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1.
《振动工程学报》2019,(1)
提出了一种改进的平行六面体凸模型,以便更普遍地描述不确定参数之间的相关性。结合逆响应面模型,建立了一种动力学不确定参数区间识别方法。首先,采用改进的平行六面体二维模型描述结构动力学响应频率的不确定域相关分布,再构建其多维模型,并通过仿射坐标变换将其转化为标准参数空间中的区间形式;然后,以此参数空间内的响应频率为输入,结构不确定参数为输出,构建能避免区间扩张问题的完全平方项区间逆响应面模型;进而进行区间运算,识别动力学不确定参数区间;最后,以一个3自由度质量弹簧系统仿真算例和一个螺栓连接框架结构模态实验进行了验证。结果说明:此方法能够有效性地识别结构的动力学不确定参数区间,具有较高的识别精度。 相似文献
2.
传统的基于扩展卡尔曼滤波方法的结构非线性行为识别方法往往要求结构质量以及结构非线性恢复力的参数化模型已知。该研究为解决非线性结构质量,结构参数,非线性恢复力的识别问题,提出了一种两阶段识别方法;为提高计算效率采用遗忘因子扩展卡尔曼滤波算法结合等效线性模型实现结构非线性位置的定位,随后采用无迹卡尔曼滤波算法与恢复力的二重切比雪夫多项式非参数化模型识别结构参数,质量与恢复力。在对一个含形状记忆合金(SMA)阻尼器的多自由度体系的数值模型进行了数值模拟验证的基础上,设计了一个含SMA阻尼器的四自由度框架开展动力试验,验证了所提出方法对结构质量以及恢复力的识别效果。 相似文献
3.
本文研究的是时变动力学结构的参数识别问题。仅利用线性时变结构的多个加速度响应测量数据,本文将区间B样条小波函数作为时变基函数,构造了基于区间B样条小波基函数的时变多变量自回归模型,并推导了时变结构瞬时频率的识别方法。文中利用该法对一个三自由度线性时变结构进行了仿真研究,针对结构瞬时频率周期变化,突变和线性变化三种不同的情况分别进行了瞬时频率识别,并在加速度响应数据中加入了不同信噪比的高斯白噪声以检验识别方法的抗噪能力。最后,文中对一个具有质量时变特性的悬臂梁结构进行了实验研究,实验结果充分说明了区间B样条小波基函数时变多变量自回归模型对时变结构参数识别的可行性,有效性和良好的抗噪能力。 相似文献
4.
本文提出了一种基于代理模型的裂纹识别方法,利用初始样本构造Kriging代理模型,建立裂纹模型参数与结构响应的关系,来代替结构的原有的结构参数与动力响应关系,最大程度地减少了反演优化迭代过程中反复网格剖分和冗繁的有限元计算次数。使用最优设计加点准则进行代理模型修正,以改进初始代理模型的准确性。为了识别连续体结构上的裂纹模型参数,采用随机粒子群优化方法搜索代理模型多极值域下的全局最优解。数值算例对具有裂纹的悬臂梁和板结构进行了裂纹识别。结果表明,该方法能有效地识别裂纹参数,并且具有良好的抗噪性能。此外,初始样本数量对裂纹识别效率及识别结果的影响也进行了讨论。 相似文献
5.
摘要:本文提出了一种基于模型修正的钢管焊接结构焊缝损伤识别方法。利用从发射台骨架试验模型获取的模态参数,选择识别结果中精度较好的模态频率作为模型修正的基准频率。通过对待修正参数的灵敏度分析,运用ANSYS和MATLAB软件对有限元模型进行了修正。以实测模态和计算模态之间的误差建立一个带约束边界非线性最小二乘目标函数,将损伤识别问题转化为优化问题,并采用信赖域方法求解该优化问题。以有限元模型焊接结点单元组弹性模量的降低模拟焊缝损伤,并假定了两种损伤工况,通过对发射台骨架模型的数值仿真及试验研究,结果表明本文提出的损伤识别方法识别效果较为理想,为解决这种复杂焊接结构焊缝损伤识别问题提供了新的思路。 相似文献
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为了定量描述不同应变幅值、频率和磁场下磁流变弹性体(magnetorheological elastomer, MRE)的力学特性,提出了一种新的参数识别方法。采用Bouc-Wen模型表征MRE的非线性滞回特性,通过试验数据验证了模型有效性,基于对模型参数与应变幅值、频率和磁场的耦合关系分析,提出了多工况参数识别方法。将仿真值与试验值之间的误差作为目标函数,利用GA-PSO混合算法对Bouc-Wen模型参数进行识别,选用多种工况的试验数据验证识别结果。结果表明,多工况参数识别方法得到的模型参数表达式在较宽的应变幅值、频率和磁场范围内是准确的,能够反映MRE的力学特性。识别和非识别工况下MRE滞回曲线的仿真值与试验值吻合率高于93%,证明了多工况参数识别方法的有效性,该方法也可用于其他模型的参数识别。 相似文献
8.
《振动工程学报》2017,(6)
为了用传统转子动力学的理论和方法分析支承在电磁轴承上的转子系统动力特性,电磁轴承支承的等效刚度和等效阻尼是必须获知的重要参数。已有研究提出的电磁轴承等效刚度和等效阻尼的识别方法大多都是建立在单自由度模型或刚性转子模型上的。针对支承在电磁轴承上的柔性转子系统,提出了其等效刚度和等效阻尼参数的识别方法。首先,设计了静态力和动态力两种自由度凝聚方法,把柔性转子有限元模型凝聚到所需要的自由度,减少了模型中未知数的数量,并提取凝聚后转子模型中的激励与响应关系;然后建立电磁轴承激励和加配重激励两种情况下的电磁轴承等效刚度和等效阻尼的识别方程;最后,通过一个电磁轴承-柔性转子系统算例验证了识别方法的有效性。算例分析了由于柔性转子振动相位的变化和增加识别方程主自由度数量对识别精度和效果的影响。 相似文献
9.
提出了一种螺栓连接接触面不确定性参数识别方法,首先采用薄层单元对接触面进行参数化,然后根据不确定性识别方法识别薄层单元参数。以四螺栓搭接结构试验模型为研究对象,开展接触面不确定性参数识别方法仿真研究。采用Monte-Carlo方法构造待识别参数真实值样本,代入基准有限元模型中计算获得具有统计意义的仿真试验数据;采用不确定性参数识别方法预测薄层单元参数均值与标准差,仿真结果表明:该方法能够较为准确的模拟接触面法向和切向接触刚度,并显著提高连接结构的建模效率,建立反映真实结构动态性能统计特征的有限元模型。 相似文献
10.
含区间不确定性参数的机翼气动弹性优化 总被引:1,自引:0,他引:1
提出了一种具有区间不确定性的机翼颤振优化方法.采用拉丁超立方方法建立仿真试验表,基于MSC.Nastran平台进行颤振仿真分析.获得仿真数据之后,应用Kriging方法构造了包含区间不确定性参数的机翼颤振分析代理模型,并进行有效性检验.基于建立的代理模型并按照区间序数关系,将不确定性优化目标和约束条件转化为确定性表达形式,从面形成区间不确定性的结构优化设计方法.该方法将区间法优化和代理模型相结合,同时综合有限元仿真和遗传算法的优点,计算效率较高且应用范围较广.以某复杂机翼结构为例进行了含区间不确定性的颤振优化计算.分析结果表明了所提方法的正确性和可行性. 相似文献
11.
The purpose of this study is to propose a robust inverse method for estimating Johnson-Cook material parameters. The method is shown through illustrative examples for two different advanced high strength steel (AHSS) materials (DP980 and TRIP780) using set of data from impact experiments with different velocities. Compared with widely mixed numerical experimental methods, the suggested inverse method has the capability to guarantee the robustness of the obtained parameters by considering uncertainties. The inverse problem is converted into multi-objective optimization problems. Furthermore, in order to improve the performance in efficiency and accuracy, metamodeling techniques and global optimization method are integrated. The final results demonstrate that the experimental and simulation curves are well matched based on identified by the suggested robust inverse method. 相似文献
12.
《工程(英文)》2021,7(8):1076-1086
Combined heat and electricity operation with variable mass flow rates promotes flexibility, economy, and sustainability through synergies between electric power systems (EPSs) and district heating systems (DHSs). Such combined operation presents a highly nonlinear and nonconvex optimization problem, mainly due to the bilinear terms in the heat flow model—that is, the product of the mass flow rate and the nodal temperature. Existing methods, such as nonlinear optimization, generalized Benders decomposition, and convex relaxation, still present challenges in achieving a satisfactory performance in terms of solution quality and computational efficiency. To resolve this problem, we herein first reformulate the district heating network model through an equivalent transformation and variable substitution. The reformulated model has only one set of nonconvex constraints with reduced bilinear terms, and the remaining constraints are linear. Such a reformulation not only ensures optimality, but also accelerates the solving process. To relax the remaining bilinear constraints, we then apply McCormick envelopes and obtain an objective lower bound of the reformulated model. To improve the quality of the McCormick relaxation, we employ a piecewise McCormick technique that partitions the domain of one of the variables of the bilinear terms into several disjoint regions in order to derive strengthened lower and upper bounds of the partitioned variables. We propose a heuristic tightening method to further constrict the strengthened bounds derived from the piecewise McCormick technique and recover a nearby feasible solution. Case studies show that, compared with the interior point method and the method implemented in a global bilinear solver, the proposed tightening McCormick method quickly solves the heat–electricity operation problem with an acceptable feasibility check and optimality. 相似文献
13.
M. Moghaddam W. C. Chew M. Oristaglio 《International journal of imaging systems and technology》1991,3(4):318-333
Two methods of solving the nonlinear two-dimensional electromagnetic inverse scattering problem in the time domain are considered. These are the Born iterative method and the method originally proposed by Tarantola for the seismic reflection inverse problems. The former is based on Born-type iterations on an integral equation, whereby at each iteration the problem is linearized, and its solution is found via a regularized optimization. The latter also uses an iterative method to solve the nonlinear system of equations. Although it linearizes the problem at each stage as well, no optimization is carried out at each iteration; rather the problem as a whole is posed as a (regularized) optimization. Each method is described briefly and its computational complexity is analyzed. Tarantola's method is shown to have a lower numerical complexity compared to the Born iterative method for each iteration, but in the examples considered, required more iterations to converge. Both methods perform well when inverting a smooth profile; however, the Born iterative method gave better results in resolving localized point scatterers. 相似文献
14.
Enying Li 《International Journal of Material Forming》2013,6(1):103-114
This paper deals with the variable blank holder force in sheet metal forming in order to reduce springback effects after forming. A structural risk minimization principle-based metamodeling technique, least square support vector regression (LSSVR) method is applied to optimization. In order to improve the efficiency, an intelligent sampling strategy proposed by Wang et al. (Mater Des 30:1468–1479, 2009a) is integrated with the LSSVR. Therefore, the proposed strategies establish an adaptive metamodeling optimization system. The optimization procedure can be carried out automatically. To valid the flexibility of this system, the presented method is used to optimize the variable blank force parameters of the models from NUMISHEET’96 and torsion rail model. Compared with other popular metamodel-based optimization methods, the test results demonstrate the potential capability for nonlinear engineering problems. 相似文献
15.
提出一种求解带有区间不确定性参数的瞬态热传导问题的数值方法。利用Taylor展开和区间分析技术,建立温度区间量与不确定参数区间量的确定性关系,然后采用时域分段自适应算法和有限元技术,递推计算温度场的区间半径及区间中值,以估算温度场不确定区间的上下界。自适应计算可根据时间步长的变化,使计算在各离散时段达到给定的计算精度,从而保证整个时域的计算精度。在算例分析中,通过与组合方法、概率方法的比较,说明了所提方法的有效性,并探讨了Taylor展开阶次与计算步长对计算结果的影响。 相似文献
16.
偶应力反问题参数识别 总被引:2,自引:0,他引:2
利用有限元技术和最小二乘原理,建立了便于敏度分析的偶应力反问题数值求解模型,并采用高斯牛顿方法进行求解。模型考虑了材料的非均质、各向异性等因素,并在计及测量误差的情形下,对其进行了数值验证,得到了令人满意的结果。此外,还通过反问题的求解,对偶应力本构等效的网格材料的等效本构参数进行了估算,并给出相应算例。 相似文献
17.
This paper presents an efficient metamodel building technique for solving collaborative optimization (CO) based on high fidelity models. The proposed method is based on a metamodeling concept, that is designed to simultaneously utilize computationally efficient (low fidelity) and expensive (high fidelity) models in an optimization process. A distinctive feature of the method is the utilization of interaction between low and high fidelity models in the construction of high quality metamodels both at the discipline level and system level of the CO. The low fidelity model is tuned in such a way that it approaches the same level of accuracy as the high fidelity model; but at the same time remains computational inexpensive. In this process, the tuned low fidelity models are used in the discipline level optimization process. In the system level, to handle the computational cost of the equality constraints in CO, model management strategy along with metamodeling technique are used. To determine the fidelity of metamodels, the predictive estimation of model fidelity method is applied. The developed method is demonstrated on a 2D Airfoil design problem, involving tightly coupled high fidelity structural and aerodynamic models. The results obtained show that the proposed method significantly reduces computational cost, and improves the convergence rate for solving the multidisciplinary optimization problem based on high fidelity models. 相似文献
18.
To solve chemical process dynamic optimization problems, a differential evolution algorithm integrated with adaptive scheduling mutation strategy (ASDE) is proposed. According to the evolution feedback information, ASDE, with adaptive control parameters, adopts the round-robin scheduling algorithm to adaptively schedule different mutation strategies. By employing an adaptive mutation strategy and control parameters, the real-time optimal control parameters and mutation strategy are obtained to improve the optimization performance. The performance of ASDE is evaluated using a suite of 14 benchmark functions. The results demonstrate that ASDE performs better than four conventional differential evolution (DE) algorithm variants with different mutation strategies, and that the whole performance of ASDE is equivalent to a self-adaptive DE algorithm variant and better than five conventional DE algorithm variants. Furthermore, ASDE was applied to solve a typical dynamic optimization problem of a chemical process. The obtained results indicate that ASDE is a feasible and competitive optimizer for this kind of problem. 相似文献
19.
在导弹飞行过程中由于工况环境剧烈变化,其整流罩蒙皮温度和热载荷急剧变化,这将对导弹的作战性能产生重大影响。为保证弹载电子设备的设计满足精度要求,提出了一种基于流固耦合非定常数值模拟的设计计算方法。针对弹载电子设备在高速运行过程中的瞬态热载荷是一个典型流固耦合问题,通过求解流体与固体表面的热传递方程,计算获得流场内各点的能量分段函数。运用MATLAB软件计算拟合出流场每块结构微元对应的瞬态功率曲线分段函数,采用将功率曲线分段函数加载至Fluent的热仿真分析方法,直观预测整个弹载电子设备的工作温度及其环境温度的瞬态变化。通过对某型号反辐射导引头及其弹载电子设备气动加热问题进行具体计算分析,获得了该型号装备在各个时刻流场内导引头及其弹载电子设备的瞬态温度空间分布,所得结果与实际有较好的吻合度。结果表明该方法对同类电子设备的瞬态热分析和相应散热设计具有一定参考作用。 相似文献
20.
Benjamin Wilson David Cappelleri Timothy W. Simpson Mary Frecker 《Optimization and Engineering》2001,2(1):31-50
In this paper we present an efficient and effective method of using surrogate approximations to explore the design space and capture the Pareto frontier during multiobjective optimization. The method employs design of experiments and metamodeling techniques (e.g., response surfaces and kriging models) to sample the design space, construct global approximations from the sample data, and quickly explore the design space to obtain the Pareto frontier without specifying weights for the objectives or using any optimization. To demonstrate the method, two mathematical example problems are presented. The results indicate that the proposed method is effective at capturing convex and concave Pareto frontiers even when discontinuities are present. After validating the method on the two mathematical examples, a design application involving the multiobjective optimization of a piezoelectric bimorph grasper is presented. The method facilitates multiobjective optimization by enabling us to efficiently and effectively obtain the Pareto frontier and identify candidate designs for the given design requirements. 相似文献