Role of Artificial Intelligence in Sustainable Bridge Design
|
|
|||||||||||
Bibliographic Details
| Author(s): |
S. Saju
(Bridges Design Unit, Chief Design Office, KPWD, Trivandrum, Kera/a, India)
G. K. Nisha (Electrical Engineering Department, MBCET, Trivandrum, Kera/a, India) |
||||
|---|---|---|---|---|---|
| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023 | ||||
| Published in: | IABSE Congress New Delhi 2023 | ||||
|
|||||
| Page(s): | 1128-1136 | ||||
| Total no. of pages: | 9 | ||||
| DOI: | 10.2749/newdelhi.2023.1128 | ||||
| Abstract: |
Sustainable bridge design criteria seek not only to economise the cost, but also to diminish adverse ecological and socio-cultural impacts and works to balance all the three. This multi-criterion decision-making process is often subject to inconsistent opinions of stakeholders. To address the highly complex issue of the sustainable bridge design, Artificial lntelligence {Al} will be the best tool for decision-making process to determine the finest sustainable design by getting the probability of a particular design being chosen. Al can assist this decision-making by offering profound visions on the sustainability aspects in design problems based on available field data, thereby enhancing the quality of the design process, and concurrently served as directives for novice engineers. ln this paper, a novel rating system for sustainability assessment of bridge design has been proposed and an Al based model to predict the sustainability rating of bridges has been developed. |
||||
| Keywords: |
sustainability machine learning artificial intelligence Sustainable bridge design Sustainability rating system Supervised learning
|
||||