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): |
J. Pirah
J. Lozitin N. Samshuddin R. Roslee M. F. Zulkipli |
---|---|
Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | IOP Conference Series: Materials Science and Engineering, 1 février 2022, 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. |
- Informations
sur cette fiche - Reference-ID
10674579 - Publié(e) le:
12.06.2022 - Modifié(e) le:
12.06.2022