Pervious concrete texture analysis for infiltration rate evaluation
Pervious concrete contains voids from 15% to 30% so that water could penetrate thru it in order to reduce surface runoff from percolates on top of the surface or pavement. This study is carried out to determine the suitable type of texture that could maximize the infiltration rate based on the propo...
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2012
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my.utm.212782017-02-08T03:32:40Z http://eprints.utm.my/id/eprint/21278/ Pervious concrete texture analysis for infiltration rate evaluation Firouzi, Morteza Shamsudin, Supiah Nekooie, Mohammad Ali Abd. Rahis, Abdul Jamil Taherkhani, R. Mohamad, Mohamad Ibrahim TA Engineering (General). Civil engineering (General) Pervious concrete contains voids from 15% to 30% so that water could penetrate thru it in order to reduce surface runoff from percolates on top of the surface or pavement. This study is carried out to determine the suitable type of texture that could maximize the infiltration rate based on the proportion and type of material being used. Besides, the uncertainty of concrete preciousness also could be determined to evaluate the infiltration rate value when using pervious concrete on soil. Also, Monte Carlo Simulation is applied. The highest infiltration rate for pervious concrete sample is 1.24×10 5 mm/hour, with the maximum probability density function of infiltration at 207.18 cm/min (22.59%). The lowest infiltration rate for one of the concrete sample is 8.99×10 5 mm/hour, with the minimum probability density function of infiltration rate at 151.18 cm/min (21.31%). American Scientific Publishers 2012-06 Article PeerReviewed Firouzi, Morteza and Shamsudin, Supiah and Nekooie, Mohammad Ali and Abd. Rahis, Abdul Jamil and Taherkhani, R. and Mohamad, Mohamad Ibrahim (2012) Pervious concrete texture analysis for infiltration rate evaluation. Advanced Science Letters, 13 (1). pp. 877-878. ISSN 1936-6612 http://dx.doi.org/10.1166/asl.2012.3924 DOI:10.1166/asl.2012.3924 |
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TA Engineering (General). Civil engineering (General) Firouzi, Morteza Shamsudin, Supiah Nekooie, Mohammad Ali Abd. Rahis, Abdul Jamil Taherkhani, R. Mohamad, Mohamad Ibrahim Pervious concrete texture analysis for infiltration rate evaluation |
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Pervious concrete contains voids from 15% to 30% so that water could penetrate thru it in order to reduce surface runoff from percolates on top of the surface or pavement. This study is carried out to determine the suitable type of texture that could maximize the infiltration rate based on the proportion and type of material being used. Besides, the uncertainty of concrete preciousness also could be determined to evaluate the infiltration rate value when using pervious concrete on soil. Also, Monte Carlo Simulation is applied. The highest infiltration rate for pervious concrete sample is 1.24×10 5 mm/hour, with the maximum probability density function of infiltration at 207.18 cm/min (22.59%). The lowest infiltration rate for one of the concrete sample is 8.99×10 5 mm/hour, with the minimum probability density function of infiltration rate at 151.18 cm/min (21.31%). |
format |
Article |
author |
Firouzi, Morteza Shamsudin, Supiah Nekooie, Mohammad Ali Abd. Rahis, Abdul Jamil Taherkhani, R. Mohamad, Mohamad Ibrahim |
author_facet |
Firouzi, Morteza Shamsudin, Supiah Nekooie, Mohammad Ali Abd. Rahis, Abdul Jamil Taherkhani, R. Mohamad, Mohamad Ibrahim |
author_sort |
Firouzi, Morteza |
title |
Pervious concrete texture analysis for infiltration rate evaluation |
title_short |
Pervious concrete texture analysis for infiltration rate evaluation |
title_full |
Pervious concrete texture analysis for infiltration rate evaluation |
title_fullStr |
Pervious concrete texture analysis for infiltration rate evaluation |
title_full_unstemmed |
Pervious concrete texture analysis for infiltration rate evaluation |
title_sort |
pervious concrete texture analysis for infiltration rate evaluation |
publisher |
American Scientific Publishers |
publishDate |
2012 |
url |
http://eprints.utm.my/id/eprint/21278/ http://dx.doi.org/10.1166/asl.2012.3924 |
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1643647316512473088 |
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13.211869 |