Prediction of the Uniaxial Compressive Strength of Rocks by Soft Computing Approaches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geology,Soil Science,Geotechnical Engineering and Engineering Geology,Architecture
Link
https://link.springer.com/content/pdf/10.1007/s10706-023-02473-x.pdf
Reference115 articles.
1. Abdi Y, Garavand AT, Sahamieh RZ (2018) Prediction of strength parameters of sedimentary rocks using artificial neural networks and regression analysis. Arab J Geosci. https://doi.org/10.1007/s12517-018-3929-0
2. Aboutaleb S, Bagherpour R, Behnia M, Aghababaei M (2017) Combination of the physical and ultrasonic tests in estimating the uniaxial compressive strength and young’s modulus of intact limestone rocks. Geotech Geol Eng 35:3015–3023
3. Aboutaleb S, Behnia M, Bagherpour R, Bluekian B (2018) Using non-destructive tests for estimating uniaxial compressive strength and static Young’s modulus of carbonate rocks via some modeling techniques. Bull Eng Geol Environ 77:1717–1728
4. Ali E, Guang W, Ibrahim A (2014) Empirical relations between compressive strength and microfabric properties of amphibolites using multivariate regression, fuzzy inference and neural networks: a comparative study. Eng Geol 183:230–240
5. Aliyu MM, Shang J, Murphy W, Lawrence JA, Collier R, Kong F, Zhao Z (2019) Assessing the uniaxial compressive strength of extremely hard cryptocrystalline flint. Int J Rock Mech Min Sci 113:310–321
Cited by 8 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. A series of regression models to predict the weathering index of tropical granite rock mass;Environmental Earth Sciences;2024-08-29
2. Predicting uniaxial compressive strength of building stone based on index tests: Correlations, validity, reliability, and unification;Construction and Building Materials;2024-08
3. Estimation of static Young’s modulus of sandstone types: effective machine learning and statistical models;Earth Science Informatics;2024-07-04
4. Advanced machine learning approaches for uniaxial compressive strength prediction of Indian rocks using petrographic properties;Multiscale and Multidisciplinary Modeling, Experiments and Design;2024-07-03
5. A laboratory study on the durability of limestone wastes in harsh environments for their suitability as aggregate in concrete;Case Studies in Construction Materials;2024-07
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3