Incremental Bayesian matrix/tensor learning for structural monitoring data imputation and response forecasting

P Ren, X Chen, L Sun, H Sun - Mechanical Systems and Signal Processing, 2021 - Elsevier
There has been increased interest in missing sensor data imputation, which is ubiquitous in
the field of structural health monitoring (SHM) due to discontinuous sensing caused by …

Damage identification of frame structure based on approximate Metropolis–Hastings algorithm and probability density evolution method

Y Yang, Y Ling, XK Tan, S Wang… - International Journal of …, 2022 - World Scientific
This paper proposes a new method to identify local damages in frame structures based on
approximate Metropolis–Hastings (AMH) algorithm and statistical moment. By analyzing the …

Structural damage identification by sparse deep belief network using uncertain and limited data

Z Ding, J Li, H Hao - Structural Control and Health Monitoring, 2020 - Wiley Online Library
The accuracy of structural damage identification is affected by the uncertainties in the
vibration measurements and the finite element modeling. This paper proposes a novel …

Fatigue damage detection and growth monitoring for composite structure using coda wave interferometry

HJ Lim, H Lee, T Skinner… - Structural Control and …, 2021 - Wiley Online Library
This paper presents the development of a fatigue damage detection and growth monitoring
technique based on coda wave interferometry (CWI) for composite structures. The time …

A bi-fidelity ensemble Kalman method for PDE-constrained inverse problems in computational mechanics

H Gao, JX Wang - Computational Mechanics, 2021 - Springer
Mathematical modeling and simulation of complex physical systems based on partial
differential equations (PDEs) have been widely used in engineering and industrial …

Physics-informed artificial intelligence models for the seismic response prediction of rocking structures

S Shen, C Málaga-Chuquitaype - Data-Centric Engineering, 2024 - cambridge.org
The seismic response of a wide variety of structures, from small but irreplaceable museum
exhibits to large bridge systems, is characterized by rocking. In addition, rocking motion is …

Wave propagation in a doubly tapered shear beam: Model and application to a pyramid‐shaped skyscraper

MI Todorovska, EA Girmay, F Wang… - … & Structural Dynamics, 2022 - Wiley Online Library
One dimensional wave propagation is studied in a cantilever conical structure deforming in
shear. The structure has rectangular cross‐section both dimensions of which decrease …

A novel computer vision-based vibration measurement and coarse-to-fine damage assessment method for truss bridges

YQ Ni, WQ Liu, EZ Rui, L Yuan, SY Chen… - Smart Structures and …, 2023 - dbpia.co.kr
To assess structural condition in a non-destructive manner, computer vision-based structural
health monitoring (SHM) has become a focus. Compared to traditional contact-type sensors …

Nondestructive In Situ Imaging of Preexisting Cracks in a Concrete Bridge Using Ultrasonic Coda Wave

H Zhan, H Jiang, Z Liang, R Jiang - Journal of Structural …, 2023 - ascelibrary.org
This paper presents an in-situ study of imaging cracks in the Berwick Bay Bridge
nondestructively by the application of an inverse algorithm to ultrasonic coda wave …

Damage detection and localization in a full-scale slice of a seven-story shear wall building tested on the UCSD-NEES shake table

M Rahmani, MI Todorovska, JR Grabinski… - Journal of Structural …, 2023 - ascelibrary.org
The capability of the wave method for structural health monitoring, based on fitting a layered
Timoshenko beam by waveform inversion of impulse responses, to localize damage is …