Sfoglia per Soggetto "Reduced order models"
Items 1-15 di 15
-
Efficient Circuit Reduction in Limited Frequency Windows
(2019)Model Order Reduction (MOR) has become key enabler for the efficient simulation of large circuit models. MOR techniques based on Balanced Truncation (BT) offer very good error estimates and can provide compact models with ... -
An enhanced substructure coupling technique for dynamic re-analyses: Application to simulation-based problems
(2016)This work presents the implementation of an enhanced substructure coupling technique in the context of complex simulation-based problems. Attention is focused to problems requiring a large number of dynamic re-analyses of ... -
Exploiting Extended Krylov Subspace for the Reduction of Regular and Singular Circuit Models
(2021)During the past decade, Model Order Reduction (MOR) has become key enabler for the efficient simulation of large circuit models. MOR techniques based on moment-matching are well established due to their simplicity and ... -
Frequency-Limited Reduction of Regular and Singular Circuit Models Via Extended Krylov Subspace Method
(2020)During the past decade, model order reduction (MOR) has become key enabler for the efficient simulation of large circuit models. MOR techniques based on balanced truncation (BT) offer very good error estimates and can ... -
A general substructure-based framework for input-state estimation using limited output measurements
(2021)This paper presents a general framework for estimating the state and unknown inputs at the level of a system subdomain using a limited number of output measurements, enabling thus the component-based vibration monitoring ... -
Graph-Based Sparsification and Synthesis of Dense Matrices in the Reduction of RLC Circuits
(2021)The integration of more components into modern integrated circuits (ICs) has led to very large RLC parasitic networks consisting of millions of nodes that have to be simulated in many times or frequencies to verify the ... -
Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain
(2017)This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation ... -
Model reduction techniques for structural dynamic analyses
(2019)This chapter presents a model reduction technique based on substructure coupling for dynamic analysis. The dynamic behavior of the substructures is described by a set of dominant fixed-interface normal modes along with a ... -
On the potential of dynamic sub-structuring methods for model updating
(2019)While purely data-driven assessment is feasible for the first levels of the Structural Health Monitoring (SHM) process, namely damage detection and arguably damage localization, this does not hold true for more advanced ... -
Online damage detection in plates via vibration measurements
(2015)In this work, we propose a new framework for the online detection of damage in plates via vibration measurements. To this end, a finite element model of the plate is handled by a recursive Bayesian filter for simultaneous ... -
Online damage detection via a synergy of proper orthogonal decomposition and recursive Bayesian filters
(2017)In this paper, an approach based on the synergistic use of proper orthogonal decomposition and Kalman filtering is proposed for the online health monitoring of damaged structures. The reduced-order model of a structure is ... -
Parametrization of reduced-order models based on global interface reduction
(2019)An interpolation scheme for approximating the interface modes in terms of the model parameters is presented in this chapter. The approximation scheme involves a set of support points in the model parameters space and a ... -
Parametrization of reduced-order models based on normal modes
(2019)This chapter deals with the parametrization of reduced-order models based on dominant and residual fixed-interface normal modes, in terms of model parameters. The division of the original structure is guided by a parametrization ... -
Reliability analysis of dynamical systems
(2019)The use of reduced-order models in the context of reliability analysis of dynamical systems under stochastic excitation is explored in this chapter. A stochastic excitation model based on a point-source model is introduced, ... -
Reliability-based design optimization
(2019)The solution of reliability-based design optimization problems by using reduced-order models is considered in this chapter. Specifically, problems involving high-dimensional stochastic dynamical systems are analyzed. The ...