Method for identifying boundary conditions of CFST arches using physically enhanced machine learning

K Xie, D Liang, Y Qin, Q Wang, H Li - Mechanical Systems and Signal …, 2024 - Elsevier
Boundary conditions are crucial for the construction of physical models of concrete-filled
steel tube (CFST) arches, but the current model updating methods seldom consider …

Enhancing damping estimation accuracy of exponential windowed responses of a GFRP plate through Finite Element Model Updating approach

U Sinha, S Das, S Chakraborty - Ocean Engineering, 2024 - Elsevier
Fibre reinforced polymer (FRP) panels are widely employed in ship and marine structures
due to their better specific stiffness and strength when compared to metals. Therefore, an …

Bayesian two-stage structural identification with equivalent formulation and EM algorithm

JX Zhu, SK Au - Mechanical Systems and Signal Processing, 2024 - Elsevier
For structural model identification using a Bayesian two-stage approach, modal properties
(eg, natural frequencies) are first extracted from measured data in Stage I and then used for …

Nonlinear seismic analysis of city gate architectural heritages using a sensitive-based model updating method

Q Hua, Q Chun, C Zhang - Journal of Building Engineering, 2024 - Elsevier
Due to the unknown accumulation of internal damage and severe degradation of structural
mechanisms, updating numerical model related to current damage using Operational Modal …

基于频响特征图的稳健有限元模型修正

王震宇, 何成, 陈卫婷, 张相南, 王占一, 何欢 - 力学学报, 2024 - lxxb.cstam.org.cn
航空航天工程领域对飞机的性能指标和技术要求越来越苛刻, 传统方法在处理大规模及多工况的
有限元模型修正问题时面临诸多挑战, 当前深度学习技术的快速发展为有限元模型修正提供了新 …

A two-step variational Bayesian Monte Carlo approach for model updating under observation uncertainty

Y Tao, Q Guo, J Zhou, J Ma, W Ge - Acta Mechanica Sinica, 2025 - Springer
Engineering tests can yield inaccurate data due to instrument errors, human factors, and
environmental interference, introducing uncertainty in numerical model updating. This study …

An efficient model updating method based on variational Bayesian inference with Wasserstein distance metric

Y Tao, Q Guo, J Zhou, J Ma, X Liu, R Chen - Journal of Mechanical …, 2024 - Springer
To obtain the posterior distribution of parameters for expensive numerical models with
complex dynamic responses that require substantial computational resources, a model …

A Digital Twin Model of Planetary Gearbox with Bearing Fault

C Wei, Y Yang, J Shi, M Du, H Cao - International Conference on …, 2023 - Springer
Digital twin modeling technology strives to improve the digitization and intelligence of
complex equipments and is widely used in intelligent maintenance of complex planetary …

Stochastic Identification of Damped Beams Using Frequency Response Function Data

AK Panda, SV Modak - … on Vibration Engineering and Technology of …, 2021 - Springer
Stochastic modelling of mass, stiffness as well as damping in structures, is crucial for an
accurate prediction of dynamic response and its variability. This is even more challenging for …

[引用][C] Implementation and Verification of Real-Time Hybrid Simulation for the Dynamic Performance Assessment of Base-Isolated Structures

YH Liu, ZF Lai, O Mercan, P Tan… - International Journal of …, 2024 - World Scientific
Real-time hybrid simulation (RTHS) is an economical and reliable method for the evaluation
of structural dynamic performances, and the fixed analytical substructure model is often used …