The increasing risk of accidental and/or intentional explosions has highlighted the need for reliable computational tools capable of predicting the damage evolution and collapse behavior of reinforced concrete (RC) structures subjected to blast loading. Although conventional finite element approaches can accurately cap...
F. Mukhtar, Mohammed Shehadah, C. A. Duarte· Proceedings of International...· 0 citations
The growing demand for sustainable construction technologies has accelerated research into 3D printed concrete (3DPC) materials as a resource-efficient and digitally controlled construction technique. However, achieving the required balance between flowability, buildability, and structural stability by using synthetic...
A. Hosan, M. Haque, F. Mukhtar et al.· Proceedings of International...· 0 citations
This study investigates the feasibility of incorporating locally sourced construction and demolition waste (CDW) as fine aggregate replacements in 3D concrete printing (3DCP) mixes. Three mortar mixes were developed: a 100% natural sand reference mix, and two recycled mixes replacing natural sand with processed CDW at...
M. Osta, F. Mukhtar· Proceedings of International...· 0 citations
A critical review of recent advances in ML for assessing the fire performance of bridges is presented and current challenges, including the limited availability of bridge fire databases, model generalization, interpretability, uncertainty quantification, and practical implementation are critically discussed.
Paul O. Awoyera, F. Mukhtar· Fire technology· 0 citations
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