Volume 13, Issue 1 (1-2023)                   IJOCE 2023, 13(1): 93-110 | Back to browse issues page

XML Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Jazbi M, Aghazadeh A B, Mirvalad S. A COMPREHENSIVE REVIEW ON THE ARTIFICIAL INTELLIGENCE (AI) APPROACHES USED FOR EXAMINING THE MECHANICAL PROPERTIES OF CONCRETE INCORPORATING VARIOUS MATERIALS. IJOCE 2023; 13 (1) :93-110
URL: http://ijoce.iust.ac.ir/article-1-543-en.html
A COMPREHENSIVE REVIEW ON THE ARTIFICIAL INTELLIGENCE (AI) APPROACHES USED FOR EXAMINING THE MECHANICAL PROPERTIES OF CONCRETE INCORPORATING VARIOUS MATERIALS
M. Jazbi1 , A. B. Aghazadeh1 , S. Mirvalad * 1
1- School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
Abstract:   (6084 Views)
Remarkable growth in the use of AI in various fields of civil engineering is going on in the new era. The applications of Artificial Intelligence (AI) are widely considered for specifying the mechanical properties of concretes and noticeable results are reported. Hence, this systematic review aims to study different methods presented in various research in this regard. The gaps and shortcomings of the previous studies are presented, which can shed light on future studies by presenting new ideas. The major issues that the research seek to examine are accuracy and authenticity. The experimental costs and time spent specifying the concrete's mechanical properties will significantly reduce using AI techniques. It is recommended to employ AI methods more widely for composite materials. The suggestions presented here can be beneficial to those aiming to advance in this significant and offer more innovations.
 
Keywords: artificial intelligence, civil engineering, mechanical properties, concrete, composite materials
Full-Text [PDF 726 kb]   (3257 Downloads)    
Type of Study: Research | Subject: Applications
Received: 2022/11/29 | Accepted: 2023/01/11 | Published: 2023/01/11
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iran University of Science & Technology

Designed & Developed by : Yektaweb