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Application of Physical and Mathematical Surrogate Models to Optimize the Crashworthiness of Vehicle Front Structures

Lualdi, Pietro and Schäffer, Michael and Sturm, Ralf (2021) Application of Physical and Mathematical Surrogate Models to Optimize the Crashworthiness of Vehicle Front Structures. NAFEMS World Congress 2021, 2021-10-25 - 2021-10-29, Salzburg (Online Conference).

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Abstract

Exploiting the full potential of lightweight materials and weight reduction techniques while preserving the high safety standards of a vehicle still remains one of the major challenges in the field of crashworthiness design. Such a problem, already challenging from a qualitative point of view, is also hard to be solved numerically due to the computational costs related to crash simulations of full FEM vehicle models. This factor represents also a real limitation in the field of optimization of vehicle crash structures. It is especially challenging, if load cases are investigated, which additionally involve complex impactor models such as deformable impact barriers, which are required for the certification of vehicles. Only by the use of simplification strategies and physical surrogate models the computational costs can be reduced in a way to make crashworthiness problems for cars suitable for structural optimization. Additionally, the application of mathematical surrogate models can efficiently improve the possibility to find suitable structural solutions in the respect of given design requirements compared to conventional optimization approaches. In this paper, the Urban Modular Vehicle (UMV), i.e. a battery-driven modular car concept developed by the German Aerospace Center (DLR) is investigated to improve its crash performance in the event of a front crash using physical and mathematical surrogate models. The NCAP - Mobile Progressive Deformable Barrier (MPDB) crash load case is considered as frontal crash scenario. A physical surrogate model will be used to replace the detailed crushing behavior of the MPDB model by means of kinematic descriptions. The finite element vehicle model is also simplified in a way that structural components which are assumed to only bear elastic deformations are replaced by kinematic numerical representations describing the substituted structures. Finally, a design optimization strategy based on mathematical surrogate models is successfully applied to optimize the absorption properties of the crash relevant vehicle structures. For the optimization appropriate constraint functions are included to ensure that any applied structural change does not undermine the safety requirements of the passengers. Only with these applied simplification strategies optimization can be applied to such a complex crash load case.

Item URL in elib:https://elib.dlr.de/145581/
Document Type:Conference or Workshop Item (Keynote)
Title:Application of Physical and Mathematical Surrogate Models to Optimize the Crashworthiness of Vehicle Front Structures
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lualdi, PietroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Schäffer, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sturm, RalfUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:27 October 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:crashworthiness design, design optimization, surrogate models, structural optimization
Event Title:NAFEMS World Congress 2021
Event Location:Salzburg (Online Conference)
Event Type:international Conference
Event Start Date:25 October 2021
Event End Date:29 October 2021
Organizer:NAFEMS
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - NGC Fahrzeugstruktur II (old)
Location: Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts > Vehicle Architectures and Lightweight Design Concepts
Deposited By: Lualdi, Pietro
Deposited On:18 Nov 2021 13:33
Last Modified:24 Apr 2024 20:44

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