Abstract
The planar motion mechanisms are widely applied in aerospace field to realize the scheduled output. A moment-independent global sensitivity analysis method (MIGSA) is developed for time-dependent reliability of planar motion mechanisms. The defined sensitivity index can indicate the influence of the uncertainty of the input variables in the entire uncertain region on time-dependent reliability of the planar motion mechanisms. An active learning Kriging (ALK) model is established to solve time-dependent failure probability as well as sensitivity index efficiently. A representative rack-and-pinion steering linkage example is investigated for validating its significance of the time-dependent reliability MIGSA method in this paper, and the efficiency of ALK method for approximating the time-dependent reliability MIGSA index.
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