Macro-phenomenological high-strain-rate elastic fracture model for ice-impact simulations

The ice impact can cause a severe damage to an aircraft’s exposed structure, thus, requiring its prevention. The numerical simulation represents an effective method to overcome this challenge. The establishment of the ice material model is critical. However, ice is not a common structural material and exhibits an extremely complex material behavior. The material models of ice reported so far are not able to accurately simulate the ice behavior at high strain rates. This study proposes a novel high-precision macro-phenomenological elastic fracture model based on the brittle behavior of ice at high strain rates. The developed model has been compared with five reported models by using the smoothed particle hydrodynamics method so as to simulate the ice-impact process with respect to the impact speeds and ice shapes. The important metrics and phenomena (impact force history, deformation and fragmentation of the ice projectile and deflection of the target) were compared with the experimental data reported in the literature. The findings obtained from the developed model are observed to be most consistent with the experimental data, which demonstrates that the model represents the basic physics and phenomena governing the ice impact at high strain rates. The developed model includes a relatively fewer number of material parameters. Further, the used parameters have a clear physical meaning and can be directly obtained through experiments. Moreover, no adjustment of any material parameter is needed, and the consumption duration is also acceptable. These advantages indicate that the developed model is suitable for simulating the ice-impact process and can be applied for the anti-ice impact design in aviation.     

基于混合算法的涡轴发动机稳态性能仿真模型

以自由涡轮式涡轴发动机为研究对象,建立了涡轴发动机的稳态性能仿真模型,提出了基于天牛须算法和N+1点残量法的求解发动机模型的混合算法(BAS-N+1混合算法),利用发动机台架试车数据对仿真计算结果进行了验证。结果表明,该稳态性能仿真模型各参数的求解误差在3%以内。与PSO-N+1混合算法相比,BASN+1混合算法求解精度更高,收敛更快。BAS-N+1混合算法既保留了智能算法对初猜值误差的包容性,也拥有接近经典迭代算法的收敛速度和精度,能够实现涡轴发动机稳态仿真模型的高精度大范围快速收敛。     

2.5维机织复合材料的纬向力学性能试验

通过室温(20℃)及高温(180℃)静态拉伸及拉 拉疲劳试验,获得了25维树脂基机织复合材料在不同温度下的力学性能及拉 拉疲劳寿命。基于宏观试验,探讨了材料在静载及拉 拉疲劳载荷作用下的破坏模式和失效机理,对比了材料在疲劳载荷作用后的剩余强度与静强度的关系,之后分析了温度对材料静态力学性能及疲劳寿命的影响。结果表明:在20~180℃温度范围内材料的纬向模量对温度不敏感,但纬向强度及疲劳寿命随温度的升高而显著下降。在高温高应力水平（高于80%静强度）下材料的纬向疲劳寿命非常短(小于104次循环),但当应力水平仅下降2%后,材料的纬向疲劳寿命趋于106次循环。另外,高温下材料的剩余强度大于高温静强度。      

复合材料加筋壁板多点冲击损伤和高周剪切疲劳试验

为研究多点冲击损伤和高周剪切疲劳对复合材料加筋壁板损伤演化、屈曲行为及破坏模式的影响，制作了9块相同构型的复合材料加筋壁板，设计了冲击试验、高周剪切疲劳试验和剩余剪切强度试验。在多点冲击和高周剪切疲劳试验过程中，使用超声C扫描系统监测了损伤区域。C扫描图像表明损伤区域的长度和宽度随着循环次数的增加而增加。与无预制损伤试验件相比，多点冲击损伤和高周剪切疲劳试验件的平均破坏载荷下降了约50%。冲击或疲劳形成的初始损伤对破坏模式产生影响，冲击疲劳试验件出现了局部蒙皮屈曲变形，破坏裂纹非常接近冲击点。