Computational uncertainty analysis in multiresolution materials via stochastic constitutive theory

A stochastic constitutive theory is proposed in this work to propagate microstructure uncertainties in computational multiscale continuum models to bulk multiresolution material behavior. Ubiquitous fine resolution uncertainty sources influencing prediction of material properties based on their structures are categorized in detail, and this research transmits these uncertainties to coarser material resolutions by introducing a stochastic constitutive theory deduced from volume element simulations. To implement the stochastic upscaling process, two advanced uncertainty quantification methods are examined: statistical copula functions and random process polynomial chaos expansion. Both methods confront the mathematical difficulty in randomizing constitutive laws by capturing the marked correlation among constitutive parameters seen in complex materials, thus the results proffer a more accurate probabilistic estimation of constitutive material behavior. The contribution of this work is twofold: uncertainty is propagated from heterogeneous material “structure” to material “property” via the stochastic constitutive theory, and rigorous, data-driven mathematics are formalized to represent complicated dependence structures in multivariate statistical distributions. To the authors’ knowledge, this is the first work in multiresolution mechanics that presents an approach to computationally derive correlation functions from numerical experiments, as opposed, for instance, to assuming one a priori. The method put forth in this research, though quite general, is applied to a mathematical example and plastic, high strength steel alloy for demonstration. Results include stochastic constitutive curve confidence intervals for the material stress–strain response and qualitative comparisons of the two stochastic methods detailed herein.     

厚度方向性能Q345EZ35中厚板的开发

介绍了厚度方向性能Q345EZ35中厚板开发的主要技术和关键环节,该中厚板的实物质量符合国家标准要求。     

Effects of High Magnetic Fields on the Distribution and Alignment of Primary Phases in an Al-12Si-11.8Mg-6.5Ti Alloy

Al-12Si-11.8Mg-6.5Ti alloy samples were solidified in high magnetic fields with various magnetic field gradients. The effects of high magnetic fields on the distribution and alignment of primary phases in the alloys were investigated. It was found that the uniform magnetic field could improve the homogeneity of the primary Mg₂Si, whereas the magnetic field gradient caused the two-layer core grains ((Al,Si)₃Ti and Ti₅Si₄) to segregate at certain regions of the samples depending on the magnetic field gradient direction. The primary (Al,Si)₃Ti strips were oriented with their c axes perpendicular to the magnetic field direction and aligned with their long axes along the magnetic field direction. The changes in the distribution of the primary Mg₂Si and two-layer core grains were caused by the Lorentz force and magnetic force, which could counteract and cause the migration of these phases, respectively. The alignment of the primary (Al,Si)₃Ti could be attributed to the combination of the magnetic orientation and solute redistribution.     

Effect of Compression on the Crystallization Behavior and Corrosion Resistance of Al86Ni9La5 Amorphous Alloy

The effect of compression on the crystallization behavior and corrosion resistance of Al(86)Ni9La5 amorphous ribbons was investigated by X-ray diffraction (XRD), transmission electron microscopy (TEM), scanning elec-tron microscopy (SEM) and electrochemistry test. The XRD and TEM results reveal that the compressed Al(86)Ni9La5 ribbons spun with the circumferential speed (R) of 29.3 m/s are in fully amorphous state; however, the compressed ribbons spun with R=14.7 m/s have crystalline phases embedded in the amorphous matrix. The SEM images indicate that after compression, the toughness of the ribbons increases. Electrochemical results show that the compression decreases the stability of the passive film of the Al(86)Ni9La5 amorphous ribbons, because of the compression-introduced free volume, shear bands and crystalline phases; meanwhile, with R=14.7 m/s, the compression-induced crystalline phases in the Al(86)Ni9La5 ribbons increase the corrosion potential.     

A Lie-group adaptive differential quadrature method to identify an unknown force in an Euler–Bernoulli beam equation

We recover an unknown space–time-dependent force in an Euler–Bernoulli beam vibration equation by an effective combination of the Lie-group adaptive method (LGAM) and the differential quadrature method (DQM). The layer-stripping technique is used to simplify this identification problem. The DQM is a feasible tool to semi-discretize the Euler–Bernoulli beam equation into a system of ordinary differential equations (ODEs) in time. Then, we can develop a two-point Lie-group equation to recover the unknown force through a few iterations. The success of the present method hinges on a rationale that the local in time ODEs and the global in time algebraic Lie-group equation have to be self-adapted during the iteration processes. The feasibility, accuracy and efficiency of the present method are assessed by comparing the estimated results with some exact solutions.     

Oil-field wastewater purification by magnetic separation technique using a novel magnetic nanoparticle

In the present work, oil-field wastewater purification through superconducting magnetic separation technique using a novel magnetic nanoparticle was investigated. The magnetic nanoparticle, which has a multi-shell structure with ferroferric oxide as core, dense nonporous silica as inter layer and mesoporous silica as outer layer, was synthesized by co-precipitation method. To functionalize the magnetic nanoparticle, plasma polymerization technique was adopted and poly methyl acrylate (PMA) was formed on the surface of the nanoparticle. The multi-shell structure of the nanoparticle was confirmed by transmission electron microscope (TEM) and the characteristic is measurable by FTIR. It is found that most of the pollutants (85% by turbidity or 84% by COD value) in the oil-field wastewater are removed through the superconducting magnetic separation technique using this novel magnetic nanoparticle.     

A hardware software co-design method for control transfer optimization in binary translation system

针对控制转移开销是影响二进制翻译和优化系统性能的主要因素,进行了提高二进制翻译优化系统性能的研究,提出并实现了硬件设计开销较小的基于硬件内容可寻址存储器(CAM)机制的软硬件协同设计方法.通过实验充分分析了CAM大小、软件替换算法对CAM命中率的影响,并根据分析提出了一种新颖的、软硬件结合的降低CAM访问缺失率的方法.该方法相对于传统的软件和硬件优化方法,硬件实现及验证复杂度低且优化效果明显.实验结果表明该方法使得二进制翻译系统整体性能提高了13.44％.该方法已实际应用于龙芯x86二进制翻译系统中.     

与或功能树的无损简化方法

当前概念设计中较大规模功能树存在解空间庞大、冲突定位困难的问题,对此提出基于与或功能树的无损简化方法。证明了无损收缩简化、无损删除简化、无损提取简化的相关定理,并籍此给出与或功能树的无损简化算法。最后通过实例,证明该算法可在保持逻辑等价和创新能力不损失的前提下有效降低问题的复杂度,从而提高了概念设计的效率。     

接地的应用讨论

接地工程的广泛性和重要性已是大家的共识,根据近年来的施工经验,对接地进行简要的介绍和探讨。