Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation
From MaRDI portal
Publication:2638125
DOI10.1016/j.cma.2008.04.007zbMath1194.74552OpenAlexW1964745033MaRDI QIDQ2638125
Publication date: 14 September 2010
Published in: Computer Methods in Applied Mechanics and Engineering (Search for Journal in Brave)
Full work available at URL: https://hal-upec-upem.archives-ouvertes.fr/hal-00686138/file/publi-2008-CMAME-198_1_150-163-soize-capiez-durand-fernandez-gagliardini-preprint.pdf
identificationoptimizationstructural dynamicsexperimental validationuncertain computational modelvibroacoustics
Vibrations in dynamical problems in solid mechanics (74H45) Optimization problems in solid mechanics (74P99) Stochastic and other probabilistic methods applied to problems in solid mechanics (74S60)
Related Items (21)
Non-Gaussian positive-definite matrix-valued random fields with constrained eigenvalues: Application to random elasticity tensors with uncertain material symmetries ⋮ Experimental Design for Nonparametric Correction of Misspecified Dynamical Models ⋮ Computational methods in optimization considering uncertainties - An overview ⋮ Time-domain formulation in computational dynamics for linear viscoelastic media with model uncertainties and stochastic excitation ⋮ Probabilistic model identification of the bit-rock-interaction-model uncertainties in nonlinear dynamics of a drill-string ⋮ Computational modeling of the nonlinear stochastic dynamics of horizontal drillstrings ⋮ Computational optimization strategies for the simulation of random media and components ⋮ Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity ⋮ An interval framework for uncertain frequency response of multi-cracked beams with application to vibration reduction via tuned mass dampers ⋮ Polynomial-chaos-based conditional statistics for probabilistic learning with heterogeneous data applied to atomic collisions of helium on graphite substrate ⋮ Robustness analysis of an uncertain computational model to predict well integrity for geologic \(\mathrm{CO}_{2}\) sequestration ⋮ Post-buckling nonlinear static and dynamical analyses of uncertain cylindrical shells and experimental validation ⋮ Stochastic wave finite element for random periodic media through first-order perturbation ⋮ Generalized probabilistic approach of uncertainties in computational dynamics using random matrices and polynomial chaos decompositions ⋮ Identification and sampling of Bayesian posteriors of high-dimensional symmetric positive-definite matrices for data-driven updating of computational models ⋮ Identification of Bayesian posteriors for coefficients of chaos expansions ⋮ Generalized Wishart distribution for probabilistic structural dynamics ⋮ Calculation of Hessian under constraints with applications to Bayesian system identification ⋮ Acceleration of uncertainty propagation through Lagrange multipliers in partitioned stochastic method ⋮ Rigid multibody system dynamics with uncertain rigid bodies ⋮ Nonparametric probabilistic approach of uncertainties for elliptic boundary value problem
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- A Mathematical Theory of Communication
- Computational stochastic statics of an uncertain curved structure with geometrical nonlinearity in three-dimensional elasticity
- Identification of parametric models from experimental data. Transl. from an upd. French version by the authors, with the help of John Norton
- Robust design of structures using optimization methods
- Random matrix theory for modeling uncertainties in computational mechanics
- A globally convergent method for nonlinear programming
- On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds
- Developments in structural-acoustic optimization for passive noise control
- Principal component analysis.
- Ingredients for a general purpose stochastic finite elements implementation
- Random matrix theory and non-parametric model of random uncertainties in vibration analysis
- A comprehensive overview of a non-parametric probabilistic approach of model uncertainties for predictive models in structural dynamics
- A Globally Convergent Augmented Lagrangian Algorithm for Optimization with General Constraints and Simple Bounds
- Information Theory and Statistical Mechanics
- Parametric updating of a finite element model from experimental modal characteristics
- Application of a posteriori error estimation for structural model updating
- Model Updating In Structural Dynamics: A Survey
- Updating finite element dynamic models using an element-by-element sensitivity methodology
- Introduction to Stochastic Search and Optimization
- Analysis of Generalized Pattern Searches
- Development of a simple and efficient method for robust optimization
- Pattern Search Algorithms for Bound Constrained Minimization
- An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
- A globally convergent Lagrangian barrier algorithm for optimization with general inequality constraints and simple bounds
This page was built for publication: Probabilistic model identification of uncertainties in computational models for dynamical systems and experimental validation
