烟叶中六种成分OSC-PCR定量模型的研究

采用近红外光谱技术对烟草中常规化学成分总糖、 还原糖、 烟碱、 总氮、 淀粉和挥发性碱进行测定。利用正交信号校正法(OSC)对烟叶的近红外光谱进行预处理,再使用主成分回归方法(PCR)建立烟叶中六种化学成分的定量分析模型,采用蒙特卡洛交互验证作为集成的建模策略优化模型参数,使用外部预测的相对预测性能(RPD)评价模型。结果表明,OSC有效解决了PCR投影方向并非浓度相关性最大方向的问题,同时解决了噪声、 基线漂移、 杂散光等问题。OSC-PCR建立的模型能够有效检测烟草常规化学成分。该研究方法通过确定化学值的波动范围初步监控烟叶中常规成分的含量,对于烟草品质评价和控制质量稳定性以及烟草香气成分分析具有重要意义。     

正交各向异性板中非主轴方向的Lamb波

基于线性三维弹性理论,采用勒让德正交多项式展开法,推导了波沿正交各向异性材料非主轴方向传播时的Lamb波耦合波动方程,并对耦合波动方程进行了数值求解。为验证该方法的适用性和正确性,首先将此方法应用于各向同性材料,并与已知的数据结果进行了比较;然后以单向纤维增强复合材料为例,计算了耦合Lamb波沿不同的非主轴方向传播时的相速度频散曲线,并分别研究了传播方向改变时低阶模态Lamb波和高阶模态Lamb波频散特性的变化。最后,针对潜在用于各向异性复合材料结构健康监测的耦合Lamb波低阶模态,给出了其在不同传播方向时的相速度分布和群速度分布。同时,结合低阶模态Lamb波的位移分布特性和材料的各向异性特点,阐释了S0模态对波的传播方向变化最为敏感的原因。     

APPLICATION AND THEORETICAL ANALYSIS OF C/SiC COMPOSITES BASED ON CONTINUUM DAMAGE MECHANICS

Based on the thermodynamic theory, an orthotropic damage constitutive model was developed to describe the nonlinear mechanical behavior of C/SiC composites. The different nonlinear kinematic and isotropic hardening functions were adopted to describe accurately the damage evolution processes. The damage variables were defined with the damaged modulus and the initial undamaged modulus on energy equivalence principle. The initial orthotropy and damage coupling were presented in the damage yield function. Tensile and in-plane shear loading and unloading tests were performed, and a good agreement between the model and the experimental results was achieved.     

用锌粒和稀硫酸制取氢气的最佳反应条件探索

制取氢气是初中化学的重要实验,用正交设计法和Origin8.0软件生成的曲线图,以硫酸浓度、硫酸体积、锌粒质量为探索因素,探讨出制取氢气的最佳反应条件。     

梯度弹性基础上正交异性薄板的弯曲

基于能量法和变分原理,采用双参数弹性基础模型,研究了梯度弹性基础上正交异性薄板在分布载荷作用下的弯曲问题。首先,根据能量法与变分原理,给出了梯度弹性基础上正交异性薄板的弯曲微分平衡方程,并得到了梯度弹性基础刚度系数 与 的计算表达式;进而,假设 向正应力在厚度方向上均匀分布,推导了弹性基础 向位移衰减函数 的计算式。在算例中,通过将梯度弹性基础退化为均质基础,并与Vlazov模型对比,证明了本文理论的正确性;最后,求解了弹性模量呈幂律分布的梯度基础上薄板的挠度分布,分析了基础上下表层材料弹性模量比 与体积分数指数 对薄板挠度分布的影响。     

Joint nonlinearity and chromatic dispersion pre-compensation for coherent optical orthogonal frequency-division multiplexing systems

This paper introduces a joint nonlinearity and chromatic dispersion pre-compensation method for coherent optical orthogonal frequency-division multiplexing systems. The research results show that this method can reduce the walk-off effect and can therefore equalize the nonlinear impairments effectively. Compared with the only other existing nonlinearity pre-compensation method, the joint nonlinearity and chromatic dispersion pre-compensation method is not only suitable for low-dispersion optical orthogonal frequency-division multiplexing system, but also effective for high-dispersion optical orthogonal frequency-division multiplexing transmission system with higher input power but without optical dispersion compensation. The suggested solution does not increase computation complexity compared with only nonlinearity pre-compensation method. For 40 Gbit/s coherent optical orthogonal frequency-division multiplexing 20×80 km standard single-mode fibre system, the suggested method can improve the nonlinear threshold (for Q > 10 dB) about 2.7, 1.2 and 1.0 dB, and the maximum Q factor about 1.2, 0.4 and 0.3 dB, for 2, 8 and 16 ps/(nm·km) dispersion coefficients.     

微声聚能穿孔装置优化设计及IED安全销毁实验

根据Held引爆理论,利用聚能射流使炸药只燃烧或发生不完全爆轰的特点,设计了微声聚能穿孔装置,并对装药结构进行了正交优化.实验结果表明,装置的消声能力良好,用于销毁模拟爆炸药盒时,装药仅发生低速爆轰,达到了安全销毁简易爆炸装置的目的.     

基于高光谱的番茄叶片过氧化物酶活力测定

用高光谱图像技术结合化学计量学方法,实现了番茄叶片中过氧化物酶(POD)活性的快速检测。利用高光谱图像的光谱特征建立预测模型步骤为：采集高光谱图像数据、获取光谱曲线、光谱数据预处理、提取特征波段、建立POD酶活性预测模型。与预处理方法(SG,SNV,MSC,1-Der和2-Der)相比,DOSC预处理对POD酶活性预测效果最好。研究表明：以443,464,413,410,401,402,426和926 nm这八个特征波段的光谱数据建立的DOSC-SPA-PLS模型对POD酶活性预测结果为R_p=0.935 3,RMSEP=37.80 U·g-1。这说明高光谱图像技术测定番茄叶片POD活性具有可行性,且预测结果令人满意,这为抗氧化酶活性和番茄植株生长状况的动态检测提供了新的方法。     

Functional Time Series Prediction Using Process Neural Network

Time series prediction methods based on conventional neural networks do not take into account the functional relations between the discrete observed values in the time series. This usually causes a low prediction accuracy. To solve this problem, a functional time series prediction model based on a process neural network is proposed in this paper. A Levenberg-Marquardt learning algorithm based on the expansion of the orthonormal basis functions is developed to train the proposed functional time series prediction model. The efficiency of the proposed functional time series prediction model and the corresponding learning algorithm is verified by the prediction of the monthly mean sunspot numbers. The comparative test results indicate that process neural network is a promising tool for functional time series prediction.     

自适应调制光正交频分复用系统的可变长保护间隔研究

利用保护间隔消除由色散引起的符号间干扰(ISI)对于光正交频分复用(OOFMD)系统是必不可少的.延时在不同的传输距离和传输环境下是不同的,采用固定保护长度的方式会硬响系统的功率和频谱利用率.提出了一种先进的自适应循环前缀(ACP)方法.对于多模光纤信道,循环前缀可以根据差分模延时(DMD)与传输距离确定其取值下限来消除ISI的影响.仿真实验验证,采取合适的保护间隔,在多模光纤传输10 Gb/s达1 km时,可达到与采用定长循环前缀时相同的传输性能.