Life-Cycle Bearing Capacity for Pre-Stressed T-beams Based on Full-Scale Destructive Test

To investigate the evolution of load-bearing characteristics of pre-stressed beams throughout their service life and to provide a basis for accurately assessing the actual working state of damaged pre-stressed concrete T-beams,destructive tests were conducted on full-scale pre-stressed concrete beams.Based on the measurement and ana-lysis of beam deflection,strain,and crack development under various loading levels during the research tests,combined with the verification coefficient indicators specified in the codes,the verification coefficients of bridges at different stages of damage can be examined.The results indicate that the T-beams experience complete,incom-plete linear,and non-linear stages during the destructive test process.In the complete linear elastic stage,both the deflection and bottom strain verification coefficients comply with the specifications,indicating a good structural load-bearing capacity no longer adheres to the code’s requirements.In the non-linear stage,both coefficients exhi-bit a sharp increase,resulting in a further decrease in the structure’s load-bearing capacity.According to the pro-visions of the current code,the beam can be in the incomplete linear stage when both values fall within the code’s specified range.The strain verification coefficient sourced from the compression zone at the bottom of theflange is not recommended for assessing the bridge’s load-bearing capacity.

Uniaxial compression CT and acoustic emission test on the coal crack propagation destruction process

Acoustic emission test and CT scanning are important techniques in the study of coal crack propagation. A uniaxial compression test was performed on coal samples by integrating CT and acoustic emission. The test comparison analyzes the acoustic emission load and CT images for an effective observation on the entire process, from crack propagation to the samples＇ destruction. The box dimension of the coal samples＇ acoustic emission series and the CT images were obtained through calculations by using the authors＇ own program. The results show that the fractal dimension of both the acoustic emission energy and CT image increase rapidly, indicating coal and rock mass has entered a dangerous condition. Hence, measures should be taken to unload the pressure of the coal and rock mass. The test results provide intuitive observation data for the coal meso-damage model. The test contributes to in-depth studies of coal or rock crack propagation mechanisms and provides a theoretical basis for rock burst mechanism.

Optimization of Extraction Process of Zihua Qinghuo Capsule by Orthogonal Test

With quercetin content and yield of dry extract as investigation indices, three factors, amount of water added, decoction time and decoction times were investigated by an orthogonal test, so as to select the optimal water extraction process for Zihua Qinghuo Capsule. The determined extraction process was adding 8 times of water in five herbs including Viola philippica and decocting for 2 times, 1.5 h each time. Pilot scale test demonstrated that the selected process is stable and feasible, and could provide reliable reference for practical production.

Δ<i>I_DDQ</i>Testing of a CMOS Digital-to-Analog Converter Considering Process Variation Effects

In this paper, we present the implementation of a built-in current sensor (BICS) which takes into account the increased background current of defect-free circuits and the effects of process variation on ΔIDDQ testing of CMOS data converters. A 12-bit digital-to-analog converter (DAC) is designed as the circuit under test (CUT). The BICS uses frequency as the output for fault detection in CUT. A fault is detected if it causes the output frequency to deviate more than ±10% from the reference frequency. The output frequencies of the BICS for various (MOSIS) model parameters are simulated to check for the effect of process variation on the frequency deviation. A set of eight faults simulating manufacturing defects in CMOS data converters are injected using fault-injection transistors and tested successfully.

Optimization of Extraction Process of Prunellae Spica Compound by Orthogonal Test

[Objectives] The study aimed to optimize the extraction process of Prunellae Spica compound to provide an experimental basis for the development and utilization of the compound. [Methods]Through orthogonal test,the optimal extraction process of Prunellae Spica compound was chosen by using the yield of dry paste and ursolic acid content as evaluation indicators. [Results]The optimal extraction process of Prunellae Spica compound is as follows: solvent dosage was 16 times,and extraction frequency was 3 times,while extraction time was 1 h.[Conclusions]The extraction process of Prunellae Spica compound was stable and feasible,and this study can provide a theoretical basis for further preparation of the compound.

甘薯杂粮粉品质特征与主要理化性质的Mantel test分析

以不同品种甘薯全粉为原料,复配黄豆粉、芝麻粉制备甘薯杂粮粉,并测定其β-胡萝卜素、玉米黄质、槲皮素含量,利用曼特尔检验(Mantel test)方法探讨这3种天然成分含量与其理化指标之间的相关性,研究甘薯品种对甘薯杂粮粉品质的影响。结果表明:甘薯杂粮粉的抗氧化能力与β-胡萝卜素含量呈强正相关(r=0.80),与玉米黄质含量(r=0.26)和槲皮素含量(r=-0.14)呈现弱相关性。甘薯杂粮粉的干物质含量与β-胡萝卜素含量呈负相关(r=-0.72),与玉米黄质含量(r=0.91)和槲皮素含量(r=1.00)呈强正相关。总体表明β-胡萝卜素是甘薯杂粮粉中有效的抗氧化成分。

Lognormal Process Software Reliability Modeling with Testing-Effort

We propose a software reliability growth model with testing-effort based on a continuous-state space stochastic process, such as a lognormal process, and conduct its goodness-of-fit evaluation. We also discuss a parameter estimation method of our model. Then, we derive several software reliability assessment measures by the probability distribution of its solution process, and compare our model with existing continuous-state space software reliability growth models in terms of the mean square error and the Akaike’s information criterion by using actual fault count data.

Kolmogorov-Smirnov APF Test for Inhomogeneous Poisson Processes with Shift Parameter

In this article, we study the Kolmogorov-Smirnov type goodness-of-fit test for the inhomogeneous Poisson process with the unknown translation parameter as multidimensional parameter. The basic hypothesis and the alternative are composite and carry to the intensity measure of inhomogeneous Poisson process and the intensity function is regular. For this model of shift parameter, we propose test which is asymptotically partially distribution free and consistent. We show that under null hypothesis the limit distribution of this statistic does not depend on unknown parameter.

A Recursive Method of Time-Frequency Analysis for the Signal Processing of Flutter Test with Progression Variable Speed

Focused on the non-statlonarity and real-time analysis of signal in flutter test with progression variable speed （FTPVS）, a new method of recursive time-frequency analysis is presented. The time-varying system is tracked on-line by building a time-varying parameter model, and then the relevant parameter spectrum can be obtained. The feasibility and advantages of the method are examined by digital simulation. The results of FTPVS at low-speed wind-tunnel promise the engineering application perspective of the method.

Software Reliability Growth Model for Imperfect Debugging Process Considering Testing-Effort and Testing Coverage

Because of the inevitable debugging lag,imperfect debugging process is used to replace perfect debugging process in the analysis of software reliability growth model.Considering neither testing-effort nor testing coverage can describe software reliability for imperfect debugging completely,by hybridizing testing-effort with testing coverage under imperfect debugging,this paper proposes a new model named GMW-LO-ID.Under the assumption that the number of faults is proportional to the current number of detected faults,this model combines generalized modified Weibull(GMW)testing-effort function with logistic(LO)testing coverage function,and inherits GMW's amazing flexibility and LO's high fitting precision.Furthermore,the fitting accuracy and predictive power are verified by two series of experiments and we can draw a conclusion that our model fits the actual failure data better and predicts the software future behavior better than other ten traditional models,which only consider one or two points of testing-effort,testing coverage and imperfect debugging.

基于LMS Test.Lab的振动试验中断处理方法研究

当前产品振动试验中断处理方法主要依据GJB 150A和MIL-STD-810G标准,但是该标准只涉及一般性处理要求,缺乏具体的处理细节和注意事项,导致实用性降低。因此,本文针对基于LMS Test.Lab的电动振动试验系统,详细研究了振动试验中典型的中断处理方法。首先分析了LMS振动控制采集分析软件和振动台系统的组成和工作原理,然后归纳总结了振动试验常见的中断原因和通用处理方法,最后从软件异常、硬件故障和人因中断等三方面分析研究了振动试验中断处理方法,有助于指导设计和试验人员快速有效处理振动试验中断问题,缩短停机时间,降低试验风险,同时为军民产品振动环境与可靠性试验大纲制定提供了参考。

基于BLOCKCYCLE Test路谱的汽车控制臂衬套疲劳试验数据处理

利用路谱提取载荷谱,用于控制臂衬套的台架试验。通过采用测试软件数据处理的方法,对复杂的路谱进行编辑、雨流计数及损伤评估等方法以获得适合简单台架的试验条件,从而完成高性价比的控制臂衬套疲劳试验。

Testing Forms in Web Applications Automatically

Forms enhance both the dynamic and interactive abilities of Web applications and the system complexity. And it is especially important to test forms completely and thoroughly. Therefore, this paper discusses how to carry out the form testing by different methods in the related testing phases. Namely, at first, automatically abstracting forms in the Web pages by parsing the HTML documents; then, ohtai ning the testing data with a certain strategies, such as by requirement specifications, by mining users＇ hefore input informarion or by recording meehanism; and next executing the testing actions automatically due to the well formed test cases; finally, a case study is given to illustrate the convenient and effective of these methods.

基于Test on Demand平台的弹上电缆自动测试系统的研制与设计实现

弹上电缆,作为导弹设备进行信号、能量传输的重要载体,质量是否符合要求,直接决定了设备的可靠性。与传统电缆不同,弹上电缆,具备多芯、多头、大规模等特点。传统的测试设备往往存在线缆支持规模较小、测试针对性太强、扩展性差、自动化程度低等缺点,本文提出了基于Test On Demand平台的弹上电缆测技术,阐述了测试原理和测试流程设计,使用该技术完成了对最多达300芯弹上电缆的导通、绝缘、耐压测试,可扩展多种型号电缆,具备通用性、扩展性强、测试速度快、自动化程度高、智能化等特点。

基于LabVIEW与TestStand的关键设备自动测试系统

为减少关键设备在运行状态下发生故障可能造成的严重损失、实现其在投入运行前完成各项功能指标的检测,研制了基于图形化编程语言LabVIEW与测试流程管理软件TestStand的关键设备自动测试系统。该测试系统完成了硬件平台的搭建以及软件程序设计,可对关键设备进行自动测试,具有可靠性高、维护性强、操作简易、测试结果自动存储等特点,显著提高了关键设备的测试效率与测试质量。

PHSICAL MODELLING AND PROCESSING OF Ti-6Al-4V ELI

Titanium has been widely used as the implant materials of joint prostheses. This paper simulates the microstructures of the hot forged titanium knee joint component by physical modeling. Ti-6Al-4V ELI were deformed by GLEEBLE 2000 hot deforma- tion simulator in compression mode to determine the hot workability, in the range of 900 to 1100℃, with the strain rates between 0.05 to 5 s^(-1). Test results derived from specimens processed by on-cooling test and on-heating test were compared, thereby estimating the effect due to thermal history. The forging process of Ti-6Al-4V ELI tibial base plate of knee joint prostheses was design based on the workability data obtained.

基于LMS.Test.Lab的快走丝机床振动测试与分析

为了获得全面的振动特性参数，应用LMS． Test． Lab振动测试系统对典型的快走丝线切割机床DK7735进行试验。分析试验结果可以看出： DK7735丝架在266～288 Hz、347～397 Hz、875～943 Hz频率段内的模态振型对加工质量影响最大，因此应避免机床在运行过程中产生的振动激励落在该范围内；机床下臂前段的阻尼比为0．30左右，结构抗振能力较差，应对此处进行结构优化； DK7735的第1、2阶固有频率集中在160、285 Hz附近，从第3阶开始固有频率的分布就比较分散。

Fabrication of AA7005/TiB2-B4C surface composite by friction stir processing: Evaluation of ballistic behaviour

The present work aims to enhance the ballistic resistance of AA7005 alloy by incorporating the TiB2 and B4C ceramic reinforcement particles. Surface composites with different weight fractions of TiB2 and B4C particles were processed by friction stir processing. Micro-hardness and depth of penetration tests were carried out to evaluate the ballistic properties of the surface composites. The surface hardness of the composite was found to be nearly 70 HV higher than base alloy. The depth of penetration of the steel projectile was 20e26mm in the composites as compared to 37mm in the base alloy. Ballistic mass efficiency factor of the surface composite was found to be 1.6 times higher than base alloy. This is mainly attributed to the dispersion strengthening from the reinforcement particles.

Big Data Testing Techniques:Taxonomy,Challenges and Future Trends

Big Data is reforming many industrial domains by providing decision support through analyzing large data volumes.Big Data testing aims to ensure that Big Data systems run smoothly and error-free while maintaining the performance and quality of data.However,because of the diversity and complexity of data,testing Big Data is challenging.Though numerous research efforts deal with Big Data testing,a comprehensive review to address testing techniques and challenges of BigData is not available as yet.Therefore,we have systematically reviewed the Big Data testing techniques’evidence occurring in the period 2010–2021.This paper discusses testing data processing by highlighting the techniques used in every processing phase.Furthermore,we discuss the challenges and future directions.Our findings show that diverse functional,non-functional and combined(functional and non-functional)testing techniques have been used to solve specific problems related to Big Data.At the same time,most of the testing challenges have been faced during the MapReduce validation phase.In addition,the combinatorial testing technique is one of the most applied techniques in combination with other techniques(i.e.,random testing,mutation testing,input space partitioning and equivalence testing)to find various functional faults through Big Data testing.

Random testing for system-level functional verification of system-on-chip

In order to deal with the limitations during the register transfer level verification, a new functional verification method based on the random testing for the system-level of system-on-chip is proposed.The validity of this method is proven theoretically.Specifically, testcases are generated according to many approaches of randomization.Moreover, the testbench for the system-level verification according to the proposed method is designed by using advanced modeling language.Therefore, under the circumstances that the testbench generates testcases quickly, the hardware/software co-simulation and co-verification can be implemented and the hardware/software partitioning planning can be evaluated easily.The comparison method is put to use in the evaluation approach of the testing validity.The evaluation result indicates that the efficiency of the partition testing is better than that of the random testing only when one or more subdomains are covered over with the area of errors, although the efficiency of the random testing is generally better than that of the partition testing.The experimental result indicates that this method has a good performance in the functional coverage and the cost of testing and can discover the functional errors as soon as possible.