T形柱正反向受剪承载力和变形能力特性研究

由于T形柱特殊的截面形式,正反向受剪时将分别处于腹板受压、翼缘受拉和腹板受拉、翼缘受压两种状态,故其正反向受剪承载力和变形能力与十字形柱相比差异较大。通过对国内T形柱受剪承载力试验进行分析,探讨了T形截面柱正反向受剪承载力特性,并对某一T形柱进行低周反复荷载试验,分析了低剪跨比状态下T形柱正反向加载破坏特征、承载能力和变形能力特性。研究表明,T形柱截面不规则,当狭义剪跨比小于3.0时,正反两个方向受剪承载能力和变形能力存在显著差异,两个方向的抗震性能亦存在差异,腹板受压时,柱脚腹板混凝土破坏严重,降低了异形柱的截面刚度和承载力,成为异形柱结构的薄弱部位。     

混凝土输送泵的选择

在水利工程混凝土施工中,施工单位经常用到混凝土输送泵。而在施工当中,往往输送泵用什么型号、功率为多大比较经济适用是每个施工单位必须考虑的事情。文中根据在哈达山水利枢纽输水工程施工中的经验,简要介绍混凝土输送泵的型号,论述了其主要参数及电动机功率的选择方法。     

堤坝洪水推求及泄流能力复核分析

重庆某堤坝运行多年,由于水文资料等条件发生了一定变化,且现有的设计标准较原来有所提高,因此,有必要对堤坝在现有洪水及设计标准下的泄流能力进行复核。根据坝址附近的雨量资料,运用推理公式法及综合瞬时单位线法推求了坝址处各频率下的洪水过程,并对堤坝的泄流能力进行了复核分析,结果表明,堤坝的泄流能力满足设计要求。     

滦河流域水资源承载力研究

针对滦河流域水资源承载力问题,明确相关概念,介绍了水资源承载力的计算方法及过程,经分析得出滦河流域水资源承载力将会出现轻度超载现象,指出应采取开源节流的对策,提高水资源的承载能力,促进流域水资源可持续利用.     

基于自平衡试桩法的灌注桩承载力检测应用研究

探讨采用自平衡试桩法对承载大吨位、大直径、超长的灌注桩进行单桩竖向承载力检测的可行性.以南水北调中线工程磁县段二标滏阳河渡槽3号墩台8号灌注桩的单桩承载力检测为例,结合相关规范规程与自平衡测桩法检测原理,根据读数绘出向上向下的Q-s曲线及相应的s-lgt、s-logQ曲线,分别求得荷载箱上段桩及下段桩的极限承载力,将上...     

采用2D-SMPC码的S-OCDMA系统性能分析

在同步修正素数码（SMPC）基础上,通过给每个不同的种子分配一个不同的波长片,构造了二维正交地址码（2D-SMPC）;分析了码字的相关特性,确定了地址码选取原则;通过Optisystem仿真,研究了该码的多址干扰（MAI）和系统容量等性能。与一维SMPC码性能相比较,验证了其用于S-OCDMA系统时的性能改善。     

直流变频执行机构承载能力设计

直流变频电动执行机构主要是控制系统采用的控制器集成BLDC电机驱动,具有智能变频型电动执行器所有功能要求,配合直流无刷电机适用于各种类型的场合,作为工业控制的核心单元,被广泛应用在各行业工业控制单元。执行机构所用蜗杆传动用于交错轴间运动及动力。本论文根据在相同条件下讨论三种蜗杆传动设计和校核,来验证采用不同的加工方法。以达到提高其承载能力的目的[1][3]。     

体导电信道分析与研究

为了降低植入器件的功耗和有效控制植入器件,提高通信效率,提出了一种基于体导电的低功耗数字通信模型。当体导电流的工作频率在kHz级,生物背景信号干扰是微不足道的,体导电信道可近似为加性高斯白噪声信道。从香农信息论出发,推导出二维凋制下的信道容量公式,从而得到推论：在极低信噪比时采用两电平调制就能相当有效地利用信道容量,在高信噪比时,为了充分利用信道容量必须采用多电平调制。利用SystemView对信道进行仿真,证明体导电数字通信的可行性,并得出采取调制方式的必要性,以及误码率和信噪比的关系。     

The relationship between learning styles and cognitive traits – Getting additional information for improving student modelling

Student modelling is an important process for adaptive virtual learning environments. Student models include a range of information about the learners such as their domain competence, learning style or cognitive traits. To be able to adapt to the learners’ needs in an appropriate way, a reliable student model is necessary, but getting enough information about a learner is quite challenging. Therefore, mechanisms are needed to support the detection process of the required information. In this paper, we investigate the relationship between learning styles, in particular, those pertaining to the Felder–Silverman learning style model and working memory capacity, one of the cognitive traits included in the cognitive trait model. The identified relationship is derived from links between learning styles, cognitive styles, and working memory capacity which are based on studies from the literature. As a result, we demonstrate that learners with high working memory capacity tend to prefer a reflective, intuitive, and sequential learning style whereas learners with low working memory capacity tend to prefer an active, sensing, visual, and global learning style. This interaction can be used to improve the student model. Systems which are able to detect either only cognitive traits or only learning styles retrieve additional information through the identified relationship. Otherwise, for systems that already incorporate learning styles and cognitive traits, the interaction can be used to improve the detection process of both by including the additional information of a learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model.