Sampling methods for solving Bayesian model updating problems: A tutorial

A Lye, A Cicirello, E Patelli - Mechanical Systems and Signal Processing, 2021 - Elsevier
This tutorial paper reviews the use of advanced Monte Carlo sampling methods in the
context of Bayesian model updating for engineering applications. Markov Chain Monte …

Bayesian calibration for Lamb wave propagation on a composite plate using a machine learning surrogate model

SF Leonardo de Paula, RO Teloli, S da Silva… - … Systems and Signal …, 2024 - Elsevier
This paper presents a new framework for stochastic updating of a finite element model for a
composite plate, considering the influence of temperature on Lamb wave propagation. The …

Good practices for designing and experimental testing of dynamically excited jointed structures: The Orion beam

RO Teloli, P Butaud, G Chevallier, S da Silva - Mechanical Systems and …, 2022 - Elsevier
This paper proposes a new lap-joint configuration, the so-called Orion beam. The new setup
is composed of two thin beams connected by three bolted joints with contact patches on …

A Bayesian approach for wavenumber identification of metamaterial beams possessing variability

MR Souza, D Beli, NS Ferguson, JRF Arruda… - Mechanical systems and …, 2020 - Elsevier
Recent developments in additive manufacturing have allowed for a number of innovative
designs in elastic metamaterials and phononic crystals used in several applications …

An interval effective independence method for optimal sensor placement based on non-probabilistic approach

C Yang, ZX Lu - Science China Technological Sciences, 2017 - Springer
This paper presents an interval effective independence method for optimal sensor
placement, which contains uncertain structural information. To overcome the lack of …

[HTML][HTML] Boundary condition modelling and identification for cantilever-like structures using natural frequencies

LIU Wei, Y Zhichun, W Le, GUO Ning - Chinese Journal of Aeronautics, 2019 - Elsevier
The actual boundary conditions of cantilever-like structures might be non-ideally clamped in
engineering practice, and they can also vary with time due to damage or aging. Precise …

[HTML][HTML] Full-field experiment-aided virtual modelling framework for inverse-based stochastic prediction of structures with elastoplasticity

Y Tian, Y Feng, D Ruan, Z Luo, C Yang, D Wu… - Computer Methods in …, 2024 - Elsevier
Forecasting of stochastic ductile failures in fabrication and service stages are challenging
tasks of advanced structures in practical engineering. Due to the prohibitive costs of …

[HTML][HTML] Modelling and identification of bolted truss structure with the use of design of experiment approach

K Szopa, M Iwaniec, J Iwaniec - Structures, 2020 - Elsevier
The paper concerns identification process of the structural model of the multiple degrees of
freedom bolted truss structure of complex geometry. In order to properly describe dynamic …

[HTML][HTML] Replacement of destructive pull-out test with modal analysis in primary fixation stability assessment of spinal pedicle screw

M Einafshar, A Hashemi… - Archives of Bone and Joint …, 2022 - ncbi.nlm.nih.gov
Background: Pedicle screw fixation devices are the predominant stabilization systems
adopted for a wide variety of spinal defects. Accordingly, both pedicle screw design and …

Bayesian data-driven framework for structural health monitoring of composite structures under limited experimental data

LPS Ferreira, RO Teloli, S da Silva… - Structural Health …, 2024 - journals.sagepub.com
Ultrasonic-guided waves can be used to monitor the health of thin-walled structures.
However, the run of experimental damage tests on materials like carbon fiber-reinforced …