共查询到19条相似文献,搜索用时 62 毫秒
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冷水机组的常规设计方法通常基于建筑物的峰值冷负荷,而冷负荷在一年中仅在非常小的一部分时间内达到其峰值水平,这就导致了冷水机组的选型过大(即冷水机组的额定制冷量过大),从而导致很显著的能源浪费。提出了一种基于冷水机组的鲁棒优化设计方法,以优化冷水机组的选型和设计。该设计方法考虑了输入参数的不确定性和冷水机组设备运行可靠性。该方法中,蒙特卡罗模拟(Monte Carlo simulation)用于获取建筑冷负荷的分布,马尔可夫方法 (Markov method)用于获取冷水机组运行状态的概率分布。香港的一幢建筑被用来作为个案研究,以展示和验证该鲁棒设计方法的过程;与此同时,和传统设计方法、基于不确定性的优化设计方法进行比较。结果表明,考虑到输入参数的不确定性和设备的可靠性,按照该设计方法的冷水机组可以在各种可能的冷负荷条件下保持相对较高的效率运行,并且可以实现最小年总费用(包括运行成本,设备资金成本和可用性风险成本)。 相似文献
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鲁棒优化设计方法及其在结构动力优化中的应用 总被引:1,自引:0,他引:1
总结了鲁棒优化设计的研究成果,介绍并评述工程鲁棒优化设计方法,以及结构动力鲁棒优化设计方法。列举了鲁棒结构优化设计的多个实例,与传统优化设计方法相比,显示了其前瞻性,使结构具有更好的安全、稳定性能。 相似文献
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罗振璧 《世界制造技术与装备市场》2004,(5):79-82
随着6σ法的普通采用迫切需要解决的问题是,指导6σ设计、过程实施的方法和辅助6σ法运用的丰富工具与基于微机的软件系统。本文重点介绍6σ的方法学,包括:6σ设计工具DMADV、6σ过程问题求解、预防与改进工具DMAIC及其支持软件——MINITAB系统。 相似文献
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为了改善鲁棒协同优化设计中约束函数鲁棒性评估的精确度,提出一种混合不确定性鲁棒协同优化设计方法.针对区间分布不确定性优化问题,该方法通过灵敏度分析方法修正子学科中的鲁棒约束函数,使不确定性因素不仅包括各输入变量的不确定性,还包括鲁棒协同优化求解过程中共享设计变量不一致带来的模型不确定性.数值算例的优化结果表明,混合不确定性鲁棒协同优化方法显著改善了约束函数鲁棒性评估的精确性.将该方法应用到一个卫星结构优化设计问题中,并采用自适应模拟退火算法求解,验证了该方法对复杂工程系统鲁棒优化设计问题的适用性. 相似文献
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基于最终失效强度的层合板结构的鲁棒优化分析 总被引:5,自引:2,他引:3
采用有限元方法分析复合材料层合板结构的最终失效强度,并以此对结构进行优化和鲁棒优化分析。层合板结构同时承受面内和面外载荷,每个单层板考虑基体失效和纤维断裂两种失效模式。当某一单层失效后采用比率退化法计算结构新的刚度,然后重新进行结构分析,直到求得结构的最终失效强度。以纤维方向角和层合板厚度作为设计变量,最终失效强度为目标,对结构进行优化。在此基础上,考虑了层合板结构的鲁棒优化分析。 相似文献
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基于6σ的稳健优化设计在薄板冲压成形中的应用 总被引:14,自引:5,他引:9
薄板冲压成形过程中,其设计变量和噪声因素都具有一定的波动,都存在不确定性。传统的优化设计由于忽略不确定因素的影响,当设计变量产生波动时,往往会导致设计最优目标超出约束界限或者目标函数对设计变量的波动极为敏感,从而使设计失效。采用自主开发的STLMesher软件建立了模具的参数化模型,在此基础上将试验设计、能代表实际冲压过程精度较高的近似模型和蒙特卡罗模拟技术相结合,构造了基于产品质量工程的6σ稳健优化设计方法。该方法在设计初始阶段就考虑了各种不确定因素的影响,因此在获得近似最优解的同时能够提高设计变量的可靠性和目标函数的稳健性,大幅提高产品的质量。在优化过程中调用的是近似模型,能大大减少调用有限元模型的次数,提高优化效率。算例表明,该方法具有较高的精度和较强的工程实用性。 相似文献
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Y. Q. Li Z. S. Cui X. Y. Ruan D. J. Zhang 《The International Journal of Advanced Manufacturing Technology》2006,27(7-8):631-637
In the design phase of an aircraft engine, integrated design and accurate performance simulations have become essential. Predictive
integrated system modeling is now a pressing issue in the design of aircraft engines. For computationally-intensive analysis,
components may be distributed across heterogeneous computing architectures and operating systems. However, the traditional
distributed systems are not sufficiently robust or flexible to support the integration and distributed simulation. Designers
and engineers may face these difficulties when designing aero engine systems that need to evolve and change rapidly. Grid
computing may be introduced to mitigate these problems. This paper develops a system, which serves as a scientific co-laboratory.
It provides a flexible environment for defining, modifying, and simulating component-based aero gas turbine models, and enables
users to customize and extend the framework to add new functionality or adapt simulation behavior as required. A distributed
gas turbine engine model is developed and simulated to illustrate the use of the framework. 相似文献
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Xu Huanwei Li Wei Li Mufeng Hu Cong Zhang Suichuan Wang Xin 《Journal of Mechanical Science and Technology》2018,32(3):1195-1207
Journal of Mechanical Science and Technology - The performance of complex mechanical systems often degrades over time primarily due to time-varying uncertainties. Improving the design of such... 相似文献
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In the reliability designing procedure of the vehicle components, when the distribution styles of the random variables are unknown or non-normal distribution, the result evaluated contains great error or even is wrong if the reliability value R is larger than 1 by using the existent method, in which case the formula is necessary to be revised. This is obviously inconvenient for programming. Combining reliability-based optimization theory, robust designing method and reliability based sensitivity analysis, a new method for reliability robust designing is proposed. Therefore the influence level of the designing parameters’ changing to the reliability of vehicle components can be obtained. The reliability sensitivity with respect to design parameters is viewed as a sub-objective function in the multi-objective optimization problem satisfying reliability constraints. Given the first four moments of basic random variables, a fourth-moment technique and the proposed optimization procedure can obtain reliability-based robust design of automobile components with non-normal distribution parameters accurately and quickly. By using the proposed method, the distribution style of the random parameters is relaxed. Therefore it is much closer to the actual reliability problems. The numerical examples indicate the following: (1) The reliability value obtained by the robust method proposed increases (>0.04%) comparing to the value obtained by the ordinary optimization algorithm; (2) The absolute value of reliability-based sensitivity decreases (>0.01%), and the robustness of the products’ quality is improved accordingly. Utilizing the reliability-based optimization and robust design method in the reliability designing procedure reduces the manufacture cost and provides the theoretical basis for the reliability and robust design of the vehicle components. 相似文献
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Chen Jianjiang Xiao Renbin Zhong Yifang 《The International Journal of Advanced Manufacturing Technology》2005,26(4):301-309
A multidisciplinary robust optimization design framework, concurrent subsystem robust design optimization, is proposed to obtain robust optimum solution in the large-scaled and coupled system. In this framework, response surfaces in the form of artificial neural networks provide information pertaining to system performance characteristics, and individual subsystems engage in performing robust optimization design in parallel while communicating with the system level. This optimization approach incorporates uncertainty analysis and generates a global robust optimum solution in an iterative fashion. Two applications are considered, and the results demonstrate that the approach yields a reasonable robust optimum solution, and it is a potential and efficient multidisciplinary robust optimization approach . 相似文献