A Deliberation on Modern AI-Driven Research within Civil Engineering

Bhattraradej Boonsap Witchayangkoon; Thongchai Photong; Yasser Arab; Boonchai Chearnkiatpradab; Ahmad Sanusi Hassan

:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

http://TuEngr.com

ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8

FEATURE PEER-REVIEWED ARTICLE

Vol.16(1) (2025)

A Deliberation on Modern AI-Driven Research within Civil Engineering

Bhattraradej Boonsap Witchayangkoon (Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Rangsit, THAILAND and Thammasat University Research Unit in Climate Change and Sustainability, Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, THAILAND).
Thongchai Photong (Department of Civil Engineering, Faculty of Engineering, King Mongkut's University of Technology Thonburi, THAILAND),
Yasser Arab (Department of Architectural Engineering, Dhofar University, Salalah, SULTANATE of OMAN),
Boonchai Chearnkiatpradab (Department of Civil Engineering, Faculty of Engineering, South East Asia University, THAILAND),
Ahmad Sanusi Hassan (School of Housing, Building & Planning, Universities Sains Malaysia, MALAYSIA),
Pisit Thongjub (Department of Civil Engineering, Thammasat School of Engineering, Thammasat University, Rangsit, THAILAND)

Discipline: Civil Engineering, Artificial Intelligence Application.
➤ FullText

doi: 10.14456/ITJEMAST.2025.3

Keywords: Structural engineering; SHM research; AI-based research; Construction management; Water resources engineering; Materials science; BIM; Transportation engineering; Surveying and spatial engineering.

Abstract

This discussion explores the research involving the applications of AI within sub-disciplines of civil engineering. As infrastructure projects grow more intricate, there is a growing need for improved efficiency & sustainable solutions, leading to a rapid transformation of traditional civil engineering practices & research through AI. This work highlights the significance of AI in structural engineering (including design optimization, structural health monitoring, & damage detection), construction management (covering project scheduling, safety, automation, & quality control), geotechnical engineering (focusing on soil characterization, slope stability, & foundation design), transportation engineering (involving traffic management, pavement assessment, & autonomous systems), water resources & environmental engineering (addressing flood prediction & water quality modeling), materials science (concerning novel material design & property prediction), and surveying & spatial engineering (automated data acquisition and processing, advanced mapping and 3D modeling). The fusion of AI is expected to yield substantial advantages, including heightened productivity, improved safety, enhanced decision-making, better resource utilization, and the creation of more resilient & environmentally friendly infrastructure. Ultimately, AI-driven research is set to revolutionize civil engineering frameworks, leading to a future characterized by smarter, safer, and more sustainable built environments through the seamless incorporation of technologies like IoT, Digital Twins, and BIM.

Paper ID: 16A1C

Cite this article:

Witchayangkoon, B. B., Photong, T., Arab, Y., Hassan, A. S., Chearnkiatpradab, B. and Thongjub, P. (2025). A Deliberation on Modern AI-Driven Research within Civil Engineering. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 16(1), 16A1C, 1-21. http://doi.org/10.14456/ITJEMAST.2025.3

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