Study on Advanced Seismic Performance Evaluation Methods for Building Equipment –Development of Fragility Function and Verification Using Full-Scale Experiment—

To maintain the functionality of a building, it is crucial to understand the seismic behavior of its equipment and evaluate its seismic performance accurately. To enhance the precision of seismic performance evaluations, it is necessary to expand the fragility data for building equipment. This study explores a method for developing a fragility function based on the seismic design force specified in design guidelines. Using risk integrals, the study assesses the relationship between acceleration and damage probability, derived from earthquake damage surveys, to calculate the damage risk for building equipment designed and constructed according to Japanese design standards. The fragility function is then derived by analyzing the damage probability when the response acceleration exceeds the design acceleration. Additionally, through a comparative verification with shake table test results from a full-scale 10-story steel office building, the authors confirm the consistency between the derived fragility functions and experimental results. This approach is expected to improve the accuracy of predicting building equipment seismic behavior and provide more reliable seismic performance evaluations.

Authors

Institutions

Publication Details

Journal
Journal of Disaster Research
Published
2025-09-30
DOI
https://doi.org/10.20965/jdr.2025.p0651
Citations
1
Primary Topic
Seismic Performance and Analysis
Type
article
Field-Weighted Citation Impact
0.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Study on Advanced Seismic Performance Evaluation Methods for Building Equipment –Development of Fragility Function and Verification Using Full-Scale Experiment—

Koichi Kajiwara, Jun Fujiwara, Ryota Nishi, Kazuki Takaya et al.
1 citations
Journal of Disaster Research
Seismic Performance and Analysis
0.95
article

Study on Advanced Seismic Performance Evaluation Methods for Building Equipment –Development of Fragility Function and Verification Using Full-Scale Experiment—

Koichi Kajiwara, Jun Fujiwara, Ryota Nishi, Kazuki Takaya, Tatsuya Asai, Eiki Shigeta
article en
1 citations

Abstract

To maintain the functionality of a building, it is crucial to understand the seismic behavior of its equipment and evaluate its seismic performance accurately. To enhance the precision of seismic performance evaluations, it is necessary to expand the fragility data for building equipment. This study explores a method for developing a fragility function based on the seismic design force specified in design guidelines. Using risk integrals, the study assesses the relationship between acceleration and damage probability, derived from earthquake damage surveys, to calculate the damage risk for building equipment designed and constructed according to Japanese design standards. The fragility function is then derived by analyzing the damage probability when the response acceleration exceeds the design acceleration. Additionally, through a comparative verification with shake table test results from a full-scale 10-story steel office building, the authors confirm the consistency between the derived fragility functions and experimental results. This approach is expected to improve the accuracy of predicting building equipment seismic behavior and provide more reliable seismic performance evaluations.

Journal of Disaster ResearchVol. 20(5)
National Research Institute for Earth Science and Disaster Resilience (JP), Nagoya University (JP), The University of Tokyo (JP)
Openalex Percentile: Top 21%
Seismic Performance and Analysis
0.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.