Determination of Young's modulus of jet grouted coalcretes using an intelligent model

Yuantian Sun, Junfei Zhang, Guichen Li, Guowei Ma, Yimiao Huang, Junbo Sun, Yuhang Wang, Brett Nener

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

The coalcrete, a new supporting material produced by jet grouting (JG) technique was firstly studied for improving soft coal mass to support roadways in Guobei coal mine, China. Young's modulus is an essential indicator to evaluate the deformation-resisting ability of coalcretes. In this study, for determining Young's modulus of coalcretes efficiently, an intelligent technique was proposed using the support vector machine (SVM) and beetle antennae search (BAS). The hyper-parameters of SVM were firstly tuned by BAS, and then the SVM-BAS model with optimum hyper-parameters was employed to model the non-linear relationship between the inputs (coal content, water content, cement content, and curing time) and output (Young's modulus). By combining these variables, 360 coalcrete samples in total were prepared and tested for establishing the dataset. The results show that BAS is more reliable and efficient than the trial–and–error tuning method. Moreover, by comparison with other baseline models such as back-propagation neural network (BPNN), logistic regression (LR) and multiple linear regression (MLR), the optimized SVM-BAS model is more reliable, accurate and less time consuming for predicting Young's modulus of coalcretes. Besides, by conducting sensitivity analysis (SA), the importance of different input variables was determined. This pioneering work provides guidelines for predicting Young's modulus of coalcretes and designing proper JG parameters in engineering applications.

Original languageEnglish
Pages (from-to)43-53
Number of pages11
JournalEngineering Geology
Volume252
DOIs
Publication statusPublished - 26 Mar 2019

Fingerprint

Young modulus
antenna
beetle
Elastic moduli
Support vector machines
Antennas
Grouting
grouting
Roadway supports
coal
Bituminous coal
back propagation
Backpropagation
Coal mines
Linear regression
coal mine
Water content
Sensitivity analysis
sensitivity analysis
Curing

Cite this

Sun, Yuantian ; Zhang, Junfei ; Li, Guichen ; Ma, Guowei ; Huang, Yimiao ; Sun, Junbo ; Wang, Yuhang ; Nener, Brett. / Determination of Young's modulus of jet grouted coalcretes using an intelligent model. In: Engineering Geology. 2019 ; Vol. 252. pp. 43-53.
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Determination of Young's modulus of jet grouted coalcretes using an intelligent model. / Sun, Yuantian; Zhang, Junfei; Li, Guichen; Ma, Guowei; Huang, Yimiao; Sun, Junbo; Wang, Yuhang; Nener, Brett.

In: Engineering Geology, Vol. 252, 26.03.2019, p. 43-53.

Research output: Contribution to journalArticle

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AU - Li, Guichen

AU - Ma, Guowei

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