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Artificial Intelligence in Construction Engineering and Management

Artificial Intelligence in Construction Engineering and Management
Author: Limao Zhang
Publisher: Springer Nature
Total Pages: 271
Release: 2021-06-18
Genre: Technology & Engineering
ISBN: 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.


A Primer on Machine Learning Applications in Civil Engineering

A Primer on Machine Learning Applications in Civil Engineering
Author: Paresh Chandra Deka
Publisher: CRC Press
Total Pages: 201
Release: 2019-10-28
Genre: Computers
ISBN: 0429836651

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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


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
Total Pages: 459
Release: 2022-11-17
Genre: Computers
ISBN: 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.


Artificial Intelligence and Civil Engineering

Artificial Intelligence and Civil Engineering
Author: B. H. V. Topping
Publisher: Civil Comp Press
Total Pages: 356
Release: 1991
Genre: Computers
ISBN:

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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.


Digital Transformation of the Design, Construction and Management Processes of the Built Environment

Digital Transformation of the Design, Construction and Management Processes of the Built Environment
Author: Bruno Daniotti
Publisher: Springer Nature
Total Pages: 400
Release: 2019-01-01
Genre: Building
ISBN: 3030335704

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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.


Artificial Intelligence in Structural Engineering

Artificial Intelligence in Structural Engineering
Author: Ian Smith
Publisher: Springer Science & Business Media
Total Pages: 518
Release: 1998-07-15
Genre: Computers
ISBN: 9783540648062

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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.


Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering

Artificial Intelligence and Machine Learning Applications in Civil, Mechanical, and Industrial Engineering
Author: Gebrail Bekdas
Publisher: Engineering Science Reference
Total Pages: 312
Release: 2019
Genre: Artificial intelligence
ISBN: 9781799803027

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


Artificial Intelligence and Machine Learning Techniques for Civil Engineering

Artificial Intelligence and Machine Learning Techniques for Civil Engineering
Author: Plevris, Vagelis
Publisher: IGI Global
Total Pages: 404
Release: 2023-06-05
Genre: Technology & Engineering
ISBN: 1668456443

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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.


The Construction Technology Handbook

The Construction Technology Handbook
Author: Hugh Seaton
Publisher: John Wiley & Sons
Total Pages: 224
Release: 2021-01-07
Genre: Technology & Engineering
ISBN: 111971995X

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Tired of new software that doesn't seem to work in the field? Ready to get your teams up to speed and productive with the latest tools? The Construction Technology Handbook takes a ground up, no jargon look at technology in the construction industry. From clear, quickly grasped explanations of how popular software actually works to how companies both large and small can efficiently try out and onboard new tools, this book unlocks new ways for construction field teams, firm owners, managers, leaders, and employees to do business. You'll learn about: Simple frameworks for making sense of all the new options cropping up How software and data work and how they work together to make your job easier and safer What artificial intelligence really is and how it can help real companies today Tools that are just over the horizon that will, one day, make your job just a little bit easier New and practical resources to help you incorporate an attitude of innovation and technology adoption into your workplace Perfect for general contractors and subcontractors, The Construction Technology Handbook also belongs on the bookshelves of construction technology vendors and construction workers who want to better understand the needs of the construction industry and the inner workings of construction technology, respectively.


Construction and Building Automation

Construction and Building Automation
Author: Benny Raphael
Publisher: Taylor & Francis
Total Pages: 277
Release: 2022-07-26
Genre: Technology & Engineering
ISBN: 1000615669

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This book is intended to be used as a textbook in undergraduate civil engineering and construction courses to introduce cutting edge mechanical, electrical, and computer science topics that are needed for civil and construction engineers to collaborate in inter-disciplinary automation projects. Part I introduces the basics of hardware and software technologies that are needed for implementing automation in buildings and construction. The content begins with the fundamental concepts and uses practical examples to bring out the benefits of automation through case studies that are easy to understand. No other book uniformly treats the subject of automation within the context of buildings and construction activities. While the technology needed for these two application domains are similar, the unifying principles are not well recognized. This book will bring out the fundamental principles that could form the basis of application to these two domains. For example, it will become clear that sensors, actuators, and controllers, along with smart control strategies could be used for automating tasks within buildings and on construction sites. Part II of the book will introduce key advances in the areas of machine learning and artificial intelligence that are significant for the intelligent control of buildings and construction equipment. Control algorithms and techniques for data analytics are explained in a form that is appropriate for non-computer science students. Each chapter contains several hands-on exercises meant to apply the principles that are covered. These include numerical problems as well as design and analysis examples. This new textbook: • Introduces hardware and software needed for automating engineering tasks • Presents examples of applications in the control of building systems • Illustrates of the use of automation for improving construction processes • Provides a lucid introduction to advanced computing concepts, machine learning, artificial intelligence, and control algorithms to construction and engineering students. It is sure to be essential reading for a growing number of courses in smart construction, building automation, robotics, intelligent buildings, and construction 4.0. Supplementary material including answers to exercises in the book will be provided on the author’s website: https://bennyraphael.com/book2022/