Prediction of aggregate modified index (AMI) using geomechanical properties of limestones
Limestone aggregates are considered as construction materials with special suitability for use as a part of base courses, asphalt and Portland cement concrete. The suitability of aggregates for different applications is determined by aggregate parameters including the Los Angeles aggregate abrasion...
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| Veröffentlicht in: | Bulletin of engineering geology and the environment 2018-05, Vol.77 (2), p.803-814 |
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| creator | Khanlari, G R Naseri, F |
| description | Limestone aggregates are considered as construction materials with special suitability for use as a part of base courses, asphalt and Portland cement concrete. The suitability of aggregates for different applications is determined by aggregate parameters including the Los Angeles aggregate abrasion value (LAAV), aggregate impact value (AIV), and aggregate crushing value (ACV). In this paper, a combination of all these parameters is presented as an aggregate index (AI); Hamedan Limestones were classified based on this new index. The physico-mechanical properties of aggregates can also be used to evaluate their suitability for any specific engineering application; therefore, these properties of rock samples were measured. The AI was modified using p-wave velocity parameters, and changed into an aggregate modified index (AI/Vp = AMI). Statistical analyses, including simple and multiple regressions, were applied to offer some rational approaches and identify those physico-mechanical parameters that are more appropriate for prediction of AMI. Consequently, based on these analyses, p-wave velocity, uniaxial compressive strength, dry density and Brazilian tensile strength parameters show significant correlations with AMI at α-level = 0.1. |
| doi_str_mv | 10.1007/s10064-016-0984-1 |
| format | Article |
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The suitability of aggregates for different applications is determined by aggregate parameters including the Los Angeles aggregate abrasion value (LAAV), aggregate impact value (AIV), and aggregate crushing value (ACV). In this paper, a combination of all these parameters is presented as an aggregate index (AI); Hamedan Limestones were classified based on this new index. The physico-mechanical properties of aggregates can also be used to evaluate their suitability for any specific engineering application; therefore, these properties of rock samples were measured. The AI was modified using p-wave velocity parameters, and changed into an aggregate modified index (AI/Vp = AMI). Statistical analyses, including simple and multiple regressions, were applied to offer some rational approaches and identify those physico-mechanical parameters that are more appropriate for prediction of AMI. Consequently, based on these analyses, p-wave velocity, uniaxial compressive strength, dry density and Brazilian tensile strength parameters show significant correlations with AMI at α-level = 0.1.</description><identifier>ISSN: 1435-9529</identifier><identifier>EISSN: 1435-9537</identifier><identifier>DOI: 10.1007/s10064-016-0984-1</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Abrasion ; Aggregates ; Asphalt ; Bituminous cements ; Compressive strength ; Concrete ; Construction materials ; Geological engineering ; Geomechanics ; Limestone ; Mechanical properties ; Parameter identification ; Parameter modification ; Parameters ; Portland cement ; Portland cements ; Regression analysis ; Rock properties ; Sediment samples ; Seismic velocities ; Seismic wave velocities ; Statistical analysis ; Statistical methods ; Velocity ; Wave velocity</subject><ispartof>Bulletin of engineering geology and the environment, 2018-05, Vol.77 (2), p.803-814</ispartof><rights>Bulletin of Engineering Geology and the Environment is a copyright of Springer, (2016). 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In this paper, a combination of all these parameters is presented as an aggregate index (AI); Hamedan Limestones were classified based on this new index. The physico-mechanical properties of aggregates can also be used to evaluate their suitability for any specific engineering application; therefore, these properties of rock samples were measured. The AI was modified using p-wave velocity parameters, and changed into an aggregate modified index (AI/Vp = AMI). Statistical analyses, including simple and multiple regressions, were applied to offer some rational approaches and identify those physico-mechanical parameters that are more appropriate for prediction of AMI. Consequently, based on these analyses, p-wave velocity, uniaxial compressive strength, dry density and Brazilian tensile strength parameters show significant correlations with AMI at α-level = 0.1.</description><subject>Abrasion</subject><subject>Aggregates</subject><subject>Asphalt</subject><subject>Bituminous cements</subject><subject>Compressive strength</subject><subject>Concrete</subject><subject>Construction materials</subject><subject>Geological engineering</subject><subject>Geomechanics</subject><subject>Limestone</subject><subject>Mechanical properties</subject><subject>Parameter identification</subject><subject>Parameter modification</subject><subject>Parameters</subject><subject>Portland cement</subject><subject>Portland cements</subject><subject>Regression analysis</subject><subject>Rock properties</subject><subject>Sediment samples</subject><subject>Seismic velocities</subject><subject>Seismic wave velocities</subject><subject>Statistical analysis</subject><subject>Statistical methods</subject><subject>Velocity</subject><subject>Wave velocity</subject><issn>1435-9529</issn><issn>1435-9537</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNo9jr1OwzAYRS0EEqXwAGyWWGAw-N_OWFUUKhXBAANT5cSfg6skDnEi8fgEgVjuvdM5F6FLRm8ZpeYuz6kloUwTWlhJ2BFaMCkUKZQwx_-bF6foLOcDpUxZzhbo_WUAH6sxpg6ngF1dD1C7EXCbfAwRPI6dhy98vXra3uApx67GNaQWqg_Xxco1uB9SD8MYIf8AmthCHlMH-RydBNdkuPjrJXrb3L-uH8nu-WG7Xu1Iz6wYiTKamwBBeKudZ4UqhfXzN6ecsc7ZStmqCJyXhbKhkopKaUopoGTaa8q5WKKrX-585HOa5ftDmoZuVu45FUIzpYwU3ycSVEk</recordid><startdate>20180501</startdate><enddate>20180501</enddate><creator>Khanlari, G R</creator><creator>Naseri, F</creator><general>Springer Nature B.V</general><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>M7S</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>SOI</scope></search><sort><creationdate>20180501</creationdate><title>Prediction of aggregate modified index (AMI) using geomechanical properties of limestones</title><author>Khanlari, G R ; 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| subjects | Abrasion Aggregates Asphalt Bituminous cements Compressive strength Concrete Construction materials Geological engineering Geomechanics Limestone Mechanical properties Parameter identification Parameter modification Parameters Portland cement Portland cements Regression analysis Rock properties Sediment samples Seismic velocities Seismic wave velocities Statistical analysis Statistical methods Velocity Wave velocity |
| title | Prediction of aggregate modified index (AMI) using geomechanical properties of limestones |
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