Estimation of uniaxial compressive strength of North Algeria sedimentary rocks using density, porosity, and Schmidt hardness

被引:1
|
作者
R. Hebib
D. Belhai
B. Alloul
机构
[1] University of Sciences and Technology Houari Boumediene,Faculty of Earth Sciences and Country Planning
[2] Institute of Architecture and Earth Sciences. Ferhat Abbas Sétif University,undefined
来源
关键词
Petrography; Sandstones; Limestones; Correlations; Prediction; Coefficient of determination;
D O I
暂无
中图分类号
学科分类号
摘要
This study aims to establish new correlations to assess uniaxial compressive strength (UCS) of northern Algeria sedimentary rocks. This estimation is based on the measurements of density, porosity, and Schmidt hammer hardness. To achieve this goal, a geological and geotechnical characterization campaign was conducted on 19 types of sandstone and carbonate rocks which have been collected from different geological areas of the Maghrebides chain. Petrographic analyses were conducted to identify the geological characteristics of each kind of rock. Subsequently, physico-mechanical tests (i.e., density, porosity, hardness, and uniaxial compressive strength) were carried out for all the sampled rocks. The results were then used to develop correlations between UCS values and the other parameter values determined. Finally, the UCS predictive equations which have the best predictive powers (coefficient of determination R2 of 0.75 to 0.94) were discussed taking into account the geological specificities of the rocks, and then compared to similar studies developed by other authors in different areas of the world.
引用
收藏
相关论文
共 50 条
  • [31] Comparison of models for estimating uniaxial compressive strength of some sedimentary rocks from Qom Formation
    Seyed Hossein Jalali
    Mojtaba Heidari
    Hassan Mohseni
    Environmental Earth Sciences, 2017, 76
  • [32] Estimation of uniaxial compressive strength based on P-wave and Schmidt hammer rebound using statistical method
    Behnaz Minaeian
    Kaveh Ahangari
    Arabian Journal of Geosciences, 2013, 6 : 1925 - 1931
  • [33] Estimating uniaxial compressive strength of rocks using genetic expression programming
    Ozbek, Ahmet
    Unsal, Mehmet
    Dikec, Aydin
    JOURNAL OF ROCK MECHANICS AND GEOTECHNICAL ENGINEERING, 2013, 5 (04) : 325 - 329
  • [34] Estimating uniaxial compressive strength of rocks using genetic expression programming
    Ahmet Ozbek
    Mehmet Unsal
    Aydin Dikec
    Journal of Rock Mechanics and Geotechnical Engineering, 2013, 5 (04) : 325 - 329
  • [35] Estimation of uniaxial compressive strength of shale using indentation testing
    Cheshomi, Akbar
    Hajipour, Golnaz
    Hassanpour, Jafar
    Dashtaki, Bahman Baga
    Firouzei, Yavar
    Sheshde, Ebrahim Ahmadi
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2017, 151 : 24 - 30
  • [36] Application of soft computing methods to estimate uniaxial compressive strength and elastic modulus of soft sedimentary rocks
    Niaz Muhammad Shahani
    Xigui Zheng
    Cancan Liu
    Peng Li
    Fawad Ul Hassan
    Arabian Journal of Geosciences, 2022, 15 (5)
  • [37] Estimation of uniaxial compressive strength of pyroclastic rocks (Cappadocia, Turkey) by gene expression programming
    İsmail İnce
    Ali Bozdağ
    Mustafa Fener
    Sair Kahraman
    Arabian Journal of Geosciences, 2019, 12
  • [38] Estimation of uniaxial compressive strength of pyroclastic rocks (Cappadocia, Turkey) by gene expression programming
    Ince, Ismail
    Bozdag, Ali
    Fener, Mustafa
    Kahraman, Sair
    ARABIAN JOURNAL OF GEOSCIENCES, 2019, 12 (24)
  • [39] A new empirical formula for evaluating uniaxial compressive strength using the Schmidt hammer test
    Wang, Min
    Wan, Wen
    INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2019, 123
  • [40] Applying soft computing methods to predict the uniaxial compressive strength of rocks from schmidt hammer rebound values
    Hadi Fattahi
    Computational Geosciences, 2017, 21 : 665 - 681