Effects of rock water content on CERCHAR Abrasivity Index

被引:45
作者
Abu Bakar, M. Z. [1 ]
Majeed, Y. [2 ]
Rostami, J. [3 ]
机构
[1] Univ Engn & Technol, Dept Geol Engn, Lahore, Pakistan
[2] Univ Engn & Technol, Min Engn Dept, Lahore, Pakistan
[3] Colorado Sch Mines, Dept Min Engn, Golden, CO 80401 USA
关键词
CERCHAR Abrasivity Index (CAI); Quartz content (QC); Equivalent quartz content (EQC); Schimazek's F-value; Rock abrasivity index (RAI); Uniaxial compressive strength (UCS); UNIAXIAL COMPRESSIVE STRENGTH; MECHANICAL-PROPERTIES; SATURATION; MOISTURE; COAL; DEFORMABILITY; PENETRATION; SANDSTONES; REDUCTION; PREDICT;
D O I
10.1016/j.wear.2016.09.007
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Cerchar Abrasivity Index (CAI) has been commonly used to represent rock abrasion for estimation of tool wear in rock excavation applications. This test is a simple and effective measure of rock abrasion but operating parameters can impact its results. This paper focuses on the influence of water saturation on CAI values based on laboratory testing of 33 sedimentary rock units collected from different regions of Pakistan. The tests include CAI measurements as well as engineering rock properties on both dry and saturated rocks. It was found that overall 79% of CERCHAR abrasivity index values measured on saturated rock surfaces "CAI(sat)" were less than the CERCHAR abrasivity index values measured on dry rock surfaces "CAI(dry)". Meanwhile, 52% of CAI(sat) values showed significant reduction from CAI(dry) values in the statistical analysis of CAI results with significance level of 15% (alpha=0.15). Regression analysis was used to correlate CAlsat values with CAI(dry), normally measured in CERCHAR testing. The proposed formula can be used to estimate CAI(sat) from result of laboratory testing where CAI reported is often CAI(dry). This could lead into more accurate, estimation of tool wear and related adjustments when CAI is used for estimation of tool wear when excavation is done under wet conditions. Multiple regression was also used to establish a predictive model of CAI(sat) with petrographical, wear indices and geotechnical rock properties of saturated rock samples. In addition, the validity of correlations of CAI with rock properties that are already published was evaldated. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:132 / 145
页数:14
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