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Article

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Title

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

Authors

[ 1 ] Instytut Budownictwa, Wydział Inżynierii Lądowej i Transportu, Politechnika Poznańska | [ P ] employee

Scientific discipline (Law 2.0)

[2.7] Civil engineering, geodesy and transport

Year of publication

2024

Published in

Bulletin of the Polish Academy of Sciences. Technical Sciences

Journal year: 2024 | Journal volume: vol. 72 | Journal number: no. 6

Article type

scientific article

Publication language

english

Keywords
EN
  • plate deflection
  • floor plate repair
  • terrestrial laser scanning
  • fuzzy AHP method (FAHP)
Abstract

EN 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.

Pages (from - to)

e151382-1 - e151382-14

DOI

10.24425/bpasts.2024.151382

URL

https://journals.pan.pl/dlibra/publication/151382/edition/132314/content

Comments

Article Number: e151382

License type

CC BY (attribution alone)

Open Access Mode

open journal

Open Access Text Version

final published version

Date of Open Access to the publication

at the time of publication

Ministry points / journal

100

Impact Factor

1,2 [List 2023]

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