A generalized response spectrum method for seismic response analysis of underground structure combined with viscous-spring artificial boundary

Gao, Zhidong; Zhao, Mi; Du, Xiuli; Zhong, Zilan

doi:10.1016/j.soildyn.2020.106451

Cited by 38 publications

(19 citation statements)

References 28 publications

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“…The viscoelastic boundary could simulate the elastic recovery effect of a far-field foundation and had good stability under the action of seismic waves with low frequency and high frequency in previous studies [34][35][36]. In the seismic analysis of underground structures, the finite soil range is usually cut off and a reasonable artificial boundary is set to simulate the seismic reflection and damping effect of an infinite foundation.…”

Section: Three-dimensional Viscoelastic Boundarymentioning

confidence: 99%

Effect Mechanism of Connection Joints in Fabricated Station Structures

He¹,

Li²

2021

Applied Sciences

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The seismic response of a fabricated subway station is a complex structural connection problem that depends on the mechanical properties of the joints. In order to obtain the optimal joint distribution of a fabricated station structure under earthquake action, three finite element models of a single ring structure of fabricated subway stations assembled with seven, five, and four prefabricated components were proposed. Seismic wave characteristics, peak acceleration, and coupled horizontal and vertical seismic components were considered to study the seismic response of the fabricated subway station structure with different forms of the joint distribution. The dynamic time history method was used to analyze the seismic response in three aspects: structure plastic strain, interlayer relative deformation, and internal force. The damage indexes and residual strength indexes of the joints were offered based on the concrete damage index to evaluate the joints’ damage degree. The results showed that the joints of the vault or bottom plate had little influence on the seismic response of the fabricated station structure. The sidewall joints had the obvious seismic response and the most severe damage under horizontal ground motion or coupled ground motion, which were the weak joints of the fabricated station structure. The existence of vertical ground motion aggravated the damage degree of sidewall joints, making the damage occurrence time of sidewall joints earlier and the damage end time extended. On the premise of meeting the mechanical load and site requirements, an assembly scheme with fewer prefabricated components can be selected.

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Section: Three-dimensional Viscoelastic Boundarymentioning

confidence: 99%

Effect Mechanism of Connection Joints in Fabricated Station Structures

He¹,

Li²

2021

Applied Sciences

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“…In order to verify its reliability, the measured seismic waves of Koyna dam is used as input, and the Westergaard method is used to simulate hydrodynamic effects. After considering the dissipated energy of the system to the remote ground (Gao et al 2021), the seismic response damage analysis of the gravity dam body-reservoir-foundation overall damage force system was carried out, and the analysis results were compared with the actual earthquake damage.…”

Section: Overall Dynamic Damage Model and Verification Of Gravity Dammentioning

confidence: 99%

Evolution law of overall damage of concrete gravity dam under near-fault ground motion

Zhai¹,

Zhang²,

Zhang³

et al. 2021

Preprint

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Strong earthquake cases of concrete gravity dams show that the foundation damage has an important influence on the seismic response and damage characteristics of the dam body. Compared with non-pulse ground motions, pulse-like near-fault ground motions have a wider response spectrum sensitive zone, which will cause more modes of the structure to respond, resulting in more serious damage to the structure. In order to study the real dynamic damage characteristics of concrete gravity dams under the action of near-fault ground motions, this paper takes Koyna gravity dam as the object and establishes a multi-coupling simulation model that can reasonably reflect the dynamic damage evolution process of dam concrete and foundation rock mass. A total of 12 near-fault ground motion records with three types of rupture directivity pulse, fling-step pulse and non-pulse are selected, deep research on the overall damage evolution law of concrete gravity dams. Considering the additional influence of different earthquake mechanisms, different site types and other factors on the study, the selected ground motion records are from the same seismic events (Chi-Chi), the same direction but different stations. The results show that the foundation of the concretes gravity dam often get damaged before the dam body under the action of strong earthquakes. Compared with the near-fault non-pulse ground motion, the structural damage of the gravity dam under the action of the near-fault directivity pulse ground motion is significantly increased, and causes greater damage and displacement response to the dam body. The near-fault fling-step pulse ground motion has the least impact on the dynamic response of the gravity dam structure.

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“…In disciplines such as multiscale dynamics, theoretical physics, and geophysics, it is often encountered to solve dispersive wave propagation problems in infinitely/very large domains [1][2][3][4][5][6][7]. To solve them by numerical ways such as finite element method (FEM) or finite difference method (FDM) with an affordable time frame, it is necessary to truncate the original model.…”

Section: Introductionmentioning

confidence: 99%

Constructing artificial boundary condition of dispersive wave systems by deep learning neural network

Zheng,

Shao,

Zhang

2023

Phys. Scr.

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To solve one dimensional dispersive wave systems in an unbounded domain, a uniform way to establish localized artificial boundary conditions is proposed. The idea is replacing the half-infinite interval outside the region of interest with a super element which exhibits the same dynamics response. Instead of designing the detailed mechanical structures of the super element, we directly reconstruct its stiffness, mass, and damping matrices by matching its frequency-domain reaction force with the expected one. An artificial neural network architecture is thus specifically tailored for this purpose. It comprises a deep learning part to predict the response of generalized degrees of freedom under different excitation frequencies, along with a simple linear part for computing the external force vectors. The trainable weight matrices of the linear layers correspond to the stiffness, mass, and damping matrices we need for the artificial boundary condition. The training data consists of input frequencies and the corresponding expected frequency domain external force vectors, which can be readily obtained through theoretical means. In order to achieve a good result, the neural network is initialized based on an optimized spring-damper-mass system. The adaptive moment estimation algorithm is then employed to train the parameters of the network. Different kinds of equations are solved as numerical examples. The results show that deep learning neural networks can find some unexpected optimal stiffness/damper/mass matrices of the super element. By just introducing a few additional degrees of freedom to the original truncated system, the localized artificial boundary condition works surprisingly well.

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A generalized response spectrum method for seismic response analysis of underground structure combined with viscous-spring artificial boundary

Cited by 38 publications

References 28 publications

Effect Mechanism of Connection Joints in Fabricated Station Structures

Effect Mechanism of Connection Joints in Fabricated Station Structures

Evolution law of overall damage of concrete gravity dam under near-fault ground motion

Constructing artificial boundary condition of dispersive wave systems by deep learning neural network

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