A review of factors influencing performance of pervious concrete

Lakušić, Stjepan

doi:10.14256/jce.2997.2018

Cited by 5 publications

(5 citation statements)

References 67 publications

(154 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to Croush et al [15], the compaction method has a significant impact on strength and permeability. In study [16], the authors recommended using impact methods for compaction Some authors used construction and demolition waste and post-consumer urban waste in pervious concretes [17][18][19]. Zaetan et al [17] investigated the properties of pervious concrete containing recycled concrete-block aggregate and recycled concrete aggregate and found that the replacement of natural aggregate with both recycled aggregates increased compressive strengths and abrasion resistance.…”

Section: Introductionmentioning

confidence: 99%

Pervious Concrete Reinforced with Waste Cloth Strips

et al. 2022

View full text Add to dashboard Cite

Pervious concrete is considered an environment-friendly paving material and its main feature is that it allows water to penetrate within its structure. Because of open pores in pervious concrete structures, there is a high risk of corrosion, so this concrete is used without any reinforcement or with fiber reinforcement. The incorporation of fibers in concrete is known to substantially increase the tensile strength, toughness, and ductility of concrete. The fast-fashion trend encourages people to buy more clothes and dispose of them in a shorter period of time, resulting in 85% of clothes ending up in landfills or being burned. In this paper, old cotton T-shirts were cut into narrow strips about 5 ± 1 cm long for the purpose of reinforcing pervious concrete. A total of eight concrete mixtures were made: four without reinforcement and four with textile-strip reinforcement. The number of textile strips was 1% of the total volume. Tests carried out on the specimens were: slump, density, porosity, compressive and flexural strength, water absorption, infiltration rate, and abrasion resistance. Multi-slice computed tomography (MSCT) was used for an X-ray examination and quantitative analysis of the specimens (ROI; region of interest) and 3D visualization (VRT; volume rendering technique). With an X-ray examination, the large holes in the cross sections of the specimens have been observed. They were caused by an insufficient compaction effort during the specimens’ placement, which affected the test results. Based on the obtained laboratory results, the waste strips improved the compressive strength, flexural strength, and abrasion resistance of the concrete with the addition of fine fractions, and generally increases the ductility of pervious concrete.

show abstract

Section: Introductionmentioning

confidence: 99%

Pervious Concrete Reinforced with Waste Cloth Strips

et al. 2022

View full text Add to dashboard Cite

show abstract

“…The addition of 1% and 5% of sand was observed to improve the compressive strength of normal porous blocks from 23-33% and 21-29%, at 7 and 28 days, respectively. In the review study conducted by [26], the authors also concluded the improvement of strength and durability properties due to the addition of fine aggregate that can be due to the enhancement of interfacial bond as also reported by [27] with percentage of fine aggregate addition can be ranged from 5 to 15% to satisfy the application as a sub-base in a rigid pavement. In this experiment, the porous concrete mixture with 5% of sand was then selected for further investigation on the effect of replacing coarse aggregate with different type of plastic waste aggregate as discussed in the next section.…”

Section: Portlandmentioning

confidence: 61%

Utilization of Modified Plastic Waste on the Porous Concrete Block Containing Fine Aggregate

Supit

Priyono

2023

Jurnal Teknologi

View full text Add to dashboard Cite

Modification of plastic waste to be use as a replacement of coarse aggregate on the manufacturing of porous concrete block is presented in this paper. Different proportions of sand content were used with percentage of 1%, 5% and 10% by total weight of the sample to investigate its effects on the performance of porous concrete blocks based on some conducted tests i.e., compression and flexural load resistance, porosity, and infiltration rate tests. The results show that the porous concrete block with 5% of sand addition showed better strength properties compared to other mixtures. With 5% modified PET coarse aggregate, the compressive strength decreased for about 26%. Similar trends can be also observed when using PP and HDPE plastic aggregate. However, the inclusion of PET aggregate in porous concrete blocks with 5% of sand inclusion does not significantly show better strength indicating the weak bonding between plastic and cement mortar was performed in porous concrete block matrix as evident through the Scanning Electron Microscopy analysis. The formation of pores and higher permeability can be also expected after adding PET plastic waste as seen in porosity and infiltration rate results. Furthermore, the utilization of coarse aggregate made from plastic waste in porous concrete blocks containing fine aggregate is a potential solution on plastic waste management for permeable pavement including foot traffic and light load application.

show abstract

“…x id = x id + v id (5) where ω is the inertia weight; c 1 and c 2 are the learning factors; and r(x) is the random equation in the range of (0,1). v id should be limited using the following equations:…”

Section: Random Forest (Rf) Modelmentioning

confidence: 99%

“…Permeable concrete is a type of functional concrete that prevents water accumulation on the ground by artificially setting gaps in the concrete, so that the surface water can pass through freely [3,4]. During the preparation of permeable concrete, the interspaces of concrete can be connected by adopting corresponding technical measures [5,6]. Permeable concrete refers to the concrete with internal porosity that is greater than 10%, generally 15% to 30%, and most of the pore diameters are greater than 1 mm, with certain water and air permeability [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization

Zhu,

Wu,

et al. 2024

Buildings

View full text Add to dashboard Cite

Permeable concrete is a type of porous concrete with the special function of water permeability, but the permeability of permeable concrete will decrease gradually due to the clogging behavior arising from the surrounding environment. To reliably characterize the clogging behavior of permeable concrete, particle swarm optimization (PSO) and random forest (RF) hybrid artificial intelligence techniques were developed in this study to predict the permeability coefficient of permeable concrete and optimize the aggregate mix ratio of permeable concrete. Firstly, a reliable database was collected and established to characterize the input and output variables for the machine learning. Then, PSO and 10-fold cross-validation were used to optimize the hyperparameters of the RF model using the training and testing datasets. Finally, the accuracy of the developed model was verified by comparing the predicted value with the actual value of the permeability coefficients (R = 0.978 and RMSE = 1.3638 for the training dataset; R = 0.9734 and RMSE = 2.3246 for the testing dataset). The proposed model can provide reliable predictions of the clogging behavior that permeable concrete may face and the trend of its development.

show abstract

A review of factors influencing performance of pervious concrete

Cited by 5 publications

References 67 publications

Pervious Concrete Reinforced with Waste Cloth Strips

Pervious Concrete Reinforced with Waste Cloth Strips

Utilization of Modified Plastic Waste on the Porous Concrete Block Containing Fine Aggregate

Understanding Penetration Attenuation of Permeable Concrete: A Hybrid Artificial Intelligence Technique Based on Particle Swarm Optimization

Contact Info

Product

Resources

About