Frequency-Based Substructuring for Virtual Prediction and Uncertainty Quantification of Thin-Walled Vehicle Seat Structures

Author:

Wagner Philipp1,Langer Patrick1,Mäder Marcus2,Marburg Steffen2

Affiliation:

1. BMW Group

2. Technical University of Munich

Abstract

<div class="section abstract"><div class="htmlview paragraph">Dynamic substructuring enables the dynamic behavior analysis of intricate systems. In this context, the precise description of individual subsystem interfaces is crucial. Coupling components through virtual points is suitable, especially when it comes to experimental substructuring. The complex contact situations that arise from joint descriptions in thin-walled structures, like those found in vehicle seats, present a challenging task. This investigation aims to visualize the complex coupling of thin-walled structures by applying the virtual point transformation. Individual subsystems are analyzed through experiments and coupled using the Lagrange multiplier frequency-based substructuring to achieve this goal. For validation purposes, a completely assembled vehicle seat has been investigated. Identification of the connecting elements between the substructures is achieved using decoupling techniques. As a result, the stiffness of the sleeve can be determined through various approaches to decoupling and measurement configurations. However, the transfer functions obtained tend to be overestimated, especially for thin-walled structures. One of the main conclusions highlights the correlation between the number of virtual points and the resulting accuracy of the coupled transfer function results.</div></div>

Publisher

SAE International

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3