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Deep-Learning for Enhanced Engineering: Evaluation of Crash Performance for Novel Vehicle Concepts

Lualdi, Pietro and Sokolaki, Sara and Sturm, Ralf and Pozzetti, Andrea and Mc Grath, Paul and von Tschammer, Thomas (2023) Deep-Learning for Enhanced Engineering: Evaluation of Crash Performance for Novel Vehicle Concepts. NAFEMS World Congress 2023, 2023-05-15 - 2023-05-18, Tampa, USA.

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Official URL: https://www.nafems.org/publications/resource_center/nwc23/0324-extendedabstract/


Item URL in elib:https://elib.dlr.de/195177/
Document Type:Conference or Workshop Item (Speech)
Title:Deep-Learning for Enhanced Engineering: Evaluation of Crash Performance for Novel Vehicle Concepts
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Lualdi, PietroUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sokolaki, SaraUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Sturm, RalfUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pozzetti, AndreaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mc Grath, PaulUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
von Tschammer, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Deep-Learning, crash-box, Vehicle Concepts, Crash optimization, 3D deep learning
Event Title:NAFEMS World Congress 2023
Event Location:Tampa, USA
Event Type:international Conference
Event Start Date:15 May 2023
Event End Date:18 May 2023
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 - FFAE - Fahrzeugkonzepte, Fahrzeugstruktur, Antriebsstrang und Energiemanagement
Location: Stuttgart
Institutes and Institutions:Institute of Vehicle Concepts
Deposited By: Lualdi, Pietro
Deposited On:15 Jun 2023 13:05
Last Modified:24 Apr 2024 20:55

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