后张法预应力混凝土T梁静载试验

简要叙述了后张法T梁静载试验的方法，步骤，并通过一元线性回归分析对试验结果进行了验证。     

静电场中电势参考点的选择

要确定静电场中任一点的电势 ,必须先选择参考点 .文章讨论了静电场中关于电势参考点选择的若干问题 ,并阐明了电势参考点的选择理由及条件     

地桩沉降量单片机智能检测系统的研究

论述了以８０３１为控制核心的地桩沉降量检测系统的工作原理、系统组成。重点介绍了主要硬件电路的设计特点及软件设计思想，提供了部分硬件电路图及控制软件流程图。该系统具有自检、置数、动态显示、数据处理、打印等功能，使用方便，造价低     

复线电气化区段施工感应电对人体的危害及防护对策

感应电会对人体造成伤害。从电磁感应和静电感应原理入手，分析了产生感应电的过程，并就如何防止感应电的危害提出了防护对策，有一定实用价值。     

吸附树脂对对甲苯胺的静态吸附行为及其热力学性质的研究

对比 Amberlite XAD-4与两种新型吸附树脂 NK和新 H对对甲苯胺的静态吸附行为 ,根据吸附等温线研究并讨论吸附热力学性质 .两种新型吸附树脂对对甲苯胺的吸附能力明显强于 Amberlite XAD-4 ,微孔作用机制及表面部分极性起决定作用 .吸附焓变 ΔH<0表明吸附为放热过程 ,降低温度有利于吸附 .对吸附焓变和自由能变的讨论同时表明树脂对对甲苯胺的吸附为多层物理吸附过程 .吸附熵变 ΔS表明吸附树脂表面的不均匀性和吸附质分子在树脂表面的分布及其局域运动与吸附有密切关系 .     

Java字节代码程序的部分计值

为了有效地构造一个Java部分计值器，并且形式化地描述计值规则，提出了Java字节代码程序的静态语义，在此基础上构造了一个online的Java部分计值器，为今后能够建立一个完善而且实用的计值器提供了基础。     

复合支护结构核爆冲击波等效静载的不确定性分析

根据中值点处展开的一次二阶矩法讨论了土中压缩波的升压时间及其不确定性，然后研究了按单自由度体系进行复合支护地下结构抗核爆设计时的动力系数（荷载系数）和等效静载的变异系数．数值结果表明，土中压缩波升压时间的不确定性，不仅与结构埋深和土参数的变异性有关，而且与土参数的均值有关，等效静载的不确定性，依赖于作用于结构上的动载变异性和结构自振频率变异性，而动载不确定性对等效静载变异性影响最大     

自级联式感应电动机控制系统的研制

描述了自级联式感应电动机的数学模型及其控制系统的结构,研制成功该类电机矢量控制系统样机.根据实验结果,分析了其动态和静态品质,得出此种类型电机控制系统完全可以达到与直流电动机控制系统相同性能的结论,提出了自级联式感应电动机进一步的应用前景.     

Ab initio study of the effects of Ag/Mn doping on the electronic structure of LiFePO_4

Based on density functional theory (DFT) of the first-principle for the cathode materials of lithium ion battery, the electronic structures of Li(Fe1-xMex)PO4 (Me = Ag/Mn, x = 0―0.40) are calculated by plane wave pseudo-potential method using Cambridge serial total energy package (CASTEP) program. The calculated results show that the Fermi level of mixed atoms Fe1-xAgx moves into its conduction bands (CBs) due to the Ag doping. The Li(Fe1-xAgx)PO4 system displays the periodic direct semiconductor characteristic with the increase of Ag-doped concentration. However, for Fe1-xMnx mixed atoms, the Fermi level is pined at the bottom of conduction bands (CBs), which is ascribed to the interaction be-tween Mn(3d) electrons and Fe(4s) electrons. The intensity of the partial density of states (PDOS) near the bottom of CBs becomes stronger with the increase of Mn-doped concentration. The Fermi energy of the Li(Fe1-xMnx)PO4 reaches maximum at x = 0.25, which is consistent with the experimental value of x = 0.20. The whole conduction property of Mn-doped LiFePO4 is superior to that of Ag-doped LiFePO4 cathode material, but the structural stability is reverse.     

Preface

Different from traditional tax audit, supervision with self-audit is a combination of audit by the taxpayer himself and audit by the tax authority. This paper mainly studies a taxpayer’s optimal policy of tax evasion under supervision with self-audit and its related properties, in order to deduce some effective suggestions and theoretical bases to restrain tax evasion. Assuming that only a certain proportion of evaded tax can be discovered when the audit is executed, the authors first formulate a static model with self-audit. This model is divided into two stages. At the first stage, taxpayers declare their taxes, then the tax authority chooses audit objects, based on a known probability, and announces the result; if the taxpayer is chosen, he will enter the second stage, during which he has a chance to pay the evaded tax and the corresponding late fees and then is audited by the tax authority. The authors show the existence and uniqueness of the optimal amount of tax evasion at the first stage and the optimal proportion to self-expose at the second stage. The authors also discuss the related properties of the interior solution, and do elasticity analyses on some parameters. Besides, the authors extend the static model into the corresponding two-period model, and study the existence and uniqueness of the solution of the extended model. Finally, under the assumption that tax evasion can only be discovered with a certain probability when the audit is executed, the authors formulate another static model with self-audit and investigate its properties. This research is partially supported by the National Natural Science Foundation of China under Grant Nos. 60674082, 70221001, and 70731003.