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Multivariate Statistical Analysis (MVA) in Complimenting Building Condition Assessment as a Diagnosis Tool for Reinforced Concrete Structures Rated as Category 3, 4 and 5

Auteur(s):




Médium: article de revue
Langue(s): anglais
Publié dans: IOP Conference Series: Materials Science and Engineering, , n. 1, v. 1229
Page(s): 012003
DOI: 10.1088/1757-899x/1229/1/012003
Abstrait:

In most structural repair works or building condition assessment, structural appraisal has been done through visual inspection for tell-tale signs which highlight the possible defect. This method is extended to the standard guideline by Jabatan Kerja Raya (JKR) in their BCA format in determining the physical condition rating. Consulting engineers or structural specialists are to participate when it is determined that the structure requires material testing in order to come up with diagnoses and prognosis. The use of descriptive statistics in both reconnaissance or desktop studies as well as in standard specifications have limitation in determining the actual structural issues. This study demonstrates the advantages of using Multivariate Statistical Analysis (MVA) in summating the right diagnosis and prognosis for structural repair works.

Structurae ne peut pas vous offrir cette publication en texte intégral pour l'instant. Le texte intégral est accessible chez l'éditeur. DOI: 10.1088/1757-899x/1229/1/012003.
  • Informations
    sur cette fiche
  • Reference-ID
    10674579
  • Publié(e) le:
    12.06.2022
  • Modifié(e) le:
    12.06.2022
 
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