Bayesian inversion with open-source codes for various one-dimensional model problems in computational mechanics

N Noii, A Khodadadian, J Ulloa, F Aldakheel… - … Methods in Engineering, 2022 - Springer
The complexity of many problems in computational mechanics calls for reliable
programming codes and accurate simulation systems. Typically, simulation responses …

Emergence of machine learning techniques in ultrasonic guided wave-based structural health monitoring: a narrative review

A Sattarifar, T Nestorović - International Journal of …, 2022 - papers.phmsociety.org
Identification of damage in its early stage can have a great contribution in decreasing the
maintenance costs and prolonging the life of valuable structures. Although conventional …

A novel multi-classifier information fusion based on Dempster–Shafer theory: application to vibration-based fault detection

V Yaghoubi, L Cheng… - Structural Health …, 2022 - journals.sagepub.com
Achieving a high prediction rate is a crucial task in fault detection. Although various
classification procedures are available, none of them can give high accuracy in all …

Comparison of Bayesian methods on parameter identification for a viscoplastic model with damage

E Adeli, B Rosić, HG Matthies, S Reinstaedler… - Metals, 2020 - mdpi.com
The state of materials and accordingly the properties of structures are changing over the
period of use, which may influence the reliability and quality of the structure during its life …

Deterioration and damage identification in building structures using a novel feature selection method

VR Gharehbaghi, EN Farsangi, TY Yang… - Structures, 2021 - Elsevier
Identifying structural defects in complex structures is one of the main objectives in real-world
structural health monitoring (SHM) applications. In this article, a signal-based supervised …

Inspection of various grain morphology parameters based on wave velocity measurements on three different granular materials

D Sarkar, M Goudarzy, T Wichtmann - Soil Dynamics and Earthquake …, 2022 - Elsevier
In this study, correlations between the shear wave velocity of granular materials and various
descriptors of grain morphology are investigated. Based on a comprehensive study of the …

Detection and localization of multiple small damages in beam

A Nayyar, U Baneen, SAZ Naqvi… - Advances in …, 2021 - journals.sagepub.com
Localizing small damages often requires sensors be mounted in the proximity of damage to
obtain high Signal-to-Noise Ratio in system frequency response to input excitation. The …

An ensemble classifier for vibration-based quality monitoring

V Yaghoubi, L Cheng, W Van Paepegem… - … Systems and Signal …, 2022 - Elsevier
Vibration-based quality monitoring of manufactured components often employs pattern
recognition methods. Albeit developing several classification methods, they usually provide …

Nanoscale design of 1D metal oxides derived from mixed Ni-MH battery/transition metal dust

S Maroufi, RK Nekouei, SS Mofarah… - Journal of Hazardous …, 2021 - Elsevier
Controllable recycling of End-of-life rechargeable nickel-metal hydride (Ni-MH) batteries and
by-products of steelmaking to added-value functional nanostructures is desired but …

Parameter identification of elastoplastic model for CuCrZr alloy by the neural network‐aided Bayesian inference

Z Chen, P Jin, R Li, Y Qi, G Cai - Fatigue & Fracture of …, 2023 - Wiley Online Library
The constitutive model serves as the foundation for executing structure analysis to obtain the
deformation and stress/strain. In this paper, a neural network‐assisted Bayesian parameter …