黑尾近红鲌人工繁殖研究

报道了2001~2003年对长江上游特有鱼类黑尾近红鲌开展人工繁殖试验的结果。黑尾近红鲌亲鱼来源于四川泸州长江上游一级支流龙溪河。催产剂为促黄体素释放激素类似物(LRH A)，绒毛膜促性腺激素(HCG) 与鲤鱼脑垂体(PG)。采用一次注射法，并用干法进行人工授精。共进行了23次人工催产，催产成功的占16次，有效的占3次，失败的占4次；共注射雌鱼70尾，其中46尾雌鱼排卵，平均催产率65.71%，受精率8.33%~100.0%，孵化率0.50%~94.71%，获得仔鱼29.3万尾。对亲鱼选择、催产方法、孵化与苗种培育等技术细节进行了讨论。     

柱型水力旋流器对硅切割废砂浆分离性能的研究

为了研究废砂浆中碳化硅粉和硅粉的分离情况,选用混合模型对柱型水力旋流器多相流流场进行数值模拟。模拟结果表明:柱型水力旋流器的分离效率与入口速度、进口浓度等因素有关,并分析出一定条件下当主、次相的入口速度均为1.1m/s时颗粒分离效果较好,分离效率较高,实验检测分离性能较好,为进一步实验研究提供一定的指导。     

浅海跃层底质对水下声的影响研究

本文针对海底底质对水下噪声传播具有显著影响的现象,选取典型负梯度温度跃层,加载三个典型海底底质,即细砂底质、粉砂底质及黏土-粉砂底质,声波参数为固定值。试验定性分析了浅海海底底质对水下声传播的影响,仿真计算了海底底质对声传播的影响,比较分析了不同底质条件下声波的衰减差异,总结了不同底质对水下声传播影响的特点,并同行参考。     

金属飞片对EFI起爆能量的影响

目的降低EFI的发火能量,研究非金属飞片与金属飞片在EFI中的应用。方法采用飞片材料匹配的方法,并选择金属Al与金属Ti,开展金属飞片的设计与制备,得到Al-PI与Ti-PI的金属飞片以及金属飞片-爆炸桥箔metallic flyer,并开展发火摸底试验。结果在不额外对金属飞片进行绝缘处理的情况下,含有金属飞片的EFI均未发火;对金属飞片进行绝缘处理后,含有金属飞片的EFI均可靠发火。采用光子多普勒测速仪(PDV)进行的飞片速度测试结果表明,在充电电压为1200 V时,Ti-PI金属飞片的速度为3604 m/s,金属飞片-爆炸桥箔一体化换能元速度为2986m/s。结论同样的发火电压下,金属飞片-爆炸桥箔一体化换能元的金属飞片速度明显小于绝缘层较厚的金属飞片速度。     

基于BP神经网络的儿童卧室内灰尘PAEs浓度预测

在实测数据的基础上,以邻苯二甲酸酯(PAEs)的各类影响因素为自变量,PAEs浓度为因变量,采用Back-propagation(BP)神经网络建立儿童卧室内PAEs浓度预测模型.结果表明,该模型的预测效果较理想,其中,STD比值均＞0.5,NMB均接近0,EMR均＜19％.以室内环境与儿童健康(CCHH)课题组天津地...     

On the determination of the laminar burning velocity from closed vessel gas explosions

A methodology to determine the laminar burning velocity from closed vessel gas explosions is explored. Unlike other methods which have been used to measure burning velocities from closed vessel explosions, this approach belongs to the category which does not involve observation of a rapidly moving flame front. Only the pressure–time curve is required as experimental input. To verify the methodology, initially quiescent methane–air mixtures were ignited in a 20-l explosion sphere and the equivalence ratio was varied from 0.67 to 1.36. The behavior of the pressure in the vessel was measured as a function of time and two integral balance models, namely, the thin-flame and the three-zone model, were fitted to determine the laminar burning velocity. Data on the laminar burning velocity as a function of equivalence ratio, pressure and temperature, measured by a variety of other methods have been collected from the literature to enable a comparison. Empirical correlations for the effect of pressure and temperature on the laminar burning velocity have been reviewed and two were selected to be used in conjunction with the thin-flame model. For the three-zone model, a set of coupled correlations has been derived to describe the effect of pressure and temperature on the laminar burning velocity and the laminar flame thickness. Our laminar burning velocities are seen to fall within the band of data from the period 1953–2003. A comparison with recent data from the period 1994–2003 shows that our results are 5–10% higher than the laminar burning velocities which are currently believed to be the correct ones for methane–air mixtures. Based on this observation it is concluded that the methodology described in this work should only be used under circumstances where more accurate methods can not be applied.     

Prediction of minimum ignition energy of aerosols using flame kernel modeling combined with flame front propagation theory

Flammable aerosols have created many fire and explosion hazards in the process industry, but the flammability of aerosols has not been fully understood. The minimum ignition energy has been widely used as an indicator for flammability of combustible mixtures, but the amount of experimental data on the minimum ignition energy of aerosols is very limited. In this work, the minimum ignition energy of tetralin aerosols is predicted using an integrated model. The model applies the flame front propagation theory in aerosol systems to the growth of the flame kernel, which was created during the spark discharge in the ignition process. The aerosol minimum ignition energy was defined as the minimum level of energy in the initial flame kernel to maintain the kernel temperature above the minimum ignition temperature of 1073 K specific for tetralin aerosols during the kernel growth. The minimum ignition energy obtained in the model is influenced by the fuel-air equivalence ratio and the size of the aerosol droplets. For tetralin aerosols of 40 μm diameter, E_min decreases significantly from 0.32 mJ to 4.3 × 10 e⁻³ mJ when the equivalence ratio rises from 0.57 to 1.0. For tetralin aerosols of 0.57 equivalence ratio, E_min increases from as 0.09 mJ to 0.32 mJ when the droplet diameter rises from 10 μm to 60 μm. The trends are in agreement with previous experimental observations. The method used in current work has the potential to prediction of the minimum ignition energy of aerosol.     

基于BP神经网络不同输入变量的爆破振速预测

以某隧道爆破开挖为实例,利用BP神经网络解决复杂非线性函数逼近问题的能力,以最大段药量、爆心距、爆破分段数、泊松比、岩石基本质量指标作为影响爆破振动速度的主要因素,选取不同维数的输入变量建立BP神经网络模型来预测爆破振动速度。对比分析各组预测值与实测值之间的相对误差,选取合理维数的输入变量建立了爆破振动危害预测的BP神经网络模型。     

基于主成分分析法的危险货物运输企业安全评价

为更准确地评估危险货物运输企业安全等级以降低其运输风险,提出基于主成分分析法(PCA)的危险货物运输企业BP神经网络安全评价模型;在从人-机-物-环境-管理角度构建危险货物运输企业安全评价指标的基础上,分别利用该模型和其他3种模型对3家实例企业进行仿真评价和对比分析。结果表明,该模型的评价结果与期望值间的相对误差约为0.5%～1.2%,计算精度优于其他模型,且具有计算量小等特点。