Sfoglia per Soggetto "Damage Identification"
Items 1-12 di 12
-
Bayesian damage characterization based on probabilistic model of scattering coefficients and hybrid wave finite element model scheme
(2019)Ultrasonic Guided Wave(GW) has been proven to be sensitive to small damage. Motivated by the fact that the quantitative relationship between wave scattering and damage intensity can be described by scattering properties, ... -
Bayesian inference for damage identification based on analytical probabilistic model of scattering coefficient estimators and ultrafast wave scattering simulation scheme
(2020)Ultrasonic Guided Waves (GW) actuated by piezoelectric transducers installed on structures have proven to be sensitive to small structural defects, with acquired scattering signatures being dependent on the damage type. ... -
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 ... -
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 ... -
Hierarchical bayesian model updating for probabilistic damage identification
(2015)This paper presents the newly developed Hierarchical Bayesian model updating method for identification of civil structures. The proposed updating method is suitable for uncertainty quantification of model updating parameters, ... -
A Nonlinear Model Inversion Method for Joint System Parameter, Noise, and Input Identification of Civil Structures
(2017)This paper presents a framework for nonlinear system identification of civil structures using sparsely measured dynamic output response of the structure. Using a sequential maximum likelihood estimation (MLE) approach, the ... -
Optimal Experimental Design Methodology for Parameter Estimation of Nonlinear Models
(2021)Experimental data are used to improve structural models and model-based predictions of output quantities of interest (QoI), that are crucial in making decisions regarding structural health, safety and performance. The ... -
Probabilistic damage identification of a designed 9-story building using modal data in the presence of modeling errors
(2017)Validity and accuracy of model based identification techniques such as linear finite element (FE) model updating are sensitive to modeling errors. Models used for the design and performance assessment of civil structures ... -
Structural damage identification using a Bayesian model selection framework
(2010)A Bayesian model class selection and updating framework is used for identifying the location and size of damage in a structure utilizing measured dynamic data. The framework consists of a two-level approach. At the first ... -
Vibration-Based Damage Detection Framework of Large-Scale Structural Systems
(2022)The main objective of this work is to present a vibration-based damage estimation framework for structural systems by integrating vibration experimental measurements in a high-fidelity, large-scale, finite element (FE) ... -
Vibration-based Damage Localization and Quantification Framework of Large-Scale Truss Structures
(2022)The use of structural health monitoring (SHM) systems on a regular basis is critical to achieve early damage detection, avoid unpredicted failures, and perform cost-effective maintenance planning. The main objective of ...