Abstract: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 attenuat… Show more
“…In general, the ground motion slightly weakens from the center of the structure cluster radially and this variation becomes more significant with a higher-frequency seismic excitation when only the effect of structural relative position is considered. 26 It is explained by the fact that the variation of the radiation damping and the dispersion of high-frequency components within heterogeneous mediums. This effect is negligible for the seismic response of the structural principal mode.…”
Section: Discussion Of Factors Excluding In Modelling Sscimentioning
confidence: 99%
“…According to Refs. 25 and 26, it can be found that the disturbance of the adjacent structure to the target structure presents a monotone attenuation with the increase in the foundation spacing, and the disturbance radius is related to the structural period and shear wave velocity of subsoil. Therefore, the range of the coefficient ( η ) is defined from 0 to 1 as shown in Equation (), and its value is attenuated by the increase in the spacing between the target structure and the adjacent structure.…”
Section: Influential Parameters On Sscimentioning
confidence: 99%
“…Even if a massive structure is nearby and it possesses a significant effect on the ground motion of the target structure, the stopband offset caused by the structural damage is also not evident due to it is mostly a long‐period structure. Thirdly, the structural damping ratio (1% –25%, see Section 3.3 in Ref. 26) has a significant effect on only the main components of ground motion in which the signal energy is attenuated with the increase in the structural damping ratio. Taking all the above influences into consideration, for the surrogate model without considering the structural nonlinear behavior, the obtained seismic damage results of structures are safe and reliable when the modulated ground motions are applied to the urban seismic damage simulation.…”
Section: Approach Of Modelling Ssci Based On Machine Learningmentioning
confidence: 99%
“…It is helpful to simplify the logical operation of the surrogate model and make higher application feasibility for that in urban seismic damage assessment practice. In the research work conducted by the authors previously, 25,26 the influential mechanism of SSCI on ground motion was discussed, and the relevant influential parameters were quantitatively analyzed, including the scale, frequency, damping ratio, configuration, height, and density of structure cluster, structural relative position, pile dimension, spectral features of seismic wave, and site condition. The results of the existing work indicate that the characteristics of ground motion are affected by SSCI of two different forms which occur synchronously.…”
Section: Influential Parameters On Sscimentioning
confidence: 99%
“…In this case, the superstructure acts as a tuned mass damper that affects the ground motion of the foundation, this phenomenon was introduced in detail in Ref. 26. As shown in Figure 2, m 1 , k 1 , c 1 represent the mass, lateral stiffness (it is related to the shear wave velocity and thickness of subsoil), and damping of the subsoil in the simplified dynamical system, m 2 , k 2 , c 2 are the mass, lateral stiffness, and damping of the superstructure.…”
Section: Mass and Frequency Of Superstructurementioning
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.
“…In general, the ground motion slightly weakens from the center of the structure cluster radially and this variation becomes more significant with a higher-frequency seismic excitation when only the effect of structural relative position is considered. 26 It is explained by the fact that the variation of the radiation damping and the dispersion of high-frequency components within heterogeneous mediums. This effect is negligible for the seismic response of the structural principal mode.…”
Section: Discussion Of Factors Excluding In Modelling Sscimentioning
confidence: 99%
“…According to Refs. 25 and 26, it can be found that the disturbance of the adjacent structure to the target structure presents a monotone attenuation with the increase in the foundation spacing, and the disturbance radius is related to the structural period and shear wave velocity of subsoil. Therefore, the range of the coefficient ( η ) is defined from 0 to 1 as shown in Equation (), and its value is attenuated by the increase in the spacing between the target structure and the adjacent structure.…”
Section: Influential Parameters On Sscimentioning
confidence: 99%
“…Even if a massive structure is nearby and it possesses a significant effect on the ground motion of the target structure, the stopband offset caused by the structural damage is also not evident due to it is mostly a long‐period structure. Thirdly, the structural damping ratio (1% –25%, see Section 3.3 in Ref. 26) has a significant effect on only the main components of ground motion in which the signal energy is attenuated with the increase in the structural damping ratio. Taking all the above influences into consideration, for the surrogate model without considering the structural nonlinear behavior, the obtained seismic damage results of structures are safe and reliable when the modulated ground motions are applied to the urban seismic damage simulation.…”
Section: Approach Of Modelling Ssci Based On Machine Learningmentioning
confidence: 99%
“…It is helpful to simplify the logical operation of the surrogate model and make higher application feasibility for that in urban seismic damage assessment practice. In the research work conducted by the authors previously, 25,26 the influential mechanism of SSCI on ground motion was discussed, and the relevant influential parameters were quantitatively analyzed, including the scale, frequency, damping ratio, configuration, height, and density of structure cluster, structural relative position, pile dimension, spectral features of seismic wave, and site condition. The results of the existing work indicate that the characteristics of ground motion are affected by SSCI of two different forms which occur synchronously.…”
Section: Influential Parameters On Sscimentioning
confidence: 99%
“…In this case, the superstructure acts as a tuned mass damper that affects the ground motion of the foundation, this phenomenon was introduced in detail in Ref. 26. As shown in Figure 2, m 1 , k 1 , c 1 represent the mass, lateral stiffness (it is related to the shear wave velocity and thickness of subsoil), and damping of the subsoil in the simplified dynamical system, m 2 , k 2 , c 2 are the mass, lateral stiffness, and damping of the superstructure.…”
Section: Mass and Frequency Of Superstructurementioning
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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