基于概率密度演化方法的随机结构可靠度分析

随机结构反应的概率密度演化方法能够给出随机荷载作用下随机结构反应的概率密度函数。在此基础上，根据给定的正常使用位移限值要求，直接进行积分给出了随机结构的正常使用可靠度及其失效概率。在实例分析中，与一类情况下的精确解答及基于反应正态分布假定的二阶矩方法分析结果进行了比较。研究表明：基于密度演化方法的随机结构可靠度分析具有很高的精度，而二阶矩方法的可靠度分析结果则往往具有一定的偏差，在失效概率较低时可能给出虚假的失效概率。     

钢摩擦磨损的概率统计模型

本文根据对钢磨陨表面系统的扫描电子显微镜与俄歇电子能谱仪分析提出了摩擦磨损的概率统计模型,其要点在于将真实接触面积内的接触形式区分为3种,即氧化膜-氧化膜、金属-金属和金属-氧化膜,并且指出每一种接触形式的比率都是随机的,因而都服从概率分布。本文应用概率统计方法推导出了摩擦系数与磨损率的数学表达式。在推导过程中使用了一个“新鲜暴露金属发面”的新概念。理论计算结果与实测值相吻合。     

Modeling of dynamics, heat transfer, and combustion in two-phase turbulent flows: 2. Flows with heat transfer and combustion

The objective of this part of the paper is to summarize the information concerning the authors' works in the field of simulation of two-phase gas-particle turbulent flows with heat transfer and combustion. A kinetic equation had been derived for the probability density function (PDF) of the particle velocity, temperature, and mass distributions in turbulent flows. This PDF equation is used for the construction of the governing conservation equations of mass, momentum, and heat transfer in the dispersed particle phase.The numerical scheme incorporates two-phase fluid dynamics, convective and radiative heat transfer, and combustion. The proposed models have been applied to the calculation of various particle-laden turbulent flows in jets, combustion and gasification chambers, and furnaces.     

玻璃态高聚物细观损伤断裂统计力学

对玻璃态高聚物内部细观损伤断裂判据、机理、动力学及统计模型的最新进展，进行了较为全面、系统的介绍和总结，并简要概述了细观损伤统计描述在金属材料及玻璃态高聚物领域里的应用。     

随机振动载荷作用下结构Von Mises应力过程的研究

随机振动载荷作用下结构的多轴疲劳分析非常复杂，利用Von Mises应力准则将多轴应力响应转换为单轴应力是一条简单而有效的途径，其关键问题是Von Mises应力概率密度函数的确定。本文提出了Von Mises应力过程近似服从Weibull分布的假设，同时给出了确定Weibull参数的方法，为进一步直接利用Von Mises应力进行结构多轴疲劳分析创造了条件。     

磁粉法检测表面裂纹概率曲线的测定

本文介绍了利用实物零件测定裂纹检出概率的方法，并作出了用磁粉法检测表面裂纹的检测概率曲线，为大型构件检测周期的确定提供了可靠数据，为结构损伤容限设计，可靠性设计提供了重要的依据。     

损伤和断裂的统一

本文讨论了连续损伤力学基础的缺陷,从微裂纹随机演化出发给损伤概念作出新的普适的统计定义,导出了损伤断裂几率的动力学方程,使损伤、断裂、统计、微观机理及宏观特性五者有机地相结合,从而有可能形成一个统一的损伤断裂微观统计理论。     

Elastic properties of model random three-dimensional open-cell solids

Most cellular solids are random materials, while practically all theoretical structure-property relations are for periodic models. To generate theoretical results for random models the finite element method (FEM) was used to study the elastic properties of open-cell solids. We have computed the density (ρ) and microstructure dependence of the Young's modulus (E) and Poisson's ratio (ν) for four different isotropic random models. The models were based on Voronoi tessellations, level-cut Gaussian random fields, and nearest neighbour node-bond rules. These models were chosen to broadly represent the structure of foamed solids and other (non-foamed) cellular materials. At low densities, the Young's modulus can be described by the relation E∝ρⁿ. The exponent n and constant of proportionality depend on microstructure. We find 1.3<n<3, indicating a more complex dependence than indicated by periodic cell theories, which predict n=1 or 2. The observed variance in the exponent was found to be consistent with experimental data. At low densities we found that ν≈0.25 for three of the four models studied. In contrast, the Voronoi tessellation, which is a common model of foams, became approximately incompressible (ν≈0.5). This behaviour is not commonly observed experimentally. Our studies showed the result was robust to polydispersity and that a relatively large number (15%) of the bonds must be broken to significantly reduce the low-density Poission's ratio to ν≈0.33.     

Statistical mechanics of temporary polymer networks I. The equilibrium theory

In part I of this work (the present article) the equilibrium state of temporary polymer networks is treated in the framework of thermodynamics and statistical mechanics. The network is described as an open system. Thereby we use a modified spring-bead model in which the beads represent junctions that decay and reform thus adding a viscous component to the assumed elastic behaviour of the permanent network. The relevant statistical equation — analogous to Liouville's equation — is solved. The grand-canonical probability density function and two of three equations of state are derived. Explicit formulae are given for several relevant probabilities. For instance the probabilityw (z)dz that a network chain connecting two junctions has a contour length betweenz andz +dz is given by the Wien type formulaw(z) =A z ³ exp {–B z} whereA andB do not depend onz.     

流对波边界层湍流运动的影响

采用大涡模拟方法和Smagorinsky亚格子模型，求解三维Navier-Stokes方程，研究了波流边界层中的湍流特性．将大涡模拟结果与相应的直接数值模拟结果和实验数据进行比较，吻合较好．获得了不同波雷诺数，不同波流比情况下的大涡模拟数据库，并由此分析了波流边界层中各种湍流统计量，如速度廓线、剪应力、湍流强度等的变化规律．