Browsing by Subject "Structural identification"
Now showing items 1-14 of 14
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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 ... -
Accounting for modeling errors and inherent structural variability through a hierarchical bayesian model updating approach: An overview
(2020)Mechanics-based dynamic models are commonly used in the design and performance assessment of structural systems, and their accuracy can be improved by integrating models with measured data. This paper provides an overview ... -
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 ... -
Bridge health monitoring system based on vibration measurements
(2009)A bridge health monitoring system is presented based on vibration measurements collected from a network of acceleration sensors. Sophisticated structural identification methods, combining information from the sensor network ... -
Component mode synthesis techniques for finite element model updating
(2013)Deterministic and Bayesian finite element (FE) model updating techniques are computationally very demanding operations due to the large number of FE model re-analyses required. Component mode synthesis techniques are ... -
Dynamic response estimation and fatigue prediction in a linear substructure of a complex mechanical assembly
(2016)In this work, a computational framework is proposed for online estimation of fatigue damage, in a linear steel substructure of the entire body of a lignite grinder assembly at a PPC power plant. The proposed method is based ... -
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 ... -
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 ... -
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 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 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. ... -
Optimization algorithms for system integration
(2008)This work outlines the optimization algorithms involved in integrating system analysis and measured data collected from a network of sensors. The integration is required for structural health monitoring problems arising ... -
Structural model updating and prediction variability using Pareto optimal models
(2008)A multi-objective identification method for structural model updating based on modal residuals is presented. The method results in multiple Pareto optimal structural models that are consistent with the experimentally ...