CONTENTS
Volume 37, Number 3, 2026
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Forecasting asphalt concrete's dynamic modulus with a hybrid machine learning approaches
Liu Wei, Lu Xinrong, Chen Liang, Deng Daping, Mehdi Kouhdarag, Liang Tongxiang
pages 405-433.
DOI: 10.12989/cac.2026.37.3.405
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Tensile behavior and constitutive model of ultra-high performance concrete utilizing iron tailings
Rui Zhang, Jianwei Chen, Zhanwen Wang, Wei Zhang, Deuckhang Lee
pages 435-461.
DOI: 10.12989/cac.2026.37.3.435
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Predictive model for carbonation depth of limestone filler concrete using a deep learning algorithm
Hocine Ayat, Ali Benzaamia, Mohamed Ghrici
pages 463-480.
DOI: 10.12989/cac.2026.37.3.463
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Determination of appropriate intensity measures for probabilistic seismic demand modeling of single-story precast RC industrial building
Ali Yesilyurt
pages 481-506.
DOI: 10.12989/cac.2026.37.3.481
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Machine learning-based predictive models for maximum lateral strength CFST column under axial loading and lateral cyclic loading
Mai-Suong T. Nguyen, Seung-Eock Kim
pages 507-522.
DOI: 10.12989/cac.2026.37.3.507
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Experimental, genetic algorithm optimization and prediction of mechanical properties of normal and self-compacting concrete with varying ratios of gravel, basalt, and dolomite as coarse aggregate
Alaa Atwa, Youssef Lattif, Osman Hamdy
pages 523-545.
DOI: 10.12989/cac.2026.37.3.523
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Elastic analytical modeling of functionally graded beams subjected to cubic loading profiles
Mohamed Nassah, Lazreg Hadji
pages 547-564.
DOI: 10.12989/cac.2026.37.3.547
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Numerical assessment of RC T-beams strengthened in the negative moment region with UHPC overlays
Yanuar Haryanto, Hsuan-Teh Hu, Fu-Pei Hsiao, Laurencius Nugroho, Ming-Hang Wu, Pu-Wen Weng, Chia-Chen Lin
pages 565-594.
DOI: 10.12989/cac.2026.37.3.565