Methane explosion accidents of tunnels in SW China

He, Siyue; Su, Linjian; Fan, Haobo; Rui, R.

doi:10.1080/19475705.2018.1541826

Cited by 47 publications

(23 citation statements)

References 48 publications

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“…The nonparametric approach includes artificial neural networks (ANNS) [13][14][15][16][17], k-nearest neighbor (KNN) [18][19][20][21][22], support vector regression (SVR) [23,24], and the Bayesian model [25,26]. The hybrid approach mainly combines the parametric approach with the nonparametric approach [27][28][29][30][31][32][33][34][35]. Vlahogianni et al [36] summarized existing traffic flow prediction algorithms, and readers interested in details of the models that apply to the field of traffic prediction could refer to their review paper as a reference.…”

Section: Introductionmentioning

confidence: 99%

Traffic Flow Prediction during the Holidays Based on DFT and SVR

Luo

Zhang

2019

Journal of Sensors

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With the implementation of the freeway free policy during the holidays, traffic congestion in the freeway becomes a common phenomenon. In order to alleviate traffic pressure, traffic flow prediction during the holidays has become a problem of great concern. This paper proposes a hybrid prediction methodology combining discrete Fourier transform (DFT) with support vector regression (SVR). The common trend in the traffic flow data is extracted using DFT by setting an appropriate threshold, which is predicted by extreme extrapolation of the historical trend. The SVR method is applied to predict the residual series. The experimental results with measured data collected from the toll stations in Jiangsu province of China show that the proposed algorithm has higher accuracy compared with the traditional method, and it is an efficient method for traffic flow prediction during the holidays.

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Section: Introductionmentioning

confidence: 99%

Traffic Flow Prediction during the Holidays Based on DFT and SVR

Luo

Zhang

2019

Journal of Sensors

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“…As loess has inherent strength, the vertical load of surrounding rock in the shallow tunnel was smaller than that in the deep one, and the vertical deformation was larger than the horizontal one. With the increase of tunnel depth, the soil pressure increased as well, and the initial stress was gradually dominated by tectonic stress, causing the increment of horizontal and vertical deformations [54][55][56][57][58][59]. Finally, horizontal and vertical deformations tended to be equal and CS/ HC tends to be a constant.…”

Section: Discussion On Regression Analysismentioning

confidence: 97%

Statistical Analysis of Influence of Cover Depth on Loess Tunnel Deformation in NW China

Lai

et al. 2019

Advances in Civil Engineering

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Loess is a kind of special soil with structure and hydrocollapse behavior; due to the particularity of loess, the deformation regularity of the tunnel in loess shows different characteristics from those in rock. To ensure the safety of construction, crown settlement (CS) and horizontal convergence (HC) are widely used to assess the stability of the tunnel structural system. Based on statistical analysis, this study focused on analyzing the influence of cover depth on the deformation of surrounding rock of loess tunnels by ANOVA, and relationships between them were presented by regression analysis. The achieved results indicated that the influence of cover depth on deformation was not obvious in shallow tunnels, while the cover depth had a significant effect on deformation in deep tunnels. Based on the difference of influence of cover depth on deformation between shallow tunnels and deep tunnels, a method for determining the cover depth threshold (CDT) in the tunnel by statistical analysis was proposed. The horizontal and vertical deformations in shallow tunnels were discrete and obeyed the positive distribution, mainly concentrated within 200 mm. The deformation allowance in shallow tunnels was recommended to be 200 mm. In deep tunnels, as the cover depth increased, the deformation increased linearly, while the CS/HC decreased.

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“…On the one hand, according to the situation of Xi'an subway planning, most of the upper layers of subway construction are new loess which have physical features such as high void ratio, incomplete consolidation, and low strength [16][17][18][19][20][21][22]. On the other hand, there are lots of ground fissures in Xi'an, so the disturbance of tunnel construction will inevitably lead to large strata deformation [23][24][25][26][27]. During the deformation process, the leakage of urban pipelines will easily lead to large-scale collapsibility of loess strata.…”

Section: Introductionmentioning

confidence: 99%

Structural Response of the Metro Tunnel under Local Dynamic Water Environment in Loess Strata

et al. 2019

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The reasons, prevention, and control of loess disaster are of great concern in practice. In recent years, Xi’an city, China, has taken the leadership in large-scale construction of subway lines in the loess strata. To study the structural response of the tunnel in loess region under local hydrodynamic environment, an experimental testing in 1g as well as a numerical simulation were performed, in which the achieved results were verified and were found to be in good agreement. Furthermore, the results showed that when the water outlet point is above the lining, the overall stress of the lining is “peanut shell,” as the water pressure of the outlet point decreases, the tensile stress of the top and bottom of the lining increases, while the compressive stress on both sides decreases; the channel form of the flow to the lining changes with the variation of the position of the water outlet point. It is worth mentioning that in the process of water gushing, the closer to the water source, the greater surface subsidence is, and there is a positive correlation between water pressure and surface subsidence. This study is of significant benchmark for the construction, maintenance, and prevention of tunnel in loess strata under the influence of water environment.

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Methane explosion accidents of tunnels in SW China

Cited by 47 publications

References 48 publications

Traffic Flow Prediction during the Holidays Based on DFT and SVR

Traffic Flow Prediction during the Holidays Based on DFT and SVR

Statistical Analysis of Influence of Cover Depth on Loess Tunnel Deformation in NW China

Structural Response of the Metro Tunnel under Local Dynamic Water Environment in Loess Strata

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