房屋结构设计中的建筑结构设计优化

在建筑物的选择与布置上兼顾其实用性与安全性,同时兼顾其经济性与艺术性,以满足其多元化的需求。住宅的建筑结构构造与很多方面有关,既要确保住宅建造的总体品质,又要通过最优方案来减少住宅中的钢筋,减少住宅造价,取得较好的经济效益。笔者结合工程实例,对该建筑结构进行优化设计,以期为同类建筑提供借鉴。

基于组件的空间任务仿真系统体系结构优化问题研究

为了优化系统的体系结构，使空间任务仿真系统（space operation simulation system，SOSS）适应军事需求和仿真环境的变化，提出了基于组件的SOSS体系结构概念模型，并采用可达矩阵定量描述。通过定义组件贡献度和组件依赖度的概念，定量选择需优化的结构，采用矩阵变换方法，实现SOSS构建中增加、删除和合并等组件操作的优化。

渐进结构优化在离心机吊篮结构设计中的应用

根据离心机吊篮的最大外形尺寸、连接边界、载荷以及离心机最大加速度值等参数确定了结构拓扑优化的设计区域、载荷条件和边界条件,采用ANSYS软件,以整体质量最小为目标,根据吊篮实际工作载荷和要求施加拓扑优化约束条件,建立吊篮拓扑优化模型,采用基于应力水平删除材料的渐进结构优化方法进行优化设计。优化后吊篮结构满足约束条件,质量显著减少。

基于CAE软件对汽车结构件的轻量化优化设计

汽车工业是国民经济中的重要产业。近年来,汽车工业围绕节能减排的目标开发了许多新技术。为了适应汽车公司在缩短开发周期,节省开发成本和提高产品质量方面的作用,国内的汽车结构设计和研究已逐渐从传统的体验设计发展到使用CAE技术的模拟分析阶段,并且对组件进行了优化和设计,以减轻重量并提高产品性能。

产业结构调整背景下高职院校优化专业结构的实践与思考

以柳州职业技术学院为例，探讨产业结构调整背景下高职院校优化专业结构的实践，并对构建高职院校专业结构调整长效机制进行思考。

基于ETABS软件的框架-核心筒结构优化研究

有限元分析软件ETABS应用程序接口可以对ETABS的前处理和后处理进行二次外部程序开发，包括结构建模、内力分析、构件设计、结果输出等。数学优化软件LINGO的功能十分强大，是求解优化模型的最佳选择。可以用于求解非线性规划，也可以用于一些线性和非线性方程组的求解等。利用ETABS和LINGO软件编写了框架-核心筒结构整体优化程序，以主体结构的总造价为目标函数，将位移约束和结构构件强度约束放在同一层次上进行整体优化。算例分析表明，程序对框架一核心筒结构具有很好的优化效果，并且收敛速度较快，对工程应用具有较好的参考价值。

中国—东盟贸易结构不平衡及对策研究

近年来我国与东盟的贸易总额保持快速增长,但商品结构、地区结构、区域结构、方式结构、主体结构等方面存在诸多不平衡现象。外贸结构的失衡,导致我国的出口商品科技含量低,进出口市场的集中度过高,影响我国对外贸易增长方式的转变和外贸产业结构的调整升级。为此,必须优化我国与东盟的贸易结构,增加各自的竞争优势。

西部贫困地区可持续发展的障碍与对策研究

实施可持续发展战略是贫困地区走出困境的必然选择。自然条件恶劣,自然灾害频繁,人口增长速度过快,人力素质偏低,生态环境恶化,产业结构单一而脆弱是制约西部贫困地区可持续发展的主要障碍;加快制度创新,严格控制人口数量,着力提高人口素质,综合治理生态环境,发展特色经济,调整和优化产业结构是实施可持续发展战略的基本对策。

Optimal Structural Design of the Midship of a VLCC Based on the Strategy Integrating SVM and GA

In this paper a hybrid process of modeling and optimization, which integrates a support vector machine （SVM） and genetic algorithm （GA）, was introduced to reduce the high time cost in structural optimization of ships. SVM, which is rooted in statistical learning theory and an approximate implementation of the method of structural risk minimization, can provide a good generalization performance in metamodeling the input-output relationship of real problems and consequently cuts down on high time cost in the analysis of real problems, such as FEM analysis. The GA, as a powerful optimization technique, possesses remarkable advantages for the problems that can hardly be optimized with common gradient-based optimization methods, which makes it suitable for optimizing models built by SVM. Based on the SVM-GA strategy, optimization of structural scantlings in the midship of a very large crude carrier （VLCC） ship was carried out according to the direct strength assessment method in common structural rules （CSR）, which eventually demonstrates the high efficiency of SVM-GA in optimizing the ship structural scantlings under heavy computational complexity. The time cost of this optimization with SVM-GA has been sharply reduced, many more loops have been processed within a small amount of time and the design has been improved remarkably.

Shape optimization of plate with static and dynamic constraints via virtual laminated element

The virtual laminated element method (VLEM) can resolve structural shap e optimization problems with a new method. According to the characteristics of V LEM , only some characterized layer thickness values need be defined as design v ariables instead of boundary node coordinates or some other parameters determini ng the system boundary. One of the important features of this method is that it is not necessary to regenerate the FE(finite element) grid during the optimizati on process so as to avoid optimization failures resulting from some distortion grid elements. Th e thickness distribution in thin plate optimization problems in other studies be fore is of stepped shape. However, in this paper, a continuous thickness distrib ution can be obtained after optimization using VLEM, and is more reasonable. Fur thermore, an approximate reanalysis method named ″behavior model technique″ ca n be used to reduce the amount of structural reanalysis. Some typical examples are offered to prove the effectiveness and practicality of the proposed method.

Molecular reconstruction model based on structure oriented lumping and group contribution methods

Molecular management is a promising technology to face challenges in the refining industry, such as more stringent requirements for product oil and heavier crude oil, and to maximize the value of every molecule in petroleum fractions. To achieve molecular management in refining processes, a novel model that is based on structure oriented lumping(SOL) and group contribution(GC) methods was proposed in this study. SOL method was applied to describe a petroleum fraction with structural increments, and GC method aimed to estimate molecular properties. The latter was achieved by associating rules between SOL structural increments and GC structures. A three-step reconstruction algorithm was developed to build a representative set of molecules from partial analytical data. First, structural distribution parameters were optimized with several properties. Then, a molecular library was created by using the optimized parameters. In the final step, maximum information entropy(MIE) method was applied to obtain a molecular fraction. Two industrial samples were used to validate the method, and the simulation results of the feedstock properties agreed well with the experimental data.

Connecting parameters optimization on unsymmetrical twin-tower structure linked by sky-bridge

Based on a simplified 3-DOF model of twin-tower structure linked by a sky-bridge,the frequency response functions,the displacement power spectral density(PSD)functions,and the time-averaged total vibration energy were derived,by assuming the white noise as the earthquake excitation.The effects of connecting parameters,such as linking stiffness ratio and linking damping ratio,on the structural vibration responses were then studied,and the optimal connecting parameters were obtained to minimize the vibration energy of either the independent monomer tower or the integral structure.The influences of sky-bridge elevation position on the optimal connecting parameters were also discussed.Finally,the distribution characteristics of the top displacement PSD and the structural responses,excited by El Centro,Taft and artificial waves,were compared in both frequency and time domain.It is found that the connecting parameters at either end of connection interactively affect the responses of the towers.The optimal connecting parameters can greatly improve the damping connections on their seismic reduction effectiveness,but are unable to reduce the seismic responses of the towers to the best extent simultaneously.It is also indicated that the optimal connecting parameters derived from the simplified 3-DOF model are applicable for two multi-story structures linked by a sky-bridge with dampers.The seismic reduction effectiveness obtained varies from 0.3 to 1.0 with different sky-bridge mass ratio.The displacement responses of the example structures are reduced by approximately 22% with sky-bridge connections.

Analysis on Capital Structure Theory and Enterprise Capital Structure Optimization

Enterprise capital structure means the various resources, combination and relationships of enterprise raising capital as well as means the short or long debts, shareholders＇ rights and interest, and the proportional relationships among constituting items. Capitals raised by enterprise from different ways constitute the capital sum. Because of changing enterprise operation, the capital structure is also various and it cannot be in a fixed proportion. Therefore, we need to optimize the capital structure of state-owned enterprises so as to reach the rational resources allocation and make the national economy develop soundly and rapidly. How to optimize it？ This is a big problem that we have to face. Debt-to-equity swap at the moment is only the transition for correcting capital structure of state-owned enterprises. Decreasing stocks owned by state is the inevitable choice for optimizing enterprise stock right.

Performance improvement of car body structure in 100% frontal impact

During the 100%front impact,all the parts of front car will participate in the course;the crash stiffness of bodywork will also reach the peak.During the crash,rational structure of bodywork can resist the distortion,absorb more energy and get better mode of distortion and low deceleration rate,so as to meet the performance of crash safety.The paper mainly makes optimization analysis based on the problems of front side rails,subframe,firewall,and optimization cases are confirmed which can decrease the intrusion and deceleration rate of the whole car.The structure of bodywork after optimization can meet the performance of crash safety.

Optimizing forestry industrial structure based on the framework of rationalization,advancement and ecologicalization

Under the target of the sustainable development,optimization of forestry industrial structure contains rationalization and advancement of forestry industrial structure in the traditional sense,as well as ecologicalization of forestry industrial structure.The connotation of optimization of forestry industrial structure is analyzed at first,and then the paper chooses the typical evaluation indexes from the three sides of rationalization,advancement and ecologicalization to evaluate the current situation of the regional forestry industrial structure.With the aid of the theory of fuzzy mathematics and information entropy,the paper establishes a fuzzy evaluation model which is based on information entropy for optimization of forestry industrial structure,and the evaluation model is applied in the study for the current situation of forestry industrial structure from 2000 to 2006 in Hubei province.The results show that the grade of forestry industrial structure is bad basically during the research,of which the overall level of forestry industrial structure of Hubei province is poor,the degree of utilizing forest resource is lower,and ecological environment in the forest region has been damaged to some extent.On this basis,the author presents the countermeasure to promote the optimization of forestry industrial structure.

Research on Optimizing Computer Network Structure based on Genetic Algorithm and Modified Convex Optimization Theory

In this paper, we report in-depth analysis and research on the optimizing computer network structure based on genetic algorithm and modified convex optimization theory. Machine learning method has been widely used in the background and one of its core problems is to solve the optimization problem. Unlike traditional batch algorithm, stochastic gradient descent algorithm in each iteration calculation, the optimization of a single sample point only losses could greatly reduce the memory overhead. The experiment illustrates the feasibility of our proposed approach.

Quantitative analysis on the contribution of industrial structure change to sustainable development: a case study of Fujian Province

Development and sustainability are the core connotation of sustainable development. Sustainability of economic development and the provision capability of resources and environment are two aspects of sustainable development. The former ones are the foundation of the latter ones. Industrial structure has a close relationship with sustainable development. The optimization of industrial structure is the important base for the sustainable development of modern economy and also the important ways of the sustainable utilization of resources and environment. The intensive growth effect of industrial structure change has the meaning of sustainable development. This paper reviews and explains the theory on the contribution of industrial structure change to sustainable development, builds the calculation model through introducing the coeff icient of industrial structure change, makes an empirical study on the contribution of industrial structure change to sustainable development in Fujian, and puts forward ways and policies of optimizing industrial structure both among industries and inside the industry in the process of industrial structure change.

Analysis of Real estate investment structure optimization based on investment sources

As the investment structure of economic structure has a direct impact on the industrial structure, economic structure and thus become the focus of research. However, due to the impact of the traditional planned economy system, for a long time, our focus on the expansion of investment scale, optimize investment structure and neglect, leading to low efficiency of investment, private investment is difficult to effectively start, optimizing economic structure adjustment difficulties and other problems. The paper has got a conclusion that the target of optimization of real estate investment and ways based on the status of investment of real estate, and integration analysis for real estate investment sources.

Research on the Multidimensional Constraint Stability of Bridge Structure Modeling based on Optimization Model

In this paper, we conduct research on the multidimensional constraint stability of bridge structure modeling based on the optimization model. The current internal and the external research results to the truss web structure, the high internode the aspect ratio and the stiffness of the middle truss brace of the truss web, deffection of composite beams of the impact of stress is a very important problem in the design of the bridge. Structural health monitoring is the use of the field of the non-destructive sensing technology, including the structural response, including structural system characteristics analysis, to achieve the purpose of monitoring structural damage or degradation. Under this basis, this paper proposes the new idea on the modelling and simulates the performance.

Rural land use spatial allocation in the semiarid loess hilly area in China:Using a Particle Swarm Optimization model equipped with multi-objective optimization techniques

Semiarid loess hilly areas in China are enduring a series of environmental conflicts between urban expansion,cultivated land conservation,soil erosion and water shortage,and require land use allocation to reconcile these environmental conflicts.We argue that the optimized spatial allocation of rural land use can be achieved by a Particle Swarm Optimization (PSO) model in conjunction with multi-objective optimization techniques.Our study focuses on Yuzhong County of Gangsu Province in China,a typical catchment on the Loess Plateau,and proposes a land use spatial optimization model.The model maximizes land use suitability and spatial compactness based on a variety of constraints,e.g.optimal land use structure and restrictive areas,and employs an improved PSO algorithm equipped with a determinant initialization method and a dynamic weighted aggregation (DWA) method to obtain the optimized land use spatial pattern.The results suggest that (1) approximately 4% of land use should be reallocated and these changes would alleviate the environmental conflicts in the study area;(2) the major reshuffling is slope farmland and newly added construction and cultivated land,whereas the unchanged areas are largely forests and basic farmland;and (3) the PSO is capable of optimizing rural land use allocation,and the determinant initialization method and DWA can improve the performance of the PSO.