Uses of Artificial Intelligence in Civil Engineering

Artificial Intelligence (AI), a branch of computer science, focuses on the development and application of intelligent systems. Solving complex problems typically demands substantial computational power, but AI-driven technologies offer a more efficient alternative. This paper explores recent advancements in AI concepts and methodologies within civil engineering, highlighting the field’s rapid progress. With significant developments in big data, deep learning, and machine learning, AI has been effectively integrated into various domains of civil engineering. Key areas of AI research in the field include structural analysis, maintenance, and design optimization. The implementation of AI enhances data collection, sustainability assessment, and productivity, offering substantial benefits to civil engineers. The digital transformation of the construction industry has led to a growing emphasis on sustainability. Traditionally, computing in civil engineering has been centred around numerical and algorithmic calculations. However, addressing real-world, unstructured, and empirical challenges requires the use of expert systems and AI-based solutions.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-30
DOI
https://doi.org/10.5281/zenodo.15387634
Primary Topic
BIM and Construction Integration
Type
article
Field-Weighted Citation Impact
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article

Uses of Artificial Intelligence in Civil Engineering

Zenodo (CERN European Organization for Nuclear Research)
BIM and Construction Integration
article

Uses of Artificial Intelligence in Civil Engineering

article en

Abstract

Artificial Intelligence (AI), a branch of computer science, focuses on the development and application of intelligent systems. Solving complex problems typically demands substantial computational power, but AI-driven technologies offer a more efficient alternative. This paper explores recent advancements in AI concepts and methodologies within civil engineering, highlighting the field’s rapid progress. With significant developments in big data, deep learning, and machine learning, AI has been effectively integrated into various domains of civil engineering. Key areas of AI research in the field include structural analysis, maintenance, and design optimization. The implementation of AI enhances data collection, sustainability assessment, and productivity, offering substantial benefits to civil engineers. The digital transformation of the construction industry has led to a growing emphasis on sustainability. Traditionally, computing in civil engineering has been centred around numerical and algorithmic calculations. However, addressing real-world, unstructured, and empirical challenges requires the use of expert systems and AI-based solutions.

Zenodo (CERN European Organization for Nuclear Research)
KPR Institute of Engineering and Technology (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 52%
BIM and Construction Integration
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