A logistic-Lasso-regression-based seismic fragility analysis method for electrical equipment considering structural and seismic parameter uncertainty
محفوظ في:
| الحاوية / القاعدة: | Earthquake Engineering and Engineering Vibration vol. 24, no. 1 (Jan 2025), p. 169 |
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| المؤلف الرئيسي: | |
| مؤلفون آخرون: | , , |
| منشور في: |
Springer Nature B.V.
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| الموضوعات: | |
| الوصول للمادة أونلاين: | Citation/Abstract Full Text - PDF |
| الوسوم: |
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MARC
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| 024 | 7 | |a 10.1007/s11803-025-2300-1 |2 doi | |
| 035 | |a 3275324976 | ||
| 045 | 2 | |b d20250101 |b d20250131 | |
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| 100 | 1 | |a Cui, Jiawei |u Harbin Institute of Technology, Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin, China (GRID:grid.19373.3f) (ISNI:0000 0001 0193 3564); Shanghai Jiao Tong University, School of Ocean and Civil Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) | |
| 245 | 1 | |a A logistic-Lasso-regression-based seismic fragility analysis method for electrical equipment considering structural and seismic parameter uncertainty | |
| 260 | |b Springer Nature B.V. |c Jan 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a Damage to electrical equipment in an earthquake can lead to power outage of power systems. Seismic fragility analysis is a common method to assess the seismic reliability of electrical equipment. To further guarantee the efficiency of analysis, multi-source uncertainties including the structure itself and seismic excitation need to be considered. A method for seismic fragility analysis that reflects structural and seismic parameter uncertainty was developed in this study. The proposed method used a random sampling method based on Latin hypercube sampling (LHS) to account for the structure parameter uncertainty and the group structure characteristics of electrical equipment. Then, logistic Lasso regression (LLR) was used to find the seismic fragility surface based on double ground motion intensity measures (IM). The seismic fragility based on the finite element model of an ±1000 kV main transformer (UHVMT) was analyzed using the proposed method. The results show that the seismic fragility function obtained by this method can be used to construct the relationship between the uncertainty parameters and the failure probability. The seismic fragility surface did not only provide the probabilities of seismic damage states under different IMs, but also had better stability than the fragility curve. Furthermore, the sensitivity analysis of the structural parameters revealed that the elastic module of the bushing and the height of the high-voltage bushing may have a greater influence. | |
| 653 | |a Earthquakes | ||
| 653 | |a Parameters | ||
| 653 | |a Finite element method | ||
| 653 | |a Sensitivity analysis | ||
| 653 | |a Parameter sensitivity | ||
| 653 | |a Sampling methods | ||
| 653 | |a Electrical equipment | ||
| 653 | |a Fragility | ||
| 653 | |a Hypercubes | ||
| 653 | |a Seismic analysis | ||
| 653 | |a Ground motion | ||
| 653 | |a Random sampling | ||
| 653 | |a Parameter uncertainty | ||
| 653 | |a Statistical analysis | ||
| 653 | |a Seismic properties | ||
| 653 | |a Seismic response | ||
| 653 | |a Statistical sampling | ||
| 653 | |a Earthquake damage | ||
| 653 | |a Uncertainty | ||
| 653 | |a Electric equipment | ||
| 653 | |a Latin hypercube sampling | ||
| 653 | |a Seismic activity | ||
| 653 | |a Regression analysis | ||
| 653 | |a Economic | ||
| 700 | 1 | |a Che, Ailan |u Harbin Institute of Technology, Key Lab of Structures Dynamic Behavior and Control of the Ministry of Education, School of Civil Engineering, Harbin, China (GRID:grid.19373.3f) (ISNI:0000 0001 0193 3564); Shanghai Jiao Tong University, School of Naval Architecture, Ocean and Civil Engineering, Shanghai, China (GRID:grid.16821.3c) (ISNI:0000 0004 0368 8293) | |
| 700 | 1 | |a Li, Sheng |u University of Science and Technology Beijing, School of Civil and Resource Engineering, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 0369 0705); China Electric Power Research Institute, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 5928 1249) | |
| 700 | 1 | |a Cheng, Yongfeng |u China Electric Power Research Institute, Beijing, China (GRID:grid.69775.3a) (ISNI:0000 0004 5928 1249) | |
| 773 | 0 | |t Earthquake Engineering and Engineering Vibration |g vol. 24, no. 1 (Jan 2025), p. 169 | |
| 786 | 0 | |d ProQuest |t Science Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3275324976/abstract/embedded/75I98GEZK8WCJMPQ?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3275324976/fulltextPDF/embedded/75I98GEZK8WCJMPQ?source=fedsrch |