Πλοήγηση ανά Θέμα "Response prediction"
Αποτελέσματα 1-16 από 16
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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 ... -
Bayesian optimal experimental design using asymptotic approximations
(2017)Bayesian optimal experimental design (OED) tools for model parameter estimation and response predictions in structural dynamics include sampling (Huan and Marzouk, J. Comput. Phys., 232:288–317, 2013) and asymptotic ... -
Data-driven uncertainty quantification and propagation in structural dynamics through a hierarchical Bayesian framework
(2020)In the presence of modeling errors, the mainstream Bayesian methods seldom give a realistic account of uncertainties as they commonly underestimate the inherent variability of parameters. This problem is not due to any ... -
A dual Kalman filter approach for state estimation via output-only acceleration measurements
(2015)A dual implementation of the Kalman filter is proposed for estimating the unknown input and states of a linear state-space model by using sparse noisy acceleration measurements. The successive structure of the suggested ... -
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 ... -
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 ... -
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 modeling framework for model updating and robust predictions in structural dynamics using modal features
(2022)The hierarchical Bayesian modeling (HBM) framework has recently been developed to tackle the uncertainty quantification and propagation in structural dynamics inverse problems. This new framework characterizes the ensemble ... -
Joint estimation of states and input in linear structural dynamics
(2011)The problem of jointly estimating the input forces and states of a structure from a limited number of acceleration measurements is addressed. Utilizing a model-based joint input-state estimation algorithm originally developed ... -
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 ... -
Optimal sensor placement for response reconstruction in structural dynamics
(2020)A framework for optimal sensor placement (OSP) for response reconstruction under uncertainty is presented based on information theory. The OSP is selected as the one that maximizes an expected utility function taken as the ... -
Pareto optimal structural models and predictions consistent with data and modal residuals
(2008)A multi-objective identification method for model updating based on modal residuals is proposed. The method results in multiple Pareto optimal structural models that are consistent with the measured modal data, the class ... -
Response prediction for axially loaded pile groups in clays using 3D nonlinear analysis
(2005)The objective of this paper is to quantify the effect of the interaction between the piles of a group under axial loading in clayey soils. Three dimensional parametric nonlinear analysis was carried out for various pile ... -
Robust Bayesian optimal sensor placement for model parameter estimation and response predictions
(2020)Optimal sensor placement (OSP) in complex systems implies a configuration that maximizes the information gain by the sensors. This configuration is identified by maximizing, with respect to the location of the sensors, an ...