基于遗传算法的支持向量机预测有机物自燃点的研究

根据定量构效关系(QSPR)原理,研究自燃点(AIT)与其分子结构间的内在定量关系。以265种有机化合物作为样本集,随机选择238种作为训练集,27种作为测试集,用遗传算法(GA)进行变量选择,分别建立多元线性回归(MLR)模型和支持向量机(SVM)模型研究有机物的自燃点与其分子结构间的关系。通过分析,发现造成模型预测效果不佳的原因是试验数据本身存在问题。通过对2个模型的比较,结果为GA-SVM模型明显优于GA-MLR模型,说明自燃点与其分子结构间具有很强的非线性关系。     

引气剂和聚丙烯纤维对高水材料性质的影响研究

为了改变高水材料的破坏特点,采用引气剂和聚丙烯纤维双掺对其进行改性。试验结果表明:随着引气剂掺量的增加,浆体的流动性逐渐降低,混合浆液失流时间延长,试块密度和单轴抗压强度逐渐减小;聚丙烯纤维的掺入,对浆体流动性、失流时间、引气率影响均较小。聚丙烯纤维最佳掺量为2 kg/m3,引气剂和聚丙烯纤维的掺入使硬化体的弹性模量略有减小,且使试块由脆性破坏转变为延性破坏,在保持整体不散的情况下,提高其压缩量。SEM观察表明:钙矾石在气泡壁上集中生成,聚丙烯纤维与基体的界面处有利于针状钙矾石的生成,从而使聚丙烯纤维更好地发挥增强增韧的作用。     

Nonlinear molecular based modeling of the flash point for application in inherently safer design

New chemical process design strategies utilizing computer-aided molecular design (CAMD) can provide significant improvements in process safety by designing chemicals with required target properties and the substitution of safer chemicals. An important aspect of this methodology concerns the prediction of properties given the molecular structure. This study utilizes one such emerging method for prediction of a hazardous property, flash point (FP), which is in the center of attention in safety studies. Using such a reliable data set comprising 1651 organic and inorganic chemicals, from 79 diverse material classes, and robust dynamic binary particle swarm optimization for the feature selection step resulted in the most efficient molecular features of the FP investigations. Apart from the simple yet precise five-parameter multivariate model, the FP nonlinear behavior was thoroughly investigated by a novel hybrid of particle swarm optimization and support vector regression. Besides, 195 missing experimental FPs of the DIPPR data set are predicted via the presented procedure.     

Influence of ATD versus PMHS reference sensor inputs on computational brain response in frontal impacts to advanced combat helmet (ACH)

ABSTRACT

Objective: This study analyzed the influence of reference sensor inputs from anthropomorphic test devices (ATDs) versus postmortem human subjects (PMHSs) on simulations of frontal blunt impacts to the advanced combat helmet (ACH).

Methods: A rigid-arm pendulum was used to generate frontal impacts to ACHs mounted on ATDs and PMHS. An appropriately sized ACH was selected according to standard fitting guidelines. The National Operating Committee on Standards for Athletic Equipment (NOCSAE) head was selected for ATD tests due to shape features that enabled a realistic helmet fit. A custom procedure was used to mount a reference sensor internally near the center of gravity (CG) of the PMHS. Reference sensor data from the head CG were used as inputs for the Simulated Injury Monitor (SIMon). Brain responses were assessed with the cumulative strain damage measure set at 10%, or CSDM(10).

Results: Compared to ATD tests, PMHS tests produced 18.7% higher peak linear accelerations and 5.2% higher peak angular velocities. Average times to peak for linear accelerations were relatively similar between ATDs (5.5?ms) and PMHSs (5.8?ms). However, times to peak for angular velocities were higher by a factor of up to 3.4 for PMHSs compared to ATDs. Values for were also higher by a factor of up to 13.1 when PMHS inputs were used for SIMon.

Conclusions: The preliminary findings of this work indicate that small differences in ATD versus PMHS head kinematics could lead to large differences in strain-derived brain injury metrics such as CSDM.     

Automation design in advanced control rooms of the modernized nuclear power plants

This study evaluated the effects of levels of automation (LOAs) decisions in advanced control rooms of the modernized nuclear power plants. Following advancements in design of digitalized human–system interfaces (HSIs), the roles of human operators have changed significantly. Negative performance and safety consequences may occur as a result of these changes. These problems are viewed as the out-of-the-loop (OOTL) performance problems. This study conducted an experiment to compare the effects of different LOAs under different operating procedures on operating performance. Experimental results indicated that blended decision-making (level 6 LOA) generates the lowest mental workload. Furthermore, the pattern of SA observed in this study is found better SA at intermediate LOA and poorer SA at low level of automation and full automation. Subjective rating results suggest that LOAs distribute the roles of option generation, and selection between human and/or computer servers which significantly impacts automated system performance. This study provides a direction for the HSI designers in nuclear power plants (NPPs). Additionally, based on results obtained by this study, the user interfaces of PCTRAN system and the alarm reset system should be improved to ensure safe operation of NPPs.     

ZVI与TCE反应参数优化及动力学方程的建立

以批量研究的方法,考察了ZVI纯度、ZVI粒径、ZVI投量、p H值、温度和初始TCE浓度对TCE去除的影响,建立了ZVI去除TCE的动力学方程。最佳参数为:ZVI纯度92%,ZVI粒径30目,ZVI投量30 g,p H值为6.0,温度25℃,初始TCE质量浓度50 mg/L。最佳条件下TCE去除率可达73.6%,反应符合一级动力学方程。     

单板层积梁弯曲破坏的试验研究与分析

在万能力学试验机上测试由高频热压方法制造的桦木和椴木单板层积梁的密度、静曲强度(MOR)、弹性模量(MOE)和水平剪切强度等力学性质;讨论LVL(单板层积材)梁受弯曲、水平剪切载荷时的主要破坏形式并得出相关结论。测试结果表明,在该试验条件下,桦木和椴木LVL梁具有较大的密度、MOR和较高的MOE。其主要物理力学性能受树种的影响较大,桦木LVL梁的主要性能均优于椴木LVL梁。当LVL梁受弯曲破坏时,其主要破坏形式为整体断裂破坏、开裂破坏以及混合破坏等3种;受水平剪切应力破坏时,以基材剪切破坏和胶层剪切破坏两种形式为主。     

主元分析-神经网络岩爆等级预测模型

为准确可靠地预测岩爆灾害,构建结合主元分析法(PCA)的径向基神经网络(RBFNN)、概率神经网络(PNN)和广义回归神经网络(GRNN)岩爆预测模型。选取6个常用的参数构成岩爆预测指标体系,采用PCA消除各指标间的相关性并降维,得出3个线性无关的主元即岩爆综合预测指标Y1、Y2和Y3,构成RBFNN、PNN、GRNN这3种神经网络的输入向量。研究结果表明:这3种PCA-神经网络模型,其岩爆预测结果优于对应的RBFNN、PNN、GRNN模型,提高预测准确率并缩短运算时间。从局部准确率、整体准确率及运算时间这3个方面综合比较,各模型的预测能力从强到弱依次为:PCA-GRNN> PCA-PNN> PCA-RBFNN> PNN> GRNN> RBFNN。     

RS-PSO-ELM下腐蚀管道失效压力预测

为提高腐蚀管道失效压力的预测精度并简化其计算过程,提出基于粗糙集(RS)和粒子群算法(PSO)融合极限学习机(ELM)的腐蚀管道失效压力预测模型。通过属性约简提取影响失效压力的关键因素,选用PSO优化ELM的输入权值和隐含层偏差,将归一化的核心指标数据代入计算。结果表明:该模型预测结果与实际值基本一致,与单一ELM模型相比,预测结果的均方差(MSE)降至0.255;与其他蚀管道失效压力评价模型相比,该模型预测结果的绝对误差平均值降至0.32。     

基于案例推理的大型养路机械故障诊断系统

为实现铁路大型养路机械(简称"大机")故障的智能检索和诊断,使用基于案例推理(CBR)的思路分析和设计用以实现这些目的的系统。阐述案例的表示和构建方法。提出捣固车的故障案例模型构建方法。设计捣固车故障诊断的CBR系统。给出带权值的k-近邻法的案例相似性检索方法。提出大机故障诊断智能决策系统,采用定性和定量检索相结合的方法。故障诊断系统能够进行案例的定性、定量和混合检索。用捣固车的具体故障案例,验证所设计的系统的可行性。诊断系统检索得到的故障类型与依据现场采集的数据判定的故障类型基本一致,能够进行案例调用和修改。     

A comparative study on the autoxidation of dimethyl ether (DME) comparison with diethyl ether (DEE) and diisopropyl ether (DIPE)

The Japanese government is planning to introduce DME as a substituted energy for oil and LNG. Introduction of DME could contribute greatly to both the prevention of global warming and the formation of resource-recycling societies. In these circumstances, a safety assessment of DME is very important when DME is used on a large scale. There is a possibility that prolonged exposure in air induces autoxidation to produce explosive organic peroxides during transportation and storage of DME. Therefore, the reactivity of DME with oxygen and the mechanism of the autoxidation were investigated. Accelerating Rate Calorimetry (ARC) was used to evaluate the thermal stability of DME and DIPE, a known peroxide producers, under adiabatic and various atmospheric conditions. In ARC studies of DME under oxygen, exothermic decompositions were detected although its self-heating rate was low in comparison with DIPE. Oven storage tests were carried out and iodimetry was used to measure the concentration of peroxides produced from DME in comparison with DIPE and DEE. However, no products could be found for DME either by GC/MS or by iodimetry, while some evidence of autoxidation of both DEE and DIPE were obtained from these experiments.     

TMBR+NF/RO组合工艺处理垃圾渗滤液的工程应用

采用TMBR+NF/RO组合工艺对湖北省宜昌市某垃圾卫生填埋场渗滤液进行处理,介绍了组合工艺的流程、特点、设备规格、技术参数。TMBR系统对可生化降解COD处理后,COD平均质量浓度为822 mg/L,平均去除率为95.8%,对NH_3-N平均去除率为94.9%;经过NF/RO出水的COD平均值为45 mg/L,NH_3-N均小于25mg/L,达到《生活垃圾填埋场污染控制标准》(GB 16889—2008)的排放标准。组合工艺处理成本为29.5元/m3。     

Reliability analysis of subsea blowout preventers with condition-based maintenance using stochastic Petri nets

Blowout Preventer (BOP) has maintained its function as a safety barrier and the last line of defence against oil and gas spills since its development in the early 1900s. However, as drilling and exploration activities move further offshore, challenges pertaining to reliable operation of the subsea BOP systems continue to be a source of concern for stakeholders in the industry. In spite of recent advancements in reliability analysis of safety instrumented systems (SISs), the research on reliability assessment of BOP is still lacking in some regards. There are gaps in the literature with respect to the incorporation of preventive maintenance (PM) strategies as well as dynamic operating conditions into BOP reliability analysis. To address these gaps, this paper develops an advanced analysis method using stochastic Petri nets (SPN) to estimate the reliability of subsea BOP systems subject to condition-based maintenance (CBM) with different failure modes. The BOP system is divided into five subsystems which are connected in series with each other and categorised into degrading and binary units. The performance of the BOP system in terms of availability, reliability and mean-time-between failures (MTBF) is obtained and analysed. A sensitivity analysis is also performed to evaluate the effect of fault coverage factor and redundancy design on system performance. The results show that both the fault coverage factor and redundancy have significant impact on the BOP's reliability, availability and MTBF.     

可燃气体空间置换限值研究

在全面解析三元组分图构成要素和含义的基础上,分析可燃物质设备投用和停用过程中惰化置换的机理和浓度限值。可燃气体空间置换限值包括设备投用惰化置换时氧气的最高容许浓度(ISOC)和设备停用惰化置换时可燃气体的最高容许浓度(OSFC),二者可由试验和公式计算2种方式获得。与目前惰化置换时通常参照的限制氧浓度(LOC)、燃烧下限(LFL)等参数相比,ISOC和OSFC值可以更准确地表征惰化置换时临界浓度的意义。通过对部分可燃物质的ISOC和OSFC试验值及计算值进行对比分析,证明以LOC为依据计算出的ISOC和OSFC值与试验值具有更高的符合性;指出目前国内惰化置换浓度控制值采用统一规定值这一方式的不足;证明合理利用LFL,LOCI,SOC,OSFC等参数开展可燃气体密闭空间置换限值研究的科学合理性。     

MBR-RO组合工艺深度处理焦化废水试验研究

采用膜生物反应器-反渗透(MBR-RO)组合工艺对二级生化处理后的焦化废水进行深度处理。考察了MBR单元及RO单元对污染物的去除效果,详细探讨了原水电导率、跨膜压差对RO单元产水率和脱盐率的影响。试验结果表明,该组合工艺运行稳定且处理效果好,处理后的出水水质能满足《工业循环冷却水处理设计规范》(GB 50050—2007)的要求。     

基于BERT的灾害三元组信息抽取优化研究

为从网络媒体文本中快速、准确提取灾害三元组信息,利用 自然语言处理(NLP)技术,研究灾害三元组信息抽取应用及其算法优化.通过双向编码器表示(BERT)预训练语言模型,应用于地质灾害三元组信息提取的实例中,针对模型由于底层多头注意力(MHA)机制会导致"低秩瓶颈"问题,对此,通过增大模型key-size对其进行优化.结...     

高速公路安全水平仿真分析

为深入研究高速公路安全系统,用系统动力学(SD)方法分析驾驶员、车辆、道路、应急救援等组成要素以及环境、管理等影响因素之间的关系,建立高速公路安全系统因果关系模型和存量流量模型。用层次分析法(AHP)确定各影响因素的权重。以三福高速公路为例,用Vensim软件模拟高速公路运营期间系统安全的变化情况。结果表明,在该高速公路运营期间,系统安全与车辆安全度呈先上升后下降的趋势、道路安全度呈下降趋势、驾驶员安全度与应急救援能力呈上升趋势。通过与实际数据对比,验证了模型的有效性。     

基于QSPR方法的脂肪醇化合物闪点预测

为提高脂肪醇化合物闪点预测精度,提出基于定量结构-性质关系(QSPR)原理的脂肪醇化合物闪点预测方法。应用Dragon软件计算出91种脂肪醇的分子描述符,利用遗传函数算法(GFA)从1 481个描述符中筛选出3个与脂肪醇闪点关系最密切的分子描述符。分别用多元线性回归(MLR)方法和支持向量机(SVM)方法进行建模,并采用内部验证和外部检验的方式对模型的拟合度、预测性等性能进行验证。结果表明:预测集的MLR方法和SVM方法的平均绝对误差(AAE)分别为2.870 K和2.706 K;均方根误差(RMSE)为3.451 K和3.371 K。SVM模型在精度上略优于MLR模型,而MLR模型更为简单和方便。     

稻田土壤细菌对重金属镉的氧化应激反应研究

研究重金属镉胁迫下稻田土壤大肠杆菌K12、枯草芽孢杆菌B19及Ralstonia eutropha DKC1中超氧化物歧化酶(SOD)、过氧化氢酶(CAT)和ATP酶活性等应激酶活性的短期(46 h)变化.结果表明,不同浓度镉对E.coli K12,B.subtilisB19和R.eutrophaDKC1培养不同时间的SOD、CAT和ATP酶活性均有不同程度的诱导作用,表现在前期、低浓度时激活,后期、高浓度时抑制,体现了不同微生物间的差异以及抗镉潜力的不同.3种指标间接地反映了环境中有毒有害物质的存在,且能在早期较灵敏地指示污染的影响,作为环境受到污染胁迫的细胞生化指标具有一定可行性.