Adsorption of phenolic compounds from aqueous solutions by aminated hypercrosslinked polymers

Two novel polymers （NJ-1 and N J-2） were synthesized by chemically modified a hypercrosslinked polymer NJ-0 with dimethylamine and trimethylamine, respectively. The comparison of the adsorption properties of the three polymers toward phenol, resorcin and phloroglucin was made. The study focused on the static equilibrium adsorption behaviors and the adsorption thermodynamics. Freundlich equation was found to fit the adsorption results well. The effect of amino groups introduced onto the surface of the resin and the structure of phenolic compounds on the adsorption were also studied. The hydrogen-bonding interaction and electrostatic interaction could happen between the amino groups and the adsorbates. The adsorption impetus increased as quantity of hydroxyl groups increased, but the adsorption capacity decreased due to the drop of the matching degree of the aperture of resins and the diameter of adsorbate molecules.     

基于BP神经网络的污水格栅间气体监测

为实现对城市污水泵站格栅间内H₂S和CO有害气体浓度实时准确监测分析,设计气体传感器阵列监测系统,建立单隐层BP神经网络模型对气体浓度样本进行训练,确定网络隐含层数为9,训练函数为traindm,模型优化后输出的H₂S和CO气体浓度与实测值的平均相对误差分别为1.3%与0.4%。研究结果表明：采用BP神经网络模型对传感器阵列采集到的样本数据进行训练,可提高其测量精度,提升精度范围在57%～75%之间,能够满足对污水泵站有害气体监测的基本要求,所建立模型表现出良好效果。研究结果可为污水格栅间有害气体监测提供新方法。     

相控阵双波法缺陷定量与定性

介绍用相控阵超声检测（PAUT）,借助于缺陷衍射回波信号间距和波幅比,改善对缺陷进行定量定性的方法。缺陷快速定性（分类）和准确定量（测高）对在制检测和在用检测很有实用意义。期盼此法迅速推广应用于承压设备检测。     

有源相控阵可靠性分析及设计

基于有源相控阵原理和特点,对有源相控阵可靠性特征展开了分析。在同等复杂度下,采用可靠性表决模型和全串联模型对可靠性特征进行了对比分析,给出了有源相控阵表决模型设计的工程经验参数,并利用氮化镓器件对有源相控阵高可靠性设计进行了展望。     

Optimization of a novel process for the ozonolysis of 2, 4‐dichlorophenol

An innovative process was studied for the destruction of 2,4‐dichlorophenol in water. The immiscible fluorinated solvent, inert and highly ozone soluble, was used as the solvent in the extraction‐ozonation system. Taguchi methods were applied in the design of experiments to identify the significant factors and establish the optimal combination of process parameters. The result indicate that this statistical technique can provide an extremely effective structured approach.     

基于斜投影算子的引信抗主瓣干扰方法

目的 利用信号极化域信息滤除干扰信号,解决回波阵列期望信号和主瓣干扰信号的入射角一致导致空域滤波抗干扰失效的问题。方法 由于主瓣干扰信号的极化状态通常是未知的,为此提出基于斜投影的抗主瓣干扰方法。该方法利用极化域–空域联合谱多信号分类算法,估计主瓣干扰信号的极化状态。然后,利用期望信号和主瓣干扰信号极化状态的差异,通过构造斜投影算子,处理阵列接收数据,从而滤除主瓣干扰信号。结果 当主瓣干扰导向矢量失配,或者期望信号与主瓣干扰信号的极化状态满足一定程度的差异时,基于斜投影的抗主瓣干扰方法均取得良好效果。结论 基于斜投影的抗主瓣干扰方法具有稳定性好、鲁棒性强等优点,可应用于雷达、无线电引信等系统对主瓣干扰的抑制,提升雷达、无线电引信等系统适应复杂电磁环境的能力。     

地面运动最大幅值、到时的差动特性

利用ＳＭＡＲＴ－１台阵３次地震的水平分量加速度记录统计了局部场地上地震动加速度最大幅值、到时的变化特性。统计结果表明：在局部场地上，地震动加速度的最大幅值随土层厚度和测点坐标的变化是显著的，而到时变化仅依赖于测点坐标