q∝△(T~(-1))传热时三热源热泵的最优性能普遍关系

本文导出工质与三个热源间的传热系数分别为。α、β和γ,传热规律为q~∝△(T~(-1))时,内可逆三热源热泵的最佳供热系数ψ与供热率Π间的关系:ψ<1时,Π=K_1ψ[T_p(T_H-T_ο)-T_H(T_p-Tο)ψ]/[T_HT_pT_ο(1-△_1ψ)~2];ψ>1时,Π=K_2ψ[T_p(T_H-T_ο)-T_H(T_P-T_ο)ψ]/[T_HT_pT_ο(△_2-ψ)~2];式中,K_1=αγ/(α~(1/2)+γ~(1/2))~2,K_2=βγ/(β~(1/2)+γ~(1/2))~2,△_1=(α/β)~(1/2)(β~(1/2)-r~(1/2)/(α~(1/2)+γ~(1/2)),△_2=(β/α)~(1/2)(α~(1/2)-γ~(1/2))/(β~(1/2)+γ~(1/2))。由此可得许多有用的关系。     

圆柱壳体振动特性研究与有限元计算验证

采用解析理论和有限元方法研究计算了圆柱壳体的固有频率与固有振型,发现环向封闭的圆柱壳具有同一节点形式的两种固有振型,对应两种固有振型的固有频率值相同。     

关于有限时间热力学的最小熵产生最大值原则

本文力图从能表征状态的热力学参数熵的变化中找到有关有限时间热力学新的分析方法,提出了工作参数选择的最小熵产生最大值原则。这个原则揭示了有限时间热力学以时间为基础的“率”与非平衡热力学熵产生间的内在联系。据此,我们便可得到正、反向内可逆卡诺循环的最佳工作参数。为有限时间热力学的普遍应用研究提供了一新的线索。     

基于FDTD方法的电波在等离子体中传输特性研究

根据时域有限差分法(Finite Difference Time Domain, FDTD)的基本原理,本文首先分析了等离子体的物理场特性及数值计算,然后介绍了飞行器再入时等离子鞘的形成以及等离子体相对介电常数对波的衰减,最后通过三维FDTD和二维FDTD模拟了电磁波在等离子体中的传播情况,证明了FDTD方法是解决电磁波在复杂媒质中传播的一种有效方法,并探究了飞行器再入段黑障区通信的理论和方法。     

基于乘法分解弹塑性的有限元平衡方程及简化

主要研究了乘法分解弹塑性在大变形有限元程序中的实现.首先建立了纠正的拉格朗日描述下的平衡方程.并导出了其一致线性化形式,然后以中间构形弹性对数应变张量及与其功共轭的应力张量为共轭应力应变度量代入平衡方程对其进行简化与对称化处理以形成便于程序实现的Jaco-bian矩阵.采用所建立的有限元公式对圆柱形试件的单向拉伸过程进行了数值模似.     

用于有限体积法的中心WENO混合格式研究

本文通过理论推导得到了6阶中心格式与5阶WENO格式相结合的混合格式(CWENO6格式),为了提高有限体积法中高精度格式的计算效率,引入了3阶MUSCL反卷积方法以取代传统有限体积法中的反卷积方法。通过不同的算例比较了CWENO6格式与WENO5格式的数值表现。结果表明,相比于传统的WENO5格式,在网格量相同的前提下,由于数值耗散较小,CWENO6格式对流动细节的描述更为准确,为有限体积法模拟三维多尺度复杂提供了一种更为有效的方法。     

超声激励条件下微裂纹生热的有限元分析及试验研究

为解决现行装甲装备裂纹检测手段效率低、输出结果不直观等问题,将超声红外热波检测技术引入装甲装备零部件缺陷鉴定环节。针对装甲板等平板类结构的厚度特点,建立了厚度9～13121m的含微裂纹铝合金平板试件有限元分析模型,通过不同厚度试件微裂纹生热及裂纹面相对运动频谱的对比,揭示了微裂纹生热机理及其与试件厚度之间的关系。最后,通过试验验证了采用有限元分析的可行性。     

Optimal design of a novel cylindrical sandwich panel with double arrow auxetic core under air blast loading

The increasing threat of explosions on the battle field and the terrorist action requires the development of more effective blast resistance materials and structures. Curved structure can support the external loads effectively by virtue of their spatial curvature. In review of the excellent energy absorption property of auxetic structure, employing auxetic structure as core material in curved sandwich shows the potential to improve the protection performance. In this study, a novel cylindrical sandwich panel with double arrow auxetic (DAA) core was designed and the numerical model was built by ABAQUS. Due to the complexity of the structure, systematic parameter study and optimal design are conducted. Two cases of optimal design were considered, case1 focuses on reducing the deflection and mass of the structure, while case2 focuses on reducing the deflection and increasing the energy absorption per unit mass. Parameter study and optimal design were conducted based on Latin Hypercube Sampling (LHD) method, artificial neural networks (ANN) metamodel and the nondominated sorting genetic algorithm (NSGA-Ⅱ). The Pareto front was obtained and the cylindrical DAA structure performed much better than its equal solid panel in both blast resistance and energy absorption capacity. Optimization results can be used as a reference for different applications.     

A bayesian optimisation methodology for the inverse derivation of viscoplasticity model constants in high strain-rate simulations

We present an inverse methodology for deriving viscoplasticity constitutive model parameters for use in explicit finite element simulations of dynamic processes using functional experiments, i.e., those which provide value beyond that of constitutive model development. The developed methodology utilises Bayesian optimisation to minimise the error between experimental measurements and numerical simulations performed in LS-DYNA. We demonstrate the optimisation methodology using high hardness armour steels across three types of experiments that induce a wide range of loading conditions: ballistic penetration, rod-on-anvil, and near-field blast deformation. By utilising such a broad range of conditions for the optimisation, the resulting constitutive model parameters are generalised, i.e., applicable across the range of loading conditions encompassed the by those experiments (e.g., stress states, plastic strain magnitudes, strain rates, etc.). Model constants identified using this methodology are demonstrated to provide a generalisable model with superior predictive accuracy than those derived from conventional mechanical characterisation experiments or optimised from a single experimental condition.