the integration of AI technologies into the realm of bridge infrastructure. Whether you're a seasoned bridge engineer, a researcher, a student, or an AI enthusiast, "AI for Bridge" offers a comprehensive guide to navigating the intersection of artificial intelligence and one of humanity's most enduring engineering marvels.
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
Artificial Intelligence In Construction Engineering And Management
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Author : Limao Zhang
language : en
Publisher: Springer Nature
Release Date : 2021-06-18
Artificial Intelligence In Construction Engineering And Management written by Limao Zhang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-18 with Technology & Engineering categories.
This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The construction industry worldwide has been a late bloomer to adopting digital technology, where construction projects are predominantly managed with a heavy reliance on the knowledge and experience of construction professionals. AI works by combining large amounts of data with fast, iterative processing, and intelligent algorithms (e.g., neural networks, process mining, and deep learning), allowing the computer to learn automatically from patterns or features in the data. It provides a wide range of solutions to address many challenging construction problems, such as knowledge discovery, risk estimates, root cause analysis, damage assessment and prediction, and defect detection. A tremendous transformation has taken place in the past years with the emerging applications of AI. This enables industrial participants to operate projects more efficiently and safely, not only increasing the automation and productivity in construction but also enhancing the competitiveness globally.
Artificial Intelligence For Future Intelligent Transportation
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Author : Rajesh Kumar Dhanaraj
language : en
Publisher: CRC Press
Release Date : 2024-01-09
Artificial Intelligence For Future Intelligent Transportation written by Rajesh Kumar Dhanaraj and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-09 with Computers categories.
Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.
The Power Of Artificial Intelligence For The Next Generation Oil And Gas Industry
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Author : Pethuru Raj Chelliah
language : en
Publisher: John Wiley & Sons
Release Date : 2023-12-04
The Power Of Artificial Intelligence For The Next Generation Oil And Gas Industry written by Pethuru Raj Chelliah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-04 with Computers categories.
The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.