Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation

Computer Methods in Applied Mechanics and Engineering

Volumn 198, Issue 1, 2008, Pages 150-163

  Soize, C ^a   Capiez Lernout, E ^a   Durand, J F ^a,b   Fernandez, C ^a,b   Gagliardini, L ^b  

^a Laboratoire de Modélisation et Simulation Multi Echelle   (France)

^b CENTRO RICERCHE FIAT   (Italy)

Author keywords

Experimental validation; Identification; Optimization; Structural dynamics; Uncertain computational model; Vibroacoustics

Indexed keywords

DYNAMICAL SYSTEMS; EXPERIMENTS; OPTIMIZATION; PROBABILITY; PROBABILITY DENSITY FUNCTION; SCHRODINGER EQUATION; STRUCTURAL DYNAMICS; STRUCTURAL OPTIMIZATION; UNCERTAINTY ANALYSIS;

COMPUTATIONAL MODELS; DIFFERENTIABLE OBJECTIVES; EXPERIMENTAL DATUM; EXPERIMENTAL VALIDATION; EXPERIMENTAL VALIDATIONS; IDENTIFICATION; IDENTIFICATION PARAMETERS; MAXIMUM LIKELIHOOD METHODS; MODEL UNCERTAINTIES; NONPARAMETRIC; OPTIMIZATION PROBLEMS; PARAMETER UNCERTAINTIES; PROBABILISTIC APPROACHES; PROBABILISTIC MODELS; STRUCTURAL VIBRATIONS; UNCERTAIN COMPUTATIONAL MODEL; UNCERTAIN DYNAMICAL SYSTEMS; VIBROACOUSTICS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 54849421757     PISSN: 00457825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cma.2008.04.007     Document Type: Article

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