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- Title
A dual Kriging-XGBoost model for reconstructing building seismic responses using strong motion data.
- Authors
Abdelmalek-Lee, Eusef; Burton, Henry
- Abstract
Structural response reconstruction (SRR) and prediction modeling is an area of growing interest in earthquake engineering research. Within the post-earthquake environment, SRR models are useful for estimating seismic demands in uninstrumented buildings using the response measurements from those that are equipped with strong motion sensors. This paper introduces a dual model that uses kriging combined with the extreme gradient boosting (XGBoost) algorithm to reconstruct seismic response demands in buildings during real earthquakes. The model is constructed with data that consists of responses from 207 buildings and 35 earthquakes. Kriging is first used to predict peak ground accelerations (PGAs) at the location of the uninstrumented buildings, using the measured PGAs from instrumented building sites with similar features (e.g., event magnitude, source-to-site distance, and location). The XGBoost algorithm is then used, with PGA as one of several features, to reconstruct the maximum (over the building height) peak (over the response history) story drift ratio and peak floor acceleration in the uninstrumented buildings. The residuals are then examined to assess overall model performance.
- Subjects
SEISMIC response; KRIGING; MOTION detectors; EARTHQUAKE engineering; EFFECT of earthquakes on buildings; BUILDING sites; PREDICTION models
- Publication
Bulletin of Earthquake Engineering, 2024, Vol 22, Issue 7, p3563
- ISSN
1570-761X
- Publication type
Article
- DOI
10.1007/s10518-023-01624-y