Dynamic Bayesian networks for reliability evaluation of subsea wellhead connector during service life based on Monte Carlo method

The subsea wellhead connector is a critical connection component between subsea Christmas tree and subsea wellhead for preventing the leakage of oil and gas in the subsea production system. Excited by cyclical loadings due to environmental forces and the other support forces, the subsea wellhead connector is prone to the failure, which could lead to the loss of subsea tree or wellhead integrity and even catastrophic accidents. With the Monte Carlo simulation method, this paper presents a reliability analysis approach based on dynamic Bayesian Networks, aiming to assess the failure probability of the subsea wellhead connector during service life. Take the driving ring component of the subsea wellhead connector as an example to demonstrate the reasonability of the proposed model. The generation data is processed by the transform between the numerical value and the state variable. Based on the stress-strength interference theory, the structure reliability of the driving ring with 96.26% is achieved by the proposed model with the consideration the aging of the material strength and the most influential factors are figured out. Meanwhile, the corresponding control measures are proposed effectively reduce the failure risk of the subsea wellhead connector during service life.     

Critical review for the quantification of leachate production: Evaluation example for the “Oum Azza” public landfill in Rabat city,Morocco

The estimation of leachate quantities produced in landfills is necessary to dimension the treatment plants allowing to reduce the polluting load of these effluents and consequently avoid their negative impacts on the environment. Different leachate quantification methods were used in this study to assess the leachate volume produced at the Oum Azza landfill. The water balance method give comparable estimations of leachate production to the Ouled Berjal landfill ratio. The first method showed average values between 487 and 495 m³/day for 2015, 2018, and 2019, and at the same time, the second method gave values between 470 and 477 m³/day for the same years. In contrast, the World Bank ratio showed high values that vary between 2260 and 2295 m³/day for 2015, 2018, and 2019. The on-site data and the statistical analysis showed us that the World Bank ratio is not adapted for the estimation of the leachates produced in Oum Azza landfill, while the water balance and the ratio of Ouled Berjal landfill allowed to give comparable results to reality.     

建筑安全风险因素分级排序的风险矩阵法

为减少风险分级排序时产生的风险结,在引入施工安全事故频率的基础上,采用单元格细化和Borda序值法改进原有的风险矩阵法。改进后的方法使得风险等级数量增加,风险结数量减少。将该方法应用于脚手架工程的风险因素的分级与排序,风险等级分为6级,且实现了12个因素的明确排序。     

《环境监测 分析方法标准制修订技术导则》(HJ 168—2010)对土壤环境监测标准制修订适用性探讨

针对土壤环境监测的复杂性和特殊性,从空白试验、检出限、方法验证、质量控制和标准文本等方面,指出了《环境监测分析方法标准制修订技术导则》《HJ 168—2010》对土壤环境监测标准制修订工作的适用性和执行中存在的问题。提出,为保证土壤标准制修订质量和标准执行质量,应研究适宜土壤监测方法标准的质量控制指标体系和评价体系,及时修订《HJ 168—2010》或发布补充要求;对现有土壤监测方法标准进行技术评估,加强对于土壤标准制修订工作的指导和监管。     

废水中甲基橙的电化学降解

以FTO导电玻璃作为阳极、石墨电极作为阴极电解模拟甲基橙废水,优化了工艺条件,并对甲基橙的降解机理进行了初步探究。实验结果表明,在NaCl投加量5 g/L、电压8 V、废水pH 6、初始甲基橙质量浓度6.0 mg/L的优化条件下电解30 min,废水的脱色率达91.3%,COD降低了62%。机理研究结果表明,电解产生的羟基自由基与甲基橙发生氧化还原反应,破坏了甲基橙的显色基团,使其内部某些化学键发生断裂,从而达到脱色的目的。     

走滑断层作用下X80管道设计应变规律和神经网络预测

走滑断层是埋地管道常见的地质灾害威胁，断层作用下管道会发生较大的拉压应变而失效。为得到X80管道的设计应变，基于有限元方法建立了走滑断层作用下管道的应变响应数值计算模型，模型使用壳单元模拟管道，非线性弹簧单元模拟土壤约束，采用西二线实际工程的管道应变影响参数范围，计算了管道的设计应变；为预测管道的设计应变值，基于以上参数化分析得到的4 817组设计应变结果，采用人工神经网络建立了管道设计应变预测模型。结果表明:该神经网络模型预测结果的最大相对误差小于10%，预测准确性良好，且该方法具有较高的计算效率，可以为断层作用下埋地管道的应变设计与评估提供参考。     

Development and validation of LC-MS/MS method for the determination of Ochratoxin A and its metabolite Ochratoxin α in poultry tissues and eggs

The objective of this study was to develop a liquid chromatography tandem mass spectrometry (LC-MS/MS) method for the determination of Ochratoxin A (OTA) and Ochratoxin α (OTα) in poultry tissues and eggs. The two toxins were extracted by a mixture of acetonitrile/water, purified with a reversed phase C18 solid phase extraction column (SPE) and determined by LC-MS/MS. The LC-MS/MS method performances were evaluated in terms of linearity in solvent and in matrix (ranged from 0.5 to 15.10 µg L^?1 for OTA and from 0.60 to 17.85 µg L^?1 for OTα), limit of detection (LOD), limit of quantitation (LOQ), specificity, accuracy and precision in repeatability conditions. Recovery experiments were performed by spiking poultry liver, kidney, muscle and eggs around 1 µg kg^?1 and 10 µg kg^?1. LODs were 0.27 and 0.26 µg kg^?1 while LOQs were fixed at 1.0 and 1.2 µg kg^?1 for OTA and OTα, respectively. Main recoveries for OTA ranged from 82 to 109% and for OTα ranged from 55 to 89%. The values of within-laboratory relative standard deviation (RSD_r) were equal to or below 20%. Considering the results obtained and that all analytical performance criteria were fulfilled, the new extraction and purification method developed for OTA and OTα determination in animal tissues and eggs was found appropriate for control laboratories and research activities designed to ensure food safety.     

三维电极电Fenton氧化法处理染料废水

采用三维电极电Fenton氧化法处理实际染料废水,探究了染料废水处理效果的影响因素。实验结果表明：以钌铱镀层钛电极为阳极、不锈钢板为阴极、粉末活性炭为颗粒电极,在粉末活性炭投加量为2.0 g/L、电流密度为0.5 mA/mm²、极板间距为3 cm、pH为2.0、硫酸亚铁投加量为0.50 g/L的最优工艺条件下,反应2 h后COD、TOC、氨氮、色度的去除率达到最大,分别为62.80%、41.15%、42.48%和95.00%;粉末活性炭作为颗粒电极可使染料废水COD去除率提高18个百分点;重复使用10次的处理效果与第2次基本持平。     

CeO2/TiO2纳米管催化剂脱硝性能研究

利用废气中本身含有的CO催化还原烟气中的NO_x,可以实现以废治废。采用TiO₂纳米管负载CeO₂,制备CeO₂/TiO₂纳米管催化剂,并对其进行了SEM表征及影响因素实验。实验结果表明：在n（Ce）∶n（Ti）=3∶7、焙烧温度500 ℃、焙烧时间3 h时制备的CeO₂/TiO₂纳米管催化剂形貌较好,表面颗粒分布相对均匀;反应温度400~600 ℃时NO脱除率达98%;该催化剂具有一定的抗氧性能;当n（SO₂）∶n（NO）=（1∶2）~（2∶1）时,NO脱除率仍然在95%以上。     

CePO4-TiO2固溶体的NH3-SCR活性

采用共沉淀法合成了不同Ce与Ti摩尔比的CePO₄-TiO₂复合材料,利用XRD、TEM、NH₃-TPD和H₂-TPR技术对其物理化学性质进行了表征,并对其NH₃-SCR活性进行了评价。实验结果表明：随着CePO₄含量的增加,催化剂的活性提高;当Ce与Ti的摩尔比为8:2时催化剂的活性最高,230 ℃的NO转化率达到100%,且具有更广的温度窗口,优于纯CePO₄。表征结果显示,CePO₄与TiO₂形成固溶体后,颗粒尺寸较为均匀,强酸位的数量增多,氧化还原性能提升,从而提高了催化剂的SCR反应活性,同时改善了其抗水抗硫性能。