Estimating dynamic compressive strength of rock subjected to freeze-thaw weathering by data-driven models and non-destructive rock properties-Reference-Cited by-同舟云学术

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Estimating dynamic compressive strength of rock subjected to freeze-thaw weathering by data-driven models and non-destructive rock properties

Published:2024-02-05 Issue: Volume: Page:1-24
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Zhou Shengtao¹²,Lei Yu¹,Zhang Zong-Xian²,Luo Xuedong¹,Aladejare Adeyemi²,Ozoji Toochukwu²

Affiliation:

1. Faculty of Engineering, China University of Geosciences, Wuhan, China

2. Oulu Mining School, University of Oulu, Oulu, Finland

Funder

National Natural Science Foundation of China

Fundamental Research Funds for National University, China University of Geosciences

Hubei Key Laboratory of Blasting Engineering Foundation

Knowledge Innovation Program of Wuhan-Basic Research

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2313569

Reference86 articles.

1. Zhang ZX. Rock fracture and blasting: theory and applications. Kidlington, Oxford: Elsevier; 2016.

2. Decay of sandstone subjected to a combined action of repeated freezing–thawing and salt crystallization

3. The effect of freeze–thaw cycles on physical and mechanical properties of granitoid hard rocks

4. A review on freeze-thaw action and weathering of rocks

5. Uniaxial Compression Fractal Damage Constitutive Model of Rock Subjected to Freezing and Thawing

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of an Artificial Neural Network Using Four Novel Metaheuristic Algorithms for the Prediction of Rock Fragmentation in Mine Blasting;Journal of The Institution of Engineers (India): Series D;2024-06-21

2. Predicting corrosion behaviour of steel reinforcement in eco-friendly coral aggregate concrete based on hybrid machine learning methods;Nondestructive Testing and Evaluation;2024-04-30

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