Study on comprehensive rating of integrity index Kv for CHN-BQ method based on cloud model

IF 6.7 1区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Tunnelling and Underground Space Technology Pub Date : 2024-12-14 DOI:10.1016/j.tust.2024.106305
Qi Zhang, Yixin Shen, Hehua Zhu, Xiaojun Wang, Xiaojun Li, Yuechao Pei
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Abstract

The basic quality (CHN-BQ) method is a national standard for rock mass classification in China. The integrity index Kv in the CHN-BQ method can be determined by the acoustic wave test and quantitative or qualitative approaches, which are flexible and need to be controlled in the determination. This is not sufficiently concise compared with other widely used classifications. Inspired by the RMR (Rock mass rating) classification, a comprehensive rating of Kv is required to determine the index directly as an alternative approach. In this study, the cloud model is adopted to obtain quantitative results from the qualitative evaluation of the interconnection degree of structural planes. Then the cloud model is further used to obtain quantitative results of rock mass integrity by combining the interconnection degree and the mean spacing of structural planes. Based on quantitative results of the interconnection degree and rock mass integrity and the quantitative correspondence between the volume joint number Jv and Kv, a comprehensive rating of Kv for the CHN-BQ method is proposed by referring to the RMR, in which the geometric and physico-mechanical properties of rock mass integrity account for 55 and 45 points, respectively. The comprehensive rating is validated by quantitative results of the interconnection degree and rock mass integrity, as well as the effective samples generated by Monte Carlo simulation methods. The results of the comprehensive rating agree well with quantitative results, with a maximum relative error of 11.3%. The Kvt assessed by the 30% quantitative approach and 70% qualitative approach is highly consistent with Kvc determined by the comprehensive rating, with an average relative error of 13%. The results demonstrate that the comprehensive rating of Kv reasonably combines quantitative and qualitative approaches. To address the fuzzy uncertainty of stepped ratings at rating boundaries, the fuzzy comprehensive rating of Kv is proposed based on the Mamdani fuzzy inference. Finally, the comprehensive rating of Kv and its fuzzy version are applied to 95 excavated surfaces which are conducted in detailed geological investigations in the Mingtangshan tunnel. The Kvc and FKvc obtained by comprehensive rating and fuzzy comprehensive rating of Kv accurately approximate the measured Kvm by the acoustic wave test, with average relative errors of 9.80% and 7.01%. The rock mass basic quality index BQ and the modified index [BQ] obtained by the comprehensive rating and the fuzzy version almost coincide with those obtained by field tests, with average relative errors of less than 4%. To sum up, the comprehensive rating of Kv, especially after the fuzzy inference, can conveniently classify the rock mass and guide the construction.
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基于云模型的 CHN-BQ 法完整性指数 Kv 综合评级研究
基本质量(CHN-BQ)法是中国岩体分类的国家标准。CHN-BQ 法中的完整性指标 Kv 可通过声波测试、定量或定性的方法确定,具有一定的灵活性,在确定时需要加以控制。这与其他广泛使用的分类方法相比不够简洁。受 RMR(岩石质量等级)分类法的启发,作为一种替代方法,需要对 Kv 进行综合评级,以直接确定指数。本研究采用云模型,从结构平面互连度的定性评价中获得定量结果。然后,结合结构平面互连度和平均间距,进一步利用云模型获得岩体完整性的定量结果。根据互联度和岩体完整性的定量结果以及体积节理数 Jv 与 Kv 的定量对应关系,参照 RMR 提出了 CHN-BQ 法的 Kv 综合评分,其中岩体完整性的几何特性和物理力学特性分别占 55 分和 45 分。互联度和岩体完整性的定量结果以及蒙特卡罗模拟方法生成的有效样本验证了综合评级。综合评级结果与定量结果吻合良好,最大相对误差为 11.3%。30% 定量方法和 70% 定性方法评估的 Kvt 与综合评级确定的 Kvc 高度一致,平均相对误差为 13%。结果表明,Kv 的综合评定合理地结合了定量和定性方法。为了解决分级评定在评定边界上的模糊不确定性,提出了基于 Mamdani 模糊推理的 Kv 模糊综合评定。最后,将 Kv 综合评级及其模糊版本应用于明堂山隧道详细地质调查中的 95 个开挖面。通过 Kv 综合评分和模糊 Kv 综合评分得到的 Kvc 和 FKvc 与声波测试测量的 Kvm 精确近似,平均相对误差分别为 9.80% 和 7.01%。综合评分和模糊评分得到的岩体基本质量指数 BQ 和修正指数[BQ]与现场试验得到的基本质量指数 BQ 和修正指数[BQ]基本吻合,平均相对误差小于 4%。综上所述,Kv 综合评分,尤其是经过模糊推理后的评分,可以方便地对岩体进行分类,指导施工。
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来源期刊
Tunnelling and Underground Space Technology
Tunnelling and Underground Space Technology 工程技术-工程:土木
CiteScore
11.90
自引率
18.80%
发文量
454
审稿时长
10.8 months
期刊介绍: Tunnelling and Underground Space Technology is an international journal which publishes authoritative articles encompassing the development of innovative uses of underground space and the results of high quality research into improved, more cost-effective techniques for the planning, geo-investigation, design, construction, operation and maintenance of underground and earth-sheltered structures. The journal provides an effective vehicle for the improved worldwide exchange of information on developments in underground technology - and the experience gained from its use - and is strongly committed to publishing papers on the interdisciplinary aspects of creating, planning, and regulating underground space.
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