龙榆生创办《词学季刊》的宗旨与举措

现代词学家龙榆生创办《词学季刊》,将其定位成以词学研究为主的专业性期刊,在确定作者人选范围、确立与读者取得沟通方式的编辑思想主导下,推出＂创刊号＂,实现他的编辑意旨;而后着力搞好编辑与作者间的协作,以利于期刊的持续发展;为读者着想,争取读者参与到期刊编辑工作中来。《词学季刊》的出版,为词学研究期刊编辑史上留下了风采的一笔。     

新疆泽普县农村中小学布局调整评价分析及建议

新疆泽普县农村中小学布局调整按照＂县办中学、乡办小学,中心村办幼儿园＂的总体要求,初步实现了学校规模办学及城乡教育一体化。本文对新疆泽普县农村中小学布局调整的整体状况进行了实地调研,并在此基础上对布局调整后取得的成效及存在的问题进行了具体的评价分析,提出了改进新疆泽普县农村中小学布局调整的建议。     

横向运动板干扰聚能射流的数值模拟

基于有限元分析软件ANSYS/LS-DYNA和LS-PREPOST,用ALE算法对射流垂直侵彻横向运动防护板的过程进行模拟分析。防护板在不同速度下干扰射流时,对防护板和后效板上的开坑形状进行分析,并计算后效板上的最终侵深及射流轴线上的速度降,得到射流在横向防护板作用下后效板侵深及射流轴线上的速度降随防护板速度变化的曲线。结果表明,防护板抗射流侵彻能力随防护板速度的增加而增强,尤其是防护板横向速度在0～100m/s增加时,抗射流侵彻能力增强较为明显。     

弹药集装单元储存静力学有限元分析

以简单的六面体结构为基础,以“铝板-聚氨酯泡沫材料-铝板”复合板材为弹药集装单元的主体材料,结合弹药集装单元的承载能力要求,建立弹药集装单元的基本模型。通过其在储存状态下的静力学有限元分析,了解3种不同堆垛情况下,弹药集装单元的应力与应变情况,为进一步研究弹药集装单元结构强度提供理论依据。     

元器件性能退化信息的系统性能可靠性评估

性能可靠性方法为解决现代工程实际中的高可靠、长寿命、小子样产品的可靠性建模分析提供了途径.目前的性能可靠性研究主要是针对元器件开展的,对系统性能可靠性进行研究时通常需要将其看作一个元器件,需要得到系统的性能退化数据,在某些情况下,得到系统的性能退化数据比较困难.实际上,由于元器件的性能退化导致系统性能的变化,因而可以利...     

加权主成分TOPSIS法的防空导弹型号论证决策

针对防空导弹型号论证决策问题,讨论了影响型号论证的主要因素,建立了基于加权主成分TOPSIS法的防空导弹型号论证决策模型,实现了对新研制型号方案的综合评价和分析.在此基础上,通过实例验证了方法的实用性与有效性.论文的研究成果为防空导弹型号论证提供了辅助决策方法和智力支持.     

MF-CFI: A fused evaluation index for camouflage patterns based on human visual perception

The evaluation index of camouflage patterns is important in the field of military application. It is the goal that researchers have always pursued to make the computable evaluation indicators more in line with the human visual mechanism. In order to make the evaluation method more computationally intelligent, a Multi-Feature Camouflage Fused Index (MF-CFI) is proposed based on the comparison of grayscale, color and texture features between the target and the background. In order to verify the effectiveness of the proposed index, eye movement experiments are conducted to compare the proposed index with existing indexes including Universal Image Quality Index (UIQI), Camouflage Similarity Index (CSI) and Structural Similarity (SSIM). Twenty-four different simulated targets are designed in a grassland background, 28 observers participate in the experiment and record the eye movement data during the observation process. The results show that the highest Pearson correlation coefficient is observed between MF-CFI and the eye movement data, both in the designed digital camouflage patterns and large-spot camouflage patterns. Since MF-CFI is more in line with the detection law of camouflage targets in human visual perception, the proposed index can be used for the comparison and parameter optimization of camouflage design algorithms.     

Real-time prediction of projectile penetration to laminates by training machine learning models withfinite element solver as the trainer

Studies on ballistic penetration to laminates is complicated, but important for design effective protection of structures. Experimental means of study is expensive and can often be dangerous. Numerical simu-lation has been an excellent supplement, but the computation is time-consuming. Main aim of this thesis was to develop and test an effective tool for real-time prediction of projectile penetrations to laminates by training a neural network and a decision tree regression model. A large number of finite element models were developed;the residual velocities of projectiles fromfinite element simulations were used as the target data and processed to produce sufficient number of training samples. Study focused on steel 4340tpolyurea laminates with various configurations. Four different 3D shapes of the projectiles were modeled and used in the training. The trained neural network and decision tree model was tested using independently generated test samples using finite element models. The predicted projectile velocity values using the trained machine learning models are then compared with thefinite element simulation to verify the effectiveness of the models. Additionally, both models were trained using a published experimental data of projectile impacts to predict residual velocity of projectiles for the unseen samples. Performance of both the models was evaluated and compared. Models trained with Finite element simulation data samples were found capable to give more accurate predication, compared to the models trained with experimental data, becausefinite element modeling can generate much larger training set, and thus finite element solvers can serve as an excellent teacher. This study also showed that neural network model performs better with small experimental dataset compared to decision tree regression model.     

Size dependent free vibration analysis of functionally graded piezoelectric micro/nano shell based on modified couple stress theory with considering thickness stretching effect

Higher-order shear and normal deformation theory is used in this paper to account thickness stretching effect for free vibration analysis of the cylindrical micro/nano shell subjected to an applied voltage and uniform temperature rising. Size dependency is included in governing equations based on the modified couple stress theory. Hamilton's principle is used to derive governing equations of the cylindrical micro/nano shell. Solution procedure is developed using Navier technique for simply-supported boundary conditions. The numerical results are presented to investigate the effect of significant parameters such as some dimensionless geometric parameters, material properties, applied voltages and temperature rising on the free vibration responses.     

A novel formulation of material nonlinear analysis in structural mechanics

This article demonstrates a novel approach for material nonlinear analysis. This analysis procedure eliminates tedious and lengthy step by step incremental and then iterative procedure adopted classically and gives direct results in the linear as well as in nonlinear range of the material behavior. Use of elastic moduli is eliminated. Instead, stress and strain functions are used as the material input in the analysis procedure. These stress and strain functions are directly derived from the stress-strain behavior of the material by the method of curve fitting. This way, the whole stress-strain diagram is utilized in the analysis which naturally exposes the response of structure when loading is in nonlinear range of the material behavior. It is found that it is an excellent computational procedure adopted so far for material nonlinear analysis which gives very accurate results, easy to adopt and simple in calculations. The method eliminates all types of linearity assumptions in basic derivations of equations and hence, eliminates all types of possibility of errors in the analysis procedure as well. As it is required to know stress distribution in the structural body by proper modelling and structural idealization, the proposed analysis approach can be regarded as stress-based analysis procedure. Basic problems such as uniaxial problem, beam bending, and torsion problems are solved. It is found that approach is very suitable for solving the problems of fracture mechanics. Energy release rate for plate with center crack and double cantilever beam specimen is also evaluated. The approach solves the fracture problem with relative ease in strength of material style calculations. For all problems, results are compared with the classical displacement-based liner theory.