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Long-term abrasion of rocks assessed by micro-Deval tests and estimation of the abrasion process of rock types based on strength parameters
Engineering Geology ( IF 7.4 ) Pub Date : 2021-01-09 , DOI: 10.1016/j.enggeo.2021.105996
Balázs Czinder , Balázs Vásárhelyi , Ákos Török

Testing long-term properties of aggregates requires time consuming laboratory tests. Alternatively, mathematical models can also be used to describe the abrasion process of aggregates. The paper uses another approach it links long-term abrasion to rock mechanical properties to facilitate a quick assessment of long term behavior of aggregates. It explores the long-term durability of aggregates through the application of long-term micro-Deval tests, extending the validity range of the relevant European standard (EN 1097-1:2012), that only requires 12,000 rotations for quality testing. Seven andesite lithotypes obtained from four Hungarian quarries were analyzed. The long-term micro-Deval coefficients were determined by increasing the number of rotations from the standardized 12,000 until the material loss reached the value of 99 m%. With some andesites, only 240,000 rotations were needed, while other ones required 2,000,000 rotations to a material loss of 80 m%. Regression analyses were used to find suitable models that describe the behaviour of the aggregates subjected to abrasion. The test results and the regression analyses supported previous studies suggesting that exponential functions are suitable to model abrasion. The abrasion model parameters introduced here were compared with the rock mechanical parameters of andesites and other lithotypes. It was found, that the newly introduced abrasion parameter A, which is a material-dependent empirical parameter, correlates with the ratio of the uniaxial compressive strength and water absorption. The introduction of the abrasion parameter provides an easy-to-use tool for the description of the behavior of aggregates exposed to natural or artificial abrasive effects. The knowledge of the abrasion process is essential for the lifetime analyses of crushed stones used as construction material or for the investigation of mass change of the grains in sedimentary systems such as riverbeds or coastal zones.



中文翻译:

通过微时代试验评估岩石的长期磨损,并根据强度参数估算岩石的磨损过程

测试集料的长期特性需要耗时的实验室测试。另外,数学模型也可以用来描述骨料的磨损过程。本文使用了另一种方法,将长期磨损与岩石力学性能联系起来,以便快速评估骨料的长期行为。它通过应用长期微观检验测试来探索集料的长期耐用性,扩展了相关欧洲标准(EN 1097-1:2012)的有效范围,该标准仅需进行12,000次旋转即可进行质量测试。分析了从四个匈牙利采石场获得的七个安山岩岩型。通过增加旋转次数(从标准的12,000转直至材料损失达到99 m%的值)来确定长期的微德瓦尔系数。对于某些安山岩,仅需要旋转240,000次,而其他安山岩则需要旋转2,000,000次,因此材料损失为80 m%。回归分析用于找到合适的模型,这些模型描述了遭受磨损的骨料的行为。测试结果和回归分析支持以前的研究,表明指数函数适合于建模磨损。将这里介绍的磨损模型参数与安山岩和其他岩石类型的岩石力学参数进行了比较。发现,新引入的磨损参数 测试结果和回归分析支持以前的研究,表明指数函数适合于建模磨损。将这里介绍的磨损模型参数与安山岩和其他岩石类型的岩石力学参数进行了比较。发现,新引入的磨损参数 测试结果和回归分析支持以前的研究,表明指数函数适合于建模磨损。将这里介绍的磨损模型参数与安山岩和其他岩石类型的岩石力学参数进行了比较。发现,新引入的磨损参数A是材料相关的经验参数,它与单轴抗压强度和吸水率之比相关。磨耗参数的引入为描述暴露于自然或人工磨蚀作用的骨料的行为提供了易于使用的工具。磨损过程的知识对于用作建筑材料的碎石的寿命分析或调查沉积物(例如河床或沿海地区)中谷物的质量变化至关重要。

更新日期:2021-01-16
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