Prediction of Uniaxial Compressive Strength of Rocks from Their Physical Properties Using Soft Computing Techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Materials Chemistry,Metals and Alloys,Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s42461-023-00884-1.pdf
Reference39 articles.
1. ASTM D4543 (1985) Standard practices for preparing rock core as cylindrical test specimens and verifying conformance to dimensional and shape tolerances. https://compass.astm.org/document/?contentCode=ASTM%7CD4543-19%7Cen-US
2. ISRM (1981) Suggested methods for geophysical logging of borehole. Int JRock Mech Min Sci Geomech Abstr 1981(18):67–84
3. Mahdiyar A, Armaghani DJ, Marto A, Nilashi M, Ismail S (2019) Rock tensile strength prediction using empirical and soft computing approaches. Bull Eng Geol Environ 78:4519–4531. https://doi.org/10.1007/S10064-018-1405-4
4. Mishra DA, Basu A (2012) Use of the block punch test to predict the compressive and tensile strengths of rocks. Int J Rock Mech Min Sci 51:119–127. https://doi.org/10.1016/J.IJRMMS.2012.01.016
5. Basu AR, Ainain N, Salim M, Basu A, Aydin A (2006) Predicting uniaxial compressive strength by point load test: significance of cone penetration. Rock Mech Rock Engng:483–490. https://doi.org/10.1007/s00603-006-0082-y
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