Artificial Intelligence-Driven Transformation in Civil Engineering: Key Technologies and Advances in Practice

DOI

10.2991/978-94-6463-902-5_5How to use a DOI?

Keywords

Artificial intelligence (AI); Civil engineering; Intelligent Transformation; Technological convergence

Abstract

Against the backdrop of rapid urbanization and growing infrastructure demands, traditional civil engineering faces dual challenges in efficiency and quality. This paper examines the innovative applications of artificial intelligence (AI) across the entire lifecycle of civil engineering, systematically exploring its technological pathways and practical outcomes in design, construction, and operation and maintenance (O&M). In the design phase, machine learning enables automated structural design and multi-objective optimization, overcoming the limitations of conventional experience-dependent approaches and significantly improving solution-generation efficiency. During construction, natural language processing (NLP) techniques optimize process organization and risk management strategies, facilitating the transition toward intelligent and precision-driven on-site operations. For O&M, the integration of deep learning and image recognition revolutionizes infrastructure crack detection, damage identification, and monitoring capabilities, providing data-driven support for informed decision-making. Through an interdisciplinary approach, this study consolidates representative case studies to elucidate the shift toward data-integrated models in AI-driven civil engineering, emphasizing the pivotal role of technological convergence in advancing industry-wide intelligent transformation. The research not only presents a practical technical framework for engineering applications but also identifies key challenges to address in future studies, aiming to accelerate the industry’s transition toward efficient, safe, and sustainable intelligent construction.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Leyang Xie
AU  - Man Zhou
PY  - 2025
DA  - 2025/12/16
TI  - Artificial Intelligence-Driven Transformation in Civil Engineering: Key Technologies and Advances in Practice
BT  - Proceedings of the 2025 7th International Conference on Civil Engineering, Environment Resources and Energy Materials (CCESEM 2025)
PB  - Atlantis Press
SP  - 34
EP  - 42
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-902-5_5
DO  - 10.2991/978-94-6463-902-5_5
ID  - Xie2025
ER  -