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Pore Characteristic Design Method of High-strength pervious concrete Based on the Mechanical Properties and Rainstorm Waterlogging Resistance

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Journal of Wuhan University of Technology(Materials Science) 2023年第3期38卷 567-574页

作者：朱平华 SHI Zhihao LIU Hui YAN Xiancui YANG Lei ZONG Meirong Department of Civil Engineering Changzhou UniversityChangzhou 213164China

High-strength pervious concrete(HSPC) with porosity ranging from 0.08% to 2.011% was prepared. The mechanical properties and rainstorm waterlogging resistance of HSPC were evaluated,and a design method of HSPC pore characteristics(porosity and pore diameter) based on the mechanical properties and rainstorm waterlogging resistance was proposed. The results showed that the reduction of effective cross-sectional area caused by artificial channels was the main factor affecting flexural strength but had limited influence on compressive strength. Compared with the concrete matrix without artificial channels,the compressive strength of HSPC with porosity of 2.011% decreased by 7.4%, while the flexural strength decreased by 48.3%. The permeability coefficient of HSPC can reach 16.35 mm/s even at low porosity(2.011%).HSPC can meet the requirements of no rainstorm waterlogging, even if exposed to 100-year rainstorms. When the mechanical properties and rainstorm waterlogging resistance are compromised, the recommended porosity ranges from 1.1% to 3.5%, and the recommended pore diameter ranges from 0.8 to 2.7 mm.

关键词： pervious concrete artificial channel pore characteristic permeability coefficient rainstorm waterlogging

Evaluating the Clogging Behavior of pervious concrete(PC)Using the Machine Learning Techniques

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Computer Modeling in Engineering & Sciences 2022年第2期130卷 805-821页

作者： Jiandong Huang Jia Zhang Yuan Gao School of Mines China University of Mining and TechnologyXuzhou221116China School of Chemical Engineering and Technology China University of Mining and TechnologyXuzhou221116China

pervious concrete(PC)is at risk of clogging due to the continuous blockage of sand into it during its service *** study aims to evaluate and predict such clogging behavior of PC using hybrid machine learning *** on the 84 groups of the dataset developed in the earlier study,the clogging behavior of the PC was determined by the algorithm combing the SVM(support vector machines)and particle swarm optimization(PSO)*** PSO algorithm was employed to adjust the hyperparameters of the SVM and verify the performance using 10-fold *** predicting results of the developed model were assessed by the coefficient of determination(R)and root mean square error(RMSE).The importance of the influential variables on the clogging behavior of PC was evaluated as *** results showed that the PSO algorithm can effectively adjust the hyperparameters of the SVM model and can be used to construct the predictive model for the clogging behavior of the *** combined algorithm has the advantage of higher reliability and validity than the random hyperparameters *** the verification process,the developed model was able to obtain values of 0.9469 and 1.8148 for the R and RMSE,showing that the developed machine learning model can accurately be used to evaluate and predict the clogging behavior of the PC,guiding the mix-design of PC from the perspective of *** size of the clogging sand is the most important parameter and the thickness of the sample is the least significant factor affecting the clogging *** proportions of the smallest aggregate size and largest aggregate size are the two most important design parameters of concrete with the consideration of the relatively higher importance scores,showing these two aggregates should be given special attention in future PC design for anti-clogging purposes.

关键词： Clogging behavior pervious concrete SVM PSO

Testing development of different surface treatments on pervious concrete

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Frontiers of Structural and Civil Engineering 2016年第4期10卷 385-393页

作者： Mina YEKKALAR Liv HASELBACH Quinn LANGFITT Civil and Environmental Engineering Washington State University Pullman WA 99164-2910 USA

pervious concrete systems are developing stormwater management technologies which also have wintertime benefits as melting snow may percolate into the system instead of refreezing on the surface. Enhancing the surface microtexture of pervious concrete may also be beneficial in preventing icing or slipping by pedestrians. This research explored different surface treatments on pervious concrete specimens both qualitatively from personal judgements, and quantitatively through static friction measurements with a spring balance with respect to ＂slipperiness＂. The tests were performed on both dry and wet specimens. One aim was to determine whether the spring balance method may be a simple test for comparing surface treatments on pavement samples with little surface area such as laboratory specimens or sidewalk sections. The other purpose was to make a preliminary decision of which surface treatments to use for a sidewalk installation for future studies on wintertime performance. The reliability analysis of the spring balance results showed that there was high operator consistency. In addition, there was a high level of consistency on average results between the quantitative and qualitative methods. This implies that the spring balance test may be an acceptable methodology for comparative analyses with respect to static friction.

关键词： pervious concrete static coefficient of friction pedestrian

Investigating the Relationship between Porosity and Permeability Coefficient for pervious concrete Pavement by Statistical Modelling

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Materials Sciences and Applications 2016年第2期7卷 101-107页

作者： Hassan Tajik Ghashghaei Abolfazl Hassani Parand Islamic Azad University Tarbiat Modares University Tehran Iran

A study evaluating the relationship between porosity and permeability coefficient for pervious concrete (PC) is presented. In addition, the effect of mixture design parameters particularly, water-to-cement ratio (W/C) and size of aggregate on the permeability coefficient of PC was investigated. The PC mixtures were made with 4 range of W/C and 2 range size of aggregate. PC mixes were made from each aggregate and were tested. The results showed that the W/C and aggregate size are key parameters which significantly affect the characteristic performance of PC. Permeability coefficient of coarse pervious concrete (CPC) is bigger than fine pervious concrete (FPC) and the porosity of CPC are bigger than porosity of FPC. A regression model (RM) along with analysis of variance (ANOVA) was conducted to study the significance of porosity distribution on permeability coefficient of PC. The statistical model developed in this study can facilitate prediction permeability coefficient of CPC and FPC as the sustainable pavements.

关键词： pervious concrete W/C Porosity Permeability Coefficient

pervious concrete as an Alternative for Non-structural Drainage to the Amazon Region:From Properties to Applications in Watersheds

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Journal of Civil Engineering and Architecture 2019年第7期13卷 427-444页

作者： Lourenco Bechara Juliano Ponte Márcio Barata Instituto Federal do Para Campus CDA Conceicao do Araguaia 68540-000Brasil Programa de Pos-Graduacao em Arquitetura e Urbanismo Universidade Federal do Para Belem66075-110Brasil

The urbanization process of the urban centers in the Amazon occurred quickly and without planning. Belém, one of the main cities in the region, suffers from intense flooding due to urbanization growth and the disorderly occupation of floodplains. The objective was to evaluate the producing of pervious concrete that meets the mechanical and hydraulic performance criteria for permeable pavement molded on site and to simulate the replacement of the entire public walkway system of a hydrographic basin in Belém in order to verify if this measure would alter the permeability of the basin and meet minimum requirements of at least 25% permeable area. The properties of three mixtures of pervious concrete with aggregates of different grading were evaluated. The permeability and flexural strength of all blends were higher than the minimum required for use as a permeable pavement for light vehicle traffic. The simulation showed that replacement of the public walkway by permeable pavement increased the permeable area of the watershed from 19 to 23%, changing from a poor condition to an acceptable level. The results indicate the potential to improve the performance of drainage systems through the wider use of permeable pavement associated with traditional structural measures.

关键词： pervious concrete permeable pavement non-structural drainage floods high rainfall Amazon region