Earthquake Motion Observation In And Around 8-Story Src Building

Kashima, Toshihide; Okawa, Izuru; Koyama, Shin

doi:10.1007/978-94-010-0696-5_32

Cited by 4 publications

(11 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These values show an average reduction of 16% in the story stiffnesses. The stiffness reduction in middle and upper floors is in line with the visual inspection reports 76,78 . Kashima 76 reported a 25% reduction in the fundamental natural frequency of the building after this earthquake.…”

Section: Real‐world Applicationsupporting

confidence: 85%

“…The stiffness reduction in middle and upper floors is in line with the visual inspection reports. 76,78 Kashima 76 reported a 25% reduction in the fundamental natural frequency of the building after this earthquake. This is in line with the identified results here in which 22% reduction is observed in fundamental frequency of shear building.…”

Section: Anx Buildingmentioning

confidence: 98%

See 1 more Smart Citation

Bayesian model selection considering model complexity using stochastic filtering

Ameri Fard Nasrand,

Mahsuli,

Ghahari

et al. 2023

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

This paper proposes a Bayesian model selection framework to determine optimal, parsimonious models for given building structures under ground motion excitation using stochastic filtering. Structural system identification at a regional scale after an earthquake is nominally a monumental task due to its inherently high computational cost. This challenge is currently addressed in the literature by using simplified structural models that bear analytical solutions, such as Timoshenko or shear beams, and shear building models. However, a low computational effort usually leads to an increased prediction error and consequently, a higher model uncertainty. This poses the dilemma of prediction accuracy versus model complexity when selecting a model class to represent a building structure. The proposed framework selects the model class that strikes the best balance between the two. To this end, the notion of cumulative evidence is introduced here as the integral of local evidence over the ground motion duration, which is then formulated as the difference between the cumulative likelihood of the observed measurements and the cumulative penalty. The likelihood measure promotes models whose predictions better match the observations. This is counteracted by the penalty, which is devised as an "Ockham factor," and penalizes models with higher information gains due to their higher complexities, for example, a larger number of parameters. The proposed approach also yields the best tuning parameters of the stochastic filter for each model class and the best initial values of the identification parameters. The proposed framework is verified using a synthetic example, and validated using recorded data from the Millikan Library building in California and the ANX building in Japan.

show abstract

Section: Real‐world Applicationsupporting

confidence: 85%

Section: Anx Buildingmentioning

confidence: 98%

Bayesian model selection considering model complexity using stochastic filtering

Ameri Fard Nasrand,

Mahsuli,

Ghahari

et al. 2023

Earthq Engng Struct Dyn

View full text Add to dashboard Cite

show abstract

“…Experimental capacity curves also reflect earthquake-induced damage in buildings, as illustrated by the broken slope of the ADRS model. The plateau of the break is proportional to the amount of damage in these buildings, as reported by Kashima (2014). These curves highlight the fact that actual structural condition is required to evaluate capacity immediately after an earthquake.…”

Section: Discussionmentioning

confidence: 57%

“…The three buildings belong to the same class of buildings (Steel Reinforced Concrete buildings) but have different numbers of storeys. During the Tohoku earthquake, THU, ANX, and IWK experienced severe, slight-to-moderate, and none-to-slight structural damage, respectively (Kashima, 2014). In Fig.…”

Section: Within-building Variability ϕmentioning

confidence: 94%

See 1 more Smart Citation

The variability of experimental capacity curve models for existing buildings and their within-building and between-building components.

Ghimire

Guéguen

2023

Preprint

View full text Add to dashboard Cite

In this study, accelerometric data from seven Japanese buildings under long-term monitoring were analysed to explore the variability of the buildings’ co-seismic response over time and its within- and between-building components, using co-seismic capacity curves developed in acceleration-displacement-response-spectrum format. The data include the 2011 Tohoku Mw9.1 earthquake, which caused building damage of different levels of severity, and the time-varying actual capacity curves were analysed considering earthquakes before and after 2011. We observed that the initial slope of the capacity curves reflects the amount of damage. The between-building and within-building components of the variability are discussed by comparing a single building and several buildings in the same class for several earthquakes. Finally, the epistemic uncertainty of seismic risk assessment studies is discussed in relation to the selection of a generic capacity model for all buildings in a single class.

show abstract

Application of Mode-Adaptive Bidirectional Pushover Analysis to an Irregular Reinforced Concrete Building Retrofitted via Base Isolation

Fujii

Masuda

2021

Applied Sciences

View full text Add to dashboard Cite

In this article, the applicability of mode-adaptive bidirectional pushover analysis (MABPA) to base-isolated irregular buildings was evaluated. The point of the updated MABPA is that the peaks of the first and second modal responses are predicted considering the energy balance during a half cycle of the structural response. In the numerical examples, the main building of the former Uto City Hall, which was severely damaged in the 2016 Kumamoto earthquake, was investigated as a case study for the retrofitting of an irregular reinforced concrete building using the base-isolation technique. The comparisons between the predicted peak response by MABPA and nonlinear time-history analysis results showed that the peak relative displacement can be properly predicted by MABPA. The results also showed that the performance of the retrofitted building models was satisfactory for the ground motion considered in this study, including the recorded motions in the 2016 Kumamoto earthquake.

show abstract

Earthquake Motion Observation In And Around 8-Story Src Building

Cited by 4 publications

References 0 publications

Bayesian model selection considering model complexity using stochastic filtering

Bayesian model selection considering model complexity using stochastic filtering

The variability of experimental capacity curve models for existing buildings and their within-building and between-building components.

Application of Mode-Adaptive Bidirectional Pushover Analysis to an Irregular Reinforced Concrete Building Retrofitted via Base Isolation

Contact Info

Product

Resources

About