Effect of natural pozzolan and recycled concrete aggregates on thermal and physico-mechanical characteristics of self-compacting concrete

Omrane, Mohammed; Rabehi, Mohamed

doi:10.1016/j.conbuildmat.2020.118576

Cited by 38 publications

(11 citation statements)

References 30 publications

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“…Ultrasonic wave velocity decayed at different rates in coal-like materials with different coal particle sizes because it was related to the porosity and aggregate size (coal and sand particles) of samples. Ultrasonic waves produced reflection, transmission, and multiple scattering at the interface between the aggregates and cementing material, and the bypassing phenomenon will appear when encountering pores, resulting in attenuation of ultrasonic wave velocity . Porosity is one of the most important factors influencing ultrasonic wave velocity …”

Section: Resultsmentioning

confidence: 99%

Experimental Study on the Effect of Coal Particle Size on the Mechanics, Pore Structure, and Permeability of Coal-like Materials for Low-Rank Coalbed Methane Reservoir Simulation

Zheng

Zhai

et al. 2021

Energy Fuels

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Coal-like materials have been widely used to simulate low-rank coalbed methane (CBM) reservoirs to develop fracturing stimulation technology since the transportation and preparation of low-rank coal produce easily secondary damages, causing large dispersion of test results. However, the coal particle sizes have a significant effect on the performance of coal-like materials among many factors. Hence, to accurately simulate lowrank CBM reservoirs for promoting the development of reservoir stimulation technologies, cement, gypsum, pulverized coal, and sand were selected as similar materials to make coal-like samples with different coal particle sizes to study the influence law of coal particle size on the mechanics, pore structure, and permeability of samples. The ultrasonic wave velocity, dynamic parameters, uniaxial compressive strength, elastic modulus, and uniaxial tensile strength of samples increased with increasing coal particle size in the range of 0−2 mm. However, these parameters suddenly decreased when the coal particle size increased to 2−3 mm. The porosity and permeability of the samples exhibited an opposite trend compared to the above parameters. The fracture occurred in cementing materials, and the crack extension direction was affected by the coal particle sizes. The fracture complexity of the coal-like samples decreased with increasing particle size under uniaxial compressive testing. The failure mode was mainly a tensile failure, supplemented by shear failure. The coal-like materials can well meet the performance requirements of low-rank CBM reservoirs.

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Section: Resultsmentioning

confidence: 99%

Experimental Study on the Effect of Coal Particle Size on the Mechanics, Pore Structure, and Permeability of Coal-like Materials for Low-Rank Coalbed Methane Reservoir Simulation

Zheng

Zhai

et al. 2021

Energy Fuels

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“…Locally available natural materials have been successfully used as supplementary cementitious materials (SCMs) in several studies [16][17][18][19][20][21][22]. The main advantage of SCMs is that they reduce cement usage by as much as 30% [2,23].…”

Section: Introductionmentioning

confidence: 99%

Modeling Compressive Strength of Eco-Friendly Volcanic Ash Mortar Using Artificial Neural Networking

et al. 2021

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Forecasting the compressive strength of concrete is a complex task owing to the interactions among concrete ingredients. In addition, an important characteristic of the concrete failure surface is its six-fold symmetry. In this study, an artificial neural network (ANN) and adaptive neuro fuzzy interface system (ANFIS) were employed to model the compressive strength of natural volcanic ash mortar (VAM) by using the six-fold symmetry of concrete failure. The modeling was correlated with four parameters. To train and test the projected models, data for more than 150 samples were collected from the literature. Furthermore, mortar samples with varying proportions of volcanic ash were prepared in the laboratory and tested, and the results were used to validate the models. The performance of the developed models was assessed using numerous statistical measures. The results show that both the ANN and ANFIS models accurately predict the compressive strength of VAM with R-square above 0.9 and lower error statistics. The permutation feature analysis confirmed that the age of specimens affects the strength of VAM the most, followed by the water-to-cement ratio, curing temperature, and percentage of volcanic ash.

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“…At present, research on CW mainly focuses on CW management (Jia and Yan, 2018; Liu et al, 2014; Wang et al, 2014; Won et al, 2016), CW recycling (Akinkurolere et al, 2013; Li and Zhai, 2015; Su and Wang, 2018; Sun et al, 2016), reuse of the physical components of CW (Huang et al, 2017; Lai et al, 2017; Omrane and Rabehi, 2020), the environmental impact of CW (Liu et al, 2018a; Yahya et al, 2016), and status of CW (Menegaki and Damigos, 2018; Yang et al, 2013; Ying and Jian, 2010). He et al (2018) did a quantitative analysis of the status of CW in the PRC by means of material flow analysis and analysed the weak links of CW recycling with the application of whole-process management theory; however, they did not analyse the factors affecting the output of CW.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal evolution law and output prediction of construction waste in the People’s Republic of China

2021

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Based on the relevant data of construction waste (CW) in the People’s Republic of China (PRC) from 2010 to 2018, this study applied K-means clustering algorithm and grey prediction methods to systematically investigate the spatiotemporal characteristic distribution and provincial clustering of CW in the PRC, and predicted the annual output of CW in the next five years from the scientific perspective. Results showed that the annual output of CW in the PRC displayed an overall trend of “rising first and then falling” and “being high in the middle east and low in the northwest,” and the areas with obvious agglomeration gradually spread from the west to the middle and eastern regions. The law of development was consistent with the goals of the Chinese government to promulgate urban agglomeration development policies, prefabricated building encouragement policies, and CW management regulations. In the next five years, the annual output of CW in the PRC will increase by a small margin. Thus, all aspects of CW resource management should be conducted in a planned and step-by-step manner.

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Effect of natural pozzolan and recycled concrete aggregates on thermal and physico-mechanical characteristics of self-compacting concrete

Cited by 38 publications

References 30 publications

Experimental Study on the Effect of Coal Particle Size on the Mechanics, Pore Structure, and Permeability of Coal-like Materials for Low-Rank Coalbed Methane Reservoir Simulation

Experimental Study on the Effect of Coal Particle Size on the Mechanics, Pore Structure, and Permeability of Coal-like Materials for Low-Rank Coalbed Methane Reservoir Simulation

Modeling Compressive Strength of Eco-Friendly Volcanic Ash Mortar Using Artificial Neural Networking

Spatiotemporal evolution law and output prediction of construction waste in the People’s Republic of China

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