Open Access

REVIEW

Benefits of Artificial Intelligence for Achieving Durable and Sustainable Building Design

Abdullah Alariyan¹, Rawand A. Mohammed Amin², Ameen Mokhles Youns³, Mahmoud Alhashash⁴, Favzi Ghreivati⁵, Ahed Habib^6,*, Maan Habib⁷

1 Department of Civil Engineering, Eastern Mediterranean University, Famagusta, 99628, Cyprus
2Departement of Architecture, University of Kurdistan Hewler, Erbil, 44001, Iraq
3 Department of Architecture, Eastern Mediterranean University, Famagusta, 99628, Cyprus
4 Department of Civil Engineering, Cyprus International University, Nicosia, 99628, North Cyprus via Mersin 10, Türkiye
5 Departement of Civil Engineering, İstanbul Kültür Üniversitesi, Istanbul, 34158, Türkiye
6 Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, P.O. Box 27272, United Arab Emirates
7 Faculty of Civil Engineering, Damascus University, Damascus, Syria

* Corresponding Author: Ahed Habib. Email:

(This article belongs to the Special Issue: Resilient and Sustainable Infrastructure: Monitoring, Safety, and Durability)

Structural Durability & Health Monitoring 2025, 19(6), 1387-1410. https://doi.org/10.32604/sdhm.2025.069821

Received 01 July 2025; Accepted 16 September 2025; Issue published 17 November 2025

Abstract

Artificial intelligence (AI) is transforming the building and construction sector, enabling enhanced design strategies for achieving durable and sustainable structures. Traditional methods of design and construction often struggle to adequately predict building longevity, optimize material use, and maintain sustainability throughout a building’s lifecycle. AI technologies, including machine learning, deep learning, and digital twins, present advanced capabilities to overcome these limitations by providing precise predictive analytics, real-time monitoring, and proactive maintenance solutions. This study explores the benefits of integrating AI into building design and construction processes, highlighting key advantages such as improved durability, optimized resource efficiency, and heightened alignment with sustainability goals. As part of this study, the durability aspects are assessed through a strengths, weaknesses, opportunities, and threats analysis. In addition, a sustainability assessment is carried out, taking into account environmental, economic, and social factors, as well as alignment with the United Nations Sustainable Development Goals. Generally, AI-driven predictive models significantly enhance structural durability by forecasting material performance, corrosion risks, and building lifespans with high accuracy. Similarly, AI facilitates sustainable practices by optimizing energy consumption, integrating renewable energy systems efficiently, and significantly reducing carbon footprints. Despite these considerable benefits, implementing AI in the construction industry faces several challenges, including technological complexity, data management concerns, and industry readiness. Nonetheless, future directions emphasize continued development of user-friendly AI platforms, expanded industry collaboration, and rigorous exploration of AI’s transformative potential in sustainable and resilient architecture. Overall, AI is expected to redefine the built environment, delivering buildings that are durable and sustainably integrated within their ecological and social contexts.

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