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Failure Analysis: Shallow and Deep Causes Assessment Methodology

 Failure Analysis: Shallow and Deep Causes Assessment Methodology
Autor(en): , , , ,
Beitrag für IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023, veröffentlicht in , S. 1378-1385
DOI: 10.2749/newdelhi.2023.1378
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The ability to identify the underlying cause(s) of a structural failure is of essence for the improvement of structural civil engineering practice, and for the structural performance and its resili...
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Bibliografische Angaben

Autor(en): (Singular Structures Engineering, Spain)
(Singular Structures Engineering, Spain)
(United Nations Office for Project Services {UNOPS}, Bangladesh)
(United Nations Office for Project Services {UNOPS}, Bangladesh)
(United Nations Office for Project Services {UNOPS}, Bangladesh)
(Local Government Engineering Department {LGED}, Bangladesh)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Congress: Engineering for Sustainable Development, New Delhi, India, 20-22 September 2023
Veröffentlicht in:
Seite(n): 1378-1385 Anzahl der Seiten (im PDF): 8
Seite(n): 1378-1385
Anzahl der Seiten (im PDF): 8
DOI: 10.2749/newdelhi.2023.1378
Abstrakt:

The ability to identify the underlying cause(s) of a structural failure is of essence for the improvement of structural civil engineering practice, and for the structural performance and its resiliency against extreme load and climate conditions. This ability requires forensic expertise along with rigorous and systematic approach due to multiple nature of the potential causes. This paper presents two (2) complementary forensic investigation approaches (Top-Down and Bottom-Up approaches) that will allow engineers to identify the shallow and deep causes and the triggering effect of a structural failure.

While these approaches are complementary, each of them will be best suited for specific failure analysis scenarios that will depend on the severity (extent versus intensity) of the observed damage/pathology.

Stichwörter:
Schadensanalyse