Novel Biocomposites Sheet Molding Compounds for Low Cost Housing Panel Applications

Biocomposites were made by a novel high volume processing technique named biocomposite sheet molding compound panel (BCSMCP) manufacturing process. This process design was inspired by the commercial glass fiber–polyester resin composite fabrication method called sheet molding compounding (SMC). This process yields continuous production of biocomposites on a large scale, and thus can be easily adopted in industries. A unique fiber dispersion method, which enabled uniform distribution of natural fibers, was used in this process. Consistency of the process was tested by evaluating the repeatability of the resultant materials mechanical properties. The low cost biocomposites produced as a result of the processing will be used for various panel applications such as housing and transportation. The molded samples were tested for various mechanical and thermal properties, in accordance with ASTM procedures. The biocomposites were made with various natural fibers including, big blue stem grass, jute, and industrial hemp. By combining different natural fibers in varying mass fractions, hybrid biocomposites were made using this process. Grass fiber reinforced polyester biocomposites processed by the SMC line showed very promising results.     

潮土施镍对小白菜的生物效应及其临界值研究

研究潮土施Ni对盆栽蔬菜的生态效应,并通过小白菜生物量的变化、地上部茎叶Ni质量比及土壤有效态Ni质量比来表征土壤Ni污染的毒性临界值.结果表明,潮土施Ni对蔬菜未表现出增产效应.施Ni量低于25 mg/kg,其生物产量无明显降低.随施Ni量的增加,生物产量呈显著下降,生物量变化与Ni质量比呈高度负相关.潮土施Ni增加茎叶和根系中Fe,Mn,Ca,Mg元素质量比,降低Cu,Zn元素质量比.4种性质不同的提取试剂提取的土壤有效态Ni质量比与植物Ni吸收均呈高度正相关,较好地反映了植物的危害状况,且以DTPA提取效果最佳.以生物减产量突变点为依据,确定潮土施Ni毒害临界值为:土壤全量Ni为41.86 mg/kg,有效态Ni质量比为2.55mg/kg(DTPA)和茎叶Ni质量比为22.39 mg/kg.     

Formation and growth of indoor air aerosol particles as a result of d-limonene oxidation

Oxidation of d-limonene, which is a common monoterpene, can lead to new aerosol particle formation in indoor environments. Thus, products containing d-limonene, such as citrus fruits, air refresheners, household cleaning agents, and waxes, can act as indoor air aerosol particle sources. We released d-limonene into the room air by peeling oranges and measured the concentration of aerosol particles of three different size ranges. In addition, we measured the concentration of d-limonene, the oxidant, and the concentration of ozone, the oxidizing gas. Based on the measurements we calculated the growth rate of the small aerosol particles, which were 3–10 nm in diameter, to be about , and the losses of the aerosol particles that were due to the coagulation and condensation processes. From these, we further approximated the concentration of the condensable vapour and its source rate and then calculated the formation rate of the small aerosol particles. For the final result, we calculated the nucleation rate and the maximum number of molecules in a critical cluster. The nucleation rate was in the order of and the number of molecules in a critical-sized cluster became 1.2. The results were in agreement with the activation theory.     

乌鲁木齐市冬季近地逆温特点及其与可吸入颗粒物浓度的相关关系分析

总结了乌鲁木齐市冬季逆温的形成及其特点,着重分析逆温强度等与可吸入颗粒物浓度的相关关系,最终得出线性方程,并做出线性拟合图。     

基于证据理论的煤矿瓦斯涌出组合预测

为提高煤矿瓦斯涌出量预测的准确度,引入证据理论组合预测方法。根据瓦斯涌出量及其主要影响因素间的实验数据,采用3个不同的粒子群神经网络模型对涌出量进行初步预测。并由BP、RBF网络对预测误差及预测点的影响因素进行分析建模,以获取每个模型的可信度。再利用证据理论对其进行合成,确定组合模型的权值,最终实现对瓦斯涌出量的组合预测。实例结果表明,该组合预测方法的平均绝对误差、均方误差分别为18.5%、5.8%,均小于神经网络组合法及等权平均法的相应预测误差,适用于煤矿瓦斯涌出量预测。     

循环流化床烟气悬浮脱硫技术中试及机理分析

设计了新的循环流化床烟气悬浮脱硫中试装置,其烟气处理量达3500m³/h.首先进行了进料钙硫比(Ca/S)、过饱和温度对装置脱硫效率影响实验,进一步研究了脱硫塔内固体颗粒物循环和烟气流速等因素对脱硫装置性能的影响.对比实验研究表明:在Ca/S=1.2时,固体颗粒物的循环使系统脱硫效率提高15% 左右;脱硫塔内烟气设计流速可以偏高一些.本文同时对系统脱硫过程进行了机理分析,指出了延长脱硫剂有效停留时间的途径.     

综合拉底、扩漏和出矿全过程的底部结构安全性颗粒流模拟技术研究

为探明自然崩落法从拉底崩落至出矿全过程中底部结构节理连续扩展过程与破坏过程规律，采用PFC2D软件，结合RocLab软件反演节理岩体参数，建立229 m×129 m的岩体扩大模型，对拉底崩落至出矿过程进行连续综合计算。研究结果表明:模拟结果及破坏现象与现场监测结果相近，建模与细观参数反演方法适用于该类岩体工程研究；裂纹扩展贯通导致岩体失稳破坏，破坏过程与裂纹扩展具有相对应的阶段特征，裂纹扩展分为崩落前稳定扩展期，崩落与聚矿槽开挖过程加速扩展期和后续持续扩展期；结构破坏分为蕴育过程，扰动失稳过程和宏观破坏过程；较大范围的宏观破坏主要在出矿阶段。该模拟方法与结果可为底部结构维护以及节理岩体长期稳定性研究提供参考。     

RBF神经网络可靠度分析方法在边坡稳定性研究中的应用

针对边坡稳定性可靠度分析,当状态函数无法显式表达且传统计算方法求解复杂问题困难时,提出一种基于ABAQUS和粒子群优化径向基函数神经网络的可靠度分析方法。基于ABAQUS的强度折减方法计算所选随机变量对应的安全系数,利用径向基函数神经网络的数据拟合功能,建立模型并映射出安全系数和随机变量之间的关系,构造响应面功能函数;利用蒙特卡罗生成的大量随机样本代入功能函数得到相应的安全系数,进而计算边坡的失稳概率和可靠度指标来反映边坡稳定性。研究结果表明:相对于传统方法,本文方法计算效率更高、误差更小,适合实际工程应用。     

考虑爆裂影响的钢筋混凝土梁火灾温度场数值分析

为了描述混凝土高温爆裂对构件热传导过程的影响,结合钢筋混凝土梁火灾试验,考虑爆裂时间和区域的不确定性,建立了火灾下钢筋混凝土梁数值分析模型,分析爆裂深度、爆裂面积比、爆裂位置等爆裂参数对梁跨中截面温度场的影响规律。研究结果表明:当钢筋混凝土梁发生受火爆裂,梁截面的温度显著升高,并随爆裂深度的增大而进一步增强;爆裂面积比对截面温度场影响不显著,当爆裂深度、爆裂位置一定,爆裂面积比增加达到13%左右时,截面温度场基本上不再变化;爆裂深度、爆裂面积比一定,梁跨中爆裂对截面温度场影响最大,但是底部纵筋处温度较顶部纵筋处温度升高较快。     

基于SPH方法与GPU并行计算的复杂阶梯流数值模拟

为了更有效地模拟和分析地铁站内复杂楼梯上洪水流动的动力学特征,采用光滑粒子流体动力学方法(SPH)并借助GPU并行计算技术对复杂形态(带1、2、3个休息平台的直行、直角转弯L型)阶梯上洪水流动特征和漫延过程进行数值建模和计算分析。基于SPH方法和GPU并行加速的复杂阶梯流模型的数值模拟结果表明:该模型不但可以计算获得更好的阶梯流流态,而且具有较高的计算效率;不同休息平台数、不同形态阶梯上洪水水流呈现差别较大的水流特征;该模型借助GPU并行加速,适合研究大尺度复杂楼梯上洪水漫延问题,可为分析和评估洪水水流对地铁站楼梯上被困人员疏散过程的影响提供有力的工具。