Recent progress and future trends on damage identification methods for bridge structures

Y An, E Chatzi, SH Sim, S Laflamme… - … Control and Health …, 2019 - Wiley Online Library
Damage identification forms a key objective in structural health monitoring. Several state‐of‐
the‐art review papers regarding progress in this field up to 2011 have been published. This …

Fatigue damage diagnosis and prognosis for 2024 aluminum plates with center holes: a strain monitoring approach

L Han, X He, Y Ning, Y Zhang, Y Zhou - International Journal of Fatigue, 2023 - Elsevier
A fatigue damage diagnosis and prognosis approach has been developed based on strain
monitoring. The fatigue experiment is conducted on 2024 aluminum specimens with center …

Fatigue damage diagnosis and prognosis of an aeronautical structure based on surrogate modelling and particle filter

D Cristiani, C Sbarufatti, F Cadini… - Structural Health …, 2021 - journals.sagepub.com
A key issue affecting the performances of every human-conceived engineering system is its
degradation, fatigue crack growth being one of the major structural deterioration …

Identification by recursive least squares with Kalman filter (RLS-KF) applied to a robotic manipulator

DA De Souza, JG Batista, FJS Vasconcelos… - IEEE …, 2021 - ieeexplore.ieee.org
The field of robotics has grown a lot over the years due to the increasing necessity of
industrial production and the search for quality of industrialized products. The identification …

Estimation of local failure in tensegrity using Interacting Particle-Ensemble Kalman Filter

N Aswal, S Sen, L Mevel - Mechanical Systems and Signal Processing, 2021 - Elsevier
Tensegrities form a special case of truss, wherein compression members (struts/bars) float
within a network of tension members (cables). Tensegrities are characterized by the …

Bayesian monitoring of substructures under unknown interface assumption

E Kuncham, N Aswal, S Sen, L Mevel - Mechanical Systems and Signal …, 2023 - Elsevier
Abstract Structural Health Monitoring (SHM) enables assessing in-service structures'
performance by localizing structural anomaly instances immediately after their occurrence …

Online structural damage identification technique using constrained dual extended Kalman filter

S Sen, B Bhattacharya - Structural Control and Health …, 2017 - Wiley Online Library
Periodic health assessment of large civil engineering structures is an effective way to ensure
safe performance all through their service lives. Dynamic response‐based structural health …

Structural health monitoring with non-linear sensor measurements robust to unknown non-stationary input forcing

S Sen, N Aswal, Q Zhang, L Mevel - Mechanical Systems and Signal …, 2021 - Elsevier
Bayesian filtering based structural health monitoring algorithms typically assume stationary
white Gaussian noise models to represent an unknown input forcing. However, typical …

Identification of structural parameters and unknown inputs based on revised observation equation: approach and validation

J He, X Zhang, B Xu - International Journal of Structural Stability and …, 2019 - World Scientific
The identification of parameters of linear or nonlinear systems under unknown inputs and
limited outputs is an important but still challenging topic in the context of structural health …

A0 Lamb mode tracking to monitor crack evolution in thin aluminum plates using acoustic emission sensors

EY Dris, M Bentahar, R Drai, A El Mahi - Applied Sciences, 2022 - mdpi.com
This paper presents a real time monitoring methodology to identify the location of acoustic
emission (AE) sources generated by microcracks created within an aluminum plate when …