AutoCAD的尺寸驱动技术的探讨

AutoCAD是一种人机交互的绘图软件,本身并不具备参数化绘图功能,更不具备尺寸驱动功能,但用户可以利用其所提供的强大的二次开发语言AutoLISP、VisualLISP、VBA开发完全个性化的、性能更为优越的、具有尺寸驱动功能的参数化绘图软件。     

Optimal reduced-order interval observer design for uncertain continuous-time linear systems

This article investigates the reduced-order interval observer (R-IO) design technique for continuous-time linear systems with unknown external disturbances and measurement noises. First, we propose a coupled R-IO structure with more design degrees of freedom, and it can be directly applied not only to solve the difficulty of the error system cooperativity construction but to relax the constraint on the sensor measurement noises. Second, the R-IO existence condition is derived as a set of matrix equations (MEs), and a complete solution, explicitly showing the available design parameters, to such an R-IO is further obtained by solving the MEs. Third, using the solution, an integrated optimization indicator of the R-IO performance is built as the valid selection mechanism of these parameters. Finally, the efficiency of the obtained results is illustrated through a numerical example and a practical example.     

基于流挖掘与切换电量的主动均衡算法研究

以端电压或荷电状态(SOC)为均衡标准的主动均衡算法,在均衡过程中由于难以准确反映单体之间绝对电量的差异,容易导致能量反复流动、降低均衡效率。针对该问题,提出了一种以单体切换电量作为均衡标准的主动均衡控制算法,该算法以单开关电容为核心构造主动均衡算法的硬件拓扑,利用流挖掘技术获取单体间切换电量的概要信息,通过均衡算法智能控制单体间均衡的顺序,进行不同脉冲信号周期、占空比、电容容量、均衡策略的仿真对比实验。结果表明,所提出的均衡算法能准确定位均衡单体、避免能量反复流动,有效地提高了主动均衡算法的运行效率。     

计及主/被动需求响应下基于合作博弈的微网–配电网协调优化调度

随着含高比例可再生能源的并网型微网不断增加,微网与配电网的交互更加紧密。为解决两者作为不同利益主体双方利益分配问题,提出一种计及主/被动需求响应下基于合作博弈的微网-配电网协调优化模型。首先,考虑消费者心理学,建立了基于Logistic模糊函数的电负荷主动需求响应模型。然后,建立了以最优热电比为目标的热负荷被动需求响应模型。最后,微网与配电网作为参与者组成合作联盟,以讨价还价理论为核心,各自利益与联盟利益最大化为目标,协商确定了交互电价与交互功率,用改进的Shapley分配法分配了组成联盟后的额外收益,并通过基于参数自学习的自适应二次变异差分进化算法对其求解。通过算例分析对比可知,用户、微网、配电网三方利益均有所提升,证明了所提方案的合理性。     

Analytical investigation and parametric study of lateral impact behavior of pressurized pipelines and influence of internal pressure

This article provides a combined computational and analytical study to investigate the lateral impact behavior of pressurized pipelines and inspect all the parameters such as the outside diameter and internal pressure and evaluate how they affect such behavior. In this study, quartic polynomial functions are applied to formulate the maximum crushing force (F_max), maximum permanent displacement (W), and absorbed energy (E) of the pressurized pipelines during the impact problem. The effects of the diameter and pressure on F_max, W, and E are therefore illustrated through analyzing these functions. Response surfaces are also plotted based on the generated quartic polynomial functions and the quality (accuracy) of these functions are verified through several techniques.     

Probabilistic crack trajectory analysis by a dimension reduction method

This paper proposes a novel analysis method of stochastic crack trajectory based on a dimension reduction approach. The developed method allows efficiently estimating the statistical moments, probability density function and cumulative distribution function of the crack trajectory for cracked elastic structures considering the randomness of the loads, material properties and crack geometries. First, the traditional dimension reduction method is extended to calculate the first four moments of the crack trajectory, in which the responses are eigenvectors rather than scalars. Then the probability density function and cumulative distribution function of the crack trajectory can be obtained using the maximum entropy principle constrained by the calculated moments. Finally, the simulation of the crack propagation paths is realized by using the scaled boundary finite element method. The proposed method is well validated by four numerical examples performed on varied cracked structures. It is demonstrated that this method outperforms the Monte Carlo simulation in terms of computational efficiency, and in the meanwhile, it has an acceptable computational accuracy.     

Detailed design of a lattice composite fuselage structure by a mixed optimization method

In this article, a procedure for designing a lattice fuselage barrel is developed. It comprises three stages: first, topology optimization of an aircraft fuselage barrel is performed with respect to weight and structural performance to obtain the conceptual design. The interpretation of the optimal result is given to demonstrate the development of this new lattice airframe concept for the fuselage barrel. Subsequently, parametric optimization of the lattice aircraft fuselage barrel is carried out using genetic algorithms on metamodels generated with genetic programming from a 101-point optimal Latin hypercube design of experiments. The optimal design is achieved in terms of weight savings subject to stability, global stiffness and strain requirements, and then verified by the fine mesh finite element simulation of the lattice fuselage barrel. Finally, a practical design of the composite skin complying with the aircraft industry lay-up rules is presented. It is concluded that the mixed optimization method, combining topology optimization with the global metamodel-based approach, allows the problem to be solved with sufficient accuracy and provides the designers with a wealth of information on the structural behaviour of the novel anisogrid composite fuselage design.     

The experimental and numerical impacts of geometrical parameters of conical shock tube on the function,maximum pressure and generative impulses to expose equivalent mass and behavioral equation

One of the methods to investigate the phenomenon of explosion underwater and its impact on the structures is to use the conical shock tube. These tubes produce a lot of pressure using a tiny explosive charge. In this essay, the geometry of the established/manufactured explosive shock tube is demonstrated first and the results of the experiments operating the tube is presented. Then, the explosion of a given amount of explosive charge in the conical shock tube is studied by benefiting the LS‐DYNA code. The numerical simulation is done by Lagrange‐Oiler selected multi‐materials solutions. To ensure the authenticity of the selected method in the software, the results of the stimulated model is compared with the experimental outcomes accordingly, after accrediting the accuracy of the results, the stimulating and scrutinizing the effects of geometrical parameters on the function of explosive shock tubes is proceeded. In this research, the effect of the cone head angel on the produced pressure inside the shock tube is analyzed first. Then, the function of shock tubes with different lengths is checked. Moreover, after changing the scale of the explosive charge and studying the outcome, stating the reasons for changes in each parameter and examining the effect of the relation between the explosive proportion and the water volume inside the shock tube, an equation for the equivalent mass for all sock tubes with different angels is exhibited and the existing theoretical relation is revised. Finally, by examining the pressure and impulses changes in different intervals, an equation is presented to anticipate the pressure and impulses in different shock tubes.     

Lighting Up MicroRNA in Living Cells by the Disassembly of Lock‐Like DNA‐Programmed UCNPs‐AuNPs through the Target Cycling Amplification Strategy

Intracellular microRNAs imaging based on upconversion nanoprobes has great potential in cancer diagnostics and treatments. However, the relatively low detection sensitivity limits their application. Herein, a lock‐like DNA (LLD) generated by a hairpin DNA (H1) hybridizing with a bolt DNA (bDNA) sequence is designed, which is used to program upconversion nanoparticles (UCNPs, NaYF₄@NaYF₄:Yb, Er@NaYF₄) and gold nanoparticles (AuNPs). The upconversion emission is quenched through luminescence resonance energy transfer (LRET). The multiple LLD can be repeatedly opened by one copy of target microRNA under the aid of fuel hairpin DNA strands (H2) to trigger disassembly of AuNPs from the UCNP, resulting in the lighting up of UCNPs with a high detection signal gain. This strategy is verified using microRNA‐21 as model. The expression level of microRNA‐21 in various cells lines can be sensitively measured in vitro, meanwhile cancer cells and normal cells can be easily and accurately distinguished by intracellular microRNA‐21 imaging via the nanoprobes. The detection limit is about 1000 times lower than that of the previously reported upconversion nanoprobes without signal amplification. This is the first time a nonenzymatic signal amplification method has been combined with UCNPs for imaging intracellular microRNAs, which has great potential for cancer diagnosis.     

异质性和时滞作用下神经元网络的共振动力学

利用参数互异的Fitzhugh-Nagumo神经元构建了含耦合时滞的无标度神经元网络模型,通过数值模拟的方法,提出研究参数异质性和耦合时滞影响下神经元网络的共振动力学.结果发现,当耦合项中不含时滞时,适中的参数异质性能够使得神经元网络对外界弱周期信号的响应达到最优,即适中的参数异质性能够诱导神经元网络的共振响应,而且异质性诱导共振对耦合强度具有鲁棒性.更重要的是,耦合时滞对参数异质性作用下神经元网络的共振特性也有着显著性影响.当时滞约为信号周期的整数倍时,神经元网络能够周期性地出现共振现象,即适当的耦合时滞能够诱导神经元网络的多重共振,而且这种现象在异质性参数的适当范围内都能明显出现.