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Reliability of Structures that Pass Imperfect Proof Load Tests

 Reliability of Structures that Pass Imperfect Proof Load Tests
Auteur(s):
Présenté pendant IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019, publié dans , pp. 570-575
DOI: 10.2749/newyork.2019.0570
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Proof load tests have the potential to confirm the structural safety of a component suspected of being substandard. Methodologies are available to revise the reliability index of the suspect compon...
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Détails bibliographiques

Auteur(s): (Western University)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Congress: The Evolving Metropolis, New York, NY, USA, 4-6 September 2019
Publié dans:
Page(s): 570-575 Nombre total de pages (du PDF): 6
Page(s): 570-575
Nombre total de pages (du PDF): 6
DOI: 10.2749/newyork.2019.0570
Abstrait:

Proof load tests have the potential to confirm the structural safety of a component suspected of being substandard. Methodologies are available to revise the reliability index of the suspect component, after it passes a proof load test, that essentially assume that the probability that the actual resistance is less than the proof load is zero. There is some sense among practitioners, however, that “you can always pass a proof load test” and so the current methodologies for updating the reliability index may be unconservative.

This paper presents the development of rational criteria for including proof load testing into the safety assessment that account for imperfect repeatability of the test result. The necessary mathematical formulation requires the following steps:

  1. Define the likelihood that a particular proof load test can be successfully repeated, i.e., (100-α)%;
  2. Partially truncate the lower tail of the resistance distribution such that the cumulative probability corresponding to the load test magnitude equals the probability that the load test will not be successfully repeated, i.e., α%; and,
  3. Carry out reliability analyses using the partially truncated resistance distribution.

Preliminary findings are presented assuming the load and original resistance distributions are normal. Two example calculations demonstrate the applicability of the method, and indicate ist potential value in determining the necessary test load magnitude to achieve a desired reliability index.