Classifications of Damage Patterns of Reinforced Concrete Buildings for Earthquake Field Investigation

Takai, Nobuo; Okada, Shigeyuki

doi:10.3130/aijs.66.67_4

Cited by 8 publications

(7 citation statements)

References 3 publications

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“…Furthermore, the estimated ratio of heavy damage tended to be slightly greater than the AIJ survey results for the lightly damaged cells (DP < 25%), while the results were opposite for heavily damaged cells (DP > 75%). This is because the Yoshida model was developed based on the damage to wooden houses after the 1995 Kobe earthquake (Okada and Takai 1999;Takai and Okada 2001) for property tax evaluation by the municipal government (Damage Scale #3 in Fig. 3), the AIJ survey used the Damage Scale #4 to evaluate building damage in Mashiki.…”

Section: Discussionmentioning

confidence: 99%

“…2. Furthermore, D0-D6 indicate the damage grade according to the damage scale used by the AIJ (Okada and Takai 1999;Takai and Okada 2001;NILIM and BRI 2016). Figure 3 defines different damage scales and their comparison to each other for each damage grade.…”

Section: Statistical Analysis Of Wooden Houses and Building Damage Scales Used In Japanmentioning

confidence: 99%

“…Site K (black star in the northeast) is the location where a borehole was drilled by Arai (2017) and Shingaki et al (2017); it is very close to the NIED KiK-net site KMMH16. The inset shows the earthquake mechanism information of the foreshock and mainshock; the colors of the earthquake symbols represent the depths of the centroid moment tensor (CMT) solution, 17 and 11 km (NIED 2020) pancake-like collapse, loss of connectivity of beam and column, or interlayer deformation (Takai and Okada 2001). Most of the heavily damaged buildings appeared in the area between the local road No.…”

Section: Introductionmentioning

confidence: 99%

“…Damage Scale #4 was used for the AIJ survey after the 2016 Kumamoto earthquake. This figure is edited based on the results of Takai and Okada (2001) 2 Data preparation and methodology…”

Section: Introductionmentioning

confidence: 99%

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Simulation of building damage distribution in downtown Mashiki, Kumamoto, Japan caused by the 2016 Kumamoto earthquake based on site-specific ground motions and nonlinear structural analyses

Sun

Nagashima

Kawase

et al. 2021

Bull Earthquake Eng

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Most of the buildings damaged by the mainshock of the 2016 Kumamoto earthquake were concentrated in downtown Mashiki in Kumamoto Prefecture, Japan. We obtained 1D subsurface velocity structures at 535 grid points covering this area based on 57 identified velocity models, used the linear and equivalent linear analyses to obtain site-specific ground motions, and generated detailed distribution maps of the peak ground acceleration and velocity in Mashiki. We determined the construction period of every individual building in the target area corresponding to updates to the Japanese building codes. Finally, we estimated the damage probability by the nonlinear response model of wooden structures with different ages. The distribution map of the estimated damage probabilities was similar to the map of the damage ratios from a field survey, and moderate damage was estimated in the northwest where no damage survey was conducted. We found that both the detailed site amplification and the construction period of wooden houses are important factors for evaluating the seismic risk of wooden structures.

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Section: Discussionmentioning

confidence: 99%

Section: Statistical Analysis Of Wooden Houses and Building Damage Scales Used In Japanmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Damage Scale #4 was used for the AIJ survey after the 2016 Kumamoto earthquake. This figure is edited based on the results of Takai and Okada (2001) 2 Data preparation and methodology…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation of building damage distribution in downtown Mashiki, Kumamoto, Japan caused by the 2016 Kumamoto earthquake based on site-specific ground motions and nonlinear structural analyses

Sun

Nagashima

Kawase

et al. 2021

Bull Earthquake Eng

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“…They classified the damaged buildings by the structural types and damage patterns based on [34,35] that are compatible with the damage grade in EMS-98 [24]. The size of the buildings and their damage level (DL) are shown in Table 1.…”

Section: Inventory Survey Results In Sampled Region Of Mashikimachi Townmentioning

confidence: 99%

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

et al. 2018

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Abstract:In this paper, evaluation results are presented for multi-temporal interferometric coherence analysis using a Synthetic Aperture Radar (SAR) for damage assessment in an urban area. The latest space-borne SARs potentially have a high enough spatial resolution to assess individual buildings. However, interferometric coherence analysis has not been evaluated for its limitation in sensitivity and size of damaged buildings. In particular, the correlation between the coherence analysis and the damage level referred to by architectural assessments has been an open question. In this paper, analytical results using ALOS-2 PALSAR-2 datasets are presented from the 2016 Kumamoto earthquakes in Japan. For reference, building damage was assessed throughout the central urban area and specifically at a catastrophically damaged district. The results show that the buildings should be larger than a window size of the coherence for damage detection, and the damage level should be larger than Level-2 of 5, classified with the European Macroseismic Scale 1998 (EMS-98).

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Investigation of Damages in Immediate Vicinity of Co-Seismic Faults During the 2016 Kumamoto Earthquake

Naito¹,

Hao²,

Senna³

et al. 2017

JDR

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In the 2016 Kumamoto earthquake, the Futagawa fault zone and the Hinagu fault zone were active in some sections, causing severe damage in neighboring areas along the faults. We conducted a detailed investigation of the surface earthquake fault, building damage, and site amplification of shallow ground within about 1 km of the neighboring areas of the fault. The focus was mainly on Kawayou district, Minamiaso village and Miyazono district, Mashiki town, and locations that suffered particularly severe building damage. We explored the relationship between local strong motion and building damage caused in areas that were in the immediate vicinity of the active fault.

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Classifications of Damage Patterns of Reinforced Concrete Buildings for Earthquake Field Investigation

Cited by 8 publications

References 3 publications

Simulation of building damage distribution in downtown Mashiki, Kumamoto, Japan caused by the 2016 Kumamoto earthquake based on site-specific ground motions and nonlinear structural analyses

Simulation of building damage distribution in downtown Mashiki, Kumamoto, Japan caused by the 2016 Kumamoto earthquake based on site-specific ground motions and nonlinear structural analyses

Sensitivity and Limitation in Damage Detection for Individual Buildings Using InSAR Coherence—A Case Study in 2016 Kumamoto Earthquakes

Investigation of Damages in Immediate Vicinity of Co-Seismic Faults During the 2016 Kumamoto Earthquake

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