Application of Machine Learning and Multivariate Statistics to Predict Uniaxial Compressive Strength and Static Young’s Modulus Using Physical Properties under Different Thermal Conditions
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- Liang Chen & Xianbiao Mao & Peng Wu, 2020. "Effect of High Temperature and Inclination Angle on Mechanical Properties and Fracture Behavior of Granite at Low Strain Rate," Sustainability, MDPI, vol. 12(3), pages 1-25, February.
- Wei Zhang & Tianyi Wang & Dongsheng Zhang & Jiajia Tang & Peng Xu & Xu Duan, 2020. "A Comprehensive Set of Cooling Measures for the Overall Control and Reduction of High Temperature-Induced Thermal Damage in Oversize Deep Mines: A Case Study," Sustainability, MDPI, vol. 12(6), pages 1-18, March.
- Mohamed Elgharib Gomah & Guichen Li & Changlun Sun & Jiahui Xu & Sen Yang & Jinghua Li, 2022. "On the Physical and Mechanical Responses of Egyptian Granodiorite after High-Temperature Treatments," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
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- Jinrui Zhang & Chuanqi Li & Tingting Zhang, 2023. "An Assessment of the Mobility of Toxic Elements in Coal Fly Ash Using the Featured BPNN Model," Sustainability, MDPI, vol. 15(23), pages 1-18, November.
- Sajjad Hussain & Naseer Muhammad Khan & Muhammad Zaka Emad & Abdul Muntaqim Naji & Kewang Cao & Qiangqiang Gao & Zahid Ur Rehman & Salim Raza & Ruoyu Cui & Muhammad Salman & Saad S. Alarifi, 2022. "An Appropriate Model for the Prediction of Rock Mass Deformation Modulus among Various Artificial Intelligence Models," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
- Xiaohua Ding & Mehdi Jamei & Mahdi Hasanipanah & Rini Asnida Abdullah & Binh Nguyen Le, 2023. "Optimized Data-Driven Models for Prediction of Flyrock due to Blasting in Surface Mines," Sustainability, MDPI, vol. 15(10), pages 1-20, May.
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Keywords
thermal effect prediction model; uniaxial compressive strength; static Young’s modulus; artificial neural network; multilinear regression;All these keywords.
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