楔形环管片纵向接头对施工荷载力学响应研究

楔形环管片是盾构隧道曲线段的重要组成部分。以珠海-澳门轻轨某急弯隧道为例,利用ANSYS有限元软件计算了楔形环管片在不同管片幅宽、楔形量、隧道曲率半径、千斤顶压力等条件下管片纵向接头的受力情况,重点分析了管片环间接头的最大正负弯矩。研究结果表明:随着盾构隧道曲线半径减小,正负最大弯矩均增大,不同隧道转弯半径下,管片最大正负弯矩均随接头抗弯刚度的增大而增大;不论正负弯矩,均有管片幅宽越小最大弯矩越大的现象。不同管片幅宽下,管片最大正负弯矩均随接头抗弯刚度的增大而增大;曲线半径为150 m时,最大正弯矩基本随着千斤顶压力呈线性增大的趋势,最大约为1 180 k N·m。研究结果对今后的急弯盾构隧道管片设计有一定的指导意义。     

Residual strength of hybrid-fiber-reinforced high-strength concrete after exposure to high temperatures

Residual strengths of high-strength concrete (HSC) and hybrid-fiber-reinforced high-strength concrete (HFRHSC) after exposure to high temperatures were investigated in the paper. The results showed that normal HSC is prone to spalling after exposure to high temperatures, and its first spalling occurs when the temperature approaches 400 °C. For HSC reinforced by high melting point fibers, the first spalling occurs when the temperature reaches to approximately 800 °C, while there is no spalling during exposing to high temperatures for HSC reinforced by polypropylene (PP) fiber with a low melting point. Mixing high melting point fiber (i.e., carbon or steel fiber) with low melting point fiber (i.e., PP fiber) HSC greatly improves the properties of HSC after exposure to high temperatures.     

Hybrid clustering solution selection strategy

Cluster ensemble approaches make use of a set of clustering solutions which are derived from different data sources to gain a more comprehensive and significant clustering result over conventional single clustering approaches. Unfortunately, not all the clustering solutions in the ensemble contribute to the final result. In this paper, we focus on the clustering solution selection strategy in the cluster ensemble, and propose to view clustering solutions as features such that suitable feature selection techniques can be used to perform clustering solution selection. Furthermore, a hybrid clustering solution selection strategy (HCSS) is designed based on a proposed weighting function, which combines several feature selection techniques for the refinement of clustering solutions in the ensemble. Finally, a new measure is designed to evaluate the effectiveness of clustering solution selection strategies. The experimental results on both UCI machine learning datasets and cancer gene expression profiles demonstrate that HCSS works well on most of the datasets, obtains more desirable final results, and outperforms most of the state-of-the-art clustering solution selection strategies.     

Hybrid materials based on metal oxides and poly(organophosphazenes)

In this paper the sol-gel preparation of hybrid materials made of metal oxide and polytorganophosphazenel components is described. The main problem focused on during this research was to avoid phase separation in order to get homogeneous materials. This problem was pursued looking at the formation of genuine chemical bonds between the exploited polyphosphazenes and the inorganic composite networks. Investigations on the thermal, mechanical, and electroconductive properties of the synthesized, phosphazene-containing composite materials showed that these matrices presented improved mechanical and thermal features with respect to those of the original phosphazene macromolecule, while the ionic conductivities of the prepared molecular hybrids doped with lithium or silver trillate are of the same order of magnitude as those measured for the neat, original phosphazene substrate.Presented at the Ist Italian Workshop on Cyclo- and Polytphosphazenel Materials. February 15–16, 1996. at the CNR Research Area in Padova, Italy.     

不同缝面形态下诱导缝开裂效果对比研究

一些采用径向扭缝的碾压混凝土拱坝工程中,出现了诱导缝周边坝体混凝土开裂而诱导缝本身未张开的现象,因此需定量分析不同空间形态缝面对诱导缝开裂的影响效果。根据碾压混凝土拱坝应力变化特点以及诱导缝开裂变化规律,本文拟定含不同缝面空间形态的有限大平板和圆筒拱坝算例,利用虚拟裂纹闭合法和Richard脆性断裂准则获取空间缝面等效应力强度因子,研究缝面应力强度因子随缝面夹角的变化规律;通过对归一化后的应力强度因子求倒数,获取不同缝面夹角条件下诱导缝等效强度的修正系数即缝面空间形态影响因子,以反映不同缝面空间形态下诱导缝开裂效果。研究表明,随着缝面夹角的不断增大,缝面越不容易张开,这就意味着缝面的等效强度在逐渐增大。因此,在实际碾压混凝土拱坝设计中,诱导缝应尽量采用竖向垂直缝布置;若要布置成径向扭缝,则缝面夹角最大不宜超过10°。     

考虑卸荷损伤的柱状节理岩体开挖特性研究

通过建立柱状节理岩体径向应力比与力学劣化系数的数学关系,获取柱状节理岩体卸荷损伤效应的定量表达式。结合FLAC~(3D)提出一种考虑卸荷损伤的柱状节理岩体开挖分析方法,实现岩体单元的力学参数在开挖过程中随实际应力状态得到动态调整。在此基础上开展柱状节理岩体试验洞的开挖特性分析。结果表明,考虑卸荷损伤的计算数据与实测数据基本吻合,试验洞围岩的位移、体积应变增量和塑性区均随开挖断面的逐步增加而增大,且呈边墙最大,底板次之,拱顶最小的分布规律。最后采用体积应变增量大于0.10%和塑性区作为岩体松弛的综合判别指标,其分析结果与钻孔声波测试数据相一致。     

Conductive hybrid film from polyaniline and polyurethane-silica

In order to improve the mechanical performance and water resistance of water-borne conducting polyaniline film, conducting polyaniline/polyurethane-silica hybrid film was prepared in aqueous solution employing silanol-terminated polyurethane and methyltriethoxysilane as sol-gel precursors. The hybrid film showed surface resistivity of 10⁸ Ω even though the conducting polyaniline loading was only 10 wt% (or 1.5 wt% of polyaniline), and the mechanical performance as well as water resistance was significantly improved, making it suitable for antistatic application. Therefore, a practical route to water-borne processing of conducting polyaniline is disclosed.     

New results on PWARX model identification based on clustering approach

This paper deals with the problem of piecewise auto regressive systems with exogenous input(PWARX) model identification based on clustering solution. This problem involves both the estimation of the parameters of the affine sub-models and the hyper planes defining the partitions of the state-input regression. The existing identification methods present three main drawbacks which limit its effectiveness. First, most of them may converge to local minima in the case of poor initializations because they are based on the optimization using nonlinear criteria. Second, they use simple and ineffective techniques to remove outliers. Third, most of them assume that the number of sub-models is known a priori. To overcome these drawbacks, we suggest the use of the density-based spatial clustering of applications with noise(DBSCAN) algorithm. The results presented in this paper illustrate the performance of our methods in comparison with the existing approach. An application of the developed approach to an olive oil esterification reactor is also proposed in order to validate the simulation results.     

A global energy optimization framework for 2.1D sketch extraction from monocular images

The 2.1D sketch is a layered image representation, which assigns a partial depth ordering of over-segmented regions in a monocular image. This paper presents a global optimization framework for inferring the 2.1D sketch from a monocular image. Our method only uses over-segmented image regions (i.e., superpixels) as input, without any information of objects in the image, since (1) segmenting objects in images is a difficult problem on its own and (2) the objective of our proposed method is to be generic as an initial module useful for downstream high-level vision tasks. This paper formulates the inference of the 2.1D sketch using a global energy optimization framework. The proposed energy function consists of two components: (1) one is defined based on the local partial ordering relations (i.e., figure-ground) between two adjacent over-segmented regions, which captures the marginal information of the global partial depth ordering and (2) the other is defined based on the same depth layer relations among all the over-segmented regions, which groups regions of the same object to account for the over-segmentation issues. A hybrid evolution algorithm is utilized to minimize the global energy function efficiently. In experiments, we evaluated our method on a test data set containing 100 diverse real images from Berkeley segmentation data set (BSDS500) with the annotated ground truth. Experimental results show that our method can infer the 2.1D sketch with high accuracy.