Compressive Strength Of Pervious Concrete Research Articles

Investigation and prediction of impact of aggregate size and shape on porosity and compressive strength of pervious concrete

ABSTRACT Pervious concrete is proven to environmentally benefit urban pavement construction. Optimising compaction energy evidently reduces uncertainty in the mass production of pervious concrete with uniform characteristics. The distribution of compaction energy in wet mix and rearrangement of binder-coated aggregate particles are affected by the size and shape of aggregates. This study analyses the impact of aggregate size and shape on porosity and compressive strength prediction from mix-design parameters. Aggregate-to-cement ratio (3, 4 and 5), compaction (0, 30 and 60 blows from standard Proctor rammer), aggregate sizes (5–12 mm, 12–18 mm and 18–25 mm) and aggregate shape (0, 200 and 1000 revolutions of milling in Los Angeles Abrasion Value) were used to cast a total number of 486 samples. Constituents were mixed in an electrically powered drum of capacity 96 L, for 20 min. Porosity was computed from constituent ratios (theoretical porosity) and apparent weight (measured porosity). The compressive strength of samples was recorded using a Universal Testing Machine. The measured porosity and theoretical porosity relationship was significantly affected by the shape of the aggregate and not by the size. Modified Ryshkewitch’s model predicted compressive strength from porosity, aggregate-to-cement ratio, compaction and aggregate size and shape with an accuracy of 0.92 (R2). Two of six arbitrary constants depended on aggregate shape and size.

A Prediction Model for the Unconfined Compressive Strength of Pervious Concrete Based on Mix Design and Compaction Energy Variables Using the Response Surface Methodology

Pervious concrete is desirable for water drainage in building systems, but achieving both high strength and good permeability can be challenging. Also, the importance of compaction energy is significant in determining the efficiency of pervious concrete. However, research on the development of unconfined compressive strength (UCS) prediction models for pervious concrete materials that incorporate compaction energy parameters remains unexplored. Therefore, this study aimed to balance strength and permeability while optimizing the compaction energy required for concrete production. A Central Composite Design (CCD) was used to design experiments within the response surface methodology (RSM) and evaluate the UCS, the porosity and permeability of pervious concrete specimens produced with varying cement content (280.00–340.00 kg/m3), the water-to-cement ratio (0.27–0.33), the aggregate-to-cement ratio (4:1–4.5:1), and compaction energy (represented by VeBe compaction time, 13–82 s). A regression model with goodness of fit (R2adjusted > 0.87) was calibrated to estimate the UCS of pervious concrete as a function of mix design parameters and VeBe compaction time (Tvc). This model can potentially guide field practices by recommending compaction strategies and mix designs for pervious concrete, achieving a desirable balance between mechanical strength and hydraulic permeability for building construction applications.

Optimisation of pervious concrete performance by varying aggregate shape, size, aggregate-to-cement ratio, and compaction effort by using the Taguchi method

ABSTRACT The porosity and compressive strength of pervious concrete are critical determinants of its suitability for various applications. Therefore, it is necessary to recognise the factors influencing the performance and its ranks to balance porosity and compressive strength ideally. This study evaluates the impact of aggregate shape, size, aggregate-to-cement ratio and compaction effort on previous concrete performance. The research involved varying aggregate sizes (5–12 mm, 12–18 mm and 18–25 mm), aggregate-to-cement ratios (3.0, 4.0 and 5.0), compaction efforts (0, 30 and 60 blows) and aggregates underwent revolutions in a ball mill (0, 200 and 1000) to change their morphological characteristics. A total of 81 mix designs were tested, resulting in 486 cubes for compressive strength and porosity testing. The acquired data underwent analysis using the statistical analysis and Taguchi method to discern the most influential factors and establish their ranking. The results indicate that revolutions, compaction, aggregate-to-cement ratio and aggregate size contribute 29.42%, 26.19%, 29.13% and 0.96%, respectively, to the compressive strength performance. Regarding porosity performance, revolutions and compaction emerge as significant factors, accounting for 39.95% and 26.91%, respectively. The influence of the aggregate-to-cement ratio and aggregate size on porosity performance appears less pronounced.

HDPE Plastic based Pervious Concrete

Pervious concrete is a special type of concrete, which consists of cement, coarse aggregates, water and if required, admixtures and other cementations materials. As there are no fine aggregates used in the concrete matrix, the void content is more which allows the water to flow through its body. So the pervious concrete is also called as permeable concrete and porous concrete. There is lot of research work is going in the field of pervious concrete. The compressive strength of pervious concrete is less when compared to the conventional concrete due to its porosity and voids. Hence, the usage of previous concrete is limited even though it has lot of advantages. If the compressive strength and flexural strength of pervious concrete is increased, then it can be used for more number of applications. For now, the usage of pervious concrete is mostly limited to light traffic roads only. If the properties are improved, then it can also be used for medium and heavy traffic rigid pavements also. Along with that, the pervious concrete eliminates surface runoff of storm water, facilitates the ground water recharge and makes the effective usage of available land. Keywords :- CEMENTITIOUS MATERIALS , NO FINES, HDPE P AGGREGATES, PERVIOUS CONCRETE, POROUS CONCRETE

Predicting Compressive Strength of Pervious Concrete Using Artificial Neural Network and Regression

Predicting Compressive Strength of Pervious Concrete Using Artificial Neural Network and Regression

Sustainable pervious concrete incorporated with graphene oxide: a comprehensive analysis of mechanical, infiltration and microstructure performance

ABSTRACT This study is a novel coalescence of using laboratory-based self-synthesised Graphene Oxide (GO) in pervious concrete (PC). The study aims to determine the effect of GO on the workability, paste drain down, porosity using CT scanning, hardened density, mechanical, infiltration and microstructural properties of previous concrete. Six mixes were designed with GO incorporation by cement weight (0, 0.02, 0.04, 0.06, 0.08 and 0.1 wt%). At 0.1 wt% of GO, the compressive strength of PC was 31.03 and 32.89 MPa at 28 and 56 days, respectively. Regarding splitting tensile strength, values were 3.68 and 3.9 MPa, and shear strength measured 4.88 and 5.12 MPa for the corresponding periods. Significant increment of 52.1% and 57% in compressive strength was observed at 28 and 56 days. The infiltration rate of all the mixes has shown a declining trend with an increase in GO percentage, and the maximum decrement was observed in the mix containing 0.1% of GO with 11.67% reduction of infiltration compared to control PC, but was within the standard permeable range as per American Concrete Institute (ACI 522R-10). Microstructural analysis revealed improved GO-modified PC performance, enhancing mechanical strength and infiltration characteristics, offering a promising and innovative solution for sustainable pavement development.

The Prediction of Pervious Concrete Compressive Strength Based on a Convolutional Neural Network

To overcome limitations inherent in existing mechanical performance prediction models for pervious concrete, including material constraints, limited applicability, and inadequate accuracy, this study employs a deep learning approach to construct a Convolutional Neural Network (CNN) model with three convolutional modules. The primary objective of the model is to precisely predict the 28-day compressive strength of pervious concrete. Eight input variables, encompassing coarse and fine aggregate content, water content, admixture content, cement content, fly ash content, and silica fume content, were selected for the model. The dataset utilized for both model training and testing consists of 111 sample sets. To ensure the model’s coverage within the practical range of pervious concrete strength and to enhance its robustness in real-world applications, an additional 12 sets of experimental data were incorporated for training and testing. The research findings indicate that, in comparison to the conventional machine learning method of Backpropagation (BP) neural networks, the developed CNN prediction model in this paper demonstrates a higher coefficient of determination, reaching 0.938, on the test dataset. The mean absolute percentage error is 9.13%, signifying that the proposed prediction model exhibits notable accuracy and universality in predicting the 28-day compressive strength of pervious concrete, regardless of the materials used in its preparation.

A Novel Pervious Concrete Improved by Hexagonal Boron Nitride and Basalt Fiber in Mechanical Properties, Permeability, and Micro-Mechanisms

A Novel Pervious Concrete Improved by Hexagonal Boron Nitride and Basalt Fiber in Mechanical Properties, Permeability, and Micro-Mechanisms

Recycling of different types of brick aggregates in pervious concrete

The recent emphasis on sustainability issues in construction materials has increased the interest to examine the effect of recycled aggregates on the performance of pervious concrete. This study investigated the effects of different types of recycled coarse brick aggregates (RCBAs), maximum RCBA size and using recycled fine brick aggregates (RFBAs) on the performance of pervious concrete. This has been done by testing void, density, compressive strength, splitting tensile strength, permeability, dust clogging and abrasion resistance. The quality of effluent passed through pervious concretes was also studied. According to the results, the usage of different types of RCBA decreased the compressive strength of pervious concrete, with the highest strength reduction of 55.3% which was obtained for 50% RCBA type A. A larger porous network of concretes by the incorporation of RCBA resulted in a higher permeability coefficient of up to 24.9%. Moreover, using RFBA in pervious concrete produces a much denser matrix and hence provides higher compressive and splitting tensile strengths and lower permeability coefficient. The permeability loss of pervious concretes due to dust clogging can also be decreased at 50% incorporation of different types of RCBA. Furthermore, results showed that RCBA types mainly influence the abrasion resistance of pervious concrete.

Experimental study on the performance of polymer pervious concrete using recycled concrete aggregate

The phenomenon of population growth exerts a significant influence on alterations in land utilization, hence causing a reduction in the catchment area and subsequently giving rise to issues related to surface runoff. Stormwater control can be effectively achieved with the use of pervious concrete, which is a porous material that allows surface water to seep into the underlying soil. Because of its ability to transfer surface water into the ground through its pores, pervious concrete was developed as a stormwater management tool to address these issues. Unfortunately, previous concrete has lower quality than normal concrete due to its voids. Several investigations have been carried out to enhance the quality of earlier concrete, one of which involves the use of polymers to strengthen the binding between particles. The primary objective of conducting experimental investigations on polymer pervious concrete incorporating recycled concrete aggregate is to evaluate the performance of polymer pervious concrete using recycled aggregate concrete to support sustainable construction. The study revealed that incorporating recycled concrete aggregate into pervious concrete results in a decrease in its compressive strength. On the other hand, it has been demonstrated that using polymer as an adhesive effectively increases the compressive strength of pervious concrete that contains recycled concrete aggregate.

Enhancing Compressive Strength of Pervious Concrete for Use as Pavement Layer in Urban Roads Aper

Enhancing Compressive Strength of Pervious Concrete for Use as Pavement Layer in Urban Roads Aper

The compressive strength and damage mechanisms of pervious concrete based on 2D mesoscale pore characteristics

The compressive performance of pervious concrete depends largely on its pore characteristics. To study the effect of pore characteristics on the compressive strength of pervious concrete, different porosity specimens of pervious concrete were prepared. The Compression test and porosity test was performed on the pervious concrete specimens with a side length of 100 mm. A 2D numerical model of pervious concrete was developed by mesoscale pore characteristics of pervious concrete. The stress distributions and damage modes of pervious concrete during compression were analyzed by conducting uniaxial compressive simulation tests on the established model. The results indicate that the number of pores and maximum pore size of pervious concrete increase as the design porosity increases. The equivalent pore size follows a Gaussian distribution and the characteristic pore size is typically between 1 and 4 mm. The simulation results also indicate that porosity affects the stress distribution of pervious concrete mainly based on the solid phase percentage and contact area. The increase of the number of small pores (when the porosity is certain) is conducive to improving the uniformity of stress transmission, thereby enhancing the compressive strength of pervious concrete.

The development of the compressive strength of pervious concrete using sugarcane bagasse ash and flyash

This study's objective is to determine the effect on the characteristics of pervious concrete of partially replacing the cement in pervious concrete with either 10% fly ash and sugar cane bagasse ash as well as partially replacing the cement in pervious concrete with fine aggregates in varying proportions (ranging from 5%, 6%, 7%, 8%, 9%, and 10%). The construction of the various mixes required the use of fly ash from Class C, coarse aggregates ranging in size from 19 mm to 9.5 mm and 9.5 mm to 4.75 mm mixed in the ratio of 60:40, respectively, and a water to binder ratio that was maintained at 0.36 throughout the process. Moreover, the IS 10262-2009 method of mix proportioning was used in this experiment. With the use of the falling head method, we were able to determine the compressive strength, the total voids, the permeable voids, the density, and the permeability of the materials. This can be demonstrated by demonstrating that the range of compressive strength that was attained has potential applicability. In addition, the compressive strength was only marginally affected when cement was partially replaced by FA and SCBA (10%). On the other hand, the incorporation of fine aggregates at a percentage ranging from five to 5%, 6%, 7%, 8%, 9%, and 10% has resulted in an increase in strength that was previously described as “minor” to “high”. The incorporation of FA and SCBA into pervious concrete results in a reduction in the total amount of voids that are found inside the concrete.

Prediction of compressive strength of fly ash blended pervious concrete: a machine learning approach

ABSTRACT This study presents a prediction model for estimating the compressive strength of pervious concrete through the utilisation of machine learning techniques. The models were trained and tested using 437 datasets sourced from published literature. This work employed a collection of six machine learning algorithms as statistical evaluation tools to determine the optimal and dependable model for forecasting the compressive strength of pervious concrete. Out of all the models considered, the eXtreme Gradient Boosting model had greater performance in predicting the compressive strength. The coefficient of determination value for the train data is 0.99, indicating a strong correlation between the predicted and actual values. The root mean squared error for the train data is 0.86 MPa, representing the average deviation between the predicted and measured values. Similarly, the coefficient of determination value for the test datasets is determined to be 0.95, accompanied by a root mean squared error of 2.53 MPa. The eXtreme Gradient Boosting model's sensitivity analysis findings suggest that the aggregate size is the greatest parameter on forecasting the compressive strength of pervious concrete. This study delivers a systematic assessment of the compressive strength of pervious concrete, contributing to the current knowledge base and practical implementation in this field.

A Novel Multi-variable Model for the Estimation of Compressive Strength of Pervious Concrete

A Novel Multi-variable Model for the Estimation of Compressive Strength of Pervious Concrete

Effect of Cellulose Nanofibrils on the Physical Properties and Frost Resistance of Pervious Concrete.

Pervious concrete has good water permeability and, if used in construction, it can alleviate the heat island effect. However, its low strength and poor durability are major obstacles to its use. This study shows that nano-reinforced pervious concrete created by incorporating cellulose nanofibrils (CNFs) can improve the physical properties and increase the durability of pervious concrete. CNFs were added to the concrete mix in proportions ranging from 0.05% to 0.2% by weight of binder. The additions were found to alter matrix rheology. The hydration kinetics of matrix with differing CNF contents were compared and analyzed. The experimental results show the addition of CNFs delayed peak heat flow and maximum cumulative heat. The 28 d compressive strength of pervious concrete increased by up to 26.5% and 28 d flexural strength by up to 25.8% with the addition of 0.05-0.2% CNFs. Addition of 0.1% and 0.2% CNFs increased water permeability. Addition of 0.05-0.15% CNFs decreased mass loss by 73.2-83.7% after 150 freeze-thaw cycles, which corresponded to an increase in frost resistance. Denser matrices and stronger interfacial transition zones were observed using scanning electron microscopy when 0.05-0.2% CNFs were added.

The Effect of Coarse Aggregate Size On Pervious Concrete Mixture

Along with the development progress in Indonesia, it causes the reduction of green areas. Coupled with the lack of public awareness of the environment is a problem that must be considered. Pervious concrete that be as one of the solutions in pavement construction, concrete sheet piles, retaining walls is a product that can be considered successfully in meeting expectations as an environmentally friendly construction. For road pavement, pervious concrete must have a strength of 30 MPa. Therefore, there is a need for research for the mix design of pervious concrete using the ACI 522R-10 Report on Pervious Concrete method with an initial design compressive strength of 25 MPa. The method is to vary the coarse aggregate used in the pervious concrete mixture. In this research, it is divided into 5 variations to find a mixture that is in accordance with the plan or which exceeds the initial plan, and its permeability still meets the requirements for pervious concrete. Testing of the specimens includes the volume weight test, compressive strength, split tensile strength, modulus of elasticity of concrete, porosity, absorption, and permeability. From the research, the results of the volume weight of pervious concrete are 1,974.14 - 2,187.83 kg/m3 that pervious concrete is included in the lightweight concrete group due to it has a weight below 2,200 kg/m3 . The average compressive strength of pervious concrete is 20.089 – 46.978 MPa. The value of the split tensile strength of pervious concrete is 8,968-19,127 MPa. The average value of porosity is between 8,307 – 13,097%. The average value of absorption is between 3.452 – 5.444%. The average value of the permeability is between 0.0025-0.487 cm3/sec. From this research, it can be concluded that the use of different coarse aggregates size will produce pervious concrete with different compressive strengths. The compressive strength with aggregate size 0.5x0.5 without sieving, it closed to the initial plan of 27.72 MPa, whereas the highest compressive strength is for a mixed aggregate size of 1/1 and 0.5/0.5 cm with sieving that the compressive strength achieved 46.978 MPa

The Effect of Coarse Aggregate Size On Pervious Concrete Mixture

Along with the development progress in Indonesia, it causes the reduction of green areas. Coupled with the lack of public awareness of the environment is a problem that must be considered. Pervious concrete that be as one of the solutions in pavement construction, concrete sheet piles, retaining walls is a product that can be considered successfully in meeting expectations as an environmentally friendly construction. For road pavement, pervious concrete must have a strength of 30 MPa. Therefore, there is a need for research for the mix design of pervious concrete using the ACI 522R-10 Report on Pervious Concrete method with an initial design compressive strength of 25 MPa. The method is to vary the coarse aggregate used in the pervious concrete mixture. In this research, it is divided into 5 variations to find a mixture that is in accordance with the plan or which exceeds the initial plan, and its permeability still meets the requirements for pervious concrete. Testing of the specimens includes the volume weight test, compressive strength, split tensile strength, modulus of elasticity of concrete, porosity, absorption, and permeability. From the research, the results of the volume weight of pervious concrete are 1,974.14 - 2,187.83 kg/m3 that pervious concrete is included in the lightweight concrete group due to it has a weight below 2,200 kg/m3 . The average compressive strength of pervious concrete is 20.089 – 46.978 MPa. The value of the split tensile strength of pervious concrete is 8,968-19,127 MPa. The average value of porosity is between 8,307 – 13,097%. The average value of absorption is between 3.452 – 5.444%. The average value of the permeability is between 0.0025-0.487 cm3/sec. From this research, it can be concluded that the use of different coarse aggregates size will produce pervious concrete with different compressive strengths. The compressive strength with aggregate size 0.5x0.5 without sieving, it closed to the initial plan of 27.72 MPa, whereas the highest compressive strength is for a mixed aggregate size of 1/1 and 0.5/0.5 cm with sieving that the compressive strength achieved 46.978 MPa

Effect of the rheological properties of fresh binder on the compressive strength of pervious concrete

This paper investigates the effect of the rheological properties of fresh binder on the compressive strength of pervious concrete. Pervious concrete can be used to reduce stormwater runoff, urban heat island effect, or noise. Because of a limited amount of binder, the compressive strength of pervious concrete is one of the most critical properties for its structural applications. Although researchers have revealed the important factors contributing to the compressive strength of pervious concrete, still the effect of rheological properties of fresh binder have been rarely investigated. This study measured the plastic viscosity, yield stress, adhesion energy of fresh binder using a rotational rheometer; and the data were compared with the compressive strength of the pervious concrete. The experimental variables were flowability and water-to-cement (w/c) ratios of binder materials, target porosity, and the adoption of silica fume and fibers. The test results indicate that the adhesive energy results in the best correlation with compressive strength among various rheological properties. Three-dimensional computed tomography (CT) scanning test also demonstrates the effect of the rheological conditions of the binder on the homogeneity of pervious concrete.

A Novel Multi-Variable Model for the Estimation of Compressive Strength of Pervious Concrete

A Novel Multi-Variable Model for the Estimation of Compressive Strength of Pervious Concrete