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Integrating AI and statistical methods for enhancing civil structures: current trends, practical issues and future direction

Anjum, Asraar and Hrairi, Meftah and Shaikh, Abdul Aabid and Mohd Yatim, Norfazrina Hayati and Ali, Maisarah (2025) Integrating AI and statistical methods for enhancing civil structures: current trends, practical issues and future direction. Frattura ed Integrita Strutturale, 19 (71). pp. 164-181. ISSN 1971-8993

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Abstract

The integration of artificial intelligence (AI) and statistical methods has revolutionized civil engineering by enhancing accuracy, efficiency, and reliability in various processes. This review systematically examines how advanced optimization techniques, including artificial neural networks (ANNs), Design of Experiments (DOE), and fuzzy logic (FL), are transforming civil engineering practices. It emphasizes the significant roles these methods play in addressing modern challenges such as structural health monitoring, damage detection, seismic design optimization, and concrete condition assessment. The review delves into case studies and real-world applications, showcasing the potential of these methods to create more resilient, sustainable, and cost-effective infrastructures. It critically examines the limitations and scalability of these techniques, identifying gaps in current research and practical challenges in real-world applications. The investigation also highlights the need for substantial computational resources, data privacy, security, and software interoperability. By addressing these issues, the review not only shows advancements in optimization techniques but also outlines future research directions, aiming to bridge the gap between theoretical developments and practical applications in civil engineering. This review serves as an essential resource for researchers, professionals, and policymakers interested in leveraging optimization techniques to advance civil engineering practices

Item Type: Article (Journal)
Uncontrolled Keywords: Optimization Techniques, Artificial Intelligence (AI), Civil Structures, Fuzzy Logic, Design of Experiments (DOE)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA349 Mechanics of engineering. Applied mechanics
T Technology > TA Engineering (General). Civil engineering (General) > TA630 Structural engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Prof. Dr. Meftah Hrairi
Date Deposited: 19 Nov 2024 14:29
Last Modified: 19 Nov 2024 14:29
URI: http://irep.iium.edu.my/id/eprint/115686

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