Use of AI in Civil Engineering, its Problems and Solutions

Use of AI in Civil Engineering, its Problems and Solutions

Registration ID: IJNRD_225709

Published ID: IJNRD2408004

DOI: Click Here to Get

Abdul Munim , Muhammad Khizar Hayat khattak , Ibrahim Faisal , Ibrahim Waqar , Jawad Ahmed

Artificial Intelligence (AI), Machine Learning, Structural Health Monitoring, Predictive Maintenance, Civil Engineering

Civil engineering being an important field, it has not remained aloof from the global advancements in Artificial Intelligence (AI). This paper aims to discuss AI technologies in relation to civil engineering and their applicability, advantages and disadvantages. Civil engineering graduates’ use of AI methods like machine learning, neural networks, and deep learning show great potential for innovative practices in aspects like structural health monitoring, construction management, and predicting maintenance needs. To demonstrate the role of AI in civil engineering, this paper compiles a summary and analysis on literature as well as case studies that reveals how AI performs the tasks better by making predictions that are precise; how design procedures are made better; and how safety and efficiency are improved in the execution of civil engineering projects. However, the following problems remain: data quality problems, need for specialized knowledge, and AI’s interaction with current systems. The presented study outlines the recommendations on how to overcome these problems: data management should be consistently regulated across studies, and AI specialists and civil engineers should work closely together; AI-based methodologies should be integrated into academic curricula. Thus, this paper is to present the analysis of the above mentioned aspects to reveal the future perspectives of AI in CE and critical points that may need further study and development.

Published Paper   E-Certificate

"Use of AI in Civil Engineering, its Problems and Solutions", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 8, page no.a35-a52, August-2024, Available :https://ijnrd.org/papers/IJNRD2408004.pdf

Volume 9 Issue 8, August-2024

Pages : a35-a52

Paper Reg. ID: IJNRD_225709

Published Paper Id: IJNRD2408004

Downloads: 000121218

Research Area: Civil Engineering 

Country: Dera Ismail Khan, Punjab, Pakistan

Published Paper PDF: https://ijnrd.org/papers/IJNRD2408004.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2408004

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 8 | August 2025

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INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to explore advances in research pertaining to applied, theoretical and experimental Technological studies. The goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working in and around the world. IJNRD will provide an opportunity for practitioners and educators of engineering field to exchange research evidence, models of best practice and innovative ideas.

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