Pervious concrete pavement incorporating GGBS to alleviate pavement runoff and improve urban sustainability

El-Hassan, Hilal; Kianmehr, Peiman

doi:10.1080/14680629.2016.1251957

Cited by 54 publications

(24 citation statements)

References 12 publications

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“…For the binary mixes, cement was replaced with one SCM at a time. The replacement range for each SCM was chosen based on recommendations from past literature [12][13][14][15][16]. Accordingly, fly ash, silica fume, and GGBS replaced cement by 0-40, 0-20, and 0-80%.…”

Section: Experimental Methodologymentioning

confidence: 99%

Probabilistic Inference Approach for Predicting Concrete Compressive Strength - A Bayesian Network Algorithm

Najm¹,

El-Hassan²,

El-Dieb³

et al. 2020

Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)

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Section: Experimental Methodologymentioning

confidence: 99%

Probabilistic Inference Approach for Predicting Concrete Compressive Strength - A Bayesian Network Algorithm

Najm¹,

El-Hassan²,

El-Dieb³

et al. 2020

Proceedings of the 4th International Conference on Civil, Structural and Transportation Engineering (ICCSTE'19)

Self Cite

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“…e binder material generally used is Portland cement and pozzolanic cement. Fly ash, quarry dust, and Ground Granulated Blast Furnace Slag can be used as additional binder materials [28]. Highstrength pervious concrete mixes are developed using silica fume, polymers, and superplasticizers [29].…”

Section: Introductionmentioning

confidence: 99%

Hydraulic Performance of Pervious Concrete Based on Small Size Aggregates

Mulu

Jacob

Dwarakish

2022

Advances in Materials Science and Engineering

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The paper aims to study the impact of clogging on pervious concrete mixes and explore a simple method to calculate permeability and clogging using the falling head method in a fabricated unit. The materials used are cementitious materials and aggregates, along with superplasticizers. The cementitious materials used are OPC Grade 53 cement and micro Ground Granulated Blast Furnace Slag (μGGBS). Two separate narrow aggregate gradations are used: 2.36–4.75 mm and 4.75–6.30 mm. The water-binder ratio is taken as 0.25, and the aggregate-binder ratio is taken as 3.33. The compressive strength, permeability, and clogging potential of pervious concrete are calculated. The average permeability for 2.36–4.75 mm and 4.75–6.3 mm is 4.78 mm/s and 8.16 m/s, respectively. The clogging materials used are clay and sand with a concentration of 5 g/l. The introduction of clay slurry reduces the permeability by 69.8% and 74.9%, respectively, and with sand, it decreases by 74.7% and 71.7%, respectively, in its first cycle. The permeability response for such small aggregates is different from the standard coarse aggregates. The paper compares the study’s compressive strength, porosity, and permeability with the existing literature. It concludes that the maximum clogging occurs when the clogging material is introduced to the specimen for the first time. The degradation of permeability depends on the clogging particle’s particulate size and the concrete matrix’s pore size. The smaller aggregates in pervious concrete are not recommended in areas of high siltation.

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“…Researches have been carried out to investigate the permeability of porous asphalt mixtures [8,9]. Past experience has shown that a large amount of flow occurred in the horizontal direction in coarse superpave mixes with thick lifts, whereas fine mixes with thin lifts tended to have more of a vertical flow [10][11][12]. It is no surprise that permeability anisotropy has been the key to evaluating pavement drainage [13].…”

Section: Introductionmentioning

confidence: 99%

Effect of Clogging on the Permeability of Porous Asphalt Pavement

Chen

Geng

et al. 2020

Advances in Materials Science and Engineering

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The purpose of this paper is to report on the drainage of porous asphalt pavement evaluation method suited for use in analyzing clogging effect. To preliminarily reveal the decrease in permeability caused by clogging of permeable asphalt pavement, an innovative device was proposed to evaluate the anisotropy of permeability influenced by clogging, and the maximum drainage capacity without surface ponding can be obtained when the supplied water was controlled. Then, finite element models for asphalt pavements with hydromechanical coupling were proposed based on porous media theory and Biot’s theory. The variation in pore water pressure was simulated by considering the decrease in voids and the increase in clogging grains. The results indicate that the internally retained water should not be ignored because the semiconnected voids were filled with water rapidly at the beginning of permeability tests. To avoid surface ponding, the drainage capacity coefficient (DCC) can be used to evaluate the maximum drainage capacity (MDC) influenced by clogging. Moreover, the pore water pressure increased due to the reduction in voids and a high level of clogging. In addition, the peak value of pore water pressure is also affected by the upper-layer height of the pavement. Under the action of clogging and driving load, a reasonable thickness of the upper layer and a drainage evaluation should be considered to improve road safety.

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Pervious concrete pavement incorporating GGBS to alleviate pavement runoff and improve urban sustainability

Cited by 54 publications

References 12 publications

Probabilistic Inference Approach for Predicting Concrete Compressive Strength - A Bayesian Network Algorithm

Probabilistic Inference Approach for Predicting Concrete Compressive Strength - A Bayesian Network Algorithm

Hydraulic Performance of Pervious Concrete Based on Small Size Aggregates

Effect of Clogging on the Permeability of Porous Asphalt Pavement

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