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首页> 外文期刊>Arabian journal of geosciences >Ultrasonic velocity as a tool for geotechnical parameters prediction within carbonate rocks aggregates
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Ultrasonic velocity as a tool for geotechnical parameters prediction within carbonate rocks aggregates

机译:超声速度作为碳酸盐岩骨料中岩土参数预测的工具

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Production of rock aggregates is an important industrial activity. Quality estimation of rock aggregates is often performed with standardized mechanical tests which are intended for testing the products, not the original rock material. In fact, conventional tests dealing with mechanical performance of aggregates (abrasion and fragmentation resistance) are laborious tasks. They are time consuming and require tough laboratory procedures. Thus, there is a need for an effective method to estimate the quality of rock aggregates in the early stages of quarry prospection. This work aims to present a non-destructive ultrasonic technique to characterize mechanical strength of carbonate rock aggregates, mainly defined with Los Angeles (L.A.) and Micro-Deval (M.D.E.) measurements. For experimentation, porosity, density, L.A., and M.D.E. coefficients were calculated for 11 carbonate rock samples. Beforehand, ultrasonic measurements were taken on rock samples using longitudinal P wave with a frequency of 55 kHz. Regression analysis indicated that L.A. and M.D.E. coefficients were linearly correlated with ultrasonic velocity. Similar results were shown for porosity and density. Artificial neural networking was performed to establish a predictive model linking porosity density and ultrasonic velocity to L.A. or M.D.E. measurements. For our knowledge, this is the first paper of a correlation between L.A. and M.D.E. coefficients with ultrasonic velocity. Results have indicated the ability of this technique to elaborate an accurate approach for prediction of mechanical performances determined with laborious experiments on rock aggregates. This paper adds to the knowledge about the wide effectiveness of ultrasonic techniques to predict the quality of aggregates and proves its efficacy in estimating their quality in the early stages of its production, in field and in time, which presents economical benefits for rock aggregate industries.
机译:岩石骨料的生产是一个重要的工业活动。岩胚的质量估计通常具有标准化的机械测试,用于测试产品,而不是原始岩石材料。事实上,处理聚集体(磨损和碎裂性)的机械性能的常规测试是费力的任务。它们是耗时的,需要坚韧的实验室程序。因此,需要一种有效的方法来估计Quarry展望的早期阶段的岩胚的质量。这项工作旨在提出一种非破坏性的超声波技术,以表征碳酸盐岩聚集体的机械强度,主要用洛杉矶(L.A.)和微域(M.D.E.)测量定义。用于实验,孔隙率,密度,L.A.和M.D.E.计算11种碳酸盐岩石样品的系数。事先,使用纵向P波在岩石样品上拍摄超声波测量,频率为55 kHz。回归分析表明L.A.和M.D.E.系数与超声速度线性相关。示出了类似的结果用于孔隙率和密度。进行人工神经网络以建立将孔隙率密度和超声速度连接到L.A.或M.D.E的预测模型。测量。为了我们的知识,这是L.A.和M.D.E之间相关的第一种论文。具有超声速度的系数。结果表明,该技术能够详细阐述准确方法,以预测在岩骨聚集体上的艰苦实验确定的机械性能预测。本文介绍了关于超声技术的广泛有效性,以预测聚集体的质量,并证明其在其生产早期阶段的质量,现场和时间估算其质量,这提出了岩石骨料行业的经济效益。

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