Vol. 1 No. 4 (2026)

Articles

Life-Cycle Performance Prediction and Optimization of Green Building Materials

Published 2026-08-07

  • Steven Ip
    • ,
  • Tracy Hoi-Yan Yiu

Steven Ip
Department of Architecture and Civil Engineering, School of Engineering, City University of Hong Kong, Hong Kong 999077, China

Tracy Hoi-Yan Yiu
Division of Building Science and Technology, College of Engineering, City University of Hong Kong, Hong Kong, China

Artificial Intelligence and Intelligent Systems Research, Volume 1, Issue 4, 2026 cover

Abstract

The rapid escalation of global urbanization and the corresponding increase in construction activities have placed an unprecedented burden on environmental resources and ecosystems. In response, green building materials have emerged as a critical pathway toward sustainable development in the civil engineering sector. However, the long-term performance of these materials often exhibits significant variability due to complex environmental interactions and inherent material heterogeneities. This paper presents a comprehensive academic investigation into the life-cycle performance prediction and optimization of green building materials. By systematically analyzing the degradation mechanisms and environmental impacts across the entire lifespan of these materials, from raw extraction to end-of-life disposal, a robust theoretical framework is established. A hybrid methodology combining empirical data assimilation and predictive modeling is deployed to evaluate critical performance indicators such as mechanical durability, thermal resistance, and embodied carbon reduction. The research further introduces multi-objective optimization strategies designed to balance ecological benefits with structural reliability and economic feasibility. Through detailed case studies involving recycled concrete aggregates and bio-based insulation panels, the efficacy of the proposed predictive and optimization frameworks is validated. The findings demonstrate that dynamic life-cycle assessments coupled with advanced optimization techniques can significantly enhance the long-term viability of green materials, providing essential guidelines for researchers, practitioners, and policymakers in the pursuit of sustainable infrastructure.

Keywords

Green Building Materials, Life-Cycle Assessment, Performance Prediction, Sustainability Optimization

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