Numerical and experimental optimization of local visco-elastic damping layer placements for design of calm, smart and smooth structures

局部粘弹性阻尼层布置的数值和实验优化，用于设计平静、智能和平滑的结构

基本信息

批准号：
314987946
负责人：
Professor Dr.-Ing. Boris Lohmann
金额：
--
依托单位：
Lehrstuhl für Regelungstechnik
依托单位国家：
德国
项目类别：
Priority Programmes
财政年份：
2016
资助国家：
德国
起止时间：
2015-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/314987946?language=en
关键词：
Numerical experimental optimization local visco

项目摘要

The main aim of this project is to enable efficient simulation, analysis, design optimization and control of calm, smooth and smart structures. In pursuit of this aim, the goal of this proposal is to develop reliable and efficient nonlinear model reduction techniques that avoid expensive training simulations and exploit the underlying physics of mechanical system models. Since both, finding the optimal design as well as finding the optimal actuator placement needed for vibration control require parameter sweeps, parametric dependencies will be included and considered during reduction.The work program includes:(1) Computation of reduced order bases using simulation-free nonlinear model reduction approaches(2) Computation of reduced order bases for different sets of parameters(3) Development of simulation-free hyper-reduction techniques(4) Development of simulation-free hyper-reduction techniques for parametric nonlinear systems(5) Validation of the individual methods against benchmark models of variable size and characteristics.The effectiveness of the results for the design of calm, smooth and smart structures will be illustrated by a case study with a parametric, nonlinear FE model of a structural dynamic system, preferably in interaction with other participants of the SPP 1897.

该项目的主要目的是实现对平静，光滑和智能结构的有效仿真，分析，设计优化和控制。为了实现这一目标，该提案的目标是开发可靠，有效的非线性模型减少技术，以避免昂贵的训练模拟并利用机械系统模型的基本物理。 Since both, finding the optimal design as well as finding the optimal actuator placement needed for vibration control require parameter sweeps, parametric dependencies will be included and considered during reduction.The work program includes:(1) Computation of reduced order bases using simulation-free nonlinear model reduction approaches(2) Computation of reduced order bases for different sets of parameters(3) Development of simulation-free hyper-reduction techniques(4) Development of参数非线性系统的无模拟超还原技术（5）验证各个方法针对可变尺寸和特征的基准模型的验证。案例研究的有效性将通过与其他参与者相互作用的参数，非线性动态系统的参数，非线性FE模型进行案例研究来说明。

项目成果

期刊论文数量（5）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Efficient basis updating for parametric nonlinear model order reduction

参数非线性模型降阶的高效基础更新

DOI：
10.1002/pamm.201800075
发表时间：
2018
期刊：
PAMM
影响因子：
0
作者：
C. H. Meyer;C. Lerch;M. Karamooz Mahdiabadi;D. Rixen
通讯作者：
D. Rixen

Parametric Nonlinear Model Reduction for Structural Dynamics

结构动力学参数化非线性模型简化

DOI：
10.11128/arep.55.a55265
发表时间：
2018
期刊：
影响因子：
0
作者：
C. Lerch;C. Meyer
通讯作者：
C. Meyer

COMPLEX MODAL DERIVATIVES FOR MODEL REDUCTION OF NONCLASSICALLY DAMPED, GEOMETRIC NONLINEAR STRUCTURES

用于非经典阻尼几何非线性结构模型简化的复模态导数

DOI：
10.7712/120119.7240.18679
发表时间：
2019
期刊：
Proceedings of the 7th International Conference on Computational Methods in Structural Dynamics and Earthquake Engineering (COMPDYN 2015)
影响因子：
0
作者：
C. H. Meyer;F. M. Gruber;D. J. Rixen
通讯作者：
D. J. Rixen

2 Model order reduction in mechanical engineering

2 机械工程中的模型降阶

DOI：
10.1515/9783110499001-002
发表时间：
2020
期刊：
Applications
影响因子：
0
作者：
B. Lohmann;T. Bechtold;P. Eberhard;J. Fehr;D. J. Rixen;M. C. Varona;C. Lerch;C. D. Yuan;E. B. Rudnyi;B. Fröhlich;P. Holzwarth;D. Grunert;C. H. Meyer;J. B. Rutzmoser
通讯作者：
J. B. Rutzmoser

SIMULATION-LEAN TRAINING-SETS FOR HYPER-REDUCTION OF PARAMETRIC GEOMETRIC NON-LINEAR STRUCTURES

用于参数几何非线性结构超简化的精益模拟训练集