高军, 黄再兴. PBX炸药粘弹性损伤本构模型参数敏感度分析[J]. 工程力学, 2015, 32(2): 201-206. DOI: 10.6052/j.issn.1000-4750.2013.12.1209
引用本文: 高军, 黄再兴. PBX炸药粘弹性损伤本构模型参数敏感度分析[J]. 工程力学, 2015, 32(2): 201-206. DOI: 10.6052/j.issn.1000-4750.2013.12.1209
GAO Jun, HUANG Zai-xing. PARAMETER SENSITIVITY ANALYSIS FOR VISCOELASTIC DAMAGE CONSTITUTIVE MODEL OF PBX MATERIALS[J]. Engineering Mechanics, 2015, 32(2): 201-206. DOI: 10.6052/j.issn.1000-4750.2013.12.1209
Citation: GAO Jun, HUANG Zai-xing. PARAMETER SENSITIVITY ANALYSIS FOR VISCOELASTIC DAMAGE CONSTITUTIVE MODEL OF PBX MATERIALS[J]. Engineering Mechanics, 2015, 32(2): 201-206. DOI: 10.6052/j.issn.1000-4750.2013.12.1209

PBX炸药粘弹性损伤本构模型参数敏感度分析

PARAMETER SENSITIVITY ANALYSIS FOR VISCOELASTIC DAMAGE CONSTITUTIVE MODEL OF PBX MATERIALS

  • 摘要: 建立了基于拉丁超立方抽样和Spearman秩相关系数的本构模型参数敏感度分析方法,实现对PBX炸药粘弹性损伤本构模型参数敏感度的整体性分析。以PBX炸药柱体压缩的分析为例,采用该方法确定了各本构参数对端面载荷值的敏感度及排序。并分析了抽样样本量,以及载荷加载速率对本构参数的敏感度的影响。同相关文献结果进行比较,证实了该方法的可行性。该文的方法可在参数识别中提前预测各参数对实验结果的敏感度,为本构模型参数识别中缩减待识别参数和选择合适的模拟实验提供理论基础。

     

    Abstract: Based on Latin Hypercube Sampling (LHS) and the Spearman rank correlation, a parameter sensitivity analysis method for constitutive model is established. Using this method, we implement the holistic parameter sensitivity analysis for viscoelastic damage constitutive model of PBX. Taking the compression of a cylindrical PBX specimen as example, we analyze the parameter sensitivity of viscoelastic damage constitutive model of PBX. The sensitivities of all constitutive parameters to end-face loads and their orders are determined. The impacts of the sample sizes and the loading rate on the sensitivity of constitutive parameters are discussed. The comparison with results reported in existing literatures shows that the method presented in this paper is feasible for the sensitivity analysis of multi-parameters. It can be used to predict the sensitivity of parameters to experimental results in advance, and provides a theoretical basis for reducing parameters to be identified and determining appropriate simulation experiments.

     

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