Numerical Analysis of the Constrained Blister Test

The constrained blister test is investigated through finite element analysis to determine the applicabilities and the limitations of the new technique. Numerical results confirm that the strain energy release rate asymptotically approaches a constant value. These results also show that the test technique and the approximate solution for strain energy release rate are applicable for some practical cases.     

Effect of additives on formation of natural gas hydrate

The formation of natural gas hydrate (NGH) is studied in this work. Kinetics data of hydrate formation with no agitation were collected at various concentrations of the aqueous solutions with different additives such as alkylpolyglucside, sodium dodecyl benzene sulfonate and potassium oxalate monohydrate. Various kinds of additive increased the formation rates of NGH and its storage capacity and reduced the induction time of NGH formation. Moreover, the storage capacity, the induction time and the hydrate formation rate were influenced by the concentration of the aqueous solution.     

Kinetic analysis on spherulite growth rate of polypropylene catalloys

The kinetic analysis on melt-crystallization of polypropylene catalloys (PP-cats) was conducted through measuring their spherulite growth rates. A multiple melting behavior of PP-cats was found through differential scanning calorimetry (DSC) and the corresponding crystalline microstructures of PP-cats were studied by wide-angle X-ray diffraction (WAXD). The calculated T_m^o value of propylene homopolymer (PP) suggests an obvious melting point depression of PP-cats. Moreover, it is found that the existence of ethylene-propylene copolymer could result in the changes of crystalline microstructure of PP and the PP crystal is in favor of growing along (040) lattice plane of α-monoclinic crystal. The crystal growth rate of PP-cats decreases with the increase of ethylene-propylene copolymer content in PP-cats. A comparison of crystallization kinetics between PP-cats and virgin iPP through a modified Lauritzen-Hoffman model indicates that there appears a transition from regimes II to III in iPP and PP-cats containing low ethylene-propylene copolymer content. However, for the PP-cats containing high ethylene-propylene copolymer content, crystallization always processes in regime II. In addition, both calculated nucleation parameter (K_g) and the fold surface free energy (σ_e) for PP-cats increase with the increase of ethylene-propylene copolymer content, implying that the existence of ethylene-propylene copolymer is unfavorable for the surface nucleation of PP and regular folding of the molecule chain. It is believed that an increase in viscosity of the melts induced by different compositions could remarkably slow crystallization growth down, because under this condition surface nucleation dominates as compared with crystal growth.     

人工神经网络及其在窑炉动态温度场的模拟研究

本文阐述了人工神经网络的发展、基本原理以及前馈神经网络的反向传播学习算法，并应用单孢层网络进行了窑炉烧嘴温度场分布的仿真研究。结果表明。用非线性神经元网络模拟在窑炉温度场预测和控制方面是可行的。     

2-羟丙基三甲基氯化铵壳聚糖的制备及其表征

以脱乙酰度为90%的壳聚糖(CTS)为原料,异丙醇为溶剂,w(NaOH)=40 0%的水溶液为催化剂,3 氯 2 羟丙基三甲基氯化铵(CTA)为改性剂,在m(NaOH)∶m(CTS)=1 0∶1 0,m(CTA)∶m(CTS)=4 0∶1 0,反应温度65 0℃下制备了2 羟丙基三甲基氯化铵壳聚糖(HTCC)。实验结果表明,在反应时间达到或超过9 0h时,得到的HTCC产品的接枝度超过90 0%,在pH=6 7～7 0的水中可完全溶解形成w(HTCC)=3 0%的溶液。IR和1HNMR的结果表明,接枝反应主要发生在CTS的氨基上。     

化工工业厂房建筑安装工程施工临时用电负荷计算

将用电设备按运行工作制和负载持续率分组,按不同的需要系数经验值计算每组用电设备功率,每组设备功率之和乘以同期系数就是总计算功率。同时,还比较了土建施工高峰期和安装施工高峰期负荷容量。     

催化合成高聚合度萘磺酸盐缩合物

用工业萘、硫酸、甲醛为原料,合成出聚合度为16～21的β 萘磺酸盐甲醛缩合物。确立了n(甲醛)/n(萘)=0 88～0 90,反应温度(110±5)℃,反应时间3h,催化剂MA用量为萘质量的1%的最佳工艺条件。产品性能测试表明,加入质量分数为0 8%的产品,混凝土减水率可达21%以上,抗压强度可提高60%以上。     

化学镀Ni-P合金工艺的研究

本文研究了以硫酸镍作为主盐、次磷酸钠为还原剂的酸性化学镀镍磷合金工艺，并通过实验详细分析了主盐和还原剂、络合剂、催化剂、温度、pH值、前处理、亚磷酸钠等因素对化学镀镍磷合金工艺的影响，找出了最适合的镀浴配比和组成以及最佳的操作务件。     

基于两阶段人工鱼群算法的U型渠道断面优化设计

渠道断面优化是控制农田水利工程成本的重要因素,已有的渠道断面优化研究以梯形渠道为主,对U型渠道研究较少。以优化U型渠道深度、圆弧半径和直线段外倾角为目标,建立以U型渠道过水断面面积最小为目标函数、满足设计流量要求的数学优化模型。根据U型渠道水力计算的复杂性,利用引入协调行为的两阶段人工鱼群算法,对渠道断面设计进行优化。优化结果满足边坡稳定等约束条件。将模型应用于连云港市赣榆区黑林镇土地整理项目,10条斗渠过水断面面积均减小,优化后占地面积共减少28.603 m~2,占原占地面积的5.0%。     

基于改进粒子群优化算法的BP神经网络在大坝变形分析中的应用

BP神经网络以其对非线性系统的强大映射能力而被广泛应用于模糊性、随机性强的大坝变形预测分析中。传统的BP神经网络由于初始权值和阈值的随机性,容易导致网络在训练过程中极易陷入局部最小值,同时存在网络收敛速度慢等缺点。针对传统算法的不足,采用改进的粒子群算法(IPSO)对BP网络的初始权值和阈值给予优化,建立大坝变形预测的IPSO-BP模型,并与PSO-BP网络模型进行对比。结果表明,改进的IPSO-BP模型具有收敛速度更快、预测精度更高的优点。该方法可供大坝安全监测和预警分析参考。