A signal recovery method for bridge monitoring system using TVFEMD and encoder-decoder aided LSTM

J Xin, C Zhou, Y Jiang, Q Tang, X Yang, J Zhou - Measurement, 2023 - Elsevier
Accurate monitoring data in bridge health monitoring systems are critical for grasping the
structural operation status. However, because of data missing and distortion induced by the …

Underwater dynamic response at limited points expanded to full-field strain response

Y Chen, D Joffre, P Avitabile - … of Vibration and …, 2018 - asmedigitalcollection.asme.org
Expansion of real-time operating data from limited measurements to obtain full-field
displacement data has been performed for structures in air. This approach has shown great …

Practical model updating of the Ting Kau Bridge through the MCMC-based Bayesian algorithm utilizing measured modal parameters

C Fang, HJ Liu, HF Lam, MO Adeagbo, HY Peng - Engineering Structures, 2022 - Elsevier
Bayesian model updating framework provides a reliable method for building high-fidelity
finite element models (FEMs). To realize the efficient model updating of large-scale civil …

Dynamic sensitivity-based finite element model updating for nonlinear structures using time-domain responses

Z Cao, Q Fei, D Jiang, D Zhang, H Jin, R Zhu - International Journal of …, 2020 - Elsevier
To obtain the numerical model for predicting the nonlinear dynamic responses with high
accuracy, a dynamic sensitivity-based model updating approach by using the time-domain …

A condensed dynamic model of a heavy-duty truck for optimization of the powertrain mounting system considering the chassis frame flexibility

B Tan, Y Chen, Q Liao, B Zhang… - Proceedings of the …, 2020 - journals.sagepub.com
The existing powertrain mounting models of the heavy-duty truck for optimizing the mounts
parameters cannot well describe the deformation of the chassis frame. To overcome this …

A new damage detection method for special-shaped steel arch bridges based on fractal theory and the model updating technique

XX Cheng, G Wu, L Zhang, FB Ma - International Journal of …, 2021 - World Scientific
In this paper, an innovative two-level damage detection method applicable to real-world
online structural health monitoring (SHM) systems is proposed for in-service large steel arch …

Structural parameter estimation and damage detection using experimental transfer function data

A Esfandiari - Inverse Problems in Science and Engineering, 2020 - Taylor & Francis
In this paper, the capabilities of an enhanced sensitivity relation for the structural model
updating are validated using a subset of the measured frequency response function (FRF) …

Design of multi-hidden-layer Bayesian neural networks for model updating

Y He, T Yin, X Wang - Advances in Structural Engineering, 2024 - journals.sagepub.com
Structural health monitoring (SHM) based on artificial neural networks (ANN) has received a
lot of attention in recent decades, especially the Bayesian neural network (BNN) approach …

An interval model updating method based on meta-model and response surface reconstruction

P Zhan, X Qin, Q Zhang, Y Sun - International Journal of Structural …, 2023 - World Scientific
In this paper, a new interval finite element model updating method is proposed for interval
identification of structural parameters based on meta-model and response surface …

Rapid dynamic analysis for structures with variable system parameters through multi-fidelity model

Y Zhao, J Liu, Z He, F Ding - Computers & Structures, 2023 - Elsevier
Dynamic analysis for structures with variable parameters, such as structural dynamic
reliability analysis, optimization and uncertainty quantification, usually requires a large …