Ductility performance of reinforced rubberised concrete beams incorporating burnt clay powder

Sinkhonde, David; Onchiri, Richard Ocharo; Oyawa, Walter O.; Mwero, John

doi:10.1016/j.heliyon.2021.e08310

Cited by 11 publications

(3 citation statements)

References 34 publications

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“…The second objective is to achieve concrete with the highest compressive strength. Multi-objective optimization problems can be formulated mathematically as shown in equations (2-1) to (2)(3)(4). • represents the number of variables.…”

Section: -4-6 Other Neural Network Settingsmentioning

confidence: 99%

“…This phenomenon increases the area under the stress-strain curve (except for the initial linear region), representing concrete's ductility [2]. Ductility, defined as the ability of concrete to withstand inelastic deformation without significant loss of strength, plays a crucial role in the performance of concrete structures [3,4]. This property is significant for dynamic and seismic loads, so it interests researchers and engineers greatly.…”

Section: -Introductionmentioning

confidence: 99%

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A Novel Evolutionary Algorithm-Based Approach for Optimizing the Mix Design of High-Performance Fiber-Reinforced Concrete (HPFRCC)

yeganeh,

hojatkashani,

Nezamabadi

et al. 2024

Preprint

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With the increasing demand for high-performance concrete, optimizing the design of high-performance alloy-armed compounds (HPFRCC) has become a major challenge. Optimizing the mix design enables the achievement of the desired stability and ductility. This study offers an innovative way to overcome this challenge using artificial intelligence (AI). Our method uses artificial neural networks (ANN) to model the relationship between the mixed component and final HPFRCC properties. Then, we explored a wide design space using advanced distribution algorithms to determine the best combination. These algorithms are inspired by nature, such as the evolutionary algorithm (EO), which replicates the scientific evolutionary process. This study significantly reduces the need for laboratory testing by employing innovative methodologies. This significant achievement significantly optimizes design time and cost. In addition, by comprehensively comparing EO performance with other similar algorithms, the excellence and innovation of the method were demonstrated in optimizing the complex design of the HPFRCC mixture, and a new multitarget optimization algorithm called FC-MOEO/AE was used to predict the HPFRCC combination. This method can be used as a design guide to guide decision-making in the pre-construction stage.

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Section: -4-6 Other Neural Network Settingsmentioning

confidence: 99%

Section: -Introductionmentioning

confidence: 99%

A Novel Evolutionary Algorithm-Based Approach for Optimizing the Mix Design of High-Performance Fiber-Reinforced Concrete (HPFRCC)

yeganeh,

hojatkashani,

Nezamabadi

et al. 2024

Preprint

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show abstract

“…This improvement in ductility is accompanied by a 15.31% decrease in bending load. The beam with 5% burnt clay brick powder and 10% CR that failed in the shear and flexure test had 14.59% more ductility and 16.33% less load than the reference beam [12]. The rubber is heated at 200 °C before being put into concrete.…”

Section: Introductionmentioning

confidence: 99%

A New Approach for Producing Sustainable Concrete by Incorporating Treated Waste Rubber

Ahmed

2023

Fayoum University Journal of Engineering

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Recently, the increasing number of used tires in landfills has become a major issue. The tire waste is burned, which results hazardous gases that further affect the earth's natural ecosystem. The main objective of this research is to investigate the partial replacement feasibility of fine and coarse aggregates with treated crumb rubber on fresh and hardened characteristics of concrete. This is reducing the consumption of natural resources utilized in concrete. Total aggregates were replaced by crumb rubber (CR) in the concrete mixture at ratios of 2.5%, 5%, 7.5%, and 10% by volume. CR particles were treated by two methods, the first method is soaking in water and the second method is treating by placing CR particles in benzene. The findings indicated that the compressive strength decreased by 20%, 31.67%, 43.33%, and 53.33% than that of the reference mix at 28 days of curing in the case of water treatment, while it decreased by 10%, 16.67%, 33.33%, and 40% in the case of benzene treatment at the ratios of CR 2.5%, 5%, 7.5%, and 10%, respectively. The increase in CR content reduced the modulus of rupture of mixes by 11.6%, 20.9%, 34.9%, and 44.18% in the case of treating CR particles with benzene at ratios of CR 2.5%, 5%, 7.5%, and 10%, respectively. The modulus of elasticity decreased with a higher ratio of CR particles making concrete containing CR suitable for use in pavement, playgrounds, and machine bases. The mixture with the replacement of 2.5% CR of total aggregates and treated with benzene was considered the best mixture containing rubber as it had a little reduction in strength of compressive, modulus of rupture, and indirect tensile with comparison to the reference mix. When the ratio of CR particles was increased, the density of the mixtures decreased.

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A study on structural behaviour of CFRP laminated concrete beam with partial replacement of fine aggregate by PET granules

et al. 2022

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Ductility performance of reinforced rubberised concrete beams incorporating burnt clay powder

Cited by 11 publications

References 34 publications

A Novel Evolutionary Algorithm-Based Approach for Optimizing the Mix Design of High-Performance Fiber-Reinforced Concrete (HPFRCC)

A Novel Evolutionary Algorithm-Based Approach for Optimizing the Mix Design of High-Performance Fiber-Reinforced Concrete (HPFRCC)

A New Approach for Producing Sustainable Concrete by Incorporating Treated Waste Rubber

A study on structural behaviour of CFRP laminated concrete beam with partial replacement of fine aggregate by PET granules

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