Tunnel flexibility effect on the ground surface acceleration response

Baziar, Mohammad Hassan; Moghadam, Masoud Rabeti; Choo, Yun Wook; Kim, Dong-Soo

doi:10.1007/s11803-016-0336-y

Cited by 28 publications

(4 citation statements)

References 21 publications

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“…In previous dynamic centrifuge tests, the models structures were made of metal, [34][35][36][37][38][39][40] particulate concrete, [17][18][19][20][21][22][23]41 or lowstrength particulate concrete. 23,42 Referring to above references, it was found that the metal materials and normal particle concrete were difficult to damage in the model test, so they were not suitable to study the damage issues of structure.…”

Section: Preparation Of Model Structurementioning

confidence: 99%

Seismic response and failure mechanism of underground frame structures based on dynamic centrifuge tests

Zhang

et al. 2021

Earthq Engng Struct Dyn

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During the 1995 Kobe earthquake in Japan, the Daikai subway station suffered total collapse, which made the research on the seismic failure mechanism of underground frame structures become a hot topic. The author has carried out a lot of research on earthquake failure mechanism of underground frame structures based on numerical method. To validate and further study the seismic failure response and mechanism of underground frame structures, a series of comparative dynamic centrifuge tests were carried out. The research conclusions are as follows. The vertical earthquake action significantly increased the axial pressure on the columns of an underground frame structure, reducing their horizontal deformation capacity. The columns subjected to high axial compression were prone to brittle damage under a relatively strong horizontal earthquake, which led to the overall collapse of an underground frame structure. The areas near the intersection of the ceiling slab and the sidewalls were the weak part of the underground frame structure and were vulnerable to tensile cracks under earthquake. The columns' top and bottom were the fragile parts and were prone to concrete cracking or even shear failure under an earthquake. If the columns could remain intact and effectively provided vertical support under a strong earthquake, it was beneficial to reduce the risk of the overall collapse of an underground frame structure. K E Y W O R D Sdifferent deformation capacity of top slab and columns, dynamic centrifuge test, seismic failure response and mechanism, underground frame structure, vertical earthquake action

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Section: Preparation Of Model Structurementioning

confidence: 99%

Seismic response and failure mechanism of underground frame structures based on dynamic centrifuge tests

Zhang

et al. 2021

Earthq Engng Struct Dyn

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“…They confirmed that cavities significantly influenced ground motion at high frequencies. In this context, many researchers have explored the cavity or tunnel effect on seismic ground response under body waves through various methods, such as analytical methods [8][9][10], numerical simulations [11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26], and model tests [27][28][29][30]. Due to the complexity involved in wave propagation and limitations in modeling complicated systems of equations, numerical techniques are more effective compared to analytical and model tests for the parametric study of ground vibration problems [31].…”

Section: Introductionmentioning

confidence: 99%

A numerical study on effect of underground cavities on seismic ground response due to Rayleigh wave propagation

2023

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Recent studies found that some structural damage can be attributed to the effect of surface waves. A shallow underground structure may be heavily influenced by surface waves, which makes to lose energy over distance more slowly than body waves. This study deals with evaluating the effect of Rayleigh waves (R-waves) interaction with underground cavities on the seismic ground response and amplification pattern using the Finite Element Method (FEM). First, the FEM model was verified to ensure its accuracy. Then, the influences of the effective parameters, such as cavity burial depth, distance from the cavity axis, and dimensionless incident frequency were investigated. Parametric studies revealed that the amplitude of ground motion is greater in the presence of a cavity with respect to that in the free-field condition. It was indicated that shallow cavities cause more amplification than cases with a larger depth ratio. By moving away from the wave source, the response of receiver points has a declining trend. Due to the complex interaction of R-waves with a cavity, the right side of the cavity has less amplitude than the left side. Finally, by increasing the dimensionless incident frequency, the distribution of the surface displacements and wave diffraction patterns gradually becomes more complicated while the peak displacement components decrease. Consequently, in light of the importance of the R-wave interaction with subsurface spaces, the findings of this study can help improve seismic design procedures and seismic microzonation guidelines.

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“…The next category of research is numerical studies. Most numerical studies using finite element methods and finite difference methods have investigated surface settlement and subterraneous displacement due to tunneling [21][22][23][24][25][26][27][28][29]. Finally, artificial intelligence research and neural networks are used in most studies today.…”

Section: Introductionmentioning

confidence: 99%

Numerical and artificial neural network analyses of ground surface settlement of tunnel in saturated soil

Ghiasi

Koushki

2020

SN Appl. Sci.

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The main purpose of this research is to predict the ground surface settlement in tunneling of a single circular tunnel with simultaneous changes in the mechanical properties of soil and geometrical properties of the tunnel section. In this research, numerical and parametric analysis of circular tunneling in frictional-cohesive saturated soil has been investigated using 2D finite element method by ABAQUS. In other words, the behavior of ground surface, considering to change the different values of depth-to-diameter ratio (H/D), soil cohesion, internal friction angle, permeability coefficient, and the influence of these variables on settlement of surface in each model, has been separately evaluated. Then, a multilayer perceptron (MLP) artificial neural network is designed to predict the ground surface settlement. MLP is a type of feedforward artificial neural network utilizing backpropagation technique for training phase, and the Levenberg-Marquardt method is used to reduce the errors and the distance between the network outputs and finite element method results. There are some independent variables in the input layer and a dependent variable in the output layer. The middle layer consists of seven neurons. Finally, the high potential of the artificial neural network with a correlation coefficient of 0.98 is shown in the prediction of ground surface settlement.

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Tunnel flexibility effect on the ground surface acceleration response

Cited by 28 publications

References 21 publications

Seismic response and failure mechanism of underground frame structures based on dynamic centrifuge tests

Seismic response and failure mechanism of underground frame structures based on dynamic centrifuge tests

A numerical study on effect of underground cavities on seismic ground response due to Rayleigh wave propagation

Numerical and artificial neural network analyses of ground surface settlement of tunnel in saturated soil

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