Revolution in Construction Industry with the Help of AI

Abstract

Civil engineering began with solving problems that were faced by society. Initially, it focused on the implementation of physical and mathematical concepts to solve the problems technically and create engineering solutions. The ancient and modern history of civil engineering, implementing new ideas, techniques, and tools to solve real-time problems through AI. A branch of computer science called Artificial intelligence (AI) deals with the study, creation, and use of intelligent machines. The important areas of artificial intelligence research in civil engineering include structural management and maintenance, as well as design optimization. Data collection, sustainability assessment, and productivity are just a few advantages and prospects that the use of AI in civil engineering offers to civil engineers.

Introduction

Artificial Intelligence (AI) refers to computational methods designed to replicate human intelligence and improve decision-making. In civil engineering, AI is revolutionizing areas like design, construction management, structural health monitoring, and cost control. With techniques like neural networks and data analysis, AI boosts efficiency, safety, and quality on job sites.

II. Literature Review – Key Findings

• Lu et al.: Summarized current AI technologies and their practical applications in civil engineering.

• Huang et al.: Highlighted the use of AI (neural networks, Big Data, and Deep Learning) in fields like geotechnics, structural health monitoring, and bridge engineering.

• Manzoor: Analyzed AI publication trends globally, showing growing interest in sustainable construction.

• Zhang: Focused on safety management and emergency response using AI in construction.

• Sgambi: Demonstrated the use of soft computing (neural nets, evolutionary algorithms) for studying complex structures like suspension bridges.

III. Techniques & Methods in AI for Civil Engineering

IV. Applications of AI in Civil Engineering

A. Geotechnical Engineering

AI helps model complex soil and rock behavior. Common applications include:

• Landslide prediction

• Slope stability

• Tunnel boring

• Foundation design

• Soil liquefaction analysis

B. AI in GIS (GeoAI)

AI enhances GIS capabilities, enabling:

• Intelligent spatial data analysis

• Satellite image interpretation using computer vision

• Efficient water management and soil monitoring

• AI-powered tools for addressing global water scarcity

C. Soil Mechanics

AI models are used to predict:

• Soil properties (density, strength)

• Concrete slump

• Performance of stabilized soil
  Using ANN and genetic models enhances accuracy in soil-related analyses.

V. AI in the Construction Industry

A. Software Integration

• Building Information Modeling (BIM) integrates AI to enhance design, planning, execution, and maintenance.

• AI augments BIM’s capabilities for predictive analysis and project management.

B. Autonomous Robots

• AI-powered robots support labor flexibility and continuity.

• Robots help reduce project delays due to labor shortages.

• Enable dynamic resource allocation and adaptability on construction sites.

Conclusion

The use and implementation of AI in civil engineering are discussed in this paper. For decades, artificial intelligence algorithms and neural networks have been extensively utilized in structural engineering, computer modeling, systemic situation evaluation, and health control, building engineering, bridge engineering, geotechnical engineering, pathway engineering, and so on. This article deals with the use of smart optimization methods in structural engineering and field research. Artificial intelligence can change day by day and can grow when computer programs are implemented in vast numbers. Phase by step, falsified understanding progresses, as the fundamental structure and its degree of systemic complexity grow to an ever greater extent.

References

[1] Bilal Manzoor1, Idris Othman 1, Serdar Durdyev1 , Syuhaida Ismail 3 and Mohammad Hussaini Wahab 3:Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development [2] Yougin Huang, Jiayong and Jiyang Fu Systematic review of the application of artificial intelligence tools in architecture, engineering and construction: Frontiers in Engineering and Built Environment [3] Bernd Carsten Stahl, Centre for Computing and Social Responsibility, De Montfort University, Leicester, UK. Ethical Issues of AI. [4] L. Sgambi Plevris, V.; Tsiatas, G. Computational Structural Engineering: Past Achievements and Future Challenges. Front. Built Environ. 2018 [5] Yuting Zhang Maria Niestadt with Ariane Debyser, Damiano Scordamaglia and Marketa Pape et al. Artificial Intelligence in Transport: Current and future developments, opportunities, and challenges. European parliamentary Research Service 2019. [6] Kailas G Nath: Delve In the New Era: Artificial Intelligence in Structural Engineering: IJCRT2022. [7] Abraham, A. Artificial Neural Networks. Handbook of Measuring System Design; Pengzhen Lu, Shengyong and yujun Zheng

Copyright

Copyright © 2025 Akshaykumar M. Karape, Shivangi A. Karape. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.