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Risk-Informed Decision-Making for Assessment of Existing Structures
Structural engineering is often portrayed as an accurate science, but structural engineers are in reality making decisions under uncertainties. These uncertainties are just well hidden for most practising engineers in the characteristic values of uncertain parameters and the partial safety factors provided in most standards. Structural reliability, probabilistic and risk analysis have for many decades existed as an alternative to take these uncertainties more directly into account. However, such analyses have mostly been used for the development of calibrated structural design standards, including the characteristic values and safety factors in these. More recently, with more existing structures that needs to be assessed for further use, the interest in structural reliability, probabilistic and risk analysis have increased, both because of their ability to directly evaluate these uncertainties and, as these methods can include additional information from for example inspections, experienced loading and material testing. In many cases, this would require that the most accurate methods both for structural and safety analysis are used, including structural reliability, probabilistic and risk analysis. However, the use of such analysis is not generally accepted. This paper starts out by presenting the basic background for decision making under certainty and uncertainty. Further, it provides a critical review of risk-informed decision-making methods, highlights what is believed to be the main limitations when these are used for the assessment of existing structures and suggests some ideas for possible solutions.
Risk-Informed Decision-Making for Assessment of Existing Structures
Structural engineering is often portrayed as an accurate science, but structural engineers are in reality making decisions under uncertainties. These uncertainties are just well hidden for most practising engineers in the characteristic values of uncertain parameters and the partial safety factors provided in most standards. Structural reliability, probabilistic and risk analysis have for many decades existed as an alternative to take these uncertainties more directly into account. However, such analyses have mostly been used for the development of calibrated structural design standards, including the characteristic values and safety factors in these. More recently, with more existing structures that needs to be assessed for further use, the interest in structural reliability, probabilistic and risk analysis have increased, both because of their ability to directly evaluate these uncertainties and, as these methods can include additional information from for example inspections, experienced loading and material testing. In many cases, this would require that the most accurate methods both for structural and safety analysis are used, including structural reliability, probabilistic and risk analysis. However, the use of such analysis is not generally accepted. This paper starts out by presenting the basic background for decision making under certainty and uncertainty. Further, it provides a critical review of risk-informed decision-making methods, highlights what is believed to be the main limitations when these are used for the assessment of existing structures and suggests some ideas for possible solutions.
Risk-Informed Decision-Making for Assessment of Existing Structures
Structural Integrity
Pavlou, Dimitrios (Herausgeber:in) / Correia, Jose A.F.O. (Herausgeber:in) / Fazeres-Ferradosa, Tiago (Herausgeber:in) / Gudmestad, Ove Tobias (Herausgeber:in) / Siriwardane, Sudath C. (Herausgeber:in) / Lemu, Hirpa (Herausgeber:in) / Ersdal, Gerhard (Herausgeber:in) / Liyanage, Jayantha P. (Herausgeber:in) / Hansen, Vidar (Herausgeber:in) / Minde, Mona Wetrhus (Herausgeber:in)
Olympiad in Engineering Science ; 2023 ; Aldemar Olympian Village, Greece
Analytical and Experimental Methods in Mechanical and Civil Engineering ; Kapitel: 11 ; 146-165
Structural Integrity ; 28
01.02.2024
20 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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