型钢翼缘狗骨式削弱在型钢混凝土节点的作用

为了防止地震时型钢混凝土节点核心区发生剪切破坏以及梁柱连接焊缝发生脆性断裂,提出对型钢混凝土节点核心区附近梁端型钢的上、下翼缘采取狗骨式削弱,并系统研究翼缘削弱对提高型钢混凝土节点抗震性能的作用.研究表明,由于在梁端型钢翼缘采取狗骨式削弱,不仅能够将塑性铰控制在梁型钢削弱的位置,从而有效地降低了节点核心区所受的剪力以及梁柱连接焊缝的应力;而且能够改善节点塑性铰区的转动能力和抗剪性能,提高节点的延性和耗能能力.     

彩钢岩棉夹芯屋面板、墙面板节点性能研究

为了掌握彩钢岩棉夹芯屋面板、墙面板与檩条的螺钉连接节点抗拉破坏机理,采用理论分析、试验验证及有限元模拟相结合的方法研究了不同钢板厚度及芯材厚度时节点破坏情况.分析结果表明:屋面板节点连接破坏是由于钢板局部屈曲引起的,墙面板则是钢板被冲剪破坏造成的,同时,结合对有限元模拟结果的回归,提出了节点承载力设计公式,可为以后节点设计提供参考.增加岩棉刚度及其与侧向钢板的粘结,或增加钢板厚度对提高屋面板节点极限承载力起着重要作用.     

实行(列)对称矩阵的QR分解

提出了行(列)倒置矩阵与行(列)对称矩阵的概念,研究了它们的性质,获得了一些新的结果,给出了实行(列)对称矩阵的QR分解的公式,它们可极大地减少行(列)对称矩阵的QR分解的计算量与存储量,而且不会降低数值精度.     

Moodle在中澳合作办学项目中的应用

Moodle以其经济性和易用性等特点,已在教育领域中得到广泛应用。浙江科技学院在中澳合作办学项目中,基于Moodle的网络教学平台成了联系中澳双方的纽带,为双方教师及学生参与各种教学活动提供了有效的途径。在分析了Moodle课程管理系统的特点和主要功能模块之后,介绍了Moodle在项目中的实际应用情况,指出了在使用这个教学平台过程中存在的不足。     

管板和传热管胀接应力应变的数值模拟及分析

蒸汽发生器是核电厂一回路与二回路的枢纽,传热管和管板的连接处为事故多发区,而机械加工过程残留的应力是引起裂纹的主要原因.应用有限元软件对某型蒸汽发生器中的传热管和管板的胀接过程进行瞬态模拟,得到不同胀接压力下的管板和传热管的残余应力和残余应变值,为传热管和管板最佳胀接参数的确定以及工作过程中应力腐蚀的预防提供理论依据.研究结果标明,管板孔表面的残余径向应力和残余径向应变值都是随胀接压力的增加而增加,且沿着轴向的变化规律相似.     

对合训学员计算机课程教学与信息素养培养的思考

针对合训学员在任职教育院校指挥信息系统相关课程学习中表现出的问题,提出关于提升合训学员计算机课程教学与信息素养培养效果的几点思考,为增强合训人才培养效果提供参考。     

Joint optimal sensing time and power allocation for multi-channel cognitive radio networks considering sensing-channel selection

In this paper,we consider a multi-channel cognitive radio network(CRN)where each secondary user(SU)can only choose to sense a subset of channels.We formulate a joint optimization problem of sensingchannel selection,sensing time and power allocation under the constraints of average transmit power budget and average interference power budget,which maximizes the CRN’s total throughput.We propose a greedy algorithm to solve the joint optimization problem,which has much less computational complexity.Moreover,it is shown that the search space of the greedy algorithm can be further pruned.Finally,numerical results demonstrate that the greedy algorithm has comparable performance to the exhaustive search algorithm.     

A Thermo-Mechanical Study of Some Epoxy Adhesives Subjected to Combined Dynamic and Static Stresses

The object of the present study was to investigate the effect of superimposed dynamic and static stresses on mechanical and thermal properties of some epoxy adhesives. It was found that combinations of shear creep and torsional oscillations, applied simultaneously to adhesive joints at temperatures within the glassy range of the adhesive, led to strengthening of the joints in shear and to an increase in the glass transition temperature of the adhesive. Similar loading stresses applied at temperatures close to the T_g of the adhesive, led to opposite effects on the above mentioned properties of the joints. The width of the glassy-rubbery transition of the adhesives increased, in the whole range of temperatures used in this study and for all epoxy compositions, as a result of subjecting the joints to superimposed dynamic and static stresses. The broadening of the glass transition was interpreted as a result of the stiffening of polymer network during the combined stressing experiments. A linear relationship was found between the area of endothermal peaks in the first DSC scan of specimens subjected prior to test to superimposed dynamic and static stresses at temperatures below T_g, and the shear strength of the joints. In agreement with this observation and with literature data, a linear relationship was revealed also between the glass transition temperature of the resins (measured in the first DSC scan) and the shear strength of the joints. Based on experimental observations and on some literature information, it was suggested that the strengthening of the joint, as well as the changes in thermal properties of the adhesives, are mainly due to physical processes, such as short-range orientation of network chains and an increase in intermolecular interaction between highly polar sites of the network. The possibility that superimposed stressing led to changes in chemical crosslinking was discussed but it seems that no such reactions occurred.     

KENAOTE：一种知识增强的方面和意见对提取多任务学习模型

方面和意见对提取旨在根据给定句子提取方面和意见项并匹配关系,然而相关研究通常独立提取方面和意见项,而不识别关系。为了识别方面和意见项关系,提出一种知识增强的方面和意见对提取多任务学习模型。首先使用预训练语言模型为文本生成具有语义信息的词向量,为了实现知识增强的效果,使用遮蔽注意力的方式将知识图谱的语义信息融入词向量中,然后使用基于距离注意力和条件随机场的序列标注方法提取方面和意见项,最后再将提取的方面和意见项两两匹配预测对应关系。为了加强方面和意见项提取模块和匹配模块的联系,采用共享编码层的方式实现联合训练。在训练流程中,匹配模块采用真实标签作为输入,在测试过程中采用提取模块的结果作为输入。为了证明模型的有效性,使用三个通用领域数据集进行对比实验,该模型在方面和意见项匹配任务中F1值分别达到66.99%、75.17%和67.30%,并优于其他比较模型。     

一种基于分段偏最小二乘模型的土壤重金属遥感反演方法

土壤中重金属由于其毒性而成为最有害的环境污染物之一,利用遥感进行土壤重金属检测和分布制图是目前最为高效的手段。采用哨兵二号（Sentinel-2）多光谱影像与实测样品光谱数据,对山西省铜矿峪铜矿尾矿库及其周边农田土壤的铜（Cu）含量进行估算,利用68个土壤样品的反射光谱,优选出适合土壤铜含量预测的波段,结合分段偏最小二乘法（Piecewise Partial Least Squares Regression,P-PLSR）,对土壤铜含量进行估算,将模型用于Sentinel-2影像获得了Cu含量的空间分布。通过P-PLSR对实测样品光谱建模反演Cu含量的决定系数（R²）为0.89,预测偏差比（RPD）为2.82;利用Sentinel-2多光谱影像获得了该区域Cu元素含量空间分布,其Cu含量的估算精度R²为0.74,RPD为1.73,Cu含量高值区空间分布与尾矿库关系密切。Sentinel-2多光谱数据具有高空间分辨率（10、20和60 m）、高时间分辨率和幅宽大（290 km）等优势,通过敏感波段选择并建立反演模型,可实现大范围土壤环境制图。