Πλοήγηση ανά Συγγραφέα "Papadimitriou, C."
Αποτελέσματα 41-60 από 87
-
Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors
(2012)An algorithm is presented for jointly estimating the input and state of a structure from a limited number of acceleration measurements. The algorithm extends an existing joint input-state estimation filter, derived using ... -
Joint input-response predictions in structural dynamics
(2011)The problem of jointly estimating the input forces and states of a structure from a limited number of acceleration measurements is adressed. Utilizing a model-based joint inputstate estimation algorithm originally developed ... -
Kinetic parameter estimation by standard optimization methods in catalytic converter modeling
(2004)The application of mathematical models to the prediction of the performance of automotive catalytic converters is gaining increasing interest, both for gasoline and diesel engined-vehicles. This article addresses converter ... -
Leakage detection in water pipe networks using a Bayesian probabilistic framework
(2003)A Bayesian system identification methodology is proposed for leakage detection in water pipe networks. The methodology properly handles the unavoidable uncertainties in measurement and modeling errors. Based on information ... -
Management of uncomplicated urinary tract infections using fuzzy cognitive maps
(2009)Urinary Tract Infection (UTI) is a bacterial infection that affects any part of the urinary tract. It can be classified as uncomplicated (patients with urinary tracts that are normal from both structural and functional ... -
Model-reduction techniques for Bayesian finite element model updating using dynamic response data
(2014)This work presents a strategy for integrating a class of model reduction techniques into a finite element model updating formulation. In particular a Bayesian model updating approach based on a stochastic simulation method ... -
Multi-objective framework for structural model identification
(2005)Structural identification based on measured dynamic data is formulated in a multi-objective context that allows the simultaneous minimization of the various objectives related to the fit between measured and model predicted ... -
Multi-objective optimization algorithms for finite element model updating
(2008)A multi-objective optimization method is presented for estimating the parameters of finite element structural models based on modal residuals. The method results in multiple Pareto optimal structural models that are ... -
Multi-objective optimization of quarter car models with passive and semi-active suspensions
(2004)A methodology is presented for optimising the suspension damping and stiffness parameters of quarter car models, subjected to road excitation. First, models involving passive damping with constant or dual rate characteristics ... -
Multi-objective parameter identification in structural dynamics
(2003)The structural identification problem is formulated in a multi-objective context that allows the simultaneous minimization of the various objectives related to the fit between measured and model predicted data. Thus, the ... -
A new stationary PDF approximation for non-linear oscillators
(2000)A new method is presented for approximating the stationary probability density function of the response of a general class of non-linear single-degree-of-freedom dynamical systems subjected to additive stochastic white ... -
Nonlinear gear transmission system numerical dynamic analysis and experimental validation
(2014)The main objective of the present work was to accurately predict the dynamic response of a gear transmission system. First, a nonlinear mathematical model is introduced. In this model, the housing of the gearbox is modeled ... -
On prediction error correlation in Bayesian model updating
(2013)In Bayesian model updating, probability density functions of model parameters are updated accounting both for the information contained in the data and for uncertainties present in the measurements and model predictions, ... -
Optimal experimental design for structural health monitoring applications
(2008)Successful structural health monitoring and condition assessment depends to a large extent on the sensor and actuator networks place on the structure as well as the excitation characteristics. An optimal experimental design ... -
Optimal experimental design in stochastic structural dynamics
(2005)This paper provides a methodology for optimal prediction of the response of randomly vibrating structures using information from a limited number of measurements. The objective is to optimize the locations of sensors for ... -
Optimal sensor and actuator configuration for structural identification
(2001)A methodology is presented for designing cost-effective optimal sensor and actuator configurations useful for structural model updating and health monitoring purposes. The optimal sensor and actuator configuration is ... -
Optimal sensor location for model parameter estimation in CFD
(2013)In this paper the optimal sensor location problem for the estimation of model parameters in computational fluid dynamics is presented. A Bayesian formulation is used to quantify the uncertainties in the model parameters ... -
Optimal sensor location methodology for structural identification and damage detection
(2006)Theoretical and computational issues arising in the selection of the optimal sensor configuration in structural dynamics are addressed. The information entropy is introduced to measure the performance of a sensor configuration. ... -
Optimal sensor placement methodology for identification with unmeasured excitation
(2001)A methodology is presented for designing cost-effective optimal sensor configurations for structural model updating and health monitoring purposes. The optimal sensor configurations ration is selected such that the resulting ... -
Optimal sensor placement methodology for parametric identification of structural systems
(2004)Theoretical and computational issues arising in the selection of the optimal sensor configuration for parameter estimation in structural dynamics are addressed. The information entropy, measuring the uncertainty in the ...