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1.
For structural systems with both epistemic and aleatory uncertainties, the effect of epistemic uncertainty on failure probability is measured by the variance based sensitivity analysis, which generally needs a “triple-loop” crude sampling procedure to solve and is time consuming. Thus, the Kriging method is employed to avoid the complex sampling procedure and improve the computational efficiency. By utilizing the Kriging predictor model, the conditional expectation of failure probability on the given epistemic uncertainty can be calculated efficiently. Compared with the Sobol’s method, the proposed one can ensure reasonable accuracy of results but with lower computational cost. Three examples are employed to demonstrate the reasonability and efficiency of the proposed method.  相似文献   
2.
基于合理子域概念,构建多重代理模型。多重代理模型在合理子域内采用经典响应面模型,在合理子域外采用经典Kriging模型,能够充分利用两种经典模型各自的优势。多重代理模型能够合理规避经典响应面模型中响应函数采取事先假定形式带来的可靠度评估风险,同时能够有效避免经典Kriging模型中试验点组合爆炸的问题。相比经典响应面模型,多重代理模型所需试验点数量并未增加,计算效率与经典响应面模型大体相同。算例表明,本文方法的计算结果与MCS的计算结果几乎一致,具有较好的计算精度。  相似文献   
3.
In order to produce an accurate noise map of a city or a region, it is necessary to make noise measurements at certain locations and these measurements must be modeled with the most suitable mathematical algorithm. A homogeneous and representative distribution of the noise measurement points is the first key factor in the production of sound noise maps. The second key element is the calculation of the noise values of gridding points based on noise measurement points according to the selected mathematical calculation method and the generation of maps according to these gridding points. In this study, a noise map of the Isparta city center and its periphery was produced using inverse distance weighted (IDW), Kriging and multiquadric interpolation methods with different parameters and four grid resolution. Then, the influence of parameter selection for each method was investigated in themself by taking into account grid resolution, namely 10 ∗ 10 m, 50 ∗ 50 m, 100 ∗ 100 m and 200 ∗ 200 m, and the performance of three method with 50 ∗ 50 m grid resolution were compared with each other. In addition, the noise mapping of the city of Isparta were produced by Kriging method with respect to maximum, average and minimum noise data and they were evaluated by considering the national environmental noise thresholds.  相似文献   
4.
基于滑动Kriging插值的MLPG法求解结构非耦合热应力问题   总被引:3,自引:1,他引:2  
将基于滑动Kriging插值的无网格局部Petrov-Galerkin(MLPG)法用来求解二维结构非耦合热应力问题,首先进行瞬态热传导的求解,然后再通过顺序耦合法将不同时刻节点温度作为附加体力项施加到应力分析中.瞬态温度场和非耦合热应力分析通过加权余量法来离散,同时用Heaviside分段函数作为局部弱形式的权函数.由于滑动Kriging插值构造的形函数满足Kroneckerδ函数的性质,因此方便了本质边界条件的施加.刚度矩阵形成过程中只涉及到边界积分而没有涉及到区域积分,因此可以减少计算工作量,最后通过两个数值算例来验证本文方法的有效性.  相似文献   
5.
Compactly supported autocovariance functions reduce computations needed for estimation and prediction under Gaussian process models, which are commonly used to model spatial and spatial-temporal data. A critical issue in using such models is the loss in statistical efficiency caused when the true autocovariance function is not compactly supported. Theoretical results indicate the value of specifying the local behavior of the process correctly. One way to obtain a compactly supported autocovariance function that has similar local behavior to an autocovariance function K of interest is to multiply K by some smooth compactly supported autocovariance function, which is called covariance tapering. This work extends previous theoretical results showing that covariance tapering has some asymptotic optimality properties as the number of observations in a fixed and bounded domain increases. However, numerical experiments show that for purposes of parameter estimation, covariance tapering often does not work as well as the simple alternative of breaking the observations into blocks and ignoring dependence across blocks. When covariance tapering is used for spatial prediction, predictions near the boundary of the observation domain are affected most. This article proposes an approach to modifying the taper to ameliorate this edge effect. In addition, a justification for a specific approach to carrying out conditional simulations based on tapered covariances is given. Supplementary materials for this article are available online.  相似文献   
6.
锥形薄壁结构的耐撞性设计过程中,其设计变量和噪声因素都具有一定的波动性,都存在不确定性.传统的优化设计方法由于忽略不确定因素的影响,当设计变量产生波动时,往往会引起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,从而导致设计失效.为了考虑参数的不确定影响,论文提出了一种结合试验设计技术、Kriging近似...  相似文献   
7.
结构优化中的建模方法概述   总被引:6,自引:0,他引:6  
隋允康  李善坡 《力学进展》2008,38(2):190-200
建立优化模型是结构优化前的最佳选择. 由于工程实际问题的复杂性, 很难建立显式表 达的模型, 即使少数问题能够建立显式表达的模型, 也难以求解. 因此需要借助近似方法建 立模型, 为了便于求解或提高求解效率, 通常还要对模型进行变换. 文中列举了结构优化中 常用的近似建模方法, 并根据建立近似显式的途径和敏度分析的方法对其进行分类, 详细介 绍了近几年来广泛应用的样本点构造方法, 然后描述了它们在结构优化中的应用和具体实现 过程, 分析了它们的优缺点和应用范围, 指出了结构优化建模方法今后的发展方向.  相似文献   
8.
基于Kriging模型的汽轮机基础动力优化设计   总被引:3,自引:0,他引:3  
随着汽轮机容量的增加和核电站的迅速发展,汽轮机基础动力优化设计已经成为世界前沿的研究课题.本文提出一种基于Kriging模型的有效优化方法,用以求解上述动力优化设计问题.该问题的优化模型是在汽轮机基础框架重量约束条件下,优化汽轮机基础中柱的位置和粱、柱的截面面积,使基础振动的最大幅值最小化.Kriging模型用于建立基础振动的最大动位移幅值与设计变量间的近似函数关系,从而避免了优化迭代中灵敏度分析.开发了动力分析程序,作为黑箱用于动力响应分析.算例结果表明,本文方法在效率和稳定性上优于序列线性规划方法.  相似文献   
9.
This article studies simulation-based optimization with multiple outputs. It assumes that the simulation model has one random objective function and must satisfy given constraints on the other random outputs. It presents a statistical procedure for testing whether a specific input combination (proposed by some optimization heuristic) satisfies the Karush–Kuhn–Tucker (KKT) first-order optimality conditions. The article focuses on “expensive” simulations, which have small sample sizes. The article applies the classic t test to check whether the specific input combination is feasible, and whether any constraints are binding; next, it applies bootstrapping (resampling) to test the estimated gradients in the KKT conditions. The new methodology is applied to three examples, which gives encouraging empirical results.  相似文献   
10.
水体高光谱中的混合效应问题是水体定量遥感中的难点。已有研究表明,仅依赖标量光谱信息难以解决复杂的水体混合光谱问题。广域水体污染物除光谱信息之外,还具有明显的空间分布特性。充分利用其空间维信息,可以作为遥感光谱维信息的有益补充,有利于水体复杂光谱的解混。以巢湖为例,HJ-1A HSI高光谱数据为数据源,辅以水面光谱测量数据,在空间地统计学和遗传算法理论基础上,利用地统计学中的变异函数模拟相邻空间两像元的分布差异,将邻域像元空间变异函数作为遗传算法目标函数的约束条件,建立基于协同克里格遗传算法的湖泊水体高光谱反演混合光谱空间信息分解模型,并对悬浮物浓度反演结果进行检验。结果显示,与常规混合光谱分解模型相比,混合光谱空间信息分解模型对悬浮物浓度的预测值与实测值相关系数为0.82,均方根误差9.25mg·L~(-1),相关系数提高了8.9%,均方根误差下降了2.78 mg·L~(-1),表明该模型对悬浮物浓度具有较强的预测能力。该方法将水体的空间信息与光谱信息有效结合,可以避免水色参数光谱信号弱导致反演结果失真,同时由于高光谱波段多、信息量大,带来信息提取计算量大而复杂等问题,也为复杂水体混合光谱模型的求解和模型反演精度的提高提供了有效途径。  相似文献   
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