A prognostic model of side friction of rock bolt anchoring section based on associated flow law

IF 1.1 4区 综合性期刊 Q3 MULTIDISCIPLINARY SCIENCES Kuwait Journal of Science Pub Date : 2025-04-01 Epub Date: 2025-01-14 DOI:10.1016/j.kjs.2025.100374
Bin Zheng , Mahmoud Bayat , Yehui Shi , Maosen Cao , Yazhou Jiang , Xiangdong Qian , Dragoslav Sumarac
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Abstract

The distribution of side friction in the elastic stage can be obtained according to the Mindlin solution and its related derivative methods. Nevertheless, owing to the limitations of these methods, they cannot predict side friction in the plastic stage. In order to accurately and reliably characterize the distribution of frictional stress along the anchorage section of the interface plastic deformation side, at present, side friction in the plastic stage is mainly predicted by establishing a nonlinear bond-slip model. However, the physical meaning of some parameters in the existing bond-slip model is ambiguous, and these parameters need to be obtained by fitting measured data from the pull-out test, which cannot be solved directly according to actual working conditions. Since the expansion of soil around the anchor in the plastic stage meets the associated flow law, a new prediction model of side friction distribution in the plastic stage is established in this paper based on the rule. Compared with the measured data of several groups of tests and prediction results of the Mindlin solution, it is found that the model proposed shows good accuracy and stability in predicting side friction in the plastic stage.
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基于关联流动规律的锚杆锚固段侧摩擦预测模型
根据Mindlin解及其相关的导数方法,可以得到弹性阶段侧摩擦的分布。然而,由于这些方法的局限性,它们不能预测塑性阶段的侧摩擦。为了准确、可靠地表征界面塑性变形侧锚固截面上的摩擦应力分布,目前主要通过建立非线性粘结滑移模型来预测塑性阶段的侧摩擦。但现有黏结滑移模型中某些参数的物理意义不明确,需要通过拔出试验的实测数据拟合得到,无法根据实际工况直接求解。由于锚杆塑性阶段锚杆周围土体的膨胀满足关联流动规律,本文在此基础上建立了新的锚杆塑性阶段侧摩阻力分布预测模型。将多组试验的实测数据与Mindlin解的预测结果进行比较,发现所提出的模型在预测塑性阶段侧摩擦方面具有较好的准确性和稳定性。
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来源期刊
Kuwait Journal of Science
Kuwait Journal of Science MULTIDISCIPLINARY SCIENCES-
CiteScore
1.60
自引率
28.60%
发文量
132
期刊介绍: Kuwait Journal of Science (KJS) is indexed and abstracted by major publishing houses such as Chemical Abstract, Science Citation Index, Current contents, Mathematics Abstract, Micribiological Abstracts etc. KJS publishes peer-review articles in various fields of Science including Mathematics, Computer Science, Physics, Statistics, Biology, Chemistry and Earth & Environmental Sciences. In addition, it also aims to bring the results of scientific research carried out under a variety of intellectual traditions and organizations to the attention of specialized scholarly readership. As such, the publisher expects the submission of original manuscripts which contain analysis and solutions about important theoretical, empirical and normative issues.
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