Abrasion resistance of sustainable green concrete containing waste tire rubber particles

Thomas, Blessen Skariah; Kumar, Sanjeev; Mehra, Priyansha; Gupta, Ramesh Chandra; Joseph, Miquel; Csetényi, László

doi:10.1016/j.conbuildmat.2016.07.110

Cited by 103 publications

(28 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…LCA for unutilized scrap tires is commonly used to determine the most cost-effective waste conversion or reusing option [22] [23]. From the technical point of view, the internal steel reinforcement of tires can be reused in partial to total replacement of industrial steel fibers commonly use in the so-called Fiber-Reinforced Concrete (FRC) [24] [25], meanwhile, rubber particles can be employed as partial or total replacement of natural aggregates for obtaining a cementitious composite often referred to as "rubberized concrete" [26][27] [28].…”

Section: Introductionmentioning

confidence: 99%

On the mechanical response of Hybrid Fiber Reinforced Concrete with Recycled and Industrial Steel Fibers

Caggiano

Folino

Lima

et al. 2017

Construction and Building Materials

149

View full text Add to dashboard Cite

This paper summarizes the results of an experimental research on “sustainable” cementitious composites internally reinforced with industrial and recycled steel fibers, the latter being recovered from waste tires and employed in substitution and/or addition of the industrial steel ones. Specifically, six concrete mixtures including different amount of industrial/recycled steel fibers were produced and tested both in compression and bending. The obtained results confirm the promising prospects already observed by the authors in a previous study on concrete reinforced with recycled steel fibers obtained from waste tires. Furthermore, they clearly demonstrate that industrial fibers can be replaced by an equal amount of recycled ones without a significant decay in the relevant mechanical properties, provided that the recycled fibers present adequate geometrical characteristics

show abstract

Section: Introductionmentioning

confidence: 99%

On the mechanical response of Hybrid Fiber Reinforced Concrete with Recycled and Industrial Steel Fibers

Caggiano

Folino

Lima

et al. 2017

Construction and Building Materials

149

View full text Add to dashboard Cite

show abstract

“…Nowadays, sustainable development and environmental safety are two topics that are of paramount concern to researchers, particularly within developed nations. The materials used in the construction sector will have a direct effect on energy consumption, CO 2 emissions, conservation of natural resources, and landfill waste produced by a building project [ 1 , 2 ]. Several ecological issues are central to the construction materials industry, including the rapid depletion of the river sand and crushed gravel-based natural aggregate and overexploitation of the ordinary Portland cement (OPC), leading to the release of excess amounts of carbon dioxide.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Modified Rubberized Concrete Exposed to Aggressive Environments

et al. 2021

View full text Add to dashboard Cite

Recycling of the waste rubber tire crumbs (WRTCs) for the concretes production generated renewed interest worldwide. The insertion of such waste as a substitute for the natural aggregates in the concretes is an emergent trend for sustainable development towards building materials. Meanwhile, the enhanced resistance of the concrete structures against aggressive environments is important for durability, cost-saving, and sustainability. In this view, this research evaluated the performance of several modified rubberized concretes by exposing them to aggressive environments i.e., acid, and sulphate attacks, elevated temperatures. These concrete (12 batches) were made by replacing the cement and natural aggregate with an appropriate amount of the granulated blast furnace slag (GBFS) and WRTCs, respectively. The proposed mix designs’ performance was evaluated by several measures, including the residual compressive strength (CS), weight loss, ultrasonic pulse velocity (UPV), microstructures, etc. Besides, by using the available experimental test database, an optimized artificial neural network (ANN) combined with the particle swarm optimization (PSO) was developed to estimate the residual CS of modified rubberized concrete after immersion one year in MgSO4 and H2SO4 solutions. The results indicated that modified rubberized concrete prepared by 5 to 20% WRTCs as a substitute to natural aggregate, provided lower CS and weight lose expose to sulphate and acid attacks compared to control specimen prepared by ordinary Portland cement (OPC). Although the CS were slightly declined at the elevated temperature, these proposed mix designs have a high potential for a wide variety of concrete industrial applications, especially in acid and sulphate risk.

show abstract

“…Although there is a huge potential in the substitution of aggregates with waste rubber, the weakness in the mechanical properties and the durability of concrete due to the poor performance of rubber in bonding cement particles has been mentioned [11][12][13][14]. Thus, various methods for improving the durability and the mechanical properties of concrete have been proposed.…”

Section: Introductionmentioning

confidence: 99%

Machine Learning Aided Design and Prediction of Environmentally Friendly Rubberised Concrete

et al. 2021

View full text Add to dashboard Cite

Not only can waste rubber enhance the properties of concrete (e.g., its dynamic damping and abrasion resistance capacity), its rational utilisation can also dramatically reduce environmental pollution and carbon footprint globally. This study is the world’s first to develop a novel machine learning-aided design and prediction of environmentally friendly concrete using waste rubber, which can drive sustainable development of infrastructure systems towards net-zero emission, which saves time and cost. In this study, artificial neuron networks (ANN) have been established to determine the design relationship between various concrete mix composites and their multiple mechanical properties simultaneously. Interestingly, it is found that almost all previous studies on the ANNs could only predict one kind of mechanical property. To enable multiple mechanical property predictions, ANN models with various architectural algorithms, hidden neurons and layers are built and tailored for benchmarking in this study. Comprehensively, all three hundred and fifty-three experimental data sets of rubberised concrete available in the open literature have been collected. In this study, the mechanical properties in focus consist of the compressive strength at day 7 (CS7), the compressive strength at day 28 (CS28), the flexural strength (FS), the tensile strength (TS) and the elastic modulus (EM). The optimal ANN architecture has been identified by customising and benchmarking the algorithms (Levenberg–Marquardt (LM), Bayesian Regularisation (BR) and Scaled Conjugate Gradient (SCG)), hidden layers (1–2) and hidden neurons (1–30). The performance of the optimal ANN architecture has been assessed by employing the mean squared error (MSE) and the coefficient of determination (R2). In addition, the prediction accuracy of the optimal ANN model has ben compared with that of the multiple linear regression (MLR).

show abstract

Abrasion resistance of sustainable green concrete containing waste tire rubber particles

Cited by 103 publications

References 19 publications

On the mechanical response of Hybrid Fiber Reinforced Concrete with Recycled and Industrial Steel Fibers

On the mechanical response of Hybrid Fiber Reinforced Concrete with Recycled and Industrial Steel Fibers

Performance Evaluation of Modified Rubberized Concrete Exposed to Aggressive Environments

Machine Learning Aided Design and Prediction of Environmentally Friendly Rubberised Concrete

Contact Info

Product

Resources

About