压密试验中破碎岩石压密特性的本构方程及数值模拟分析

 在以往室内压密试验的基础上,利用变量依存性本构方程对压密试验中试样的压密特性进行数值模拟。本构方程中,假定岩石破坏速度随着破坏接近度Sv的增加而增大;将破坏接近度扩展到三维应力状态,且在破坏接近度为负值的区域,引进强度恢复参数Hp(Hp= –Sv);通过假定压密岩石强度的恢复程度依赖于恢复参数Hp,对本构方程进行修正。从数值模拟结果可以看出：在压密过程中依存性变量? 逐渐变小时,修正后的本构方程可以描述压密过程中岩石的性质;尽管还需进一步研究和完善修正本构方程,但其具有较强的应用前景,能够较好地描述压密试验中破碎岩石的压密特性,解释地下建筑物围岩开挖扰动区的恢复现象。     

Centrifuge model test on dynamic behavior of group-pile foundation With inclined piles and its numerical simulation

In this paper, dynamic behavior of a grouppile foundation with inclined piles in loose sand has been investigated with centrifuge model tests. The test results are also simulated with elastoplastic dynamic finite element method, in which, not only sectional force of piles, stress of ground, but also deformation of piles are calculated using a three-dimensional elastoplastic dynamic finite element analysis (Code name: DGPILE-3D). The numerical analyses are conducted with a full system in which a superstructure, a pile foundation and surrounding ground are considered together so that interaction between pile foundation and soils can be properly simulated because the nonlinearities of both the pile and the ground are described with suitable constitutive models. Different types of piles, vertical pile or inclined pile, are considered in order to verify the different characteristics of a group pile foundation with inclined piles. The validity of the calculation is verified by the model tests.     

Lead solubility in FeO x -CaO-SiO2 slags at iron saturation

Experiments have been carried out to determine the equilibria between FeO _x -CaO-SiO₂ slag and lead metal in iron crucibles at temperatures ranging from 1473 to 1573 K. It has been found that the highest lead solubilities are observed in the silica-saturated iron silicate slags, while the lowest solubilities are observed in the CaO-saturated calcium ferrite slags. The activity coefficient of PbO varies from 0.15 to 3, depending on the slag composition. Changes in temperature do not have a significant impact on the activity coefficient. The activity of FeO and pct Fe³⁺/pct Fe²⁺ ratios have been determined as a function of slag composition. These new experimental data have been incorporated into an optimized thermodynamic slag model using the computer package FACT.     

自确认压力传感器结构参数设计及其有限元分析

设计了自确认压力传感器弹性体的结构参数,包括弹性体的材料选择,弹性体的形状、厚度和半径,建立了应变片在弹性体上的多组布片方案,为压力传感器实现自确认功能奠定了基础.应用有限元分析软件ANSYS对所设计的传感器弹性体进行了动、静态分析,获得了弹性体在受力情况下的位移、应力、应变分布状态,并且计算了弹性体的固有频率,分析结果表明,所设计的弹性体满足自确认压力传感器的设计要求.     

Electrochemical supercapacitor behavior of nanoparticulate rutile-type Ru1−xVxO2

Rutile-type Ru_1−xV_xO₂ nanoparticles possessing high surface area were prepared by a polymerizable-complex method and its electrochemical supercapacitor behavior was studied. X-ray diffractometry, energy-dispersive X-ray analysis, and N₂ adsorption/desorption measurements were used to characterize the structure of the products. The electrochemical supercapacitor behavior of thick and thin films was studied by cyclic voltammetry in various acidic, neutral, and alkaline electrolytes. Ru_1−xV_xO₂ exhibited extremely enhanced supercapacitive properties compared to pure RuO₂. The highest surface redox activity was achieved with an acidic electrolyte. Ru_1−xV_xO₂ showed negligible surface redox activity in neutral electrolytes.     

Human gait analysis based on biological motion and evolutionary computing

Human motion has already deeply affected many aspects of psychological and social research. On the other hand, because of the huge challenges and new dimensions of its increasingly extreme applications, this field remains an inspiring area in which to explore rich possibilities in the fields of artificial intelligence and bio-informatics. In this research, we investigated a novel approach to identify individuals based on their gaits. Furthermore, we investigated a new avenue of the research toward the biometric identification of humans that involves the classification of human gait using the power of genetic programming (GP). Moreover, we also propose an approach that applies collaborative filter using multiple evolved classifiers to address the challenges of non-determinism and insufficient generality of GP.     

基于最小二乘支持向量机预测器的传感器故障检测与数据恢复

本文介绍了最小二乘支持向量机（LS-SVM）回归的基本原理，提出了一种基于LS-SVM回归的时间序列预测器，并将其用于传感器的故障检测和数据恢复。论述了LS-SVM预测器的实现方法和步骤，并且将其应用于压力传感器的故障检测和数据恢复，同线性神经网络预测器、RBF神经网络预测器和BP神经网络预测器的比较结果表明，LS-SVM预测器具有更高的预测精度，更好的外推能力，计算效率最高，因此，LS-SVM预测器是传感器故障检测和短期数据恢复的一种有效方法。     

气干与湿润状态下多孔隙岩石的黏弹性特性与力学模型

为研究多孔隙岩石的变形特性,提出一个适用于多孔隙岩石的非线形流变模型（本构方程）.本模型是由弹簧与阻尼器串连组成,弹簧部分采用作者曾经提出的本构方程;代表黏性部分的阻尼器设定加载前黏度很小,随着荷载的增加而逐渐加大.在低应力水平下的蠕变试验中,由于弹性系数没有明显的下降,因而设定阻尼器的应变与蠕变应变相同.为验证模型的准确性,对泥质砂岩、大谷凝灰岩、田下凝灰岩与河津凝灰岩4类岩石分别进行理论计算与试验测试.对于各类岩石,计算得到的应力-应变曲线与实测曲线基本一致,而且用此流变模型,发现气干与湿润状态下杨氏模量具有明显的差异.研究结果表明,在这2种状态下,杨氏模量的差异是由于非弹性应变（即阻尼器的应变）不同而引起的.在湿润状态下,阻尼器的应变增加越大,杨氏模量则变得越小.即使在较低的应力条件下,阻尼器的应变比以往研究中所认为的应变要大很多.