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        A Rock Mass Strength Prediction Method Integrating Wave Velocity and Operational Parameters based on the Bayesian Optimization Catboost Algorithm

        Yaxu Wang,Ruirui Wang,Jiwen Wang,Ningbo Li,Hongyi Cao 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.7

        Tunnel Boring Machines (TBMs) have been the main equipment for tunneling and underground construction due to their high safety performance and tunneling efficiency. However, the unknown and changing geological conditions during construction pose a challenge to TBM construction. As one of the essential parameters of rock properties, accurate acquisition of uniaxial compressive strength (UCS) is crucial for TBMs to adapt to changing ground conditionsin a timely manner. Therefore, this study proposes a Catboost intelligent model based on Bayesian Optimization to predict UCS. Rock mass are velocity information and key TBM operational parameters are used as model input variables. The Gaussian data augmentation method is used to compensate for the difficulty of obtaining field data in large quantities. The Zhujiang Delta Water Resources Allocation Engineering field data are used in the model, and the obtained evaluation indicators MAPE, RMSE, VAF and a20-index are obtained as 9.91%, 499.38 MPa, 90.7% and 0.95, respectively. In addition, another project is selected to verify the applicability of the model. The validation results also confirm that the model is valid and reliable when applied to practical engineering.

      • KCI등재

        A TBM Cutter Life Prediction Method Based on Rock Mass Classification

        Ruirui Wang,Yaxu Wang,Jianbin Li,Liujie Jing,Guangzu Zhao,Lichao Nie 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.9

        Cutter life is an important economical index for tunnel boring machines (TBM) excavation, and its prediction is widely concerned. This paper introduces a method for predicting cutter life on the basis of statistics and regression. Traditional researches only evaluate the average mileage or time interval of each cutter change. Differently, the proposed method can accurately predict the mileage position of each cutter relatively, on the premise of knowing the installment radius of each cutter and the rock properties along the tunnel. In this procedure, the influence of the rock classification and rock properties of each cutter passing area on their passing distance is obtained by linear regression. For proposing and verifying the prediction method, totally 1,200 records of cutter changing caused by normal cutter wear are collected from the 4th Section of Water Supply Project from Songhua River. Among them, randomly selected 920 samples are used to determine the regression coefficients involved in the method. The method is verified by the rest 280 samples, and a reliable predicted result is obtained (MAPE = 27%, and R2 = 0.69).

      • KCI등재

        Crystallization behavior of MgO-Al2O3-SiO2 glassceramics prepared by directly heat-treating of laterite ore smelting slag

        Ning Gao,Yaxu Chen,Chengyu Wang,Yanling Guo,Jieyu Zhang 한양대학교 세라믹연구소 2021 Journal of Ceramic Processing Research Vol.22 No.6

        In this paper, we proposed a novel method to prepare MgO-Al2O3-SiO2 (MAS) glass-ceramics through direct heat treatmentwith the slag of laterite ore. First, the Ni-Fe alloy and slag glass were prepared simultaneously by this method, and the yieldrate of Ni-Fe alloy was up to 95.69%. Then, the MAS glass-ceramics can be obtained by direct heat-treating for the slag glass. The energy consumption of glass-ceramics production was much lower than that in traditional method to make full use of thethermal energy of the molten slag. The crystallization behavior of the glass-ceramics was investigated by XRD, DSC andFESEM. The results demonstrate that many phase-separated droplets appear in the slag glass. During the heat treatment, thephase-separated droplets as favorable nucleation sites to inducing crystallization. The crystallinity and crystallite size of thesamples exhibits an increasing tendency with the increase of heat treatment temperature and time. The crystalline phases ofglass-ceramics were two different compositions magnesium aluminum silicates (MgAl2Si4O12 and (Mg,Al)SiO3). The activationenergies of the slag glass were calculated by Kissinger and Ozawa method, which were 308.81 and 309.36 kJ·mol-1, respectively. And the crystallization mechanism of the glass-ceramics was dominated by both the surface crystallization and bulkcrystallization with one-dimensional growth.

      • Measurement and Analysis of Burst Topic in Microblog

        Guozhong Dong,Xin Zou,Wei Wang,Yaxue Hu,Guowei Shen,Korawit Orkphol,Wu Yang 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.2

        Microblog provides the first communication platform for burst event due to the immediacy and interactivity of microblog. In this paper, we research on user-oriented and message-oriented measurements of burst topic in Sina microblog. The measurements and analysis on large-scale Sina microblog data set show that our proposed measurement method can measure the characteristics of user and message propagation in burst topic. The measurement results in this paper can describe the formation and diffusion mechanism of burst topic which will contribute to better research of relevant issues on burst topic and ensure the well-developed of microblog.

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