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Reevaluation of the Design Loads for an Existing Avalanche Protection Gallery - A Probabilistic Approach

 Reevaluation of the Design Loads for an Existing Avalanche Protection Gallery - A Probabilistic Approach
Autor(en): , , , ,
Beitrag für IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015, veröffentlicht in , S. 212-219
DOI: 10.2749/222137815818357106
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When planning maintenance and repair actions, the owners of existing structures are often faced with the problem that the structure cannot be verified any more with the current design codes. The ex...
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Bibliografische Angaben

Autor(en): (Matrisk GmbH, Affoltern am Albis, Switzerland)
(Matrisk GmbH, Affoltern am Albis, Switzerland)
(Swiss Federal Institute for Snow and Avalanche Research (SLF), Davos, Switzerland)
(Swiss Federal Institute for Snow and Avalanche Research (SLF), Davos, Switzerland)
(Tiefbauamt Graubünden, Chur, Switzerland)
Medium: Tagungsbeitrag
Sprache(n): Englisch
Tagung: IABSE Conference: Structural Engineering: Providing Solutions to Global Challenges, Geneva, Switzerland, September 2015
Veröffentlicht in:
Seite(n): 212-219 Anzahl der Seiten (im PDF): 8
Seite(n): 212-219
Anzahl der Seiten (im PDF): 8
Jahr: 2015
DOI: 10.2749/222137815818357106
Abstrakt:

When planning maintenance and repair actions, the owners of existing structures are often faced with the problem that the structure cannot be verified any more with the current design codes. The expected costs of retrofitting can be significant, which raises the question whether investments are proportionate or whether a lower reliability level can be accepted for a particular structure. The present paper shows how target reliabilities can be defined based on risk and efficiency considerations and how design values for loads and/or resistances can be derived from this design target. The focus is on avalanche loads on protection galleries, for which no standard probabilistic models exist. The derivation of probabilistic load distributions from scenarios and return periods estimated by experts is discussed. The methods are applied to a real structure in the Swiss Alps, illustrating the benefits of the risk-based, probabilistic approach.

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