Fractal evolution characteristics of fracture meso-damage in uniaxial compression rock masses using bonded block model
Author:
Affiliation:
1. Deep Mining Laboratory of Shandong Gold Group Co., Ltd., Deep Mining Laboratory of Shandong Gold Group Co., Ltd.,
2. University of South China
3. CCFEB Civil Engineering Co., Ltd.,
Abstract
In the realm of underground mining engineering, an investigation into the failure mode of deep fractured rock masses and their corresponding acoustic emission signal characteristics is conducted via uniaxial compression tests. Subsequently, a fractal damage renormalization group mechanical model is formulated to elucidate the behavior of such fractured rock masses. Employing the BBM numerical simulation method, the fracture process of synthetic rock samples is analyzed, thereby confirming the efficacy of the aforementioned mechanical model. The numerical simulations underscore that the expansion of fractures fundamentally underpins the deterioration of rock mass strength. A decrease in peak load correlates with an increase in fracture fractal dimension, resulting in a 14.2% reduction in compressive strength alongside an approximate 8.7% rise in average fracture fractal dimension. Comparison between tetrahedral and Voronoi block synthetic rock samples reveals the former's superior aptitude in depicting the fracture behavior of fractured rock masses, particularly in terms of simulating acoustic emission characteristics and failure modes. Moreover, the variation in fracture fractal dimension with the hole defect's position is observed, with its maximum value aligning with the vertical hole defect axis. This observation underscores the potential utility of visually monitoring deep rock fracture dynamics as a foundational element for quantitatively evaluating fracture damage and strength degradation in deep rock formations.
Publisher
Springer Science and Business Media LLC
Reference41 articles.
1. Opportunities and challenges in deep mining: a brief review;Ranjith PG;Engineering-PRC,2017
2. Deep mining: a rock engineering challenge;Wagner H;Rock. Mech. Rock. Eng.,2019
3. Non-explosive mining and waste utilization for achieving green mining in underground hard rock mine in China;Wang SF;T. Nonferr. Metal. Soc.,2019
4. Ground behavior analysis, support system design and construction strategies in deep hard rock mining–Justified in Western Australian's mines;Rahimi B;J. Rock. Mech. Geotech,2020
5. New damage evolution model of rock material;Gao W;Appl. Math. Model.,2020
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