AASHTO (1996) Standard specifications for highway bridges. American Association of State Highway and Transportation Officials, Washington, DC.
Aghda, S. M. F., Kianpour, M., Mohammadi, M. (2018) Estimation of uniaxial compressive strength and modulus of deformability of the Asmari limestone, using Neuro-Fuzzy system. Iranian Journal of Science and Technology, 42: 2005–2020.
Ahmed, W., Ahmad, N., Janjuhah, H. T., Islam, I., Sajid, M., Kontakiotis, G. (2023) The evaluation of non-destructive tests for the strength and physical properties of granite, marble, and sandstone: a case study from North Pakistan. Quaternary, 6: 4.
Ajalloeian, R., Jamshidi, A., Khorasani, R. (2024) Evaluating the effects of mineral grain size and mineralogical composition on the correlated equations between strength and Schmidt hardness of granitic rocks. Geotechnical and Geological Engineering, 42: 675–685.
Akbay, D. (2023) Investigating the accuracy of specimen shape for point load index test in predicting the uniaxial compressive strength for rocks using regression analysis and machine learning. Mining, Metallurgy and Exploration, 40: 2107–2115.
Alvarez, G. M., Babuska, R. (1999) Fuzzy model for the prediction of unconfined compressive strength of rock samples. International Journal of Rock Mechanics and Mining Sciences, 36: 339–349.
ASTM D7012–14 (2014) Standard test methods for compressive strength and elastic moduli of intact rock core specimens under varying states of stress.
and temperatures. ASTM International, West Conshohocken.
Diamantis, K., Fereidooni, D., Khajevand, R., Migiros, G. (2021) Effect of textural characteristics on engineering properties of some sedimentary rocks. Journal of Central South University, 28: 926–938.
Fereidooni, D. (2016) Determination of the geotechnical characteristics of hornfelsic rocks with a particular emphasison the correlation between physical and mechanical properties. Rock Mechanics and Rock Engineering, 49: 2595–2608.
Gokceoglu, C. (2022) A fuzzy triangular chart to predict the uniaxial compressive strength of the Ankara agglomerates from their petrographic composition. Engineering Geology, 66: 39–51.
Heidari, M., Mohseni, H., Jalali, S. H. (2018) Prediction of uniaxial compressive strength of some sedimentary rocks by fuzzy and regression models. Geotechnical and Geological Engineering, 36: 401–412.
Hudyma, N., Avar, B. B., Karakouzian, M. (2004) Compressive strength and failure modes of lithophysae-rich Topopah Spring Tuff specimens and analog models containing cavities. Engineering Geology, 73: 179–190.
ISRM (1981) In: Brown ET (ed) ISRM suggested: rock characterization, testing and monitoring methods. Pergamon, Oxford.
Jobli, A. F., Hampden, A. Z., Tawie, T. (2017) The role of ultrasonic velocity and Schmidt hammer hardness - The simple and economical non-destructive test for the evaluation of mechanical properties of weathered granite. AIP Conference Proceedings, 1875:030005.
Kahraman, S., Fener, M., Gunaydin, O. (2016) Estimating the uniaxial compressive strength of pyroclastic rocks from the slake durability index. Bulletin of Engineering Geology and the Environment, 76(3): 1107–1115.
Kallu, R., Roghanchi, P. (2015) Correlations between direct and indirect strength test methods. International Journal of Mining Science and Technology, 25(3): 355–360.
Khajevand, R. (2023a) Prediction of the uniaxial compressive strength of rocks by soft computing approaches. Geotechnical and Geological Engineering, 41: 3549–3574.
Khajevand, R. (2023b) Determining Dry and Saturated Strength of Rocks by Using the Schmidt Hammer. Iranian Journal of Science, 47: 779–790.
Kianpour, M., Sayari, M., Oromiea, A. (2012) A fuzzy model to predict the uniaxial compressive strength and the modulus of elasticity of Shemshak Formation Shales. Scientific Quarterly Journal of Geosciences, 21(83): 103–110 (in Persian with English abstract).
Lashkaripour, G. R. (2002) Predicting mechanical properties of mudrock from index parameters. Bulletin of Engineering Geology and the Environment, 61: 73–77.
Malik, M. H., Rashid, S. (1997) Correlation of some engineering geological properties of the Murree formation at lower Topa (Murree district), Pakistan. Geological Bulletin, 30: 69–81.
Malkawi, D. A., Rabab'ah, S. R., Sharo, A. A., Aldeeky, H., Al-Souliman, G. K., Saleh, H. O. (2023) Enhancing of uniaxial compressive strength of travertine rock prediction through machine learning and multivariate analysis. Results in Engineering, 20: 101593.
Mishra, D. A., Basu, A. (2012) Use of the block punch test to predict the compressive and tensile strengths of rocks. International Journal of Rock Mechanics and Mining Sciences, 51: 119–127.
Najibi, A. R., Ghafoori, M., Lashkaripour, G. R., Asef, M. R. (2015) Empricla relations between strength static and dynamic elastic properties of Asmari and Sarvak limestones, two main oil reservoirs in Iran. Journal of Petroleum Science and Engineering, 126: 78–82.
Rabat, A., Cano, M., Tomas, R., Tamayo, A.E., Alejano, L. R. (2020) Evaluation of strength and deformability of soft sedimentary rocks in dry and saturated conditions through needle penetration and point load tests: a comparative study. Rock Mechanics and Rock Engineering, 53 (6): 2707–2726.
Sharma, L. K., Vishal, V., Singh, T. N. (2017) Developing novel models using neural networks and fuzzy systems for the prediction of strength of rocks from key geomechanical properties. Measurement, 102: 158–169.
Tugrul, A., Gurpinar, O. (1997) A proposed weathering classification for basalts and their engineering properties (Turkey). Bulletin of Engineering Geology and the Environment, 55: 139–149.
Tugrul, A., Zarif, I. H. (1999) Correlation of mineralogical and textural characteristics with engineering properties of selected granitic rocks from Turkey. Engineering Geology, 51(4): 303–317.
Valido, J., Caceres, J. M., Sousa, L. (2024) Mechanical properties of ignimbrites of Tenerife Island employed as building stone and their correlation with some physical properties. Journal of Building Engineering, 82: 108222.
Yilmaz, I., Yuksek, G. (2009) Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models. International Journal of Rock Mechanics and Mining Sciences, 46: 803–810.
Zalooli, A., Khamehchiyan, M., Nikudel, M. R., Jamshidi, A. (2017) Deterioration of travertine samples due to magnesium sulfate crystallization pressure: Examples from Iran. Geotechnical and Geological Engineering, 35: 463–473.
Zhang, J., Shen, Y., Yang, G., Zhang, H., Wang, Y., Hou, X., Sun, Q., Li, G. (2021) Inconsistency of changes in uniaxial compressive strength and P-wave velocity of sandstone after temperature treatments. Journal of Rock Mechanics and Geotechnical Engineering, 13: 143–153.
Zorlu, K., Ulusay, R., Ocakoglu, F., Gokceoglu, C., Sonmez, H. (2004) Predicting intact rock properties of selected sandstones using petrographic thin-section data. International Journal of Rock Mechanics and Mining Sciences, 41: 93–98.