软件单元测试应用研究及案例分析

单元测试是软件测试过程的第一站,高质量的单元测试是软件质量保证的必要条件,本文就单元测试的概念、测试类型及规程作了简单的阐述,同时就单元测试进行了案例分析。     

基于大湾区外环的柔性直流互联方案

面对日益严峻的短路电流超标、交直流交互影响、第三道防线难以有效设置等问题,广东等多直流馈入受端电网分区构网需求迫切。为协调分区与系统稳定、网架可靠性等方面的矛盾,支撑区内电力消费增长和大规模清洁能源接入,提出了建设大湾区外环的设想,并对广东电网大湾区外环覆盖范围、分区划分和外环容量选择等关键问题进行了具体论证,形成了基于大湾区外环的柔性直流互联构网方案。经仿真分析,该方案符合安全标准,可提升广东电网容量至预期水平且有效应对了短路电流超标、交直流交互影响突出、第三道防线难以有效设置等问题。     

Synergistic effects of organically modified montmorillonite in combination with metal oxides on the fire safety enhancement of intumescent flame-retarded epoxy resins

Synergistic effects of organically modified montmorillonite (OMMT) in combination with different metal oxides (Bi₂O₃, Sb₂O₃, and MoO₃) on the fire safety enhancement of the intumescent flame-retarded epoxy resins (EPs) were systematically evaluated. The results from X-ray diffraction (XRD) and scanning electron microscopy (SEM) analyses show that the OMMT and metal oxides acquire a uniform distribution in the EP matrix, and OMMT platelets exhibit a fully exfoliated state. The flammability and thermogravimetry (TG) tests show that the intumescent flame retardant (IFR)-OMMT-metal oxide ternary system can endow EPs with the higher synergistic efficiencies on the enhancement of flame retardancy, smoke suppression properties, and charring ability compared to those of IFR or IFR-OMMT system, and the synergistic efficiency is the following order: IFR/OMMT/Sb₂O₃ > IFR/OMMT/MoO₃ > IFR/OMMT/Bi₂O₃. In particular, the sample, filled with 1.5 wt% OMMT, 1.5 wt% Sb₂O₃, and 27 wt% IFR, passes the UL94 V-0 rating and acquires the highest limiting oxygen index value of 28.5% among the samples. The IFR-OMMT-metal oxide ternary system exerts a better synergistic effect on the generation of crosslinking and aromatic structures that supply the excellent charring effect and barrier effect for the EPs, and the synergistic efficiency of IFR-OMMT-metal oxide ternary system is varied with the types of metal oxides.     

Synthesis and xylene isomers adsorption of silicalite-1 crystals with intracrystalline mesopores aided by 3-glycidoxypropyl-trimethoxysilane and polyethene glycol

Journal of Porous Materials - Well-defined silicalite-1 crystals with intracrystalline mesopores were successfully synthesized in the presence of 3-glycidoxypropyl-trimethoxysilane (GPTMS) and...     

基于GM(1,1)的应力损伤轻骨料混凝土抗冻性评估

对灾变后轻骨料混凝土抗冻融性能评估的关键在于对其在特定灾变程度下抗冻融性能的精确定量描述及预测。通过反复加载对轻骨料混凝土预加初始应力损伤来模拟灾变,以相对动弹性模量为评价指标,研究初始损伤度分别为0、0.05、0.12、0.19、0.27的轻骨料混凝土抗冻融性能;将灰色系统理论引入混凝土抗冻耐久性研究中,利用相对动弹性模量实测数据建立基于GM(1,1)的应力损伤轻骨料混凝土抗冻融性能预测模型,与修正的Loland混凝土损伤模型对比并进行精度分析;借助建立的GM(1,1)预测模型定量研究初始应力损伤对轻骨料混凝土抗冻耐久性的影响并预测其抗冻耐久寿命。结果表明：初始应力损伤会加速轻骨料混凝土抗冻融性能劣化,且初始损伤度越大劣化速率越快;各初始损伤度下GM(1,1)模型的平均相对误差均小于4.5%,GM(1,1)模型的预测精度整体上优于修正Loland模型;轻骨料混凝土自身具有良好的抗冻融性能,在内蒙古中西部地区抗冻耐久寿命可达45年,当初始损伤度为0.05、0.12、0.19、0.27时,抗冻耐久寿命分别缩短至30年、25年、17.5年、10年。基于GM(1,1)的应力损伤轻骨料混凝土抗冻融性能预测模型可实现对灾变后轻骨料混凝土全寿命周期内抗冻融性能较为精确的定量评估,为指导北方寒旱区轻骨料混凝土工程实践提供理论依据。     

金属大气腐蚀实验技术进展

综述了金属大气腐蚀的实验方法和分析手段及各种方 法的优缺点，探讨了金属大气腐蚀研究的发展趋势.     

CMS环境下基于智能优化算法的单元间布局问题研究*

研究了单元制造系统(CMS)设计中单元间布局设计问题,从单元制造系统的实际出发,提出了一种基于割树(Slicing-tree)的单元间布局设计模型.该模型考虑了单元形状约束、单元I/O点位置优化等诸因素对布局结果的影响.针对基于割树的描述形式,采用遗传算法求解,提出了一种新的割树编码方案,克服了以往编码方案易产生非法子串、不能覆盖整个解空间以及实现困难等缺点.计算结果表明,该算法是有效的、可行的.     

Barley leaves mediated biosynthesis of Au nanomaterials as a potential contrast agent for computed tomography imaging

Science China Technological Sciences - Over the past few years, environment-friendly green synthetic methods for metal nanoparticles (NPs) have received considerable attention. The use of plant...     

3D Prussian blue/Pt decorated carbon nanofibers based screen-printed microchips for the ultrasensitive hydroquinone biosensing

Nowadays,water pollution has become more serious,greatly affecting human life and healthy.Electrochemical biosensor,a novel and rapid detection technique,plays an important role in the real-time and trace detection of water pollutants.However,the stability and sensitivity of electrochemical biosensors remain a great challenge for practical detections in real samples to the strong interferences derived from complex components and coagulation effects.In this work,we reported a novel three-dimensional architecture of Prussian blue nanoparticles (PBNPs)/ Pt nanoparticles (PtNPs) composite film,using 3D interweaved carbon nanofibers as a supporting matrix,for the construction of screen-printed microchips-based biosensor.PtNPs with diameters of～2.5 nm was highly dispersed on the carbon nanofibers (CNFs) to build a 3D skeleton nanostructure through a solvothermal reduction.Subsequently,uniform PBNPs were in-situ self-assembled on this skeleton to construct a 3D architecture of PB/Pt-CNF composite film.Due to the synergistic effects derived from this special feature,the as-prepared hydro-quinone (HQ) biosensor chips can synchronously promote both surface area and conductivity to greatly enhance the electrocatalysis from enzymatic reaction.This biosensor has exhibited a high sensitivity of 220.28 μA·L·mmol-1·cm-2 with an ultrawide linear range from 2.5μmol·L-1 to 1.45 mmol·L-1 at a low potential of 0.15 V,as well as the satisfactory reproducibility and usage stability.Besides,its accuracy was also verified in the assays of real water samples.It is highly expected that the 3D PB/Pt-CNF based screen-printed microchips will have wide applications in dynamic monitoring and early warning of ana-lytes in the various practical fields.     

The Effects of Random Porosities in Resonant Frequencies of Graphene Based on the Monte Carlo Stochastic Finite Element Model

With the distinguished properties in electronics, thermal conductivity, optical transparence and mechanics, graphene has a powerful potential in nanosensors, nano-resonators, supercapacitors, batteries, etc. The resonant frequency of graphene is an important factor in its application and working environment. However, the random dispersed porosities in graphene evidently change the lattice structure and destroy the integrity and geometrical periodicity. This paper focuses on the effects of random porosities in resonant frequencies of graphene. Monte Carlo simulation is applied to propagate the porosities in the finite element model of pristine graphene. The statistical results and probability density distribution of porous graphene with atomic vacancy defects are computed based on the Monte Carlo finite element model. The results of porous graphene with atomic vacancy defects are compared and discussed with the results of graphene with bond vacancy defects. The enhancement effects of atomic vacancy defects are confirmed in porous graphene. The influences of atomic vacancy defects on displacement and rotation vector sums of porous graphene are more concentrated in local places.