Structural Health Monitoring (SHM) using nondestructive test (NDT) data has become very promising for finite element (FE) model updating, model verification, structural evaluation, and damage assessment. This research presents a multiresponse structural parameter estimation method for the FE model updating using data obtained from a nondestructive test on a laboratory bridge model. Having measu...

This paper concerns the estimation algorithm for hinging hyperplane (HH) models, a non-linear black box model structure suggested in 3]. The estimation algorithm is analysed and it is shown that it is a special case of a Newton algorithm applied on a quadratic criterion. This insight is then used to suggest possible improvements of the algorithm so that convergence can be guaranteed. In additio...

In this paper, the application of stochastic global optimization techniques, in particular the GlobalSearch and MultiStart solvers from MatLab, to improve the updating of a structural dynamic model, are presented. For comparative purposes, the efficiency of these global methods relatively to the local search method previously used in a Finite Element Model Updating program is evaluated. The obt...

Purpose – Most current condition-based maintenance (CBM) systems using proportional hazards model (PHM) assume that enough historical data are available. However, in many practical cases, it is usually costly to collect much historical data prior to real practice (model implementation). This paper aims to focus on the necessity and benefits of updating a PHM with new samples generated in the pr...

This paper presents a probabilistic damage identification study on a full-scale structure, the Dowling Hall Footbridge, through a Bayesian finite element (FE) model updating. The footbridge is located at Tufts University and is equipped with a continuous monitoring system that measures its ambient acceleration response. A set of data is recorded once every hour or when triggered by large vibrat...

Background & Aims:The aim of the present study was to use a psychological model to explain the effect of trait anxiety and induced anxiety on individual’s performance in updating function of working memory. This study was also designed to test attentional control theory of Eysenck et al. Methods: Throngh Multistage Cluster sampling method, 330 freshman un...

In recent years, Bayesian model updating techniques based on measured data have been applied to system identification of structures and to structural health monitoring. A fully probabilistic Bayesian model updating approach provides a robust and rigorous framework for these applications due to its ability to characterize modeling uncertainties associated with the underlying structural system an...

We describe a method of updating a hidden Markov model (HMM) for speaker verification using a small amount of new data for each speaker. The HMM is updated by adapting the model parameters to the new data by maximum a posteriori (MAP) estimation. The initial values of the a priori parameters in MAP estimation are set using training speech used for first creating a speaker HMM. We also present a...

Navigation geo-database is the foundation and vital component of vehicle navigation system. Now almost geo-database is stored in hardware, such as CD, DVD. But, with the development of urban construction, road networks often change, as well as traffic rules. In order to reflect the changes of reality, direct the uses correctly and timely, it’s necessary to update geographic database on time. Th...