Lateral Infiltration Capacity of Pervious Concrete and Its Performance as Pavement Curb

Zaman, Aifaa Balqis Kamarul; Mustaffa, Zahiraniza; Mohammed, Bashar S.; Ng, Cheng Yee

doi:10.1061/(asce)mt.1943-5533.0004101

Cited by 4 publications

(2 citation statements)

References 41 publications

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“…Hence, the analysis involves selecting a suitable mathematical model that adequately reflects the relationship between the input and output variables, as concluded by Al-Fakih et al [50], Balqis et al [51], Choo et al [52], Mohammed et al [53], and Mohammed et al [53,54]. Different design configurations can be chosen to perform the RSM analysis, including the central composite design (CCD), the Box-Behnken design (BBD), the user-defined design (UDD), etc.…”

Section: Rsm Analysismentioning

confidence: 99%

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Singh

Mohammed

2023

Sustainability

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With the growing demands of the construction industry, the need for manufacturing cement increases, and it causes challenges to the climate as one ton of cement results in the release of around one ton of CO2. Therefore, it is essential to find an alternative to reduce the environmental impact. This study aims to optimize the properties of concrete containing marble dust and stearic acid to produce eco-friendly and self-cleaning concrete. Stearic acid induces a self-cleaning property in concrete to make it free from moisture, leading to its prolonged service life. Thirteen mixes are designed, using marble dust as a partial replacement of cement by weight (at 10%, 20%, and 30%) and stearic acid by cement weight (at 0.5%, 1%, and 1.5%) in this eco-friendly self-cleaning concrete. Nine mixes were developed using response surface methodology (RSM), where two variable inputs were considered. The compressive, tensile, and flexural strengths were assessed. Other tests such as ultrasonic pulse velocity, Young’s modulus of elasticity, density, scanning electron microscopy (SEM), energy dispersive X-ray (EDX) analysis, and self-cleaning property have been conducted and evaluated. At 10% replacement of marble dust by the weight of cement and with a 0.5% coating of stearic acid, the compressive, tensile, and flexural strength of concrete increases by 12.68%, 21.71%, and 16.73% over the control mix, whereas the best self-cleaning property is observed at 30% partial replacement of cement with marble dust coated with 1.5% of stearic acid.

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Section: Rsm Analysismentioning

confidence: 99%

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Singh

Mohammed

2023

Sustainability

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“…At present, the research on pervious concrete mainly involves the improvement of its properties by changing the aggregate particle size/gradation, water-cement ratio/ash-bone ratio, target porosity, and external materials. These include studies of the design of the mix ratio [2][3][4][5], the influence of the aggregate particle size [6][7][8][9][10] and type [11,12] on the performance and porosity [13][14][15][16], the relationship between permeability and the mechanical properties of pervious concrete [17,18], and fatigue performance [19][20][21][22]. However, most scholars have not extensively investigated the fine-scale parameters of pervious concrete to analyze its pore structure characteristics, except through electron microscopy [23], computed tomography scanning reconstruction [24], and the piezomercury method [25].…”

Section: Introductionmentioning

confidence: 99%

Microscopic Factors Affecting the Performance of Pervious Concrete

Liu,

Li,

Cao

et al. 2024

Materials

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The impacts of various aggregate particle sizes and cement contents on the internal structure of pervious concrete were investigated. Accordingly, test blocks with different aggregate particle sizes and cement contents were dissected and photographed. Subsequently, the captured images were processed using the ImageJ software (1.53i) to analyze the profiles of the test blocks and identify the internal mesoscopic parameters of the pervious concrete. This study discusses the relationship between microscopic parameters and macroscopic factors based on experimental results. It also fits functional equations linking the permeability coefficient with pore parameters, matrix parameters, and compressive strength. The results indicated that, as the aggregate size increased, the internal pore diameter of the pervious concrete increased, whereas the total area and width of the cement matrix decreased. This resulted in a low permeability coefficient and high compressive strength of the test block. Increasing the cement content in pervious concrete reduced the porosity and increased the width and area of the internal matrix. Consequently, the permeability coefficient decreased, and the compressive strength of the test block increased.

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Experimental Investigation on the Properties of Sustainable Pervious Concrete with Different Aggregate Gradation

Zhang,

Sun,

Shui

et al. 2023

Int J Concr Struct Mater

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Pervious concrete (PC) as a green infrastructure material has been increasingly used due to its positive environmental impacts, such as controlling storm water runoff, removing water pollutants and reducing heat island effect. The aggregate gradation is a critical factor influencing the physical properties of PC. Therefore, this paper represents an attempt to determine the effects of aggregate gradation on the various physical properties of PC, and then to explore relationships between them. To this end, three aggregate gradations 4.75–9.5 mm, 9.5–19 mm and 19–31.5 mm were recombined with various proportions (20–80%) to obtain five different gradations named as A, B, C, D and E. PC mixtures were prepared with these five aggregate gradations. Then, physical and mechanical properties of PC including porosity, permeability, compressive strength and water stability were investigated, according to the available specification. The results suggested that it was feasible to use waste concrete for permeable pavement, because all the specimens provided required specification requirements. Different linear relationships were also found between the maximum aggregate size and porosity, permeability coefficient, compressive strength and its loss rate. That is, porosity and permeability increased with the proportion of larger size aggregate increased, however, compressive strength reduced. Thus the compressive strength had an inverse correlation with the porosity and water permeability. Among five different aggregate gradations, group C (20% of 4.75–9.5 mm aggregate, 50% of 9.5–19 mm aggregate and 30% of 19–31.5 mm aggregate) can be seen as the optimum gradation and is suitable for base layer materials of permeable pavements.

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Lateral Infiltration Capacity of Pervious Concrete and Its Performance as Pavement Curb

Cited by 4 publications

References 41 publications

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Utilizing Stearic-Acid-Coated Marble Dust for the Production of Eco-Friendly Self-Cleaning Concrete: RSM Modeling and Optimization

Microscopic Factors Affecting the Performance of Pervious Concrete

Experimental Investigation on the Properties of Sustainable Pervious Concrete with Different Aggregate Gradation

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