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Optimisation of Vehicle Crashworthiness using Gaussian Process Regression to Improve the Successive Response Surface Method Approach

Grealy, Daniel (2023) Optimisation of Vehicle Crashworthiness using Gaussian Process Regression to Improve the Successive Response Surface Method Approach. Bachelor's, University of Limerick.

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Official URL: https://gitlab.dlr.de/cs-opt-masterthesis/srsm/-/blob/main/doc/DanielGrealy_BachelorsThesis.pdf


Item URL in elib:https://elib.dlr.de/195179/
Document Type:Thesis (Bachelor's)
Title:Optimisation of Vehicle Crashworthiness using Gaussian Process Regression to Improve the Successive Response Surface Method Approach
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Grealy, DanielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:May 2023
Refereed publication:Yes
Open Access:No
Status:Published
Keywords:Crash-box, SRSM, GPR, ROI, crashworthiness optimization
Institution:University of Limerick
Department:School of Engineering - Mechanical Engineering
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:07 Jun 2023 14:26
Last Modified:06 Nov 2023 10:44

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