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Michele Meo

Researcher at University of Bath

Publications -  242
Citations -  6858

Michele Meo is an academic researcher from University of Bath. The author has contributed to research in topics: Nonlinear system & Structural health monitoring. The author has an hindex of 40, co-authored 223 publications receiving 5557 citations. Previous affiliations of Michele Meo include Vaughn College of Aeronautics and Technology & Cranfield University.

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On the optimal sensor placement techniques for a bridge structure

TL;DR: In this article, the problem of locating sensors on a bridge structure with the aim of maximizing the data information so that structural dynamic behavior can be fully characterised was considered, and six different optimal sensor placement techniques, three based on the maximisation of the Fisher information matrix (FIM), one on the properties of the covariance matrix coefficients, and two on energetic approaches, have been investigated.
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Prediction of Young's modulus of single wall carbon nanotubes by molecular-mechanics based finite element modelling

TL;DR: In this article, the authors proposed a Single Walled Carbon Nanotube (SWCNT) finite element (FE) model, based on the use of non-linear and torsional spring elements, to evaluate its mechanical properties.
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Recent Advances in Active Infrared Thermography for Non-Destructive Testing of Aerospace Components.

TL;DR: This review provides an exhaustive summary of most recent active thermographic methods used for aerospace applications according to their physical principle and thermal excitation sources.
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Structural health monitoring of bolted joints using linear and nonlinear acoustic/ultrasound methods

TL;DR: In this paper, the authors developed a reliable index able to assess the loosening/tightening health state of a bolted structure based on linear and nonlinear acoustic/ultrasound parameters.
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Detecting Damage in Composite Material Using Nonlinear Elastic Wave Spectroscopy Methods

TL;DR: In this article, two different nonlinear elastic wave spectroscopy (NEWS) methods are presented: single mode nonlinear resonance ultrasound (NRUS) and nonlinear wave modulation technique (NWMS).