WAN Huaping, ZHONG Jian, REN Weixin. Global Sensitivity Analysis of Structural Dynamic Characteristics Considering Metamodel Uncertainty[J]. Applied Mathematics and Mechanics, 2018, 39(1): 1-10. doi: 10.21656/1000-0887.380018
Citation: WAN Huaping, ZHONG Jian, REN Weixin. Global Sensitivity Analysis of Structural Dynamic Characteristics Considering Metamodel Uncertainty[J]. Applied Mathematics and Mechanics, 2018, 39(1): 1-10. doi: 10.21656/1000-0887.380018

Global Sensitivity Analysis of Structural Dynamic Characteristics Considering Metamodel Uncertainty

doi: 10.21656/1000-0887.380018
Funds:  The National Natural Science Foundation of China(51508144; 51608161);China Postdoctoral Science Foundation(2015M581981; 2016M602007)
  • Received Date: 2017-01-15
  • Rev Recd Date: 2017-01-22
  • Publish Date: 2018-01-15
  • Uncertainty of structural parameters will unavoidably lead to uncertainty of structural natural frequencies. The global sensitvity analysis (GSA) is an effective approach to quantify the contributions of individual parameters to the induced uncertainty of dynamic characteristics. However, the GSA has the issue of high computational cost that needs to be addressed. The fast-running Gaussian process model (GPM) was used as a surrogate for the costly computer models, to reduce the computational burden of the GSA. Moreover, the influence of the metamodel uncertainty associated with the GPM was taken into account. The effectiveness of the presented GPM-based method for the GSA was verified with a test function. Finally the GPM-based approach was applied to the GSA of structural dynamic characteristics of the Anqing Yangtze River Railway Bridge.
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