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Teymouri, Ehsan
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Civil Engineering, Building, Construction & Architecture Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Transportation

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Evaluating the Clogging Phenomenon in Pervious Concrete from January 2015 to December 2022 Teymouri, Ehsan; Wong, Kwong Soon; Rouhbakhsh, Masoud; Pahlevani, Mahdi; Forouzan, Mehdi
Civil and Sustainable Urban Engineering Volume 3 - Issue 1 - 2023
Publisher : Tecno Scientifica Publishing & Society of Tropical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/csue.v3i1.236

Abstract

This study investigated the effects of clogging in Pervious Concrete (PC) from January 2015 to December 2022. Three different PC mixtures were used, which included coarse aggregate (4.75-9.5 mm), fine aggregate (0-20% weight of coarse aggregate), cement (340 kg/m3), and w/c ratio of 0.35. The samples were tested for compressive strength, permeability, and porosity. The best PC mixture containing 10% fine aggregate was selected for monitoring clogging over time. This mixture had a compressive strength of 24.7 MPa, permeability of 1.19 mm/s, and void content of 13.96%. A large-scale prototype of PC10 (10% of fine aggregate) measuring 3.5 m in length, 1.7 m in width, and 0.20 m in depth was constructed in Mashhad City, Iran. The in-place infiltration rate was measured on a monthly basis as the PC experienced different rainfall levels. The results showed that due to clogging, the infiltration rate was reduced by an average of 10% for the first four years of the experiments. This was followed by a substantial reduction of 20% in 2019 and 16.75% in 2020. Due to a high level of clogging, the infiltration rate was reduced by 5.02% and 2.23% in 2021 and 2022, respectively. However, the system still has the capacity to infiltrate at 1.14 mm/s. Although no maintenance was performed on the PC system, its efficiency and lifespan were substantially reduced. Nonetheless, the system can still be considered as an effective solution for stormwater management.
Enhancing Urban Runoff Quality with Iron Slag-Modified Pervious Concrete: A Study on Mechanical Properties and Pollutant Removal Efficiency Teymouri, Ehsan; Davis, Taylor
Civil and Sustainable Urban Engineering Volume 5 - Issue 1 - 2025
Publisher : Tecno Scientifica Publishing & Society of Tropical Science and Technology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53623/csue.v5i1.560

Abstract

This study explores the improvement of the performance of pervious concrete (PC) for enhancing urban runoff quality by incorporating fine-grained iron slag in varying proportions, from 0% to 15% of the coarse aggregate weight. The research addresses the pressing challenges of stormwater management in urban areas, where impervious surfaces contribute significantly to increased runoff and water pollution. To tackle these issues, the study aims to optimize PC composition. Mechanical and physical properties, including compressive strength, hydraulic conductivity, and void content, were assessed. The top-performing mixes were further evaluated for their ability to improve runoff quality using a rainfall simulator and PC slabs measuring 650×450×100 mm. Initial findings showed a positive relationship between higher iron slag content and increased compressive strength, with gains of up to 13%. However, this improvement came with reduced porosity and permeability as iron slag content increased. Notably, the sample with 15% iron slag demonstrated high pollutant removal efficiencies: 42.7% for chemical oxygen demand (COD), 43.68% for total suspended solids (TSS), and 33.95% for turbidity, due to the dual effects of pore filling and contaminant adsorption by the iron slag. No significant changes were observed in NaCl and electrical conductivity (EC) levels. This study highlights the potential of optimizing iron slag content in PC to enhance its role in urban runoff management, presenting a promising approach for improving water quality in urban settings.
Co-Authors Davis, Taylor Forouzan, Mehdi Pahlevani, Mahdi Rouhbakhsh, Masoud Wong, Kwong Soon