CAJ | 학술논문

考虑压力环境对 NEPE 推进剂力学强度性能的影响,开展了不同温度、拉伸速率下的单向拉伸实验,结合推广的双剪强度理论得到了强度参数;基于广义回归神经网络(GRNN),讨论了样本处理和误差分析,对实验加载条件覆盖面较小的结论进行了推广,预测了其它条件下的强度参数.基于某燃烧室药柱的工程应用表明,基于 GRNN 的参数预可以有效简化处理过程、降低综合成本,同时基于常规单向拉伸试验的 Mises 准则是过于保守的.
고필압력배경대 NEPE 추진제역학강도성능적영향,개전료불동온도、랍신속솔하적단향랍신실험,결합추엄적쌍전강도이론득도료강도삼수;기우엄의회귀신경망락(GRNN),토론료양본처리화오차분석,대실험가재조건복개면교소적결론진행료추엄,예측료기타조건하적강도삼수.기우모연소실약주적공정응용표명,기우 GRNN 적삼수예가이유효간화처리과정、강저종합성본,동시기우상규단향랍신시험적 Mises 준칙시과우보수적.
@@@@Considering of surroundings-pressure, the uniaxial tensile test has been conducted with different rate and at various temperatures, strength parameters are obtained with the generalized twin shear criteria theory. For the use of GRNN, sample-disposal and error-analysis are discussed firstly. By generalizing the strength parameters in limit conditions which are in existence, the counterparts in other conditions are prognosticated. Illustration indicates that, based on GRNN, prognostication is accurate and good at reducing the tests, simplifying the process, and depressing the total cost.