Artificial Intelligence In Construction Engineering And Management

Author : Limao Zhang,Yue Pan,Xianguo Wu,Mirosław J. Skibniewski
Publisher : Springer Nature
Page : 271 pages
File Size : 46,9 Mb
Release : 2021-06-18
Category : Technology & Engineering
ISBN : 9789811628429

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Artificial Intelligence in Construction Engineering and Management by Limao Zhang,Yue Pan,Xianguo Wu,Mirosław J. Skibniewski Pdf

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.

Author : M.Z. Naser
Publisher : CRC Press
Page : 459 pages
File Size : 55,7 Mb
Release : 2022-11-17
Category : Computers
ISBN : 9781000788990

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Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure by M.Z. Naser Pdf

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.

Author : B. H. V. Topping
Publisher : Civil Comp Press
Page : 356 pages
File Size : 46,7 Mb
Release : 1991
Category : Computers
ISBN : STANFORD:36105008528320

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Artificial Intelligence and Civil Engineering by B. H. V. Topping Pdf

Included in this volume are papers presented at the Second International Conference on the Application of Artificial Intelligence to Civil & Structural Engineering, 3-5 September, 1991, Oxford.

Author : Moncef L. Nehdi,Harish Chandra Arora,Krishna Kumar,Robertas Damaševičius,Aman Kumar
Publisher : Elsevier
Page : 440 pages
File Size : 46,7 Mb
Release : 2024-02-13
Category : Technology & Engineering
ISBN : 9780443131929

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Artificial Intelligence Applications for Sustainable Construction by Moncef L. Nehdi,Harish Chandra Arora,Krishna Kumar,Robertas Damaševičius,Aman Kumar Pdf

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

Author : Paresh Chandra Deka
Publisher : CRC Press
Page : 201 pages
File Size : 51,8 Mb
Release : 2019-10-28
Category : Computers
ISBN : 9780429836657

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A Primer on Machine Learning Applications in Civil Engineering by Paresh Chandra Deka Pdf

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises

Author : Plevris, Vagelis,Ahmad, Afaq,Lagaros, Nikos D.
Publisher : IGI Global
Page : 404 pages
File Size : 44,7 Mb
Release : 2023-06-05
Category : Technology & Engineering
ISBN : 9781668456446

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Artificial Intelligence and Machine Learning Techniques for Civil Engineering by Plevris, Vagelis,Ahmad, Afaq,Lagaros, Nikos D. Pdf

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.

Author : B. H. V. Topping
Publisher : Civil Comp Press
Page : 346 pages
File Size : 44,5 Mb
Release : 1989
Category : Computers
ISBN : UOM:39015017901110

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Artificial Intelligence Techniques and Applications for Civil and Structural Engineers by B. H. V. Topping Pdf

Included in this volume are papers presented at the First International Conference on the Application of Artificial Intelligence to Civil & Structural Engineering, 19-21 September, 1989, London.

Author : Bianca Christina Weber-Lewerenz
Publisher : Springer Nature
Page : 490 pages
File Size : 54,8 Mb
Release : 2022-12-17
Category : Technology & Engineering
ISBN : 9783658394073

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Accents of added value in construction 4.0 by Bianca Christina Weber-Lewerenz Pdf

The book wants to do justice to the complexity surrounding the Digital Transformation and AI in the Construction Industry. User practice experiences show how digital change can be shaped sensibly and constructively, what kind of methods and technologies do exist or can be developed, which fields of application can be explored, by keeping an eye on risks and opportunities. The book works out key factors and core competencies at all levels, which are decisive both for sustainably using innovative technologies and for setting the Seal of Quality of the Construction Industry at home and abroad.

Author : Chansik Park,Farzad Pour Rahimian,Nashwan Dawood,Akeem Pedro,Lee Dongmin,Rahat Hussain,Mehrtash Soltani
Publisher : Taylor & Francis
Page : 367 pages
File Size : 41,6 Mb
Release : 2023-12-12
Category : Technology & Engineering
ISBN : 9781003805298

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Digitalization in Construction by Chansik Park,Farzad Pour Rahimian,Nashwan Dawood,Akeem Pedro,Lee Dongmin,Rahat Hussain,Mehrtash Soltani Pdf

This book highlights the latest trends and advances in applications of digital technologies in construction engineering and management. A collection of chapters is presented, explicating how advanced technological solutions can innovatively address challenges and improve outcomes in the construction industry. Promising technologies that are highlighted include digital twins, virtual reality, augmented reality, artificial intelligence, robotics, blockchain, and distributed ledger technologies. The first section presents recent applications of extended reality technologies for construction education and advanced project control. The subsequent chapters explore Artificial Intelligence (AI), blockchain, and BIM-enabled digitalization in construction through a series of case studies, reviews, and technical studies. Innovative technologies and digitalized solutions are proposed for improved design, planning, training, monitoring, inspection, and operations management in Architectural, Engineering and Construction (AEC) contexts. In addition to the technological perspectives and insights presented, pressing issues such as decarbonization, safety, and sustainability in the built environment are also discussed. This book provides foundational knowledge and in-depth technical studies on emerging technologies for students, academics, and industry practitioners. The research demonstrates how the effective use of new technologies can enhance work methods, transform organizational structures, and bring profound advantages to construction project participants.

Author : Ian Smith
Publisher : Springer Science & Business Media
Page : 518 pages
File Size : 55,7 Mb
Release : 1998-07-15
Category : Computers
ISBN : 3540648062

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Artificial Intelligence in Structural Engineering by Ian Smith Pdf

This book presents the state of the art of artificial intelligence techniques applied to structural engineering. The 28 revised full papers by leading scientists were solicited for presentation at a meeting held in Ascona, Switzerland, in July 1998. The recent advances in information technology, in particular decreasing hardware cost, Internet communication, faster computation, increased bandwidth, etc., allow for the application of new AI techniques to structural engineering. The papers presented deal with new aspects of information technology support for the design, analysis, monitoring, control and diagnosis of various structural engineering systems.

Author : European Group for Structural Engineering Applications of Artificial Intelligence. International Conference
Publisher : Unknown
Page : 144 pages
File Size : 48,8 Mb
Release : 2001
Category : Artificial intelligence
ISBN : 1897911246

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Artificial Intelligence in Construction and Structural Engineering by European Group for Structural Engineering Applications of Artificial Intelligence. International Conference Pdf

Author : Gebrail Bekdas,Sinan Melih Nigdeli,Melda Yucel
Publisher : Engineering Science Reference
Page : 312 pages
File Size : 54,6 Mb
Release : 2019
Category : Artificial intelligence
ISBN : 1799803023

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Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering by Gebrail Bekdas,Sinan Melih Nigdeli,Melda Yucel Pdf

"This book examines the application of artificial intelligence and machine learning civil, mechanical, and industrial engineering"--

Author : Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi
Publisher : Springer Nature
Page : 254 pages
File Size : 44,5 Mb
Release : 2023-02-15
Category : Science
ISBN : 9789811987908

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Artificial Intelligence in Mechatronics and Civil Engineering by Ehsan Momeni,Danial Jahed Armaghani,Aydin Azizi Pdf

Recent studies highlight the application of artificial intelligence, machine learning, and simulation techniques in engineering. This book covers the successful implementation of different intelligent techniques in various areas of engineering focusing on common areas between mechatronics and civil engineering. The power of artificial intelligence and machine learning techniques in solving some examples of real-life problems in engineering is highlighted in this book. The implementation process to design the optimum intelligent models is discussed in this book.

Author : Bruno Daniotti,Marco Gianinetto,Stefano Della Torre
Publisher : Springer Nature
Page : 400 pages
File Size : 55,6 Mb
Release : 2019-01-01
Category : Building
ISBN : 9783030335700

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Digital Transformation of the Design, Construction and Management Processes of the Built Environment by Bruno Daniotti,Marco Gianinetto,Stefano Della Torre Pdf

This open access book focuses on the development of methods, interoperable and integrated ICT tools, and survey techniques for optimal management of the building process. The construction sector is facing an increasing demand for major innovations in terms of digital dematerialization and technologies such as the Internet of Things, big data, advanced manufacturing, robotics, 3D printing, blockchain technologies and artificial intelligence. The demand for simplification and transparency in information management and for the rationalization and optimization of very fragmented and splintered processes is a key driver for digitization. The book describes the contribution of the ABC Department of the Polytechnic University of Milan (Politecnico di Milano) to R&D activities regarding methods and ICT tools for the interoperable management of the different phases of the building process, including design, construction, and management. Informative case studies complement the theoretical discussion. The book will be of interest to all stakeholders in the building process - owners, designers, constructors, and faculty managers - as well as the research sector.

Author : Paresh Chandra Deka
Publisher : CRC Press
Page : 201 pages
File Size : 49,9 Mb
Release : 2019-10-28
Category : Computers
ISBN : 9780429836657

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A Primer on Machine Learning Applications in Civil Engineering by Paresh Chandra Deka Pdf

Machine learning has undergone rapid growth in diversification and practicality, and the repertoire of techniques has evolved and expanded. The aim of this book is to provide a broad overview of the available machine-learning techniques that can be utilized for solving civil engineering problems. The fundamentals of both theoretical and practical aspects are discussed in the domains of water resources/hydrological modeling, geotechnical engineering, construction engineering and management, and coastal/marine engineering. Complex civil engineering problems such as drought forecasting, river flow forecasting, modeling evaporation, estimation of dew point temperature, modeling compressive strength of concrete, ground water level forecasting, and significant wave height forecasting are also included. Features Exclusive information on machine learning and data analytics applications with respect to civil engineering Includes many machine learning techniques in numerous civil engineering disciplines Provides ideas on how and where to apply machine learning techniques for problem solving Covers water resources and hydrological modeling, geotechnical engineering, construction engineering and management, coastal and marine engineering, and geographical information systems Includes MATLAB® exercises