Probability density evolution method for stochastic seismic response and reliability of structures

被引:0
|
作者
机构
[1] School of Civil Engineering and State Key Laboratory of Disaster Reduction in Civil Engineering, Tongji University
来源
Chen, J.-B. (chenjb@tongji.edu.cn) | 1600年 / Tsinghua University卷 / 31期
关键词
Global reliability; MDOF system; Nonlinear; Probability density evolution method; Stochastic excitation;
D O I
10.6052/j.issn.1000-4750.2013.05.ST02
中图分类号
学科分类号
摘要
Stochastic dynamic response and reliability analysis is of paramount importance to guarantee the safety of engineering structures subjected to disastrous dynamic actions. In the past decades, great efforts have been devoted to this field, yielding important progress. However, the stochastic dynamic response analysis and reliability evaluation of MDOF nonlinear systems are still challenging. The probability density evolution method provides a new perspective to this end. In the present paper, the new advances of the probability density evolution method and its applications to seismic response and global reliability of structures, as well as the existing approaches, are outlined and reviewed.
引用
收藏
页码:1 / 10
页数:9
相关论文
共 75 条
  • [71] Chen J.B., Zhang S.H., Improving point selection in cubature by a new discrepancy, SIAM Journal on Scientific Computing, 35, 5, (2013)
  • [72] Chen J., Zhang S., Probability density evolution analysis of nonlinear response of structures with non-uniform random parameters, Chinese Journal of Theoretical and Applied Mechanics, 46, 1, pp. 136-144, (2014)
  • [73] Goller B., Pradlwarter H.J., Schueller G.I., Reliability assessment in structural dynamics, Journal of Sound and Vibration, 332, 10, pp. 2488-2499, (2013)
  • [74] Pandey M.D., Zhang X.F., System reliability analysis of the robotic manipulator with random joint clearances, Mechanism and Machine Theory, 58, pp. 137-152, (2012)
  • [75] Cui L.J., Lu Z.Z., Wang Q., Parametric sensitivity analysis of the importance measure, Mechanical Systems and Signal Processing, 28, pp. 482-491, (2012)