Mechanical properties of soilcrete mixtures modified with metakaolin

Kolovos, Konstantinos G.; Asteris, Panagiotis G.; Cotsovos, Demetrios M.; Badogiannis, Efstratios; Tsivilis, S.

doi:10.1016/j.conbuildmat.2013.06.008

Cited by 66 publications

(44 citation statements)

References 36 publications

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“…A detailed description of the experimental set-up is given by Kolovos [2,3,4]. Data and results within the provided research database (Table 1) present the measured compressive strength

(f_{c})

at 28 days, as well as the modulus of elasticity (Figure 3) of a large set of cylindrical specimens (134) with a height-to-diameter ( h / d ) ratio equal to 2 ( h / d = 2) which have been tested under uniaxial compression.…”

Section: Resultsmentioning

confidence: 99%

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

Asteris

Roussis

Douvika

2017

Sensors

146

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This work presents a soft-sensor approach for estimating critical mechanical properties of sandcrete materials. Feed-forward (FF) artificial neural network (ANN) models are employed for building soft-sensors able to predict the 28-day compressive strength and the modulus of elasticity of sandcrete materials. To this end, a new normalization technique for the pre-processing of data is proposed. The comparison of the derived results with the available experimental data demonstrates the capability of FF ANNs to predict with pinpoint accuracy the mechanical properties of sandcrete materials. Furthermore, the proposed normalization technique has been proven effective and robust compared to other normalization techniques available in the literature.

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“…A detailed description of the experimental set-up is given by Kolovos [2,3,4]. Data and results within the provided research database (Table 1) present the measured compressive strength

(f_{c})

Section: Resultsmentioning

confidence: 99%

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

Asteris

Roussis

Douvika

2017

Sensors

146

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“…The columns have a special performance with higher strength and lower deformability, which was called soilcrete or sandcrete. [15][16][17][18] The physical and mechanical properties of these materials were studied by many scholars. Recently, the JG technique was tried in soft coal mass to form a stable "coalcrete" column in the underground coal roadway.…”

Section: Introductionmentioning

confidence: 99%

Experimental and numerical investigation on a novel support system for controlling roadway deformation in underground coal mines

Sun

Zhang

et al. 2019

Energy Science & Engineering

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Roadway stability in extremely soft coal mass is a typical challenge in deep underground mines, as the most widely adopted support structure such as rock bolting, compound support system normally fails. This paper proposed a novel prereinforcement method for coal roadway, that is, jet grouting (JG) technique, to improve the quality of surrounding soft coal mass and form a stable support structure namely jet grouted coalcrete. The field and laboratory tests were conducted for evaluating the applicability of JG and the mechanical parameters of coalcrete. A numerical model was verified by comparing the calculated results with field measurements. According to the confirmed model, three typical JG support schemes were performed to assess the roadway stability after JG. The results showed that the proposed JG schemes can reduce the deformation and failure zone of the roadway and optimize the stress states around the roadway. The mechanism related to these advantages was investigated.This study provides a promising idea for supporting soft coal roadway in deep underground coal mines, which can promote the JG application in the field. K E Y W O R D Scoalcrete, jet grouting technique, numerical modeling, roadway stability, soft coal mass

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“…The mdds for mix ratios 1:0 and 1:3 also had almost the same value of 1.975 kg/m 3 and 1.974 kg/m 3 respectively. The soil stabilised with binder mix ratio 1:1 had mdd of 1.983 kg/m 3 . The mdds at 5%, and 7.5% also showed similar tendencies.…”

Section: Graph Of Omc -Stabilised A-1-a Soil (Sample B) 3b áBra Stmentioning

confidence: 99%

“…The increasing emission of environmentally detrimental CO 2 , a Green House Gas (GHG) in the cement manufacturing and consumption processes has been considered as one of the contributors to environmental pollution and global warming [1,2,3]. In this regards, attempts have been made to find suitable replacements for cement.…”

Section: Introductionmentioning

confidence: 99%

“…The emergence of substances such as fly ash, silica fume, various biomass ash and geopolymers among others have been a response to this drive [1,2,3,4]. These supplementary cementitious materials (SCMs) or pozzolans are compounds of silicates or aluminosilicates, which reacts with calcium hydroxide (Ca(OH) 2 ) from the cement to form cementitious compound [2,3,4]. They could be adopted in replacing cement (partially and sometimes wholly) in civil engineering works.…”

Section: Introductionmentioning

confidence: 99%

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Compaction characteristics of lateritic soils stabilised with cement-calcined clay blends

Ayininuola¹,

Adekitan²

2017

Epitoanyag - JSBCM

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investigations on the potentials of pozzolans -silicate and aluminate materials -in civil engineering works is on the rise. calcined kaolinite clay (ckc) is one of such pozzolans that has been regarded as an option for mitigating the release of greenhouse gases from cement. While investigations on its use with cement in concrete works is widespread, there is a gap in literature about its impact as a soil stabiliser for flexible road pavements. this work studies the compaction behaviour of two lateritic soils stabilised with a blend of Portland cement (Pc) and ckc combined in ckc:Pc ratios of 0:1, 1:3, 1:1, 3:1 and 1:0 with total binder percentages of 0 (control), 2.5, 5, 7.5 and 10 of the weight of soils. ckc was obtained by calcining clay samples sourced from south-west nigeria at 700°c for 1 hour. two lateritic soils samples were adopted and classified as A-1-a and A-2-6 based on AAsHto system. corresponding fineness modulus were 2.18 and 4.33 with cation exchange capacities (cecs) of 1.678 meq/100 gms and 1.738 meq/100 gms respectively. the results show that, as the ckc:Pc mixes varies, compaction behaviour of the stabilised A-2-6 soil was widely varied whereas it was minimally varied for the stabilised A-1-a soil. the differences in the particle sizes (fineness modulus) and cec are adduced as factors responsible for these differences in compaction behaviour. However, the cecs of the soils is about the same. thus, the differences in compaction performance could only be attributed to differences in the particles sizes of the soils. statistical evaluation of differences in the results using AnovA confirms that the differences for the A-2-6 soil are significant whereas that of the A-1-a soil are not.

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Mechanical properties of soilcrete mixtures modified with metakaolin

Cited by 66 publications

References 36 publications

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

Feed-Forward Neural Network Prediction of the Mechanical Properties of Sandcrete Materials

Experimental and numerical investigation on a novel support system for controlling roadway deformation in underground coal mines

Compaction characteristics of lateritic soils stabilised with cement-calcined clay blends

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