Experimental and analytical study on ground motion characteristics under structure cluster disturbance

Du, Zhen‐Yu; Guo, Tong; Wang, Jishuai; Yu, Shuqi; Liu, Jie; Liu, Xianglei; Shen, Chongyang

doi:10.1002/eqe.3663

Cited by 10 publications

(21 citation statements)

References 40 publications

(60 reference statements)

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“…This constitutive model was widely adopted in the previous work and is selected in the present study due to its clear physical significance, low computational cost and it is beneficial to the convergence of the FE model [e.g., (Lv et al 2018;Yao et al 2018;Poul and Zerva 2018;Mucciacciaro et al 2020)]. In the previous work (Du et al 2022), the dynamic characteristic curve of the model soil was generated by means of resonance column-and dynamic triaxial-test, where the equivalent linear viscoelastic constitutive model was explained. The dynamic shear modulus and damping ratio of the soil body are iterated and updated using the model proposed by Shen (1996) in the calculation process, where in general three iterations are sufficient to ensure that the dynamic response result of the model converges to an accurate value.…”

Section: The Model Soilmentioning

confidence: 99%

“…In addition, to ensure that the boundary impedance of the finite element model is consistent with that of the experimental one, the viscous artificial boundary is adopted in the numerical soil model by setting a series of grounded dashpots at the boundary soil element nodes. The details about the parameter setting method of grounded dashpots can also be found in the previous study done by the authors (Du et al 2022).…”

Section: The Model Soilmentioning

confidence: 99%

“…In addition, the acceleration sensors were installed at the bottom of each structure to measure the ground motion of the test model under each loading case. For the soil-structure cluster model (EHSC and MHSC), due to the symmetry of the structure layout, the instrumentations were applied to only the quarter structure cluster (Du et al 2022).…”

Section: Seismic Excitation and Measuring Pointmentioning

confidence: 99%

“…In this study, the structural damage during the earthquake is not considered in the experimental design and numerical simulation, where the reason for adopting this method was explained in the previous study (Du et al 2022). Therefore, the proposed numerical model only considered the linear elastic material characteristics.…”

Section: The Model Structurementioning

confidence: 99%

“…The study revealed that the effects of SSCI should be divided into two typologies, i.e., the kinematic effect due to the presence of buildings with a small scale and the inertial effect due to the presence of buildings with a large scale. Du et al (2022) carried out an experimental and analytical study on ground motion characteristics under structure cluster disturbance that took the number and layout of structures, spectral characteristics and intensity of bedrock waves as the parametric variables, the variation rule of ground motion characteristics under the influence of SSCI was investigated from the aspects of site dynamic characteristics, site acceleration magnification factor, and seismic response spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Parametric analysis and quantitative study on the influence of structure cluster on ground motion

Du¹,

Guo²,

Wang³

et al. 2022

Preprint

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This study conducted the parametric and quantitative analysis of the influence of soil-structure cluster interaction (SSCI) on ground motion. Based on the results of the shaking table test and numerical simulation, the changes in the characteristics of ground motion with the alterations of multiple factors are explored via wavelet packet decomposition. The results indicated that: (a) structure cluster reduces the site eigenfrequency, thereby amplifying the low-frequency components of ground motion and attenuating the high-frequency components. Ground can capture more of the high-frequency seismic energy coming from the bedrock through the long piles; (b) homogeneous structures inhibit the ground motion component with a frequency close to the structural eigenfrequency. The effect is more significant with increasing the number of structures and is gradually transformed into the energy dissipation effect acted in the wideband with increasing the damping ratio of structures; (c) the peak ground acceleration gradually diminishes from the center of the homogeneous structure cluster outward and this spatial variation is more pronounced under the excitation with high-frequency seismic waves. Furthermore, the energy variation index and coefficient of variation are employed to quantify the influence of SSCI on ground motion. The mass density of the structure cluster is the crucial variable for affecting the holistic variation of free-field ground motion. The spatial variation of ground motion attenuates significantly with increasing the thickness, shear wave velocity of subsoil, structural spacing, and homogeneity of structure cluster. The spacing between the structures required for the degeneration of SSCI into soil-structure interaction is chiefly related to the site condition and the structural frequency, which is enlarged with the decrease in soil shear wave velocity and structural frequency.

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Section: The Model Soilmentioning

confidence: 99%

Section: The Model Soilmentioning

confidence: 99%

Section: Seismic Excitation and Measuring Pointmentioning

confidence: 99%

Section: The Model Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Parametric analysis and quantitative study on the influence of structure cluster on ground motion

Du¹,

Guo²,

Wang³

et al. 2022

Preprint

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Simulation of spatially varying ground motion of urban buildings based on wavelet packet neural network

Guo

Wang

et al. 2023

Earthq Engng Struct Dyn

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Site‐structure cluster interaction (SSCI) has a significant effect on the seismic response of densely distributed buildings, and rationally and effectively quantifying its effect when modelling the urban seismic damage can provide more optimal decisions to mitigate earthquake disasters. This paper focuses on the input motion of the structures, by extracting the main influential parameters of SSCI and adopting the loosely typed wavelet packet neural network to rapidly simulate the spatially varying ground motion in the urban environment. In the proposed framework, the wavelet packet energy ratio is presented to describe the variation of ground motion characteristics and used as the sole output to carry out the multi‐resolution spectral modulation, and the training samples were accumulated by a validated finite element simulation method. The developed surrogate model considers the effects of a series of factors, including the earthquake intensity, site condition, configuration of structure cluster, structural dynamic characteristics and spacing, and is superior to the one using conventional artificial neural network. It is verified by a virtual test that the waveshape and spectral features of the predicted ground motion agree well with the target result with an error of peak acceleration being only 1.23%. The suggested approach has the advantages of better modulation precision and lower sample size requirement. Moreover, it is almost zero cost to use the developed surrogate model to correct the ground motion of urban buildings and to consider the influence of SSCI, and the structural seismic response can be more factually displayed in the time and space domains. These specialties make it a promising technique in the rapid assessment of urban seismic damage.

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Seismic Structure‐Soil‐Structure Interaction between inelastic structures

Vicencio,

Alexander,

Málaga‐Chuquitaype

2024

Earthq Engng Struct Dyn

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Frequently, buildings in urban areas are designed by considering their stand‐alone response, that is, as single structures with no neighboring buildings. Nevertheless, the existence of a high density of buildings in large metropolitan areas inevitably results in the likelihood of an important seismic interaction between adjacent buildings through the underlying soil. This paper explores the effects of Structure‐Soil‐Structure Interaction (SSSI) on the seismic response of two yielding structures embedded in a linear elastic soil. A simple two‐dimensional nonlinear reduced‐order parametric model is proposed, where different building parameters are considered. A nonlinear phenomenological Bouc–Wen model is assumed for the buildings. A database of 15 strong ground motion records and an additional spectrally matched seismic ground motion are considered. An extensive parametric study comprising over two million nonlinear cases is conducted. The results show important differences between nonlinear SSSI and nonlinear SSI for particular parameter configurations. Nevertheless, due to energy dissipation and increases in damping in the nonlinear case, the effects of SSSI are less relevant compared with the linear case.

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Experimental and analytical study on ground motion characteristics under structure cluster disturbance

Cited by 10 publications

References 40 publications

Parametric analysis and quantitative study on the influence of structure cluster on ground motion

Parametric analysis and quantitative study on the influence of structure cluster on ground motion

Simulation of spatially varying ground motion of urban buildings based on wavelet packet neural network

Seismic Structure‐Soil‐Structure Interaction between inelastic structures

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