Sensitivity Analysis of Open-Top Cartons in Terms of Compressive Strength Capacity

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cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-9588-2514
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcidae71bc22-fde2-40b2-878c-e07e0e5aad5a
dc.abstract.enTrays in which fruit and vegetables are transported over vast distances are not only stored in extreme climatic conditions but are also subjected to long-term loads. Therefore, it is very important to design them correctly and select the optimal raw material for their production. Geometric parameters that define the shape of the packaging may also be optimized in the design process. In this work, in order to select the most important parameters that affect the load capacity of a tray, sensitivity analysis was used. A sensitivity analysis is often the first step in the process of building artificial-intelligence-based surrogates. In the present work, using the example of a specific tray’s geometry, the selection of starting parameters was carried out in the first step, based on the Latin hypercube sampling method. In the next step, local sensitivity analyses were performed at twenty selected starting points of the seventeen-dimensional space of the selected parameters. Based on the obtained results, it was possible to select the parameters that have a significant impact on the load capacity of the tray in the box compression test and whose influence is negligible or insignificant.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Inżynierii Biosystemów
dc.contributor.authorMrówczyński, Damian
dc.contributor.authorGajewski, Tomasz
dc.contributor.authorGarbowski, Tomasz
dc.date.access2025-07-24
dc.date.accessioned2025-10-28T08:42:51Z
dc.date.available2025-10-28T08:42:51Z
dc.date.copyright2023-01-01
dc.date.issued2023
dc.description.abstract<jats:p>Trays in which fruit and vegetables are transported over vast distances are not only stored in extreme climatic conditions but are also subjected to long-term loads. Therefore, it is very important to design them correctly and select the optimal raw material for their production. Geometric parameters that define the shape of the packaging may also be optimized in the design process. In this work, in order to select the most important parameters that affect the load capacity of a tray, sensitivity analysis was used. A sensitivity analysis is often the first step in the process of building artificial-intelligence-based surrogates. In the present work, using the example of a specific tray’s geometry, the selection of starting parameters was carried out in the first step, based on the Latin hypercube sampling method. In the next step, local sensitivity analyses were performed at twenty selected starting points of the seventeen-dimensional space of the selected parameters. Based on the obtained results, it was possible to select the parameters that have a significant impact on the load capacity of the tray in the box compression test and whose influence is negligible or insignificant.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if3,1
dc.description.number1
dc.description.points140
dc.description.versionfinal_published
dc.description.volume16
dc.identifier.doi10.3390/ma16010412
dc.identifier.issn1996-1944
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5517
dc.identifier.weblinkhttps://www.mdpi.com/2075-1729/13/9/1927
dc.languageen
dc.relation.ispartofMaterials
dc.relation.pagesart. 412
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.ensensitivity analysis
dc.subject.encorrugated board
dc.subject.entrays
dc.subject.enopen-top packaging
dc.titleSensitivity Analysis of Open-Top Cartons in Terms of Compressive Strength Capacity
dc.title.volumeThis article belongs to the Special Issue Experimental Research and Computational Analysis of Eco- and Bio-Materials
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.issue1
oaire.citation.volume16