Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure

Author: M.Z. Naser

Publisher: CRC Press

Published: 2022-11-17

Total Pages: 459

ISBN-13: 1000788997

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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
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure

Author: M. Z. Naser

Publisher: Elsevier

Published: 2023-11-01

Total Pages: 300

ISBN-13: 0128240741

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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

Urban Management: Managing Cities In Uncertain Times
Urban Management: Managing Cities In Uncertain Times

Author: Willie Chee Keong Tan

Publisher: World Scientific

Published: 2022-12-27

Total Pages: 292

ISBN-13: 9811266964

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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-Based Services for Smart Cities and Urban Infrastructure
AI-Based Services for Smart Cities and Urban Infrastructure

Author: Lyu, Kangjuan

Publisher: IGI Global

Published: 2020-09-04

Total Pages: 353

ISBN-13: 1799850250

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Cities are the next frontier for artificial intelligence to permeate. As smart urban environments become possible, probable, and even preferred, artificial intelligence offers the chance for even further advancement through infrastructure and industry boosting. Opportunity overflows, but without thorough research to guide a complicated development and implementation process, urban environments can become disorganized and outright dangerous for citizens. AI-Based Services for Smart Cities and Urban Infrastructure is a collection of innovative research that explores artificial intelligence (AI) applications in urban planning. In addition, the book looks at how the internet of things and AI can work together to enable a real smart city and discusses state-of-the-art techniques in urban infrastructure design, construction, operation, maintenance, and management. While highlighting a broad range of topics including construction management, public transportation, and smart agriculture, this book is ideally designed for engineers, entrepreneurs, urban planners, architects, policymakers, researchers, academicians, and students.

Artificial Intelligence Applications for Sustainable Construction
Artificial Intelligence Applications for Sustainable Construction

Author: Moncef L. Nehdi

Publisher: Elsevier

Published: 2024-02-13

Total Pages: 440

ISBN-13: 0443131929

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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
Artificial Intelligence in Construction Engineering and Management

Author: Limao Zhang

Publisher: Springer Nature

Published: 2021-06-18

Total Pages: 271

ISBN-13: 9811628424

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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.

AI for Bridge
AI for Bridge

Author: Rakesh Kumar

Publisher: Independently Published

Published: 2024-04-09

Total Pages: 0

ISBN-13:

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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.

Innovative Modeling and Management of Infrastructure Systems, Engineering and Construction Operations, and Offsite Construction Technology Using Computational Data Analytics
Innovative Modeling and Management of Infrastructure Systems, Engineering and Construction Operations, and Offsite Construction Technology Using Computational Data Analytics

Author: Rayan Hassane Assaad

Publisher:

Published: 2021

Total Pages: 18

ISBN-13:

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"The construction industry has been facing considerable challenges due to the inadequacy of the traditional methods in executing, managing, and modeling infrastructure and construction projects. While many techniques have been developed to improve the decision-making process in the industry, there is no evidence of sufficient and continuous improvements in the industry's adoption and implementation of innovative techniques such as new management approaches, modern modeling methods, and emerging computational data analytics. To this end, the goal of this research is to address some of the recent challenges faced in the industry with a focus on infrastructure asset management, construction engineering and management operations, and offsite construction technology. The research goals and objectives were achieved through multiple management, modeling, and computational analytical methods; including artificial intelligence and supervised machine learning algorithms, mathematical and risk modeling, statistical and multivariate time series analysis, clustering techniques and unsupervised data mining algorithms, and surveys and industry panel meetings. The research has numerous intellectual merits, methodological contributions, and practical implications as it addresses critical research areas that have not been investigated before and strengthens areas which needed in-depth examination and further advancements. The findings, outcomes, and conclusions of this research will contribute in further improving the cost, time, productivity, and safety considerations in the industry; leveraging innovative management, modeling, and computational analytics in infrastructure and construction projects; devising data-driven decision-making processes; and administrating and preparing the workforce of the future"--Abstract, page iii.

Artificial Intelligence in Highway Safety
Artificial Intelligence in Highway Safety

Author: Subasish Das

Publisher: CRC Press

Published: 2022-09-29

Total Pages: 354

ISBN-13: 1000726266

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Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.