盾构机密封系统水压加载检测装置的研制

密封系统的密封性、可靠性等技术指标是决定盾构机水下隧道掘进能力的根本条件.规划中的琼州海峡、台湾海峡、白令海峡等水下隧道要求的密封压力值超过1.7MPa、掘进距离超过10km,远超现有的技术标准.因此需要根据隧道工程技术要求研制出具备一定冗余扩展能力的水压加载检测装置.该加载装置能够仿制盾构机在水下施工所处的工作环境,通过水压加载、气垫控制、着色检验等方式检测换刀装置、主驱动、盾尾等主要核心部件的密封性、可靠性等技术指标.此设备提供的实验结果能够为重大隧道工程规划和设备研制提供基础数据支持和实验论证.     

草酸诱导大水沟碲矿溶解机制

随着社会的发展对碲需求量日益增加，低品位大水沟碲矿的开发利用受到了日益关注。利用草酸在常压下对大水沟碲矿进行溶解研究。结果表明，在草酸浓度0.25 mol/L、液固比15︰1、反应时间15 d的条件下，草酸对Fe、Mg、Ca、Al和Si的溶解量分别为662、187、610、686、64 mg/L，而Te富集到滤渣中。各矿相溶解的先后顺序为：白云石>磁黄铁矿>碲铋矿。结合计算模拟草酸与白云石、磁黄铁矿和碲铋矿之间的结合方式和电子转移机制，表明草酸通过其氢原子的酸解作用和氧原子的络合作用吸附于矿物表面，并且其电子从草酸向白云石表面转移，而磁黄铁矿和碲铋矿相反。     

Progressive filling partitioning and mapping algorithm for Spark based on allocation fitness degree

The job execution mechanism of Spark was analyzed,task efficiency model and Shuffle model were established,then allocation fitness degree (AFD) was defined and the optimization goal was put forward.On the basis of the model definition,the progressive filling partitioning and mapping algorithm (PFPM) was proposed.PFPM established the data distribution scheme adapting Reducers’ computing ability to decrease synchronous latency during Shuffle process and increase cluster the computing efficiency.The experiments demonstrate that PFPM could improve the rationality of workload distribution in Shuffle and optimize the execution efficiency of Spark.     

中国高潜水位沉陷区采煤废弃物复垦农田的土壤特征(英文)

为了研究充填介质对中国东部高潜水位采煤塌陷区复垦土壤特征的影响,对采用煤矸石或粉煤灰作为充填介质形成的复垦土壤化学和微生物指标进行分析。结果表明,充填介质粉煤灰的存在能显著提高复垦土壤中pH值和含水率;在0~10 cm、10~20 cm、20~50 cm土壤层,采用粉煤灰形成的复垦土壤MBC、MBN、MBC/TOC的比率高于采用煤矸石形成的复垦土壤;采用煤矸石作为充填介质形成的复垦土壤中,重金属As和Cr含量、土壤微生物碳氮比、呼吸熵等高于对照土壤和粉煤灰充填形成的复垦土壤;主成分分析表明,充填土壤中重金属含量、土壤微生物量和土壤酶活性能代表大部分复垦土壤特征。     

基桩完整性检测的概率分析及质量动态评估

基于概率理论，对基桩完整性检测的概率分布进行了详细的分析，分析表明抽检结果与总体不合格率和抽检桩数有关，因此建议将总体不合格率作为评价整批桩质量的标准。利用 Bayesian 方法推导出总体不合格率的先验分布服从标准的 Beta 分布，由共轭分布原理得出后验分布也服从 Beta 分布。然后分析了总体不合格率后验分布的期望和方差，得出结论：后验分布的期望是先验分布的期望和当前抽样检测不合格率的加权和；后验分布的方差是当前抽检不合格率及先验分布方差的加权和。通过分析抽检桩数对加权系数和后验分布的期望和方差的影响，结果表明：当抽检桩数小于 10 时，抽检桩数对检测结果有显著影响；当抽检桩数大于 10 时，抽检桩数对抽检结果的影响变小；尤其当抽检桩数大于 20 时，对抽检结果无显著影响。最后利用先验分布的期望和方差与后验分布的期望和方差的关系建立起质量检测的动态评估模型。算例分析表明该动态模型可更准确地估计出总体不合格率，具有较重要的工程实际意义。     

无溶剂遇水膨胀液体橡胶止水带的研制

采用聚醚多元醇、甲苯二异氰酸酯(TDI)、3,3＇-二氯-4,4’-二氨基二苯基甲烷(MOCA)等制备了无溶剂遇水膨胀液体橡胶止水带,利用邻苯二甲酸二丁酯(DBP)代替有机溶剂使用避免了溶剂的挥发,实验表明,止水带最佳的配比为:m(聚醚D2802)∶m(S505)=1∶4,DBP用量为15％,填料用量为15％,经2年的施工应用未出现漏水现象.     

数控转塔冲床送料加速度的智能调节技术探讨

随着智能制造时代的到来,客户对数控转塔冲床的效率要求越来越高,而提高送料的加速度和最大速度是最好的方式。一般常见冲床的加速度均为固定不变的,导致机床在运行过程中无法完全发挥其应有的特性。本文通过循序渐进的方式对加速度的智能调节技术进行了分析研究。     

基于改进CAF-WAS的绑定前硅通孔测试

硅通孔TSV发生开路故障和泄漏故障会降低三维集成电路的可靠性和良率,因此对绑定前的TSV测试尤为重要。现有CAF-WAS测试方法对泄漏故障的测试优于其他方法(环形振荡器等),缺点是该方法不能测试开路故障。伪泄漏路径思想的提出,解决了现有CAF-WAS方法不能对开路故障进行测试的问题。另外,重新设计了等待时间产生电路,降低了测试时间开销。HSPICE仿真结果显示,该方法能准确预测开路和泄漏故障的范围,测试时间开销仅为现有同类方法的25%。     

Improved spatial resolution in soil moisture retrieval at arid mining area using apparent thermal inertia

A surface soil moisture model with improved spatial resolution was developed using remotely sensed apparent thermal inertia (ATI). The model integrates the surface temperature derived from TM/ETM+ image and the mean surface temperature from MODIS images to improve the spatial resolution of soil temperature difference based on the heat conduction equation, which is necessary to calculate the ATI. Consequently, the spatial resolution of ATI and SMC can be enhanced from 1 km to 120 m (TM) or 60 m (ETM+). Moreover, the enhanced ATI has a much stronger correlation coefficient (R²) with SMC (0.789) than the surface reflectance (0.108) or the ATI derived only from MODIS images (0.264). Based on the regression statistics of the field SMC measurement and enhanced ATI, a linear regression model with an RMS error of 1.90% was found.     

Driving behavior recognition and prediction based on Bayesian model

Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.