Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	November 2022
Genre:	Naturwissensch., Medizin, Technik
	Artificial Intelligence / Artificial Intelligence (AI) / Automatic control engineering / COMPUTERS / Artificial Intelligence / General / COMPUTERS / Machine Theory / concrete material properties / Electrical Engineering / Finite Element Modeling / nonlinear structural response estimation / Predictive Modeling Techniques / SCIENCE / Life Sciences / General / sensor network applications / structural reliability assessment / Technical design / TECHNOLOGY & ENGINEERING / Civil / General / traffic safety analysis mehr...
ISBN:	9780367422103
EAN-Code:	9780367422103
Verlag:	Taylor and Francis
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 234 mm / B 156 mm / D
Gewicht:	860 gr
Seiten:	446
Illustration:	schwarz-weiss Illustrationen, farbige Illustrationen, Raster,schwarz-weiss, Raster, farbig, Zeichnungen, schwarz-weiss, Zeichnungen, farbig, Tabellen, schwarz-weiss
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

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.