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This article provides a comprehensive overview of key contributions in collaborative research with Professor Dan M. Frangopol. The work emphasizes life-cycle reliability analysis, deterioration modeling, disaster resilience, as well as climate change adaptation. These areas have been shaped by collaborative efforts that employ methodologies such as probabilistic- and risk-based approaches, Bayesian inference, and machine learning to assess and improve infrastructure performance under multiple hazards. Notable innovations include structural deterioration modeling and resilience strategies for multi-hazard environments, informed by experimental and computational studies. Several applications for infrastructure management are highlighted, incorporating advanced techniques for predicting and mitigating risks while integrating sustainability measures. The article concludes by addressing future challenges in structural and life-cycle engineering, advocating for a holistic approach to sustainable and resilient infrastructure systems, reflecting the contributions of Professor Frangopol to advancing this field.
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Mitsuyoshi Akiyama (2025) studied this question.
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