Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Quantification of modeling uncertainty in the Rayleigh damping model
https://orcid.org/0000-0002-3847-5277
https://orcid.org/0000-0001-9618-1210
AbstractUnderstanding and accurately characterizing energy dissipation mechanisms in civil structures during earthquakes is an important element of seismic assessment and design. The most commonly used model is attributed to Rayleigh. This paper proposes a systematic approach to quantify the uncertainty associated with Rayleigh's damping model. Bayesian calibration with embedded model error is employed to treat the coefficients of the Rayleigh model as random variables using modal damping ratios. Through a numerical example, we illustrate how this approach works and how the calibrated model can address modeling uncertainty associated with the Rayleigh damping model.
Quantification of modeling uncertainty in the Rayleigh damping model
https://orcid.org/0000-0002-3847-5277
https://orcid.org/0000-0001-9618-1210
AbstractUnderstanding and accurately characterizing energy dissipation mechanisms in civil structures during earthquakes is an important element of seismic assessment and design. The most commonly used model is attributed to Rayleigh. This paper proposes a systematic approach to quantify the uncertainty associated with Rayleigh's damping model. Bayesian calibration with embedded model error is employed to treat the coefficients of the Rayleigh model as random variables using modal damping ratios. Through a numerical example, we illustrate how this approach works and how the calibrated model can address modeling uncertainty associated with the Rayleigh damping model.
Quantification of modeling uncertainty in the Rayleigh damping model
https://orcid.org/0000-0002-3847-5277
https://orcid.org/0000-0001-9618-1210
AbstractUnderstanding and accurately characterizing energy dissipation mechanisms in civil structures during earthquakes is an important element of seismic assessment and design. The most commonly used model is attributed to Rayleigh. This paper proposes a systematic approach to quantify the uncertainty associated with Rayleigh's damping model. Bayesian calibration with embedded model error is employed to treat the coefficients of the Rayleigh model as random variables using modal damping ratios. Through a numerical example, we illustrate how this approach works and how the calibrated model can address modeling uncertainty associated with the Rayleigh damping model.
Quantification of modeling uncertainty in the Rayleigh damping model
Earthq Engng Struct Dyn
Ghahari, Farid (Autor:in) / Sargsyan, Khachik (Autor:in) / Taciroglu, Ertugrul (Autor:in)
Earthquake Engineering & Structural Dynamics ; 53 ; 2950-2956
01.07.2024
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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