A Combined Non-Destructive Prediction Method for Evaluating the Uniaxial Compressive Strength of Rocks Under Freeze–Thaw Cycles-Reference-Cited by-同舟云学术

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A Combined Non-Destructive Prediction Method for Evaluating the Uniaxial Compressive Strength of Rocks Under Freeze–Thaw Cycles

Published:2022-04-22 Issue:10 Volume:47 Page:13365-13379
ISSN:2193-567X
Container-title:Arabian Journal for Science and Engineering
language:en
Short-container-title:Arab J Sci Eng

Author:

Su Zhouzhou,Tan Xianjun^ORCID,Chen Weizhong,Ma Wei,Zhang Chaoxuan,Xu Fei

Funder

female center for scientific and medical colleges, king saud university

the national outstanding youth science fund project of national natural science foundation of china

state key laboratory of drug research

state key laboratory of soil plant machinery system technology

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

https://link.springer.com/content/pdf/10.1007/s13369-022-06779-5.pdf

Reference56 articles.

1. Murali, G.; Vinodha, E.: Experimental and analytical study of impact failure strength of steel hybrid fibre reinforced concrete subjected to freezing and thawing cycles. Arab. J. Sci. Eng. 43(10), 5487–5497 (2018). https://doi.org/10.1007/s13369-018-3202-6

2. Shalabi, F.I.; Cording, E.J.; Al-Hattamleh, O.H.: Estimation of rock engineering properties using hardness tests. Eng. Geol. 90(3–4), 138–147 (2007). https://doi.org/10.1016/j.enggeo.2006.12.006

3. Baykasoglu, A.; Guellue, H.; Canakci, H., et al.: Prediction of compressive and tensile strength of limestone via genetic programming. Expert Syst. Appl. 35(1–2), 111–123 (2008). https://doi.org/10.1016/j.eswa.2007.06.006

4. Aliabadi, S.: Prediction of uniaxial compressive strength and modulus of elasticity for Travertine samples using regression and artificial neural networks. Min. Sci. Technol. (China). (2010). https://doi.org/10.1016/S1674-5264(09)60158-7

5. Kainthola, A.; Singh, P.K.; Verma, D., et al.: Prediction of strength parameters of himalayan rocks: a statistical and ANFIS approach. Geotech. Geol. Eng. 33(5), 1–24 (2015). https://doi.org/10.1007/s10706-015-9899-z

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