张弦梁结构的优化设计方法研究

利用神经网络的强大映射功能,采用拟满应力法分析杆件截面变量的离散性.同时与遗传算法相结合而构成的一种新型组合优化方法,经平面张弦梁结构算例优化分析表明,计算速度快捷、有效可靠且能够满足工程精度要求.     

连续体结构拓扑优化探讨与应用

以连续体结构为研究对象,对拓扑优化的插值方法、求解算法等进行了简单的探讨,将变密度法和优化准则法成功的应用到连续体结构的拓扑优化设计中.应用变密度法建立结构的拓扑优化数学模型减少了设计变量的数量;采用最优化准则法进行求解提高了计算效率.最后计算并讨论了双工况梁和MBB梁的拓扑结构模拟,取得了较理想的拓扑结果,达到了增强刚度、减轻结构质量的目的.     

基于GESO的钢筋混凝土梁拓扑优化方法研究

为克服仅将钢筋混凝土作为单一材质进行拓扑优化的弊端,提出了GESO算法对分离式钢筋混凝土模型进行拓扑优化,并对拓扑解进行了简化,分别验证了二维矩形梁与三维T梁的钢筋布置方案。研究结果表明：与经典ESO算法相比,GESO算法效率更高,删除率、对称性及美观性均更优;基于GESO算法的二维矩形梁与三维T梁初始拓扑优化构型,经简化后可得到钢筋布置形式,优化后的矩形梁和T梁的位移、应力变化幅度较小;但不同荷载、位移边界条件下,拓扑优化后的钢筋布置形式存在显著差异,实际配筋设计中应考虑结构受荷形式与边界情况,获得配筋设计的最优方案。     

结合梁斜拉桥索力优化方法的研究

本文拟采用有限元程序ANSYS。其方法是以斜拉索的二次张拉索力为设计变量,斜拉索和结合梁的应力以及支座反力为控制变量,将成桥后主梁的最小弯曲应变能作为目标函数,通过一阶优化算法,确定最优索力,即结合梁斜拉桥施工时的合理张拉索力。     

T形梁的组合板——梁桥荷载横向分布系数研究

根据现浇桥面板的T形组合简支板一梁桥结构特点,采用平面模型（偏心压力法、刚接板（梁）法）和空间模型（有限单元法）计算该组合简支板——梁桥荷载横向分布系数。运用通用结构分析软件ANSYS将该组合板——梁桥离散成空间有限元,分析该桥荷载横向分布系数变化规律,并将刚接板（梁）法及ANASYS解法计算结果与实测结果进行对比研究。研究结果表明：偏心压力法不适于计算该类组合板梁桥荷载横向分布系数;刚接板（梁）法全桥各截面采用同一横向分布系数并不精确,而ANSYS计算结果能与实测值较好的吻合;同时提出了适合该类桥型的横向分布系数计算方法,并建议了更加准确的计算方法。     

流溪河林场大桥弯桥直做的设计分析

通过流溪河大桥弯桥直做的上部结构受力分析,对直梁曲线桥与直线桥做受力比较,提出其内外梁的荷载横向分布系数存在较大的差异,并分析了梁的弦弧矢高及桥宽对横向分布的影响,对类似桥型的设计有借鉴的作用。     

某体育馆弦支穹顶结构形态分析

本文为确定弦支穹顶结构放样状态下结构的几何构形及索的预应力张拉控制值,以某体育馆屋盖为例,采用ANSYS的APDL语言对此弦支穹顶结构进行形态分析。并针对分析过程中出现的计算效率差和收敛困难问题提出了有效的改进措施,供工程技术人员参考     

先张法斜梁张拉阶段梁体应力试验研究

为得到力筋放张后斜梁的真实应力状态,进行了现场张拉应力测试。由于斜梁理论具有一定的局限性,故借助ANSYS软件对其进行建模得到应力精确值,并将三者的计算结果进行比较分析,借此对结构的安全性进行评价,以期为先张斜梁的张拉应力分析提供了有效的方法和途径。     

退火演化算法在舰艇舱室优化布置设计中的应用

将演化法引入到模拟退火中,将二者结合形成了退火演化算法,介绍了退火演化算法结构,并将该算法用于某型舰艇指挥舱室优化布置设计中,加快了算法的收敛速度。     

梁拱组合体系桥梁吊杆张拉方案合理性研究

以梁拱组合体系桥梁为研究对象,通过有限元MIDAS/CIVIL软件,模拟采用支架法施工的桥梁体系转化过程,通过研究不同吊杆张拉方案下结构过程内力的变化情况,探讨了不同吊杆张拉方案的合理性。研究结论如下:有限元的分析计算中,系梁脱架体系转换过程可在吊杆第一次张拉完毕后采用一次脱架考虑;结构施工过程中的应力在吊杆第一次张拉期间变化较小,结构应力的变化受吊杆第二次张拉影响较大;对称交替张拉吊杆方式可使张拉过程中结构的应力分布更均匀,有利于保证结构的安全;在梁拱组合体系桥梁的吊杆张拉施工前,对吊杆初张拉的目标值进行验算及优化是有益的。     

张弦梁结构的优化设计方法研究

利用神经网络的强大映射功能,采用拟满应力法分析杆件截面变量的离散性,同时与遗传算法相结合而构成的一种新型组合优化方法．经平面张弦粱结构算例优化分析表明,计算速度快捷、有效可靠且能够满足工程精度要求。     

基于修正巴兰金理论的结构拓扑优化方法

为了探索具有工程实用性的结构优化新方法,应用渐进结构优化方法(ESO)对结构进行基于应力的拓扑优化.通过对巴兰金强度理论的修正,用单轴拉压极限应力比和单元主应力衡量单元应力水平,建立了一种基于修正巴兰金理论的渐进结构优化方法.算例表明,该方法可用于二维和三维结构的拓扑优化.     

多目标模糊优化问题的神经网络解法

基于函数联接神经网络，提出了一种解决工程结构多目标模糊优化问题的新算法。该算法以设计人员对目标函数值的满意程度作学习样本，采用神经网络取代传统的隶属度函数，从而较好地解决了隶属函数的描述问题。在解决多目标模糊优化问题中，该算法较传统算法具有更大的灵活性。     

Shape optimization of bow bulbs with minimum wave-making resistance based on Rankine source method

The hull form optimization concerns one of the most important applications of wave-making resistance theories. In recent years, scholars can determine the hull form by using the optimization method based on the computational fluid dynamics (CFD) and other mathematical techniques. In this paper, the hull form optimization method based on the Rankine source method and nonlinear programming (NLP) is discussed; in the optimization process, a hull form modification function is introduced to represent an improved hull surface and to generate a new smooth hull surface by changing its frame lines and bow stem profiles under the prescribed design constraints. Numerical example is given for a practical container hull form. Finally, shape optimization of bow bulls is shown for non-protruding and protruding bow bulls. This study presents a simplified and practical design method to the select frame lines of bow bulls.     

多种群果蝇优化算法求解自动化仓库拣选作业调度问题

针对自动化仓库的拣选作业调度问题，提出了一种多种群果蝇优化算法。采用随机键编码方式，利用味道浓度判定值的大小次序来映射调度解。通过同时学习子种群的局部最优和全局最优个体，实现对果蝇个体的更新计算。为了避免陷入局部最优，采用了一种果蝇个体变异机制。计算结果显示，多种群果蝇优化算法在计算精度和收敛效率方面要好于基本果蝇优化算法，并且搜索过程能够有效跳出局部最优。     

基于分解策略的计算网格资源分配优化

提出多种Agent分别代表用户、服务提供者、资源提供者相互协作解决网格资源分配优化问题.采用双层市场模型解决网格系统资源的最优调度,即网格用户Agent与网格服务Agent相互协作的服务市场,以及网格服务Agent与网格资源Agent所组成的资源市场.为了降低计算复杂性,将分配优化问题分解为两个子问题,分别在资源市场和服务市场中解决.在双层市场中两个子问题所获得的优化值即为主问题的优化值.     

Application of Convex Optimization to Queuing Systems

On the basis of the queuing theory, a nonlinear optimal load allocation model is proposed. A novel transformafion method for the optimization variables is also presented, and the constraints are properly combined so as to make this model convex. The interior-point method for convex optimization is presented as an efficient computational tool. Finally, this model is evaluated by a real example,from which the following conclusions are drawn： the optimum result can ensure the full utilization of machines and the smallest amount of WIP （work-in-progress） in queuing systems; the interior-point method needs a few iterations with significant computational savings; other performance measures of queuing systems can also be optimized in a similar way.     

Structural Optimization of Hatch Cover Based on Bi-directional Evolutionary Structure Optimization and Surrogate Model Method

Weight reduction has attracted much attention among ship designers and ship owners. In the present work, based on an improved bi-directional evolutionary structural optimization (BESO) method and surrogate model method, we propose a hybrid optimization method for the structural design optimization of beam-plate structures, which covers three optimization levels: dimension optimization, topology optimization and section optimization. The objective of the proposed optimization method is to minimize the weight of design object under a group of constraints. The kernel optimization procedure (KOP) uses BESO to obtain the optimal topology from a ground structure. To deal with beam-plate structures, the traditional BESO method is improved by using cubic box as the unit cell instead of solid unit to construct periodic lattice structure. In the first optimization level, a series of ground structures are generated based on different dimensional parameter combinations, the KOP is performed to all the ground structures, the response surface model of optimal objective values and dimension parameters is created, and then the optimal dimension parameters can be obtained. In the second optimization level, the optimal topology is obtained by using the KOP according to the optimal dimension parameters. In the third optimization level, response surface method (RSM) is used to determine the section parameters. The proposed method is applied to a hatch cover structure design. The locations and shapes of all the structural members are determined from an oversized ground structure. The results show that the proposed method leads to a greater weight saving, compared with the original design and genetic algorithm (GA) based optimization results.     

桁架结构拓扑优化的微粒群算法

为了解决有应力和位移约束的桁架结构的拓扑优化问题,将微粒群算法用于桁架结构拓扑优化.用罚函数法将应力和位移约束下的结构优化问题转化为无约束优化问题,用微粒群算法迭代计算.为了证明此方法的可行性,给出了2个具有应力和位移约束的桁架结构拓扑优化的算例.计算结果表明,微粒群算法与现有算法获得的桁架结构拓扑优化结果一致.     

Improvement of collaborative optimization

This paper presents a new improved collaborative optimization (CO) model that provides solution capabilities for multiobjective multidisciplinary optimization problems. Reasons that cause computational difficulties in CO algorithm are firstly analyzed. Then a new system level objective function is advised to minimize relative value between the collaborative objective function and single disciplinary objective function. And it eliminates the effect of dimensions and magnitude orders among objectives. A new s...