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Nonintrusive parametric NVH study of a vehicle body structure
Mechanics Based Design of Structures and Machines, Volume: 51, Issue: 11, Pages: 1 - 26
Swansea University Author:
Rubén Sevilla
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DOI (Published version): 10.1080/15397734.2022.2098140
Abstract
A reduced order model technique is presented to perform the parametric Noise, Vibration and Harshness (NVH) study of a vehicle body-in-white (BIW) structure characterized by material and shape design variables. The ultimate goal is to develop a methodology which allows to efficiently explore the var...
Published in: | Mechanics Based Design of Structures and Machines |
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ISSN: | 1539-7734 1539-7742 |
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Informa UK Limited
2022
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The ultimate goal is to develop a methodology which allows to efficiently explore the variation in the design space of the BIW static and dynamic global stiffnesses, such that the NVH performance can be evaluated already in the preliminary phase of the development process. The proposed technique is based on the proper generalized decomposition (PGD) method. The obtained PGD solution presents an explicit dependency on the introduced design variables, which allows to obtain solutions in 0.1 milliseconds and therefore opens the door to fast optimization studies and real-time visualizations of the results in a pre-defined range of parameters. The method is nonintrusive, such that an interaction with commercial software is possible. A parametrized finite element (FE) model of the BIW is built by means of the ANSA CAE preprocessor software, which allows to account for material and geometric parameters. A comparison between the parametric NVH solutions and the full-order FE simulations is performed using the MSC-Nastran software, to validate the accuracy of the proposed method. In addition, an optimization study is presented to find the optimal materials and shape properties with respect to the NVH performance. 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v2 60646 2022-07-27 Nonintrusive parametric NVH study of a vehicle body structure b542c87f1b891262844e95a682f045b6 0000-0002-0061-6214 Rubén Sevilla Rubén Sevilla true false 2022-07-27 CIVL A reduced order model technique is presented to perform the parametric Noise, Vibration and Harshness (NVH) study of a vehicle body-in-white (BIW) structure characterized by material and shape design variables. The ultimate goal is to develop a methodology which allows to efficiently explore the variation in the design space of the BIW static and dynamic global stiffnesses, such that the NVH performance can be evaluated already in the preliminary phase of the development process. The proposed technique is based on the proper generalized decomposition (PGD) method. The obtained PGD solution presents an explicit dependency on the introduced design variables, which allows to obtain solutions in 0.1 milliseconds and therefore opens the door to fast optimization studies and real-time visualizations of the results in a pre-defined range of parameters. The method is nonintrusive, such that an interaction with commercial software is possible. A parametrized finite element (FE) model of the BIW is built by means of the ANSA CAE preprocessor software, which allows to account for material and geometric parameters. A comparison between the parametric NVH solutions and the full-order FE simulations is performed using the MSC-Nastran software, to validate the accuracy of the proposed method. In addition, an optimization study is presented to find the optimal materials and shape properties with respect to the NVH performance. Finally, in order to support the designers in the decision-making process, a graphical interface app is developed which allows to visualize in real-time how changes in the design variables affect pre-defined quantities of interest. Journal Article Mechanics Based Design of Structures and Machines 51 11 1 26 Informa UK Limited 1539-7734 1539-7742 Proper generalized decomposition, BiW, shape optimization, real-time, parametric modal analysis, inertia relief, NVH 15 7 2022 2022-07-15 10.1080/15397734.2022.2098140 COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University SU Library paid the OA fee (TA Institutional Deal) This project is part of the Marie Skłodowska-Curie ITN-EJD ProTechTion funded by the European Union Horizon 2020 research and innovation program with Grant Number 764636. The work of Fabiola Cavaliere, Sergio Zlotnik and Pedro Díez is partially supported by the MCIN/AEI/10.13039/501100011033, Spain (Grant Number: PID2020-113463RB-C32, PID2020-113463RB-C33 and CEX2018-000797-S). Ruben Sevilla also acknowledges the support of the Engineering and Physical Sciences Research Council (Grant Number: EP/T009071/1). 2023-09-04T17:59:26.2371484 2022-07-27T12:18:36.3446025 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering F. Cavaliere 0000-0002-4148-7594 1 S. Zlotnik 0000-0001-9674-8950 2 Rubén Sevilla 0000-0002-0061-6214 3 X. Larrayoz 4 P. Díez 0000-0001-6464-6407 5 60646__24766__ae075ef078ff47b281e1d39848013472.pdf 60646.pdf 2022-07-27T12:23:31.7799693 Output 5325344 application/pdf Version of Record true Copyright: 2022 The Author(s). Distributed under the terms of a Creative Commons Attribution 4.0 License (CC BY 4.0). true eng http://creativecommons.org/licenses/by/4.0/ |
title |
Nonintrusive parametric NVH study of a vehicle body structure |
spellingShingle |
Nonintrusive parametric NVH study of a vehicle body structure Rubén Sevilla |
title_short |
Nonintrusive parametric NVH study of a vehicle body structure |
title_full |
Nonintrusive parametric NVH study of a vehicle body structure |
title_fullStr |
Nonintrusive parametric NVH study of a vehicle body structure |
title_full_unstemmed |
Nonintrusive parametric NVH study of a vehicle body structure |
title_sort |
Nonintrusive parametric NVH study of a vehicle body structure |
author_id_str_mv |
b542c87f1b891262844e95a682f045b6 |
author_id_fullname_str_mv |
b542c87f1b891262844e95a682f045b6_***_Rubén Sevilla |
author |
Rubén Sevilla |
author2 |
F. Cavaliere S. Zlotnik Rubén Sevilla X. Larrayoz P. Díez |
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Journal article |
container_title |
Mechanics Based Design of Structures and Machines |
container_volume |
51 |
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11 |
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2022 |
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Swansea University |
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1539-7734 1539-7742 |
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10.1080/15397734.2022.2098140 |
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Informa UK Limited |
college_str |
Faculty of Science and Engineering |
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School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering |
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description |
A reduced order model technique is presented to perform the parametric Noise, Vibration and Harshness (NVH) study of a vehicle body-in-white (BIW) structure characterized by material and shape design variables. The ultimate goal is to develop a methodology which allows to efficiently explore the variation in the design space of the BIW static and dynamic global stiffnesses, such that the NVH performance can be evaluated already in the preliminary phase of the development process. The proposed technique is based on the proper generalized decomposition (PGD) method. The obtained PGD solution presents an explicit dependency on the introduced design variables, which allows to obtain solutions in 0.1 milliseconds and therefore opens the door to fast optimization studies and real-time visualizations of the results in a pre-defined range of parameters. The method is nonintrusive, such that an interaction with commercial software is possible. A parametrized finite element (FE) model of the BIW is built by means of the ANSA CAE preprocessor software, which allows to account for material and geometric parameters. A comparison between the parametric NVH solutions and the full-order FE simulations is performed using the MSC-Nastran software, to validate the accuracy of the proposed method. In addition, an optimization study is presented to find the optimal materials and shape properties with respect to the NVH performance. Finally, in order to support the designers in the decision-making process, a graphical interface app is developed which allows to visualize in real-time how changes in the design variables affect pre-defined quantities of interest. |
published_date |
2022-07-15T17:59:27Z |
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1776127068558327808 |
score |
11.021648 |