Abstract
To simplify the process of selecting ground motion intensity measures and further reduce the variability of probability seismic demand models without significantly increasing computational cost, a vector-valued intensity measure selection model for specific site conditions and structure types was established. First, based on 20 scalar-valued intensity measures (IMs) candidates, the variance inflation factor method was used to eliminate the unimportant IM which can be linearly represented by other IMs, thereby eliminating the collinearity among IMs. Then, non-collinearity IMs which have significant correlation with engineering demand parameters were picked out as components of vector-valued intensity measure based on partial determination coefficient. Meanwhile, a three-span prestressed concrete continuous girder bridge, located on the east Nanhuan Road of Handan city, was taken as an example to verify the validity of the proposed method. Results of 6-fold cross-validation show that the variability of the regression model established by vector-valued IM [Sa(0.2), Sa(1.0), Tm] on training dataset and test dataset was reduced by 13.67% and 17.07% respectively, compared with the regression model established by scalar-valued IM[Sa(1.0)], and no overfitting phenomenon was observed. The research results can be utilized to select appropriate vector-valued intensity measures for continuous girder bridges under specific site conditions.
Translated title of the contribution | Selection of vector-valued ground motion intensity measures for continuous girder bridges |
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Original language | Chinese (Simplified) |
Pages (from-to) | 68-73 |
Number of pages | 6 |
Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
Volume | 52 |
Issue number | 3 |
DOIs | |
Publication status | Published - 30 Mar 2020 |
Externally published | Yes |
Keywords
- Collinearity
- Partial determination coefficient
- Regression analysis
- Variance inflation factor
- Vector-valued ground motion intensity measure
ASJC Scopus subject areas
- General Engineering