Optimization selection method for intensity measures based on information metrics

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (15) : 86-94.

ZHU Boyang1,2, LIU Jinlong1,2, LIN Junqi1,2

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Abstract

The selection of intensity measures (IMs) is an important part of seismic fragility analysis. Suitable IMs should have good sufficiency and efficiency to better reflect the destructive capacity of ground motion and obtain more reliable fragility analysis results. For this reason, this paper proposes an optimal selection method of IMs based on information metrics. The method utilizes mutual information and relative entropy metrics as common indicators for IMs’ selection, which are combined with a forward selection algorithm to efficiently locate the optimal IMs in one to multi-dimensional space. To verify the effectiveness of the proposed method, it is analyzed and discussed on a set of simply supported girder bridges, and compared with the traditional sufficiency and efficiency analysis methods. The results show that the selected IMs based on the proposed method can satisfy the sufficiency and efficiency requirements simultaneously, and have the advantage of high efficiency and universality compared with the traditional method, which does not rely on the selection of probabilistic seismic demand model and does not need to carry out the cumbersome comparison of conditional independence, has a good application prospect.

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fragility / seismic intensity measures / optimal selection / mutual information / relative entropy

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ZHU Boyang1,2, LIU Jinlong1,2, LIN Junqi1,2. Optimization selection method for intensity measures based on information metrics[J]. Journal of Vibration and Shock, 2024, 43(15): 86-94

References

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