Sfoglia per Soggetto "Modal analysis"
Items 1-20 di 34
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Accounting for amplitude of excitation in model updating through a hierarchical Bayesian approach: Application to a two-story reinforced concrete building
(2019)Calibrated linear equivalent models of civil structures are often used for response prediction and performance assessment. However, these models are only valid for a narrow range of excitation level for which these models ... -
An analytical perspective on Bayesian uncertainty quantification and propagation in mode shape assembly
(2020)Assembling local mode shapes identified from multiple setups to form global mode shapes is of practical importance when the degrees of freedom (dofs) of interest are measured separately in individual setups or when one ... -
ATHENA: A Greek multi-sensory database for home automation control
(2014)In this paper we present a Greek speech database with real multi-modal data in a smart home two-room environment. In total, 20 speakers were recorded in 240 one-minute long sessions. The recordings include utterances of ... -
A bayesian identification methodology for selection among Pareto optimal structural models using modal residuals
(2005)The structural parameter estimation problem based on measured modal data is formulated as a multi-objective optimization problem in which modal metrics measuring the fit between measured and model predicted groups of modal ... -
Bayesian methodology for structural damage identification and reliability assessment
(2009)A Bayesian framework is presented for structural model selection and damage identification utilizing measured vibration data. The framework consists of a two-level approach. At the first level the problem of estimating the ... -
A computationally efficient Bayesian framework for structural health monitoring using physics-based models
(2015)A Bayesian inference framework for structural damage identification is presented. Sophisticated structural identification methods, combining vibration information from the sensor network with the theoretical information ... -
Development of a novel model for co-modal emission calculation and inventory methodology
(2019)This paper presents a novel model for co-modal emission calculation and inventory methodology combining the various modes of public transport. A number of available emission calculation models have been reviewed and the ... -
Efficient techniques for bayesian inverse modeling of large-order computational models
(2013)Bayesian tools for inverse modeling are based on asymptotic approximations and Stochastic Simulation Algorithms (SSA). Such tools require a number of moderate to large number of system re-analyses. For large-order numerical ... -
Experimental validation of the Kalman-type filters for online and real-time state and input estimation
(2017)In this study, a novel dual implementation of the Kalman filter proposed by Eftekhar Azam et al. (2014, 2015) is experimentally validated for simultaneous estimation of the states and input of structural systems. By means ... -
Fast Bayesian structural damage localization and quantification using high fidelity FE models and CMS techniques
(2012)Bayesian estimators are proposed for damage identification (localization and quantification) of civil infrastructure using vibration measurements. The actual damage occurring in the structure is predicted by Bayesian model ... -
Fast Bayesian updating of large-scale finite element models using CMS technique and surrogate models
(2012)A Bayesian probabilistic framework for parameter estimation is applied for updating large-order finite element models of structures using response measurements. Fast and accurate component mode synthesis (CMS) techniques ... -
A fast CMS technique for computational efficient system re-analyses in structural dynamics
(2009)Sensitivity analyses, model calibration techniques, uncertainty quantification methods, reliability computations and design optimization methods require a moderate to large number of system re-analyses to be performed for ... -
A fast CMS technique for computational efficient system re-analyses in structural dynamics
(2013)Sensitivity analyses, model calibration techniques, uncertainty quantification methods, reliability computations and design optimization methods require a moderate to large number of system re-analyses to be performed for ... -
Fast computing techniques for Bayesian uncertainty quantification in structural dynamics
(2013)A Bayesian probabilistic framework for uncertainty quantification and propagation in structural dynamics is reviewed. Fast computing techniques are integrated with the Bayesian framework to efficiently handle large-order ... -
Finite element analysis of sloshing in AXI-symmetric vessels
(2008)The present paper investigates externally-induced sloshing in axi-symmetric liquid containers, with emphasis on industrial spherical containers, using an efficient numerical formulation, based on modal analysis. Assuming ... -
Finite element model validation and predictions using dynamic reduction techniques
(2011)Finite element (FE) model updating and validation techniques are formulated as single and multi-objective optimization problems. A multi-objective optimization framework results in multiple Pareto optimal models that are ... -
Health monitoring of Metsovo bridge using ambient vibrations
(2010)A real-time online structural health monitoring system for the Metsovo bridge, the highest R/C bridge of the Egnatia Odos Motorway in Greece, is outlined and then used to develop high fidelity dynamic finite element models ... -
Hierarchical Bayesian calibration and response prediction of a 10-story building model
(2019)This paper presents Hierarchical Bayesian model updating of a 10-story building model based on the identified modal parameters. The identified modal parameters are numerically simulated using a frame model (exact model) ... -
Hierarchical Bayesian operational modal analysis: Theory and computations
(2020)This paper presents a hierarchical Bayesian modeling framework for the uncertainty quantification in modal identification of linear dynamical systems using multiple vibration data sets. This novel framework integrates the ... -
Hierarchical Bayesian uncertainty quantification of dynamical models utilizing modal statistical information
(2020)Updating dynamical models based on experimental modal information has become an important topic in structural health monitoring. This paper revisits this significant problem and develops a new two-stage hierarchical Bayesian ...