CONTENTS
Volume 32, Number 6, 2023
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Thermal post-buckling and primary resonance of porous functionally graded beams: Effect of elastic foundations and geometric imperfection
Jia-Qin Xu and Gui-Lin She
pages 543-551.
DOI: 10.12989/cac.2023.32.6.543
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Buckling and forced oscillation of organic nanoplates taking the structural drag coefficient into account
Dao Minh Tien, Do Van Thom, Nguyen Thi Hai Van, Abdelouahed Tounsi, Phung Van Minh and Dao Nhu Mai
pages 553-565.
DOI: 10.12989/cac.2023.32.6.553
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Numerical modelling of effective thermal conductivity of hardened cement paste
Cheng Liu, Qiang Liu, Jianming Gao and Yunsheng Zhang
pages 567-576.
DOI: 10.12989/cac.2023.32.6.567
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Intelligent prediction of engineered cementitious composites with limestone calcined clay cement (LC3-ECC) compressive strength based on novel machine learning techniques
Enming Li, Ning Zhang, Bin Xi, Vivian WY Tam, Jiajia Wang and Jian Zhou
pages 577-594.
DOI: 10.12989/cac.2023.32.6.577
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Unified prediction models for mechanical properties and stress-strain relationship of dune sand concrete
Said Ikram Sadat, Fa-xing Ding, Fei Lyu, Naqi Lessani, Xiaoyu Liu and Jian Yang
pages 595-606.
DOI: 10.12989/cac.2023.32.6.595
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Comparative studies of different machine learning algorithms in predicting the compressive strength of geopolymer concrete
Sagar Paruthi, Ibadur Rahman and Asif Husain
pages 607-613.
DOI: 10.12989/cac.2023.32.6.607
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Automatic crack detection of dam concrete structures based on deep learning
Zongjie Lv, Jinzhang Tian, Yantao Zhu and Yangtao Li
pages 615-623.
DOI: 10.12989/cac.2023.32.6.615
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Numerical data-driven machine learning model to predict the strength reduction of fire damaged RC columns
HyunKyoung Kim, Hyo-Gyoung Kwak and Ju-Young Hwang
pages 625-637.
DOI: 10.12989/cac.2023.32.6.625