Fan Li^1,#, Xin Cai^2,#, Yanan Zhang^1,*, Xingwen Guo^2,*, Minmin Jiang³

Journal of Renewable Materials, Vol.11, No.4, pp. 1745-1762, 2023, DOI:10.32604/jrm.2022.024380 - 01 December 2022

Abstract In this paper, the effects of different influencing factors and factor interaction on the compressive strength and permeability of recycled aggregate pervious concrete (RAPC) were studied based on the response surface method (RSM). By selecting the maximum aggregate size, water cement ratio and target porosity as design variables, combined with laboratory tests and numerical analysis, the influences of three factors on the compressive strength and permeability coefficient of RAPC were revealed. The regression equation of compressive strength and permeability coefficient of recycled aggregate pervious concrete were established based on RSM, and the response surface model… More >

Jiandong Huang¹, Jia Zhang¹, Yuan Gao^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 805-821, 2022, DOI:10.32604/cmes.2022.017792 - 13 December 2021

Abstract

Pervious concrete (PC) is at risk of clogging due to the continuous blockage of sand into it during its service time. This study aims to evaluate and predict such clogging behavior of PC using hybrid machine learning techniques. Based 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) methods. The PSO algorithm was employed to adjust the hyperparameters of the SVM and verify the performance using 10-fold cross-validation. The predicting results

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Shoukai Chen^1,4,5, Chunpeng Xing¹, Mengdie Zhao^2,*, Junfeng Zhang³, Lunyan Wang^1,4,5,*, Qidong He⁶

Journal of Renewable Materials, Vol.10, No.3, pp. 799-819, 2022, DOI:10.32604/jrm.2022.017285 - 28 September 2021

Abstract

Pervious concrete is recommended, which is of great benefit to the ecological environment and human living environment. In this paper, the influences of five water-cement ratios and four fly ash contents to replace the cement by mass with a water-cement ratio of 0.30 on the properties of Recycled Aggregate Pervious Concrete (RAPC) were studied. Following this, based on the Grey relational-Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) optimization method, the strength, permeability, abrasion loss rate, and material costs of RAPC were adopted as evaluation indices to establish a mix proportion optimization model.

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Lei Guo^1,2,3, Zi Guan¹, Lixia Guo^1,2,3,*, Weiping Shen¹, Zhilong Xue¹, Pingping Chen¹, Mingru Li¹

Journal of Renewable Materials, Vol.8, No.12, pp. 1711-1727, 2020, DOI:10.32604/jrm.2020.013415 - 12 November 2020

Abstract A recycled aggregate (RA) was prepared by crushing and sieving demolished discarded concrete pavements and was subsequently tested and analyzed to determine its various physical properties. On this basis, pervious concrete (PC) mix proportions were designed. Coarse RA particles with sizes of 5–10 and 10–20 mm were selected. Concrete specimens were prepared with a water–cement ratio of 0.3, an aggregate–cement ratio of 4.5, the substitute rates of RA with 0, 25%, 50%, 75% and a single-/double-gap-graded RA mix (mass ratio of particles with sizes of 5–10 mm to particles with sizes of 10–20 mm: 1:1,… More >