Optimization in engineering problems

but.committeedoc. Ing. Luděk Nechvátal, Ph.D. (předseda) prof. RNDr. Josef Šlapal, CSc. (místopředseda) doc. Ing. Petr Tomášek, Ph.D. (člen) doc. Ing. Jiří Šremr, Ph.D. (člen) prof. RNDr. Miloslav Druckmüller, CSc. (člen) Prof. Bruno Rubino, Ph.D. (člen) Prof. Corrado Lattanzio, Ph.D. (člen) Gennaro Ciampa, Ph.D. (člen)cs
but.defenceThe student presented their thesis, followed by the supervisor—who was present in person—delivering their evaluation. Subsequently, the secretary read the opponent's review aloud. The student then responded to the opponent's questions in a satisfactory manner.cs
but.jazykangličtina (English)
but.programApplied and Interdisciplinary Mathematicscs
but.resultpráce byla úspěšně obhájenacs
dc.contributor.advisorMrázková, Evaen
dc.contributor.authorLamichhane, Dipeshen
dc.contributor.refereePopela, Pavelen
dc.date.created2025cs
dc.description.abstractThis thesis addresses the application of optimization methods to engineering design problems, focusing on structural systems. It reviews linear programming (LP), nonlinear programming (NLP), and multi-objective optimization techniques. Four case studies are solved: (1) a scaffolding support system (LP); (2) a beam design problem (NLP); (3) a truss design problem (NLP); and (4) a water-tank column design with competing objectives (minimize mass, maximize natural frequency). For each problem, equilibrium equations and constraints are derived from mechanics, and the optimization model is implemented in MATLAB and Python. The results yield optimal designs under given constraints, with engineering insights drawn from load distribution, weight reduction, and vibration analysis. All computational results (numerical from python and graphical from MATLAB) agree, validating the formulations. Overall, the thesis demonstrates how combining optimization algorithms with mechanics principles can yield effective structural designs.en
dc.description.abstractThis thesis addresses the application of optimization methods to engineering design problems, focusing on structural systems. It reviews linear programming (LP), nonlinear programming (NLP), and multi-objective optimization techniques. Four case studies are solved: (1) a scaffolding support system (LP); (2) a beam design problem (NLP); (3) a truss design problem (NLP); and (4) a water-tank column design with competing objectives (minimize mass, maximize natural frequency). For each problem, equilibrium equations and constraints are derived from mechanics, and the optimization model is implemented in MATLAB and Python. The results yield optimal designs under given constraints, with engineering insights drawn from load distribution, weight reduction, and vibration analysis. All computational results (numerical from python and graphical from MATLAB) agree, validating the formulations. Overall, the thesis demonstrates how combining optimization algorithms with mechanics principles can yield effective structural designs.cs
dc.description.markAcs
dc.identifier.citationLAMICHHANE, D. Optimization in engineering problems [online]. Brno: Vysoké učení technické v Brně. Fakulta strojního inženýrství. 2025.cs
dc.identifier.other165664cs
dc.identifier.urihttp://hdl.handle.net/11012/253539
dc.language.isoencs
dc.publisherVysoké učení technické v Brně. Fakulta strojního inženýrstvícs
dc.rightsStandardní licenční smlouva - přístup k plnému textu bez omezenícs
dc.subjectOptimizationen
dc.subjectlinear programmingen
dc.subjectnonlinear programmingen
dc.subjectmulti-objective optimizationen
dc.subjectstructural design.en
dc.subjectOptimizationcs
dc.subjectlinear programmingcs
dc.subjectnonlinear programmingcs
dc.subjectmulti-objective optimizationcs
dc.subjectstructural design.cs
dc.titleOptimization in engineering problemsen
dc.title.alternativeOptimization in engineering problemscs
dc.typeTextcs
dc.type.drivermasterThesisen
dc.type.evskpdiplomová prácecs
dcterms.dateAccepted2025-06-17cs
dcterms.modified2025-06-20-12:24:38cs
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
sync.item.dbid165664en
sync.item.dbtypeZPen
sync.item.insts2025.08.27 02:57:53en
sync.item.modts2025.08.26 19:54:18en
thesis.disciplinebez specializacecs
thesis.grantorVysoké učení technické v Brně. Fakulta strojního inženýrství. Ústav matematikycs
thesis.levelInženýrskýcs
thesis.nameIng.cs

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