光纤光栅传感网络的优化研究

光纤光栅传感网络在大型复杂结构健康监测中具有广泛的应用前景,对光纤光栅传感网络优化的研究具有重要的意义。分析了结构健康监测中光纤传感网络优化布局和可靠性的研究现状,对光纤传感网络优化中的传感器优化布局与光纤传感网络可靠性两方面进行研究。通过对结构响应特性研究,提出了对结构静力响应参数监测时,传感器布局的一般规则。将概率计算引入光纤 FBG 传感网络不同拓扑结构,给出了基于不同拓扑结构的光纤传感网络形式及其可靠性数值分析。     

单总线多点测温系统的器件遗漏研究

采用C8051F340为核心,实现一个I/O对多个单总线温度器件DS18B20的测温系统时,发现离主机较远的测温点器件信息未能获取,产生器件遗漏的现象。实验分析发现单总线多点温度测量系统中,总线分布电容和电阻引起单总线上信号衰减,导致离主机较远的温度器件收到的主机指令出现错误。经过大量测试实验,提出改变总线拓扑结构和提升总线电平两种可行方案,有效的解决了多点测温系统中温度器件漏读问题,并且增加了系统单总线长度和温度器件接入数量。     

金属骨架结构对天线罩散射特性的影响*

在轮廓尺寸确定的情况下,天线罩金属骨架的结构划分对其电磁性能起着至关重要的作用。从骨架 拓扑结构的角度出发,研究了不同结构对骨架散射特性的影响。通过构建物理参数一致的规则和非规则金属骨架, 采用感应电流率理论得出骨架不同位置的感应电流分布,最后确定骨架的扩散场影响。结果表明,非规则划分的金 属骨架,由于桁杆在球面上近似为随机分布,远区散射能量被分配到了偏离主辐射方向的旁瓣区域,主辐射方向相 对于规则骨架的影响要小很多。应用非规则划分方法设计的骨架,可以有效提高天线罩的性能。     

Improving the efficiency of large scale topology optimization through on‐the‐fly reduced order model construction

Topology optimization of large scale structures is computationally expensive, notably because of the cost of solving the equilibrium equations at each iteration. Reduced order models by projection, also known as reduced basis models, have been proposed in the past for alleviating this cost. We propose here a new method for coupling reduced basis models with topology optimization to improve the efficiency of topology optimization of large scale structures. The novel approach is based on constructing the reduced basis on the fly, using previously calculated solutions of the equilibrium equations. The reduced basis is thus adaptively constructed and enriched, based on the convergence behavior of the topology optimization. A direct approach and an approach with adjusted sensitivities are described, and their algorithms provided. The approaches are tested and compared on various 2D and 3D minimum compliance topology optimization benchmark problems. Computational cost savings by up to a factor of 12 are demonstrated using the proposed methods. Copyright © 2014 John Wiley & Sons, Ltd.     

A consistent grayscale‐free topology optimization method using the level‐set method and zero‐level boundary tracking mesh

This paper proposes a level‐set based topology optimization method incorporating a boundary tracking mesh generating method and nonlinear programming. Because the boundary tracking mesh is always conformed to the structural boundary, good approximation to the boundary is maintained during optimization; therefore, structural design problems are solved completely without grayscale material. Previously, we introduced the boundary tracking mesh generating method into level‐set based topology optimization and updated the design variables by solving the level‐set equation. In order to adapt our previous method to general structural optimization frameworks, the incorporation of the method with nonlinear programming is investigated in this paper. To successfully incorporate nonlinear programming, the optimization problem is regularized using a double‐well potential. Furthermore, the sensitivities with respect to the design variables are strictly derived to maintain consistency in mathematical programming. We expect the investigation to open up a new class of grayscale‐free topology optimization. The usefulness of the proposed method is demonstrated using several numerical examples targeting two‐dimensional compliant mechanism and metallic waveguide design problems. Copyright © 2014 John Wiley & Sons, Ltd.     

基于密度-敏度层次更新策略的三维连续体结构拓扑优化

针对三维连续体结构静力学拓扑优化中灰度单元过多的问题,以结构的柔度最小为目标函数,运用基于SIMP插值方法建立的静力学拓扑优化数学模型,提出一种密度-敏度层次更新策略.以数控插齿机床身为例,运用该更新策略,采用MATLAB编程进行三维拓扑优化.优化结果中灰度单元明显减少,说明了密度-敏度层次更新策略的合理性.     

纤维树脂混凝土数控机床基础件热动力学拓扑优化研究综述

提出了从改善结构设计,采用新材料的角度出发解决困扰我国数控机床加工精度的难题。在对纤维增强树脂混凝土作为机床基础件的国内外研究现状分析的基础上,提出基于拓扑优化的方法、结合数控机床工作的环境条件,并考虑材料自身力学本构关系来对纤维增强树脂混凝土机床基础件进行优化设计。最后给出了具体解决策略和思路。     

Distributed topology management for wireless multimedia sensor networks: exploiting connectivity and cooperation

In this paper, we propose a distributed topology management algorithm, named T‐Must, which orchestrates coalition formation game between camera and scalar sensor (SS) nodes, for use in wireless multimedia sensor networks. In the proposed solution, connectivity among the peer camera sensor (CS) nodes is maintained, and coverage is ensured between them. Only the scalar data are not sufficient to describe an event in a particular monitored area. In many cases, multimedia data (specifically, video data) are required to provide more precise information about the event. As the CS nodes, which sense and transmit multimedia data, are costlier than the SS nodes, the former are deployed in the monitored area in lesser numbers compared to the latter ones. In case of CS nodes, power consumption due to sensing is also significant, similar to power consumption for the transmission and reception of packets. Therefore, in this work, in order to increase the network lifetime, topology is controlled by forming coalition between the CS and SS nodes. Upon occurrence of an event, the SS nodes send scalar data to their associated CS nodes. If the scalar data received from SS nodes cross a preconfigured threshold, the associated CS node in the coalition starts sensing the event, captures the video data, and forwards the video data toward other coalitions or sink. Copyright © 2014 John Wiley & Sons, Ltd.     

“U”型结构多目标拓扑优化

采用变密度法和折衷规划法建立了结构的多目标拓扑优化模型,并利用分析层级法确定了子目标权重。以"U"型结构为对象进行了多目标拓扑优化设计,得到了结构质量较轻的新结构形式。该方法可应用于结构的优化设计。