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

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
Author :
Publisher : CRC Press
Total Pages : 459
Release :
ISBN-10 : 9781000788990
ISBN-13 : 1000788997
Rating : 4/5 (997 Downloads)

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

Download or read book Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure written by M.Z. Naser and published by CRC Press. This book was released on 2022-11-17 with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


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

Leveraging Artificial Intelligence in Engineering, Management, and Safety of Infrastructure
Language: en
Pages: 459
Authors: M.Z. Naser
Categories: Computers
Type: BOOK - Published: 2022-11-17 - Publisher: CRC Press

DOWNLOAD EBOOK

The design, construction, and upkeep of infrastructure is comprised of a multitude of dimensions spanning a highly complex paradigm of interconnected opportunit
Interpretable Machine Learning for the Analysis, Design, Assessment, and Informed Decision Making for Civil Infrastructure
Language: en
Pages: 300
Authors: M. Z. Naser
Categories: Technology & Engineering
Type: BOOK - Published: 2023-10-18 - Publisher: Elsevier

DOWNLOAD EBOOK

The past few years have demonstrated how civil infrastructure continues to experience an unprecedented scale of extreme loading conditions (i.e. hurricanes, wil
Smart & Sustainable Infrastructure: Building a Greener Tomorrow
Language: en
Pages: 1210
Authors: Nemkumar Banthia
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK

Urban Management: Managing Cities In Uncertain Times
Language: en
Pages: 292
Authors: Willie Chee Keong Tan
Categories: Architecture
Type: BOOK - Published: 2022-12-27 - Publisher: World Scientific

DOWNLOAD EBOOK

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
Artificial Intelligence in Construction Engineering and Management
Language: en
Pages: 271
Authors: Limao Zhang
Categories: Technology & Engineering
Type: BOOK - Published: 2021-06-18 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book highlights the latest technologies and applications of Artificial Intelligence (AI) in the domain of construction engineering and management. The cons