[HTML][HTML] Review of finite element model updating methods for structural applications
At the time of designing structures up to date, the density and magnitude of the load have
increased, and the requirements for regulation have also become more stringent. To ensure …
increased, and the requirements for regulation have also become more stringent. To ensure …
Automated modal identification using principal component and cluster analysis: Application to a long‐span cable‐stayed bridge
Obtaining timely information about the health of civil infrastructure is critical to ensuring safe
and reliable operation. Structural health monitoring has been proposed as a means to …
and reliable operation. Structural health monitoring has been proposed as a means to …
Model assessment of a bridge by load and dynamic tests
A De Angelis, MR Pecce - Engineering Structures, 2023 - Elsevier
The assessment and monitoring of structures through in situ tests, especially dynamic tests,
is becoming a common procedure due to the evolution of the instruments and numerical …
is becoming a common procedure due to the evolution of the instruments and numerical …
Modeling and forecasting of temperature-induced strain of a long-span bridge using an improved Bayesian dynamic linear model
Temperature-driven baseline is highly responsive to anomalous structural behavior of long-
span bridges, which means that the discrepancy between the measured and forecasting …
span bridges, which means that the discrepancy between the measured and forecasting …
Progressive numerical model validation of a bowstring-arch railway bridge based on a structural health monitoring system
This paper presents a progressive numerical model validation of a bowstring-arch railway
bridge based on the analysis of experimental data from different structural response …
bridge based on the analysis of experimental data from different structural response …
Automated finite element model updating of a scale bridge model using measured static and modal test data
Abstract Structural Health Monitoring (SHM) using nondestructive test data has become
promising for finite element (FE) model updating, model verification, structural evaluation …
promising for finite element (FE) model updating, model verification, structural evaluation …
Development of a two-phase adaptive MCMC method for efficient Bayesian model updating of complex dynamic systems
The fundamental problem of Bayesian model updating is identifying the posterior probability
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
density function (PDF) of uncertain model parameters. Markov chain Monte Carlo (MCMC) …
Modeling and separation of thermal effects from cable-stayed bridge response
X Xu, Q Huang, Y Ren, DY Zhao, J Yang… - Journal of Bridge …, 2019 - ascelibrary.org
This article presents a practical multivariate linear-based model for modeling and separation
of thermal effects from the cable-stayed bridge response. First, the discrete typical thermal …
of thermal effects from the cable-stayed bridge response. First, the discrete typical thermal …
Long-term structural health monitoring of the Cleddau bridge: Evaluation of quasi-static temperature effects on bearing movements
R Kromanis, P Kripakaran, B Harvey - Structure and Infrastructure …, 2016 - Taylor & Francis
This paper illustrates how long-term measurements can be analysed to understand bridge
behaviour under changing environmental conditions and how the developed understanding …
behaviour under changing environmental conditions and how the developed understanding …
Prediction Model for Long‐Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization
Bridge bearings are critical components in bridge structures because they ensure the
normal functioning of bridges by accommodating the long‐term horizontal movements …
normal functioning of bridges by accommodating the long‐term horizontal movements …