Unexpected noise in reservoir stochastic simulation realization may be too high to make the realization useful, especially when there is a lack of hard data. Through discussing the uncertainties, we present two ways t...Unexpected noise in reservoir stochastic simulation realization may be too high to make the realization useful, especially when there is a lack of hard data. Through discussing the uncertainties, we present two ways to control the uncertainty ratio that is brought by the algorithm of stochastic simulation. By reasonably reducing the random value of the stochastic simulation result, the unexpected values introduced by the residual that associates with random series can be controlled. Another way when the data disperse unevenly is to control the stochastic simulation order by grouping the points that need to be simulated to make those points which can be simulated by more neighborhood hard data calculated first. Both methods do not go against the core stochastic simulation algorithm.展开更多
采用同轴环施力法研究了单电池还原前后抗弯强度的Weibull模量与其厚度之间的关联性。结果表明:对应1.1、0.9 mm与0.7 mm 3个厚度,Ni O-YSZ(氧化钇稳定的氧化锆)阳极支撑单电池的Weibull模量分别为4.56、4.78与6.16,随着样品厚度降低,We...采用同轴环施力法研究了单电池还原前后抗弯强度的Weibull模量与其厚度之间的关联性。结果表明:对应1.1、0.9 mm与0.7 mm 3个厚度,Ni O-YSZ(氧化钇稳定的氧化锆)阳极支撑单电池的Weibull模量分别为4.56、4.78与6.16,随着样品厚度降低,Weibull模量逐渐增加,这与阳极内部缺陷数量减少相对应;还原之后Ni-YSZ阳极支撑单电池的Weibull模量分别提高至8.66、12.49与9.37,塑性Ni相的形成是抑制裂纹扩展的主要原因,其中厚度为0.9mm的单电池呈现最佳的综合性能,对应特征强度为122.9 MPa。样品裂纹源主要源自于阳极支撑体的内部缺陷与Ni颗粒团聚,依此可以通过不同裂纹源的类型与3种断裂模式解释不同厚度单电池力学性能的变化规律。展开更多
文摘Unexpected noise in reservoir stochastic simulation realization may be too high to make the realization useful, especially when there is a lack of hard data. Through discussing the uncertainties, we present two ways to control the uncertainty ratio that is brought by the algorithm of stochastic simulation. By reasonably reducing the random value of the stochastic simulation result, the unexpected values introduced by the residual that associates with random series can be controlled. Another way when the data disperse unevenly is to control the stochastic simulation order by grouping the points that need to be simulated to make those points which can be simulated by more neighborhood hard data calculated first. Both methods do not go against the core stochastic simulation algorithm.
