Damage Constitutive Equations and its Application to Fiber Reinforced Composites under Transverse Impact

Two continuous field variables, called as continuity tensor and damage variable tensor, are used to describe the anisotropic responses of an elastic-brittle material under transverse impact load. Based on the continuum damage mechanics, anisotropic damage constitutive equations in both full and incremental forms are proposed here. The expressions of effective elastic module tensor, damage variable tensor and damage propagation force tensor are further derived, and the methods for determining the tensors are explained in detail. An example of strain and damage response of a fiber reinforced composite laminated plate under transverse impact load is employed to demonstrate the application of this theory. In the example, the damage variable coupled with geometric large deformation of laminated plate is also considered. The calculating results illustrate the influence of damage on strain field in the impacted laminated plate.     

Computing steady-state mean time to failure for non-coherent repairable systems

Mean time to failure (MTTF) is an important reliability measure. Previous research is mainly concerned with the MTTF computation of coherent systems. In this paper, we derive equations to calculate the steady-state MTTF for noncoherent systems. Based on the equations, we extend the BDD by adding an intersection edge in each BDD node to efficiently store additional information for MTTF computation of noncoherent systems. A recursive algorithm is developed for MTTF computation using the extended BDD. To accelerate building the extended BDD, a method is proposed to avoid calculating the intersection edge for some nodes by keeping node monotonicity during the BDD construction. We show the efficiency of our algorithm by applying it to some example fault trees, real-life applications, and large fault tree benchmarks.     

大坝安全监控的递推PLSR模型

在大坝安全监测数据分析中,传统的监控模型大多采用的是静态分析方法,但是,随着数据的积累,静态分析法将会影响计算效率,预测精度也会降低.针对这一问题,对初始样本数据按时间次序分成多个时间块,用偏最小二乘回归法对各时间块建模,在此基础上,对选定的时间块分配权重,以递推的方式,构建了加权块式递推偏最小二乘回归模型.实例表明,与其他静态模型相比,该模型的效率和预测精度较高,在大坝安全监控领域具有一定的推广价值.     

山脚下的定制别墅

商品别墅 打开各种平面媒体，整版的别墅的广告铺天盖地而来。总的来看，房地产商宣传的别墅包括了以下各种形态的产品：独立住宅，双拼，联排，有的还包括叠拼和花园洋房。     

具有神经网络控制器的纺织厂空调自控系统

用可逼近任意非线性函数的神经网络构造了辨识器和控制顺，通过ＢＰ算法对神经网络进行学习训练，修正其权系主阈值，使学习训练误差趋于零。将该方案应用于纺织厂羊绒生产车间的空调系统，并给出了仿真实验结果。     

基于设计空间缩减的多学科协同优化新方法

提出一种多学科协同优化设计新方法—设计空间缩减协同优化(Design space decrease collaborative optimization,DSDCO)。根据子系统级优化结果,确定分解设计空间的平面方程,将设计空间合理分解为多个子空间,去除其中不可行设计子空间,将缩减后的设计空间传递到系统级优化。根据系统级优化在各个子空间的优化信息,择优选取系统级优化结果和下一次优化计算的设计空间,循环进行优化迭代计算,直至系统级优化值符合收敛条件。该方法通过缩减优化求解空间,不断更新系统级优化模型,将传统协同优化(Collaborative optimization,CO)中系统级非线性等式约束变换为只含有变量边界的线性不等式约束,解决了传统CO系统级求解困难的问题。DSDCO在变量有界的多学科设计优化(Multidisciplinary design optimization,MDO)问题中,对原始问题约束函数的凸性无要求,对优化迭代起始点的位置无要求。分别利用数值算例、减速器设计和弹簧设计三个典型算例,验证了DSDCO方法的正确性。     

游客视角下提升环巢湖旅游品牌形象助推乡村振兴路径探究

发展乡村旅游是推进乡村振兴的一条重要路径.文章以环巢湖地区乡村旅游为研究基点,从游客感知、认知及满意三个维度开展"互联网+社会调研",发现该地区乡村旅游已逐渐形成社会影响,但品牌形象尚不鲜明,还存在建设质量不佳且产品欠缺丰富内涵、营销力度不够且氛围缺少生机活力、管理水平不高且服务标准未能统一、规划结构紊乱且景观缺乏地域特色等四类问题.并从市场需求、双线营销、产品内涵及综合服务四个角度提出品牌形象提升策略,以期更好助力乡村振兴.     

Physical and mechanical properties of fly ash-based geopolymer with disposable medical mask reinforcement

A tremendous amount of the nonbiodegradable microplastic waste has been generated after the outbreak of COVID-19 by the widespread use of single-use personal protective equipment, especially disposable medical masks (DMMs). This has caused harm to the health and safety of human beings and various organisms. Finding a way to properly deal with these single-use medical wastes has become an urgent problem. In this paper, an innovative way was explored to use DMMs in geopolymer (GP). The physical properties, mechanical strength, and resistance to high temperatures (200–800°C) of the composites were investigated. The findings of the study revealed that DMMs had negligible influence on resistance to high temperatures, but showed a positive influence on enhancing the compressive and flexural strengths of GPs at ambient temperature. The optimum DMMs content was 0.4 wt%, at which the compressive and flexural strengths of the GP composites were enhanced by 5.8% and 22.68% compared with the pure GP, respectively. The same polypropylene (PP) fiber amount increased compressive and flexural strengths by 7.49% and 9.76%, respectively. This thus confirmed that DMMs can be sustainably utilized in green building materials, playing a role as PP fibers toughening and contributing to the effective management of waste plastics.     

基于向量的多边形扫描转换方法

提出了一种基于向量的多边形扫描转换方法,给出了相关的转换算法,并与一般计算机图形学原理教材中的常用几种多边形的扫描转换算法进行了相关比较分析.结论是在凸多边形的扫描转换上文中所提算法明显优于其他算法;对凹多边形也只需在凸多边形计算的基础上增加对凹边的判断与处理,但效率仍然高过其他算法.