共查询到13条相似文献,搜索用时 15 毫秒
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充分认识岩石的地质本质性是准确描述其物理力学特性的桥梁。岩石的地质本质性涵盖了岩石的物质性、结构性和赋存状态3个方面的内容。在综合考虑岩石上述3方面特征及其与单轴试验联系的基础上,以矿物组成、密度、纵波波速和含水状态为基本指标,采用回归和BP神经网络的方法对碳酸盐岩单轴抗压强度进行预测,并采用灰色关联分析法验证本研究所选用的预测基本指标的合理性。实例应用表明:本次采用的回归方法对该类岩石强度预测的最大误差为15.3%,BP神经网络方法预测的最大误差为8.5%。预测误差出现的原因为碳酸盐岩物质组成复杂,所选预测基本指标是实际情况的简化,同时泥灰质岩石所具有的膨胀性也导致实测和预测结果具有一定的差异。 相似文献
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利用静力触探护管,提出了一种新的承压水观测方法,通过现场试验证明该法在止水效果、孔口淤积、水位稳定时间、观测数据准确度上具有较大的优势。 相似文献
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点荷载测试岩石强度使用不规则试件的研究与探讨 总被引:2,自引:1,他引:2
为了在现场采用不规则试件测试岩石点荷载强度,在实验室和现场进行了相关的对比测试与分析研究。建立了点荷载强度公式;使用Grubbs准则取舍可疑数据,编制了计算机程序,对点荷载测试的可信度,强度比等进行了探讨。 相似文献
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The effective porosity, saturated sonic velocity and saturated uniaxial compressive strength were determined on a large number of Borrowdale Volcanic Group volcaniclastic core samples from three boreholes at Sellafield, Cumbria. The work formed part of the UK Nirex Limited site investigation into whether the Sellafield area could be suitable as a repository for intermediate and low level radioactive waste. Most of the intact samples were of low to very low effective porosity, had a high sonic velocity and were very strong to extremely strong. However, a proportion of values deviated significantly from this. Bivariate analysis showed a negative relationship exists between sonic velocity and effective porosity. The cross plots of these two parameters with uniaxial compressive strength showed a wide range of strength values for samples of low effective porosity and high sonic velocity. Six failure types were identified during the uniaxial compressive strength tests. The strongest samples tended to fail through the matrix and the weakest rock samples tended to fail through haematized material or along haematized veins. Effective porosity and sonic velocity measurements could not distinguish between those samples that failed through the matrix and those that failed along discrete narrow veins. The presence of narrow haematized veins has a major effect on the intact rock strength. 相似文献
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Fuzzy and Multiple Regression Modelling for Evaluation of Intact Rock Strength Based on Point Load, Schmidt Hammer and Sonic Velocity 总被引:4,自引:0,他引:4
Summary. Uniaxial Compressive Strength (UCS), considered to be one of the most useful rock properties for mining and civil engineering
applications, has been estimated from some index test results by fuzzy and multiple regression modelling. Laboratory investigations
including Uniaxial Compressive Strength (UCS), Point Load Index test (PL), Schmidt Hammer Hardness test (SHR) and Sonic velocity
(Vp) test have been carried out on nine different rock types yielding to 305 tested specimens in total. Average values along
with the standard deviations (Stdev) as well as Coefficients of variation (CoV) have been calculated for each rock type. Having
constructed the Mamdani Fuzzy algorithm, UCS of intact rock samples was then predicted using a data driven fuzzy model. The
predicted values derived from fuzzy model were compared with multi-linear statistical model. Comparison proved that the best
model predictions have been achieved by fuzzy modelling in contrast to multi-linear statistical modelling. As a result, the
developed fuzzy model based on point load, Schmidt hammer and sonic velocity can be used as a tool to predict UCS of intact
rocks. 相似文献
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软岩强度较低,结构松散,难以加工成标准试件测其单轴抗压强度,为解决这一工程实践难题,引入了日本的一种通过测试软岩针贯入指标间接推算其抗压强度的试验仪器——针贯入仪。首先简要地介绍了针贯入试验的仪器装置、操作过程、注意事项以及数据处理方法,然后运用该仪器在现场和室内分别对不同软岩进行强度测试。统计分析测试结果表明,测试数据离散性大小与岩性均一程度、结构面分布情况密切相关。最后,选取了一组软岩岩样进行针贯入和点荷载对比试验,计算得出两种试验结果相差不大。因此,采用针贯入仪测试软岩强度是合理可行的,可在软岩工程中推广使用。 相似文献