Nonmechanical criteria proposed for prediction of hot tearing sensitivity in 2024 aluminum alloy

Two theoretical criteria represented by Katgerman, and Clyne and Davies for prognosticating hot tearing sensitivity were compared. Both unrefined and grain-refined samples of Al2024 alloy were solidified at various cooling rates ranging from 0.4 to 17.5 °C/s. Thermal analysis was used to detect dendrite coherency point and temperature of eutectic reaction. Curves of solid and liquid fractions were plotted based on Newtonian method to determine hot tearing susceptible areas. The experimental results show that the most susceptible zone in which hot tearing can occur in Al2024 is where Al₂CuMg intermetallic compound forms as a eutectic phase at last stage of mushy-state interval. Also, both criteria are in a good agreement with each other at high cooling rates used in direct-chill casting process while Clyne and Davies' model is more acceptable to determine hot tearing tendency from low to medium cooling rates.     

Coherency strain induced hardening in bulk polycrystalline ceramics: A case study with MgO-based “ceramic alloys”

The role of coherency strain at the matrix/precipitate interface toward hardening of bulk polycrystalline “ceramic alloys” has been established here. Formation of “near ideal” bulk polycrystalline ceramic microstructure characterized by the presence of uniformly distributed coherent “ultra-fine” MgCr₂O₄ particles (size: ~25 nm) within matrix (MgO) grains was achieved via solid-state precipitation during aging treatment of bulk supersaturated MgO–Cr₂O₃ solid solutions (formed during pressureless sintering in air, followed by fast cooling). The as-aged MgO–MgCr₂O₄ “ceramic alloys” exhibited hardness increment by ~73% over that of phase pure bulk MgO upon aging for just 10 hours at 1000°C in air. Evidences toward the presence of significant coherency strains across the MgO/MgCr₂O₄ coherent interfaces were obtained with transmission electron microscopy. Analysis based on hardening mechanisms and comparisons with MgO–MgFe₂O₄ system, having lesser hardening due to lower misfit strain at MgO/MgFe₂O₄ coherent interfaces (despite greater content of second-phase particles), confirm the dominant role of coherency strains toward hardness enhancement in “ceramic alloys.”     

考虑岩土介质随机特性的工程场地地震动随机场分析

将随机结构正交展开理论和随机振动分析的虚拟激励原理运用于场地波动有限元分析,形成了一种可以考虑岩土介质随机特性对工程场地地震动相干函数影响的分析方法。实例分析表明,场地介质随机特性将在场地卓越频率附近显著降低迟滞相干函数值,在进行工程场地地震动随机场研究时应当考虑场地介质随机特性的影响。     

基于SVM和能量最小化的PolSAR图像分类方法

极化合成孔径雷达(PolSAR)采用全极化的工作方式可以获取地物的多种特征,利用这些特征对地物进行分类是PolSAR图像的重要应用方向。不同的特征和分类器对分类精度有着较大的影响。提出了一种基于支持向量机(SVM)和能量最小化(EM)的极化SAR图像地物分类方法。该方法选择基于6种散射模型的分解方法(6SD)所得的6部分散射能量、总散射能量span和3个极化相干矩阵旋转域角参数作为SVM的输入,得到图像分类结果,并使用基于图割的能量最小化算法α-expansion对分类结果进行优化。最后使用AIRSAR系统获得的Flevoland地区的数据进行实验,结果表明所提算法可以提高总体分类精度,总体分类精度为95.6%,高于其他方法的92.3%。所提算法可以较大幅度地提高散射机理明显的区域,如建筑、森林、水域、草地等区域的分类精度。另外,结合EM优化结果可以提高所有种类的分类精度,其中在苜蓿、小麦1、小麦2、裸地、草地、油菜籽等区域的分类精度可提高1%以上。     

Abrahamson相干模型对核电站构筑物埋置地下部位抗震响应的影响

本文采用Abrahamson的空间相干性模型,并考虑基础埋置效应,针对硬岩、软土厂址对核电站构筑物开展空间相干性地震反应谱分析,评估其非一致性对于埋置部位的地震响应谱影响情况,并得出对于低频区段地面的空间非一致性影响反应谱程度与埋置面接近;而高频区段地面的空间非一致性影响反应谱程度比埋置面要大的结论。     

Coherence Analysis of Boiling Water Reactor Noise

Empirical studies of coherences between measurement variables from the operating data of a commercial nuclear power station of 460 MWe are applied to derive dynamical characteristics of the Boiling Water Reactor and to attempt to identify the noise sources of the neutron flux. Multivariate techniques with the partial coherence function and the multiple coherence function are introduced to eliminate correlated effects among measurement variables due to thermal hydraulic coupling and sophisticated reactivity feedbacks. From the results, the usual coherency (the ordinary coherence function) may not be adequate to estimate linear relations between measurement variables of the BWR. Furthermore, the noise sources of the neutron flux is discussed.     

An efficient real‐time method of analysis for non‐coherent fault trees

Fault tree analysis is commonly used to assess the reliability of potentially hazardous industrial systems. The type of logic is usually restricted to AND and OR gates, which makes the fault tree structure coherent. In non‐coherent structures not only components' failures but also components' working states contribute to the failure of the system. The qualitative and quantitative analyses of such fault trees can present additional difficulties when compared with the coherent versions. It is shown that the binary decision diagram (BDD) method can overcome some of the difficulties in the analysis of non‐coherent fault trees. This paper presents the conversion process of non‐coherent fault trees to BDDs. A fault tree is converted to a BDD that represents the system structure function (SFBDD). An SFBDD can then be used to quantify the system failure parameters but is not suitable for the qualitative analysis. Established methods, such as the meta‐products BDD method, the zero‐suppressed BDD (ZBDD) method and the labelled BDD (L‐BDD) method, require an additional BDD that contains all prime implicant sets. The process using some of the methods can be time consuming and is not very efficient. In addition, in real‐time applications the conversion process is less important and the requirement is to provide an efficient analysis. Recent uses of the BDD method are for real‐time system prognosis. In such situations as events happen, or failures occur, the prediction of mission success is updated and used in the decision‐making process. Both qualitative and quantitative assessments are required for the decision making. Under these conditions fast processing and small storage requirements are essential. Fast processing is a feature of the BDD method. It would be advantageous if a single BDD structure could be used for both the qualitative and quantitative analyses. Therefore, a new method, the ternary decision diagram (TDD) method, is presented in this paper, where a fault tree is converted to a TDD that allows both qualitative and quantitative analyses and no additional BDDs are required. The efficiency of the four methods is compared using an example fault tree library. Copyright © 2008 John Wiley & Sons, Ltd.     

Effect of temporal aggregation on multiple time series in the frequency domain

The effect of temporal aggregation on bivariate spectral measures is investigated. First, the low‐frequency regression coefficient turns out to be invariant under aggregation irrespective of differencing, with the exception of when the aggregation of flow and stock variables is combined. Second, the long‐run squared coherency is invariant with respect to aggregation irrespective of differencing. Third, for frequencies different from zero, limiting results for a growing aggregation level m are obtained equal to those at frequency 0 of the underlying basic series. Hence, all frequency domain information is distorted by aggregation apart from the long‐run one. This also holds true for the phase angle that always approaches zero with growing aggregation level m. The sole exception to these findings is the case of the skip sampling stationary series. Moreover, for finite aggregation level, one may exactly quantify the aggregational effect on each cycle of interest. Numerical examples illustrate our results.     

系统间实时同步问题的研究

介绍群同步的原理 ,分析采用巴克码编码的连贯式插入法群同步的特征以及具体的实现 ,并对其性能和抗干扰能力进行仿真分析。该方法对于系统间的远程协同具有借鉴作用     

煤田采区三维地震资料精细解释方法及应用

三维地震勘探在煤田主要解决构造问题,因各地区地质情况的复杂程度不同,虽然已经过十多年的发展,但构造解释的准确度也有不同程度的差异。随着计算机技术发展和石油物探方法的引进,煤田采区三维地震勘探资料高信噪比、高分辨率为精细解释提供了可能。本文利用小波分析技术、方差体技术、图象处理等多种方法,结合已知采区的实例,对小断层做了精细构造解释,提高了三维地震资料构造解释的精度。