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Decision-support tools for diagnosing and selecting the optimal method of repairing buildings

cris.virtual.author-orcid0000-0003-3999-7250
cris.virtual.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.author-orcid0000-0002-1187-9087
cris.virtualsource.author-orcide32458cb-9a33-41e8-9c1a-a373b123c233
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.author-orcida1bcc28c-d0aa-4a91-b294-4977b1953641
dc.abstract.enThis study introduces an innovative algorithm that leverages terrestrial laser scanning (TLS) and the fuzzy analytic hierarchy process (FAHP) for the optimization of building repair methodologies. Focusing on multi-criteria decision-making (MCDM), itshowcases a methodology for evaluating and selecting the most effective repair strategy for building elements, balancing various conflicting criteria. The research applies TLS for rapid and accurate geometric data acquisition of engineering structures, demonstrating its utility in structural diagnostics and technical condition assessment. A case study on a single-family residential building, experiencing floor deformation in a principal ground-floor room, illustrates the practical application. Maximum deflection and floor deflection distribution were measured using TLS. Utilizing FAHP for analysis, the decision model identifies the most advantageous repair method from a building user’s perspective. This approach not only provides a systematic framework for selecting optimal repair solutions but also highlights the potential of integrating advanced scanning technologies and decision-support methods in the field of building materials and structural engineering.
dc.affiliationWydział Inżynierii Środowiska i Inżynierii Mechanicznej
dc.affiliation.instituteKatedra Budownictwa i Geoinżynierii
dc.contributor.authorWalczak, Zbigniew
dc.contributor.authorKsit, Barbara
dc.contributor.authorSzymczak-Graczyk, Anna
dc.date.access2024-11-25
dc.date.accessioned2024-11-25T13:07:44Z
dc.date.available2024-11-25T13:07:44Z
dc.date.copyright2024-11
dc.date.issued2024
dc.description.abstract<jats:p>This study introduces an innovative algorithm that leverages Terrestrial Laser Scanning (TLS) and the Fuzzy Analytic Hierarchy Process (FAHP) for the optimization of building repair methodologies. Focusing on multi-criteria decision-making (MCDM), it showcases a methodology for evaluating and selecting the most effective repair strategy for building elements, balancing various conflicting criteria. The research applies TLS for rapid and accurate geometric data acquisition of engineering structures, demonstrating its utility in structural diagnostics and technical condition assessment. A case study on a single-family residential building, experiencing floor deformation in a principal ground-floor room, illustrates the practical application. Maximum deflection and floor deflection distribution were measured using TLS. Utilizing FAHP for analysis, the decision model identifies the most advantageous repair method from a building user’s perspective. This approach not only provides a systematic framework for selecting optimal repair solutions but also highlights the potential of integrating advanced scanning technologies and decision-support methods in the field of building materials and structural engineering.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financeother
dc.description.financecost2650,00
dc.description.if1,2
dc.description.number6
dc.description.points100
dc.description.reviewreview
dc.description.versionfinal_published
dc.description.volume72
dc.identifier.doi10.24425/bpasts.2024.151382
dc.identifier.eissn2300-1917
dc.identifier.issn0239-7528
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/2073
dc.identifier.weblinkhttps://journals.pan.pl/bpasts/148330
dc.languageen
dc.pbn.affiliationenvironmental engineering, mining and energy
dc.relation.ispartofBulletin of the Polish Academy of Sciences: Technical Sciences
dc.relation.pagesart. e151382
dc.rightsCC-BY
dc.sciencecloudsend
dc.share.typeOPEN_JOURNAL
dc.subject.enplate deflection
dc.subject.enfloor plate repair
dc.subject.enterrestrial laser scanning
dc.subject.enfuzzy AHP method (FAHP)
dc.titleDecision-support tools for diagnosing and selecting the optimal method of repairing buildings
dc.typeJournalArticle
dspace.entity.typePublication
project.funder.nameŚrodki Katedry Budownictwa i Geoinżynierii