Bolted flange joints equipped with FBG sensors in industrial piping systems subjected to seismic loads

The vulnerability of major-hazard industrial plants to natural hazards has been recognized as an emergent issue whose importance is underlined by the Sendai Framework, established immediately after the Tohoku earthquake of 2011, in Japan. Hence, seismic risk analysis is of paramount importance as testified by the intense research activity that characterized the last years. In this respect, structural health monitoring can represent a valuable tool able to strongly help the decision-making phase. Along this main vein, optical fibers (OFs) represent a class of sensors able to both monitor critical conditions, as leakage of hazardous material, and activate safety barriers, if any. More precisely, optical fibers represent an economic solution, whose characteristics appear particularly suitable for dangerous environments like major-hazard plants. However, investigations relevant to their use for seismic monitoring of chemical/petrochemical plants are rather limited, especially when subject to strong dynamic excitations. As a result, this paper deals with the analysis of optical fiber Bragg gratings (FBGs) applied to bolted flange joints (BFJ) under cyclic loadings. More precisely, two experimental programs, i.e., a cyclic test on a single BFJ and a series of shaking table tests on BFJs of a multicomponent system, demonstrated the effectiveness of the proposed monitoring systems in detecting hazardous conditions and, thus, their potential use in conjunction with safety barriers.     

基于改进的YOLOv4安全帽佩戴检测研究

为了加强建筑工人佩戴安全帽情况的检测,防止安全事故的发生,提出1种改进的轻量级YOLOv4安全帽佩戴检测算法,用于运行在移动设备端,降低现场部署的条件;制作1个8 000幅图像的数据集,用于训练和评估安全帽检测算法;为了评估改进的YOLOv4的性能,从5个不同建筑工地采集到600张施工人员图像和60条施工视频作为验证集;根据建筑工地不同的视觉条件对图像进行分类,用于验证本文算法在不同外界环境下的性能。结果表明:改进后的模型检测速度是YOLOv4的3.4倍,可用于实时检测施工人员在不同施工现场条件下是否佩戴安全帽的情况,有利于提高安全检查和监督水平。     

Influence of driving cycles on exhaust emissions and fuel consumption of gasoline passenger car in Bangkok

The influence of different driving cycles on their exhaust emissions and fuel consumption rate of gasoline passenger car was investigated in Bangkok based on the actual measurements obtained from a test vehicle driving on a standard chassis dynamometer. A newly established Bangkok driving cycle (BDC) and the European driving cycle (EDC) which is presently adopted as the legislative cycle for testing automobiles registered in Thailand were used. The newly developed BDC is constructed using the driving characteristic data obtained from the real on-road driving tests along selected traffic routes. A method for selecting appropriate road routes for real driving tests is also introduced. Variations of keyed driving parameters of BDC with different driving cycles were discussed. The results showed that the HC and CO emission factors of BDC are almost two and four times greater than those of EDC, respectively. Although the difference in the NOx emission factor is small, the value from BDC is still greater than that of EDC by 10%. Under BDC, the test vehicle consumes fuel about 25% more than it does under EDC. All these differences are mainly attributed to the greater proportion of idle periods and higher fluctuations of vehicle speed in the BDC cycle. This result indicated that the exhausted emissions and fuel consumption of vehicles obtained from tests under the legislative modal-type driving cycle (EDC) are significantly different from those actually produced under real traffic conditions especially during peak periods.     

Optimization of gasoline hydrocarbon compositions for reducing exhaust emissions

Effects of hydrocarbon compositions on raw exhaust emissions and combustion processes were studied on an engine test bench. The optimization of gasoline hydrocarbon composition was discussed. As olefins content increased from 10.0% to 25.0% in volume, the combustion duration was shortened by about 2 degree crank angle ( CA), and the engine-out THC emission was reduced by about 15%. On the other hand, as aromatics content changed from 35.0% to 45.0%, the engine-out NOx emissions increased by 4%. An increment in olefins content resulted in a slight increase in engine-out CO emission, while the aromatics content had little e ect on engine-out total hydrocarbon (THC) and CO emissions. Over the new European driving cycle (NEDC), the THC, NOx and CO emissions of fuel with 25.0% olefins and 35.0% aromatics were about 45%, 21% and 19% lower than those of fuel with 10.0% olefins and 40.0% aromatics, respectively. The optimized gasoline compositions for new engines and new vehicles have low aromatics and high olefins contents.     

金鱼组织中壬基酚的含量检测新方法探讨

建立一种直接检测环境中痕量壬基酚的外切酶保护-荧光定量PCR方法。首先向含雌激素受体及相关蛋白的细胞溶质中加入壬基酚-丙酮溶液,使受体蛋白活化,从而在体外与含雌激素反应位点的双链结合DNA作用形成壬基酚-雌激素受体-DNA复合物。复合物用核酸外切酶和S1核酸酶消解,去除未受到蛋白质保护的结合DNA。将消解后产物作为模板,进行荧光定量PCR扩增反应,建立壬基酚浓度与标准DNA拷贝数的对数之间的线性关系为：y（壬基酚浓度的对数）=1.637x（标准DNA拷贝数的对数）-9.505。该法检出限为10^-8g/L,用该法对金鱼肝脏组织中壬基酚进行检测,添加回收率水平在98.5%112.2%,变异系数在4.3%以下。     

一种土壤氡浓度测量方法的改进

通过对CDI-2000土壤测氡仪的排气方式和测量周期的分析,建立了新的测量方法。既充分利用了CDI-2000自动换片、自动抽气的优点,又在不影响测量精度的情况下提高了工作效率,节约了工作成本。     

上海世博规划区交通干道污染物对流扩散研究

采用计算流体动力学(CFD)技术,对不同来流风速大小、风向条件下的上海世博规划区内四条主要交通干道上的交通污染物对流扩散进行了三维数值仿真。获得了不同工况下交通污染物浓度的空间分布。通过数值仿真结果分析,探明了交通干道上的机动车尾气排放对世博规划区内空气质量的影响(各工况下世博规划区内的CO最大浓度为0.25～0.59mg/m3;东南、东北和南风向下规划区内的NO2最大浓度分别为0.037mg/m3、0.03mg/m3和0.03mg/m3,而北风和西风下规划区建筑群内NO2最大浓度分别为0.068mg/m3和0.12mg/m)3,并揭示出应该重视靠近交通干道的建筑物附近的空气质量改善,特别是要重视靠近卢浦大桥两侧的建筑群周围空气质量改善(卢浦大桥两侧的建筑群周围NO2最大浓度已稍大于《环境空气质量标准》规定的一级标准浓度限值)。     

高温水萃取在食品安全快速检测中的应用研究

采用高温水萃取方法对食品中农药残留、甲醛、亚硝酸盐、抗生素等成分进行快速萃取,结合分光光度法、液相色谱等分析方法进行了上述成分的快速检测研究。结果表明,蔬菜中甲胺磷的萃取条件为pH=8.0的磷酸缓冲溶液、萃取温度120℃、萃取时间2～3min;腐竹中甲醛的萃取条件为0.1mLH3PO4溶液/10mL、萃取温度120℃、萃取时间5min;肉制品中亚硝酸盐的萃取条件为5mL硼砂饱和溶液/10mL、萃取温度120℃、萃取时间5min;饲料中四环素的萃取条件为pH=2.0的盐酸溶液、萃取温度100℃、萃取时间4min。与现有的蒸馏、振荡萃取、超声萃取等预处理方法比较,高温水萃取法具有萃取效率高、精密度好、快速、简便和不使用有机溶剂的优点,可以满足实际样品快速检测的需要。     

中国大陆地震检测能力的新进展

被普遍记录的最小震级是表征地震检测能力的重要标志。基于地震频度-震级关系统计了地震观测系统的检测率。引进了相应于70.7%检测率的系统震级下限参量Mr以定量表征地震实际观测能力。以1970-2009年40年来中国大陆地区的地震观测目录为基础数据,分三个时间段客观统计了地震台网的观测水平,展示了中国大陆地震检测能力的地理分布。     

ICP-AES法测定茶汤中重金属的方法研究

为有效测定茶汤中有害重金属元素,文章采用电感耦合等离子体发射光谱(ICP-AES)法,测定了茶汤中的Cu,Fe,Mn,Zn,Cr,Cd等重金属元素含量。在回收试验中,铜的平均回收率为101%,镉的平均回收率为95.4%,锰的平均回收率为118%,镍的平均回收率为87.4%,铁的平均回收率为118%。实验结果表明:该方法快速简单,有助于推广和应用。