Research on methods for importance analysis of random parameter in bridge seismic demand

被引：0
|
作者：
Song S. [1 ]
Qian Y.-J. [1 ]
Qian C. [1 ]
机构：
[1] School of Civil Engineering, Southwest Jiao Tong University, Chengdu
来源：
Gongcheng Lixue/Engineering Mechanics | 2018年 / 35卷 / 03期
关键词：
Bridge engineering; Importance analysis; Kernel density estimation; Random parameters; Seismic demand;
D O I：
10.6052/j.issn.1000-4750.2016.11.0856
中图分类号：
学科分类号：
摘要：
The seismic demand of bridge structures is affected by the randomness of the ground motion as well as the random parameters of the structure. In order to analyze the importance level of each random parameter, the importance analysis method is proposed to rank the random parameters involved in bridge structures. Based on the nonlinear time-history analysis of structural random samples, the simply supported and continuous beam bridge are taken as examples to show the calculation of variance-based importance measures and moment-independent importance measures of each random parameter by Monte Carlo sampling and kernel density estimation respectively. The results show that the importance rankings of random parameters are not the same for the seismic demand of piers, abutments and bearings in medium or small span continuous girder bridges. However, the parameters such as bearing shear modulus, mass of upper structure and damping ratio are ranked high for the seismic demand of all components. Compared with local sensitivity analysis methods such as Tornado graphic method, the importance analysis method can consider the influence of other random parameters in studying the importance level of one variable, and its application is more reasonable. © 2018, Engineering Mechanics Press. All right reserved.
引用
收藏
页码：106 / 114
页数：8
相关论文
共 26 条
  • [1] Sousa L., Silva V., Marques M., Et al., On the treatment of uncertainties in the development of fragility functions for earthquake loss estimation of building portfolios, Earthquake Engineering and Structural Dynamics, 45, 12, pp. 1955-1976, (2016)
  • [2] Tubaldi E., Barbato M., Dall'Asta A., Transverse seismic response of continuous steel-concrete composite bridges exhibiting dual load path, Earthquakes and Structures, 1, 1, pp. 21-41, (2010)
  • [3] Tubaldi E., Barbato M., Dall'Asta A., Influence of model parameter uncertainty on seismic transverse response and vulnerability of continuous steel-concrete composite bridges with dual load path, Journal of Structural Engineering, 138, 3, pp. 363-374, (2012)
  • [4] Gokkaya B.U., Baker J.W., Deierlein G.G., Quantifying the impacts of modeling uncertainties on the seismic drift demands and collapse risk of buildings with implications on seismic design checks, Earthquake Engineering & Structural Dynamics, 45, 10, pp. 1661-1683, (2016)
  • [5] Mackie K.R., Nielson B.G., Uncertainty quantification in analytical bridge fragility curves, Lifeline Earthquake in a Multi-hazard Environment, pp. 88-99, (2009)
  • [6] Shen G., Yuan W., Pang Y., Bridge seismic fragility analysis based on Nataf transformation, Engineering Mechanics, 31, 6, pp. 93-100, (2014)
  • [7] Xiao Q., Evaluating correlation coefficient for Nataf transformation, Probabilistic Engineering Mechanics, 37, pp. 1-6, (2014)
  • [8] Padgett J.E., Desroches R., Sensitivity of seismic response and fragility to parameter uncertainty, ASCE Journal of Structural Engineering, 133, 12, pp. 1710-1718, (2007)
  • [9] Yin J., Hu Q., Li P., Et al., Sensitivity analysis of earthquake demands parameters, Journal of Central South university (Science and Technology), 43, 5, pp. 1954-1962, (2012)
  • [10] Zhong J., Gardoni P., Rosowsky D., Closed-form seismic fragility estimates, sensitivity analysis and importance measures for reinforced concrete columns in two-column bents, Structure Infrastructure Engineering, 8, 7, pp. 669-685, (2012)
123