液晶显示屏中液晶层的等效分析模型

文章采用复合材料力学的分析方法,建立了正交各向异性的液晶层等效模型;利用有限元法分析了简化液晶屏的三维模型和等效模型,检验了液晶层等效模型的有效性;针对正交各向异性和各向同性2种液晶层等效模型,计算并比较了液晶屏中的热应力和热位移。结果表明:液晶屏在受温度载荷作用时,文中所建立的液晶层等效模型与实际结构吻合得很好;在受力作用时,等效模型会产生一定的误差;在液晶屏的热应力计算时,2种液晶层等效模型的应力和位移均有一定的差别。     

Ti/Cu/不锈钢爆炸复合界面层的电子显微组织

采用扫描电镜(SEM)与电子探针(EPMA)研究了Ti(合金)/Cu/不锈钢(S.S)爆炸复合界面层的电子显微组织特征,分析了界面层成分再分布规律及化合物的形成。结果表明,CU/S.S界面层具有明显的爆炸焊接波状组织,波长约200μm。Ti/Cu界面层呈锯齿波状,比较细小,波长仅30～40μm。在中间过渡层Cu,观察到大量的应力应变流线,显示爆炸复合过程冲击波流动特征。SEM照片及EPMA合析结果表明:在高温、高压、快速爆炸焊接过程中存在着复杂的冶金物理反应,形成多种反应产物。界面层除发生塑性形变外,还存在相互扩散,熔化和回复再结晶。     

带衬底的半透明前电极热释电探测器的分析

本文用热扩散模型给出了带衬底的半透明前电极热释电探测器响应率表达式,并计算了在衬底和热释电材料吸收系数共同影响下的器件响应率和噪声等效功率,着重分析了热释电材料吸收系数对热释电探测器性能的影响及器件最佳响应厚度与频率之间的关系。     

4-Hydroxynonenal-modified amyloid-beta peptide inhibits the proteasome: possible importance in Alzheimer's disease

The amyloid β-peptide (Aβ) is a 4-kDa species derived from the amyloid precursor protein, which accumulates in the brains of patients with Alzheimer’s disease. Although we lack full understanding of the etiology and pathogenesis of selective neuron death, considerable data do imply roles for both the toxic Aβ and increased oxidative stress. Another significant observation is the accumulation of abnormal, ubiquitin-conjugated proteins in affected neurons, suggesting dysfunction of the proteasome proteolytic system in these cells. Recent reports have indicated that Aβ can bind and inhibit the proteasome, the major cytoslic protease for degrading damaged and ubiquitin-conjugated proteins. Earlier results from our laboratory showed that moderately oxidized proteins are preferentially recognized and degraded by the proteasome; however, severely oxidized proteins cannot be easily degraded and, instead, inhibit the proteasome. We hypothesized that oxidatively modified Aβ might have a stronger (or weaker) inhibitory effect on the proteasome than does native Aβ. We therefore also investigated the proteasome inhibitory action of Aβ _1–40 (a peptide comprising the first 40 residues of Aβ) modified by the intracellular oxidant hydrogen peroxide, and by the lipid peroxidation product 4-hydroxynonenal (HNE). H₂O₂ modification of Aβ _1–40 generates a progressively poorer inhibitor of the purified human 20S proteasome. In contrast, HNE modification of Aβ _1–40 generates a progressively more selective and efficient inhibitor of the degradation of fluorogenic peptides and oxidized protein substrates by human 20S proteasome. This interaction may contribute to certain pathological manifestations of Alzheimer’s disease Received 26 September 2000; accepted 26 September 2000     

钢-砼结合梁温度应力的弹性力学解

采用弹性理论的半逆解法,视静定钢-砼结合梁为平面应力问题,将应力函数取为三角级数,考虑钢与混凝土的相对滑移,推导了钢-砼结合梁在一般温度分布作用下的应力公式。最后,通过算例,计算了钢-砼结合梁在温差、日照温度变化和骤然降温三种工况下的温度应力。     

Predicting Stock Return Volatility: Can We Benefit from Regression Models for Return Intervals?

We study the performance of recently developed linear regression models for interval data when it comes to forecasting the uncertainty surrounding future stock returns. These interval data models use easy‐to‐compute daily return intervals during the modeling, estimation and forecasting stage. They have to stand up to comparable point‐data models of the well‐known capital asset pricing model type—which employ single daily returns based on successive closing prices and might allow for GARCH effects—in a comprehensive out‐of‐sample forecasting competition. The latter comprises roughly 1000 daily observations on all 30 stocks that constitute the DAX, Germany's main stock index, for a period covering both the calm market phase before and the more turbulent times during the recent financial crisis. The interval data models clearly outperform simple random walk benchmarks as well as the point‐data competitors in the great majority of cases. This result does not only hold when one‐day‐ahead forecasts of the conditional variance are considered, but is even more evident when the focus is on forecasting the width or the exact location of the next day's return interval. Regression models based on interval arithmetic thus prove to be a promising alternative to established point‐data volatility forecasting tools. Copyright ©2015 John Wiley & Sons, Ltd.     

陷落柱影响采场围岩破坏的数值模拟分析

针对岱庄煤矿4325工作面在掘进过程中揭露一岩溶陷落柱的情况,结合以往研究成果和工作面实际情况,利用FLAC3D数值模拟软件建立三维模型,对工作面距岩溶陷落柱不同距离的垂直应力和水平应力进行模拟,分析得到：该工作面垂直应力、水平应力均小于地应力的正常值;由于岩溶陷落柱的存在,使应力应变分布极不均匀,陷落柱附近顸板应力在垂直方向的作用范围在40～50m．远离陷落柱其影响逐渐减小,但对底板岩层的最大破坏深度为25m。     

三维模拟高温高静水压下矿物颗粒边界应力分布

为探讨矿物颗粒边界应力分布规律,采用有限元程序ANSYS三维模拟、计算高温(800℃)、高静水压(1.6GPa)下,立方体结构的镁橄榄石和透辉石矿物集合体在加压瞬间各向同性完全弹性变形时的应力场。通过改变矿物颗粒边界层组成物质的弹性模量与泊松比,进一步计算、分析边界层的等效应力和组分矿物的体积模量系数。研究结果表明:两矿物颗粒边界具有应力集中现象,边界层内部应力分布不均,颗粒边界层的等效应力等值线随着颗粒边界组成物质的弹性模量的微小改变而变化明显;2种不同矿物颗粒构成的过渡边界层的等效应力与其组分矿物的体积模量系数呈高斯函数关系;矿物颗粒边界层的等效应力与其组成物质的弹性模量之间具有高斯分布规律。     

遗传算法在飞机目标识别中的应用

针对雷达目标识别中特征维数压缩和神经网络的隐含层结点数的确定等关键问题 ,提出了一种基于遗传算法的目标识别方法 ,该方法首先构造了一个符合目标识别这一特定问题的初始种群 ,然后利用遗传算法模拟生物遗传迭代和自然选择的遗传机理 ,通过多次遗传迭代最终收敛于问题的一个满意解。最后将该方法用于对三类飞机目标的分类和识别 ,验证了该方法用于目标分类和识别的可行性和有效性。     

R&R Analysis for Measurement System Using Moving Range

1　IntroductionMetrology is an important aspect of manufacturing because measurements are necessaryfor monitoring and controlling processes. The quality of data depends on the gauges andother tools used for the measurementof measured variables.With the greater reliance onquantitative measurements in modern manufacturing industry,the criticality of gauge ca-pability analysis has increased.The goal of gauge capability analysis is the understandingand quantification of the sources of variability …