Concept exploration of spacecraft separation structures using evolutionary optimization

Visa enkel post
dc.contributor.authorArnebro Söderberg, Erik
dc.contributor.departmentChalmers tekniska högskola / Institutionen för mekanik och maritima vetenskapersv
dc.contributor.examinerWahde, Mattias
dc.contributor.supervisorWahde, Mattias
dc.date.accessioned2022-07-04T14:17:21Z
dc.date.available2022-07-04T14:17:21Z
dc.date.issued2022sv
dc.date.submitted2020
dc.description.abstractConventional concept exploration tends to be narrowly focused around previous solutions, especially in an industry with as much emphasis on reliability as aerospace engineering. A drawback of this approach is the likelihood of high performing design concepts existing outside that narrow design domain. In this thesis project a tool is developed which aims to augment the concept exploration phase by autonomously searching a broad range of feasible solutions. The search converges to the non-dominated set by means of multi-objective evolutionary optimization, wherein the structures are optimized for lower mass and higher natural frequency. The candidate solutions are modelled, meshed, and structurally analysed using open-source software. The tool was tested on two different types of structures, namely launch vehicle adapters (LVA) and satellite dispenser structures. LVA design solutions with both higher natural frequency (up to 4% increase) and reduced mass were discovered. The results show that the developed method is able to converge to a set of high performing solutions, and present these to the user as input for subsequent design decisions.sv
dc.identifier.coursecodeMMSX30sv
dc.identifier.urihttps://hdl.handle.net/20.500.12380/305051
dc.language.isoengsv
dc.relation.ispartofseries2022:30sv
dc.setspec.uppsokTechnology
dc.subjectMulti-objective evolutionary optimizationsv
dc.subjectautomated finite element analysissv
dc.subjectaerospace engineeringsv
dc.titleConcept exploration of spacecraft separation structures using evolutionary optimizationsv
dc.type.degreeExamensarbete för masterexamensv
dc.type.uppsokH
local.programmeComplex adaptive systems (MPCAS), MSc
Ladda ner
Original bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
2022-30 Erik Arnebro Söderberg.pdf
Storlek:
9.43 MB
Format:
Adobe Portable Document Format
Beskrivning:
Master Thesis
Ladda ner
License bundle
Visar 1 - 1 av 1
Bild (thumbnail)
Namn:
license.txt
Storlek:
1.51 KB
Format:
Item-specific license agreed upon to submission
Beskrivning:
Ladda ner
Samling
Examensarbeten för masterexamen