Benchmark Tests for Strong Ground Motion Prediction Methods: Case for Stochastic Green’s Function Method (Part 1)

研一, 加藤; 嘉章, 久田; 秀憲, 川辺; 晋, 大野; 厚, 野津; 有秀, 野畑; 淳, 森川; 優, 山本

doi:10.3130/aijt.17.49

Cited by 5 publications

(11 citation statements)

References 16 publications

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“…The lower one in Figure 4 illustrates the pseudo velocity response spectrum. The numbers 1, 2, 3 in figure legend indicate the difference of uniform random numbers for phase angles in Hisada (Kato et al, 2011) and the difference of Gaussian random numbers for phase difference (Equation 15) in Makita et al (2018). It can be observed from these figures that, while the acceleration time histories exhibit somewhat different properties, especially in its envelope, the pseudo velocity response spectra of both approaches correspond fairly well.…”

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 83%

“…The benchmark test was conducted by Kato et al (2011) and the model S21 is used for comparison. The benchmark test uses an empirical envelope function of acceleration time histories.…”

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

“…Table 1 shows the similarities and differences between the proposed method and the method used in the benchmark test. The fault plane and three recording points for the model S21 used in the benchmark test Kato et al (2011) are shown in Figure 3. The recording points are three points (a), (b), (c).…”

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

“…It is noted that, since the radiation damping is taken into account at the earthquake bedrock, the amplification divergence does not occur. Figure 4 shows the comparison between the proposed method and the abovementioned benchmark test (Kato et al, 2011). The upper one in Figure 4 presents the acceleration at the free ground surface at three points.…”

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

“…Furthermore, the rise time is set to τ = W/(2V r ) = 0.67s from Day (1982) because τ = 5.0s is too long in this model as shown in Kato et al (2011). Figure 6 shows the critical ground surface acceleration and deformation of the SDOF model (T = 0.5 s) at three points for Case A (earthquake bedrock motion) and Case B (free-ground surface motion) with respect to uncertain fault rupture slip distribution.…”

Section: Critical Setting Of Fault Rupture Slip Distributionmentioning

confidence: 99%

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Critical Ground Motion for Resilient Building Design Considering Uncertainty of Fault Rupture Slip

Makita

Kondo

Takewaki

2018

Front. Built Environ.

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The process of theoretical ground motion generation consists of (i) the fault rupture process, (ii) the wave propagation from the fault to the earthquake bedrock, (iii) the site amplification. The uncertainty in the site amplification was taken into account in the previous research (Makita et al., 2018). On the other hand, the uncertainty in the fault rupture slip (slip distribution and rupture front) is dealt with in the present paper. The wave propagation from the fault to the earthquake bedrock is expressed here by the stochastic Green's function method in which the Fourier amplitude of the ground motion at the earthquake bedrock from a fault element is represented by the Boore's model and the phase angle is modeled by the phase difference method. The validity of the proposed method is investigated through the comparison with the existing simulation result by other methods. By using the proposed method for ground motion generation and for optimization under uncertainty in the fault rupture slip, a methodology is presented for deriving the critical ground motion imposing the maximum response of an elastic SDOF model at the earthquake bedrock or at the free ground surface. It is shown that the critical response exhibits the SDOF response several times larger than that due to the average fault rupture slip model. Furthermore, the robustness evaluation with respect to the uncertain fault rupture slip and the uncertain fault rupture front is presented for resilient building design. Since the critical ground motion produces the most detrimental building response among possible scenarios, the proposed method can be a reliable tool for resilient building design.

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Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 83%

“…The benchmark test was conducted by Kato et al (2011) and the model S21 is used for comparison. The benchmark test uses an empirical envelope function of acceleration time histories.…”

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

Section: Verification Of the Methods Of Ground Motion Generation Usingmentioning

confidence: 99%

Section: Critical Setting Of Fault Rupture Slip Distributionmentioning

confidence: 99%

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Critical Ground Motion for Resilient Building Design Considering Uncertainty of Fault Rupture Slip

Makita

Kondo

Takewaki

2018

Front. Built Environ.

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Simulating Strong Ground Motion from the Great 1923 Kanto Earthquake in the Tokyo Metropolitan Area Based on Source Model Derived from Seismic Intensity Data

Suzuki,

Kato,

Watanabe

et al. 2023

Bulletin of the Seismological Society of America

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This study simulates strong ground motions in the Tokyo metropolitan area during the 1923 Kanto earthquake using the stochastic Green’s function method. Source characteristics were modeled using seismic intensity inversion analysis, and path and site characteristics were modeled using inhomogeneous attenuation structure and empirical amplification factors. The results of these simulations were consistent with seismic intensities estimated based on the collapse rate of wooden houses. The distribution of pseudovelocity response spectra averaged at periods of 1–2 s was large: ∼200 cm/s in southern Kanagawa and southern Chiba prefectures, ∼100–200 cm/s in eastern Tokyo, and ∼50–100 cm/s in eastern Saitama prefecture despite its distance from strong-motion generation areas (SMGAs). The simulation results were regressed on site characteristics and fault distance, and the residuals were interpolated using the Kriging method to estimate detailed maps of seismic intensity and response spectra on an ∼250 m mesh reflecting site-specific characteristics. The following conclusions can be made: (1) all SMGAs, other than those in northern Tokyo Bay, were located near large slip areas based on coseismic geodetic and seismic waveform data. Although the SMGAs in the northern part of Tokyo Bay exerted little influence on the southern part of the Kanto region, their consideration was required to reproduce the seismic intensity at the northwest Tokyo and Saitama; (2) intense strong motion in central Tokyo occurred at the back marsh, delta, coastal lowlands, and filled lands, whereas low levels of strong motion were determined at terraces covered with volcanic ash soil. Combined with building distribution, this indicates areas of high seismic risk; (3) the seismic intensity and response spectra in the Tokyo metropolitan area obtained through this simulation were larger than those obtained from seismic records of the 2011 Tohoku earthquake—the most recent megathrust earthquake.

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Benchmark Tests for Strong Ground Motion Prediction Methods: Case for Theoretical Methods (Part 2)

Yoshimura

Nagano²,

Hisada

et al. 2012

AIJ J. Technol. Des.

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Following the 2009 benchmark test, we conducted a subsequent test for the strong motion simulation methods in more complex media, using various theoretical methods (the wavenumber integration method, the discrete wavenumber method, and the thin layer method). All the results show generally good agreements, but the results for damping media show discrepancies, especially in the fling step at very close stations to a surface fault. This is because the frequency-dependent quality factors violate severely the causality condition in the waveforms, especially at lower frequencies.

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Benchmark Tests for Strong Ground Motion Prediction Methods: Case for Stochastic Green’s Function Method (Part 1)

Cited by 5 publications

References 16 publications

Critical Ground Motion for Resilient Building Design Considering Uncertainty of Fault Rupture Slip

Critical Ground Motion for Resilient Building Design Considering Uncertainty of Fault Rupture Slip

Simulating Strong Ground Motion from the Great 1923 Kanto Earthquake in the Tokyo Metropolitan Area Based on Source Model Derived from Seismic Intensity Data

Benchmark Tests for Strong Ground Motion Prediction Methods: Case for Theoretical Methods (Part 2)

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