Colloquiam: Presentations and videos to 10th International Conference on Adaptative Modeling and Simulation (ADMOS)

A New mCRE-DDM Based Approach for Model Updating in Structural Dynamics with Industrial Applications

Scipedia content — Mon, 07 Jun 2021 15:55:10 +0200

A Real Time Variational data Assimilation Method Based on Complexity Reduction and On-the-fly Data Driven Empirical Enrichment

Scipedia content — Mon, 07 Jun 2021 12:47:22 +0200

The Parameterized Background Data-Weak (PBDW) method is a non-intrusive, reduced basis, real-time and in-situ data assimilation framework for physical systems modeled by parametrized Partial Differential Equations for steady-state problems. The key idea of the formulation is to seek an approximation to the true field employing projection-by-data, with a first contribution from a deduced background estimate from reduced modeling and a second contribution from an update state informed by the experimental observations (correction of model bias). The present study aims at extending the PBDW formulation for time-dependent problems and proposes a sequential version to deal with sampled data. The work focuses on a time integration in the reduced order model, a data-driven empirical enrichment of the model and a state prediction for future time steps.

Application-specific Inverse Identification for Soft Tissue Biomechanics

Scipedia content — Mon, 21 Jun 2021 19:12:29 +0200

This contribution discuss the coupling between parameter identification and subsequent simulation (where the parameters are used) in the context of soft tissue biomechanics simulations. Duality-based method is used to consider the error in the identified material parameter along the usual finite element discretization error in simulations.

Goal-Oriented Inverse Analysis - Application to Building Thermal Problems

Scipedia content — Mon, 07 Jun 2021 11:47:04 +0200