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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

Author(s):




Medium: journal article
Language(s): English
Published in: IOP Conference Series: Materials Science and Engineering, , n. 1, v. 1229
Page(s): 012003
DOI: 10.1088/1757-899x/1229/1/012003
Abstract:

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 cannot make the full text of this publication available at this time. The full text can be accessed through the publisher via the DOI: 10.1088/1757-899x/1229/1/012003.
  • About this
    data sheet
  • Reference-ID
    10674579
  • Published on:
    12/06/2022
  • Last updated on:
    12/06/2022
 
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