Supplementary Material: Algorithmic Conceptual Design of Technical Systems under Uncertainty

This repository provides additional data for the PhD-thesis: "Algorithmic Conceptual Design of Technical Systems under Uncertainty" by Philipp Leise. Each relevant figure in the thesis is marked with an identifier, which links the presented results to a specific JSON-file in this repository. Additionally, it contains a Python 3 based pre-processing package that is used within the powertrain conceptual design use case for all presented models.

All additional data in this repository was curated with great care. Nevertheless, the correctness and consistency with the written version is not guaranteed. All data / software is provided under the 3-Clause BSD license.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3550.2
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/3550.2
Provenance
Creator Leise, Philipp
Publisher TU Darmstadt
Contributor Deutsche Forschungsgemeinschaft; TU Darmstadt
Publication Year 2022
Funding Reference Deutsche Forschungsgemeinschaft info:eu-repo/grantAgreement/DFG/SFB805/TPA9SFB805
Rights 3-Clause BSD License (NewBSD); info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Dataset
Format text/plain; application/zip; application/octet-stream; application/json
Version 1.0
Discipline Other