António Francisco Tenreiro

Instituto de Engenharia Mecanica e Gestao Industrial

Portugal

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Articles (11)

Frequency-based k-Nearest Neighbors algorithm for electromechanical impedance based detection of damage in adhesive joints

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Year:

2025

On the design of unconventional testing machines for engineering testing – the case study of advanced joining processes unit

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Year:

2024

Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling

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Year:

2024

Void detection in structural adhesive joints using a k-Nearest Neighbors model with features from Electromechanical Impedance Spectroscopy

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Year:

2024

Influence of void damage on the electromechanical impedance spectra of Single Lap Joints

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Year:

2023

Numerical Design of a Thread-Optimized Gripping System for Lap Joint Testing in a Split Hopkinson Apparatus

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Year:

2023

On the Influence of Joining Processes on the Vibration of Structures

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Year:

2023

Damage Metrics for Void Detection in Adhesive Single-Lap Joints

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Year:

2023

Feature extraction and visualization for damage detection on adhesive joints, utilizing lamb waves and supervised machine learning algorithms

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Year:

2022

A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy

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Year:

2022

Design of a new pneumatic impact actuator of a Split Hopkinson Pressure Bar (SHPB) setup for tensile and compression testing of structural adhesives

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Year:

2021

Collaborators (6)

Eduardo Marques

Associate Professor

Faculty of Engineering of the University of Porto

PORTUGAL

Marco P. L. Parente

PORTUGAL

António Lopes

University of Porto

PORTUGAL

Lucas da Silva

Full Professor

Universidade do Porto Faculdade de Engenharia

PORTUGAL

Jorge Ambrosio

Full Professor

University of Lisbon

PORTUGAL

Mohammad Mehdi Kasaei

Instituto de Engenharia Mecanica e Gestao Industrial

PORTUGAL

António Francisco Tenreiro

Research Interests

Explore related searches

Contact this professor

Articles (11)

Frequency-based k-Nearest Neighbors algorithm for electromechanical impedance based detection of damage in adhesive joints

On the design of unconventional testing machines for engineering testing – the case study of advanced joining processes unit

Pattern recognition in electromechanical impedance spectroscopy damage detection of adhesive joints using multidimensional scaling

Void detection in structural adhesive joints using a k-Nearest Neighbors model with features from Electromechanical Impedance Spectroscopy

Influence of void damage on the electromechanical impedance spectra of Single Lap Joints

Numerical Design of a Thread-Optimized Gripping System for Lap Joint Testing in a Split Hopkinson Apparatus

On the Influence of Joining Processes on the Vibration of Structures

Damage Metrics for Void Detection in Adhesive Single-Lap Joints

Feature extraction and visualization for damage detection on adhesive joints, utilizing lamb waves and supervised machine learning algorithms

A review of structural health monitoring of bonded structures using electromechanical impedance spectroscopy

Design of a new pneumatic impact actuator of a Split Hopkinson Pressure Bar (SHPB) setup for tensile and compression testing of structural adhesives

Collaborators (6)

Eduardo Marques

Marco P. L. Parente

António Lopes

Lucas da Silva

Jorge Ambrosio

Mohammad Mehdi Kasaei

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