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Dynamic model updating (DMU) approach for statistical learning model building with missing data [PDF]

open access: yesBMC Bioinformatics, 2021
Background Developing statistical and machine learning methods on studies with missing information is a ubiquitous challenge in real-world biological research.
Rahi Jain, Wei Xu
doaj   +2 more sources

Bridge Model Updating Based on Wavelet Neural Network and Wind-Driven Optimization [PDF]

open access: yesSensors, 2023
Aging, corrosive environments, and inadequate maintenance may result in performance deterioration of civil infrastructures, and finite element model updating is a commonly employed structural health monitoring procedure in civil engineering to reflect ...
Haifang He   +6 more
doaj   +2 more sources

Accounting for Modeling Errors and Inherent Structural Variability through a Hierarchical Bayesian Model Updating Approach: An Overview [PDF]

open access: yesSensors, 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.
Mingming Song   +3 more
doaj   +2 more sources

Real-Time Structural Health Monitoring and Damage Identification Using Frequency Response Functions along with Finite Element Model Updating Technique [PDF]

open access: yesSensors, 2022
Throughout service, damage can arise in the structure of buildings; hence, their dynamic testing becomes essential to verify that such buildings possess sufficient strength to withstand disturbances, particularly in the event of an earthquake.
Tarunpreet Singh   +3 more
doaj   +2 more sources

An Improved Dynamic Model Updating Method for Multistage Gearbox Based on Surrogate Model and Sensitivity Analysis

open access: yesIEEE Access, 2021
Model updating can improve the accuracy of the multistage gearbox dynamic model (MGDM). However, owing to the time-consuming calculations and numerous parameters of the MGDM, previous updating methods are not suitable for updating the MGDM.
Huachao Xu   +3 more
doaj   +1 more source

On the Generation of Digital Data and Models from Point Clouds: Application to a Pedestrian Bridge Structure

open access: yesInfrastructures, 2023
This study investigates the capture of digital data and the development of models for structures with incomplete documentation and plans. LiDAR technology is utilized to obtain the point clouds of a pedestrian bridge structure. Two different point clouds
F. Necati Catbas   +4 more
doaj   +1 more source

A Dynamic Model Updating Method with Thermal Effects Based on Improved Support Vector Regression

open access: yesApplied Sciences, 2021
The dynamic modeling of structures in a thermal environment has become a new research topic in structural dynamics. The amount of calculation caused by the complexity of the structure and the size of the FEM, which increase the difficulty in modeling the
Zhe Chen, Qijun Zhao
doaj   +1 more source

Updating standard solar models [PDF]

open access: yesAstronomy and Astrophysics Supplement Series, 1997
We present an updated version of our standard solar model (SSM) where helium and heavy elements diffusion is included and the improved OPAL equation of state (Rogers 1994, Rogers Swenson \& Iglesias 1996) is used. In such a way the EOS is consistent with the adopted opacity tables, from the same Livermore group, an occurrence which should further ...
Ciacio F   +2 more
openaire   +4 more sources

Structural-Health-Monitoring-Oriented Finite Element Model for a Specially Shaped Steel Arch Bridge and Its Application

open access: yesMathematical and Computational Applications, 2023
To rigorously evaluate the health of a steel bridge subjected to vehicle-induced fatigue, both a detailed numerical model and effective fatigue analysis methods are needed. In this paper, the process for establishing the structural health monitoring (SHM)
Li Dai, Mi-Da Cui, Xiao-Xiang Cheng
doaj   +1 more source

Updating outdated predictive accident models [PDF]

open access: yesAccident Analysis & Prevention, 2013
Reliable predictive accident models (PAMs) (also referred to as safety performance functions (SPFs)) are essential to design and maintain safe road networks however, ongoing changes in road and vehicle design coupled with road safety initiatives, mean that these models can quickly become dated.
Wood, AG   +4 more
openaire   +3 more sources

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