中西方宗教雕塑不同视觉风格影响及溯源

雕塑是人类最早的艺术活动之一,宗教雕塑是雕塑艺术的重要组成部分。西方宗教雕塑注重写实,中国宗教雕塑注重写意;西方宗教雕塑真实生动、细致入微,中国宗教雕塑整体概括、气势恢宏。中西方宗教雕塑不同视觉风格的形成有着复杂的形而上和形而下的原因。就内因而言,是宇宙观、审美心理、情感表达方式等方面的差异,从外因而言,是哲学和自然科学、安放环境、外来文化、材料及处理等不同。追溯中西方宗教雕塑视觉风格的成因将有助于中西方的人文交流与文明互鉴。     

皮尔格轧机冷轧不锈钢管回弹预测模型的建立与验证

以皮尔格LG60轧机轧制304不锈钢管为例,研究皮尔格轧机冷轧不锈钢管回弹预测模型。首先通过单向拉伸试验及数据处理的方法得到材料的分段非线性本构方程;其次根据钢管轧制的塑性变形规律结合增量理论,得到变形过程中各应变分量的计算方法,并把钢管变形过程中的受力状态由三向应力状态转化为单向应力状态,利用材料的卸载定律建立冷轧钢管的回弹预测模型;最后通过大型有限元模拟软件DEFORM-3D进行完整轧制过程的3维有限元模拟仿真,并利用皮尔格轧机进行实际轧制试验验证来检验回弹预测模型的可靠性与正确性。结果表明,本模型精度较高,对皮尔格轧机孔型设计及实际生产中成品管尺寸精度控制有重要指导意义。     

裸置海底自沉降热油管道泄漏扩散的数值研究

根据计算流体力学建立海底海泥区域与海水区域的流固耦合传热多相流模型,海泥区域视为饱和含水多孔介质。运用软件模拟了裸置在海底的热油管道在输送过程中泄漏后原油在海泥和海水中的分布情况和温度场的变化情况,并对不同的泄漏点进行了分析。模拟时考虑了裸置海底管道的自沉降和海水中压强的影响。模拟结果表明,泄漏点对泄漏原油的扩散分布有很大影响;当泄漏点在土壤区域开始泄漏时,原油在土壤中呈弧形分布,过一段时间后沿土壤与管道外保温层流入海水中,顶端呈现喷射形,两侧呈螺旋状,并逐渐向海面流动;当泄漏点在海水区域时,泄漏的原油呈现喷射形,在浮力的作用下逐渐向海面流动;泄漏位置不同,海水和海泥温度场的分布有很大差异。海水区域和海泥区域的交界面对原油分布和温度场分布有很大影响。     

Simple Preparation of Crystal Co3（BTC）2·12H2O and Its Catalytic Activity in CO Oxidation Reaction

Crystalline metal-organic framework cobalt(Ⅱ) benzenetricarboxylate Co3(BTC)2?12H2O(MOF-Co) has been prepared using solvothermal method. The reaction of cobalt(Ⅱ) nitrate and 1,3,5-benzenetricarboxylic(BTC) acid in a mixed solution of N,N-dimethylformamide(DMF)/C2H5OH/H2O(1:1:1, ν/ν) at low temperature for short reaction times produced this crystalline compound. Compared with traditional hydrothermal method, a mixed solution method for the synthesis of crystalline metal complex was found to be highly efficient. After water molecules were removed from this metal complex, its exposed nodes served as active sites. When this MOF-Co was employed in the oxidation of CO, it showed good catalytic properties causing 100% conversion of CO to CO2 at low temperature of 160 ℃.     

窄粒级煤泥浮选经典动力学模型的改进

通过煤泥窄粒级浮选速率实验,以煤泥浮选一级动力学为基础,对煤泥浮选动力学的关键参数进行研究,包括最大可燃体回收率ε∞的计算、浮选级数n的确定、浮选速率常数K的变化.结果表明:浮选动力学模型中ε∞的经验解比模型解更符合实际;窄粒级煤泥的浮选动力学级数最符合一级动力学;窄粒级煤泥的浮选速率常数K是时间的函数,可用幂函数或经验公式表达,先求出ε∞的经验解,再求解K(t)函数,所得模型非常符合煤泥浮选特征的浮选动力学模型.     

Seismic Behaviour of Beam-Column Joints of Precast and Partial Steel Reinforced Concrete

A beam-column joint of precast and partial steel reinforced concrete( PPSRC) is proposed for precast reinforced concrete frames. The PPSRC consists of partial steel and reinforced concrete. The partial steel is located in the core joint region and the connections between concrete members. This paper presents an experimental study of a series of PPSRC specimens. These specimens are tested under low cyclic loading.Experimental results demonstrate that the bearing capacity of the PPSRC specimens is 3 times that of the ordinary reinforced concrete( RC) beam-column joints. The strength and stiffness degradation rates are slower compared with that of the RC beam-column joints. In addition,the strength of the core joint region and the connections is higher than other parts of the PPSRC specimens. Beam failure occurs firstly for the PPSRC specimens,followed by column failure and connections failure. The failure of the core joint region occurs finally.Test results show that the seismic performance of the PPSRC is better than that of the ordinary RC beam-column joints.     

A Semi-Supervised WLAN Indoor Localization Method Based on 1-Graph Algorithm

For indoor location estimation based on received signal strength (RSS) in wireless local area networks (WLAN), in order to reduce the influence of noise on the positioning accuracy, a large number of RSS should be collected in offline phase. Therefore, collecting training data with positioning information is time consuming which becomes the bottleneck of WLAN indoor localization. In this paper, the traditional semi-supervised learning method based on k-NN and ε-NN graph for reducing collection workload of offline phase are analyzed, and the result shows that the k-NN or ε-NN graph are sensitive to data noise, which limit the performance of semi-supervised learning WLAN indoor localization system. Aiming at the above problem, it proposes a 1-graph-algorithm-based semi-supervised learning (LG-SSL) indoor localization method in which the graph is built by 1-norm algorithm. In our system, it firstly labels the unlabeled data using LG-SSL and labeled data to build the Radio Map in offline training phase, and then uses LG-SSL to estimate user’s location in online phase. Extensive experimental results show that, benefit from the robustness to noise and sparsity of 1-graph, LG-SSL exhibits superior performance by effectively reducing the collection workload in offline phase and improving localization accuracy in online phase.     

基于ALC的事例库结构及检索研究

为了提高基于ALC的事例检索的效率,通过概念距离及LCS推理给出了索引节点密度大且带权重的事例库层次结构,实现了事例更细致的分类及统一概念距离的语义。根据该结构的组织方式、LCS概念及概念距离给出了事例筛选及相似性度量算法,证明了通过事例筛选得到的候选事例集明显减小,采用相似性度量算法能得到合理的候选事例序列,从而提高了基于ALC的事例检索的效率。