António P.V. Urgueira
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
António P.V. Urgueira has a total of 13 co-authors. Here are the top co-authors by number of shared publications:
- Raquel A. B. Almeida
Unidade de Investigação e Desenvolvimento em Engenharia Mecânica e Industrial—UNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal
10 shared publications - Nuno M. M. Maia
IDMEC, Instituto Superior Tecnico, Universidade de Lisboa, Lisboa, Portugal
7 shared publications A.R. Janeiro Borges
2 shared publications- Daniel C. Vaz
UNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Universidade NOVA de Lisboa, 1099-085 Lisbon, Portugal
2 shared publications - Rui P. C. Sampaio
Instituto Superior Técnico
2 shared publications - Eric Didier
Hydraulics and Environment Department, National Laboratory for Civil Engineering, Av. do Brasil 101, 1700-066 Lisboa, Portugal
1 shared publication
Latest Publications
- Open Access
- 2 February 2018
- Published by EDP Sciences in MATEC Web of Conferences
- Vol. 148, 01003
Experimental Determination of Rigid Body Properties: An Evaluation on the Use of Piezoelectric or MEMS Tri-Axial Accelerometers
The development of new sensors that are available at more accessible prices may lead to the spread of their use on common studies in structural dynamics. One of areas of interest is the experimental determination of rigid body properties that are mandatory when the vibration response is to be calculated at low frequency ranges. In this work, a comparison of the experimental determination of rigid body properties is carried out to evaluate the performance of the commonly used tri-axial piezoelectric accelerometers and their equivalent MEMS sensors. Although their prices are quite different, both sensors can measure the inertia restraint line that is related to the inertia properties of the tested object. An identification algorithm is applied to the frequency response functions obtained by using both sensors, leading to the estimation of the body mass value, as well as the three coordinates of the centre of mass and the six elements of the inertia tensor. An experimental example supports the use of the referred low-cost sensors.
- 2 February 2018
- Published by EDP Sciences in MATEC Web of Conferences
- Vol. 148, 01003
Open AccessExperimental Determination of Rigid Body Properties: An Evaluation on the Use of Piezoelectric or MEMS Tri-Axial Accelerometers
The development of new sensors that are available at more accessible prices may lead to the spread of their use on common studies in structural dynamics. One of areas of interest is the experimental determination of rigid body properties that are mandatory when the vibration response is to be calculated at low frequency ranges. In this work, a comparison of the experimental determination of rigid body properties is carried out to evaluate the performance of the commonly used tri-axial piezoelectric accelerometers and their equivalent MEMS sensors. Although their prices are quite different, both sensors can measure the inertia restraint line that is related to the inertia properties of the tested object. An identification algorithm is applied to the frequency response functions obtained by using both sensors, leading to the estimation of the body mass value, as well as the three coordinates of the centre of mass and the six elements of the inertia tensor. An experimental example supports the use of the referred low-cost sensors.
- 1 September 2016
- Published by Elsevier in Journal of Wind Engineering and Industrial Aerodynamics
- Vol. 156, 72-83
Improving the aerodynamic performance of Vila-Real Bridge deck-section
- 1 September 2016
- Published by Elsevier in Journal of Wind Engineering and Industrial Aerodynamics
- Vol. 156, 72-83
Improving the aerodynamic performance of Vila-Real Bridge deck-section
- 1 May 2016
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 72-73, 629-641
A simple damage detection indicator using operational deflection shapes
- 1 May 2016
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 72-73, 629-641
A simple damage detection indicator using operational deflection shapes
- 1 October 2012
- Published by Elsevier in Sensors and Actuators A: Physical
- Vol. 185, 44-52
Using ring strain sensors to measure dynamic forces in wind-tunnel testing
- 1 October 2012
- Published by Elsevier in Sensors and Actuators A: Physical
- Vol. 185, 44-52
Using ring strain sensors to measure dynamic forces in wind-tunnel testing
- 31 March 2012
- Published by Springer Nature
- p. 137-151
An Overview of the Transmissibility Concept and Its Application to Structural Damage Detection
- 31 March 2012
- Published by Springer Nature
- p. 137-151
An Overview of the Transmissibility Concept and Its Application to Structural Damage Detection
- 1 October 2011
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 25 (7) , 2475-2483
Damage detection and quantification using transmissibility
- 1 October 2011
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 25 (7) , 2475-2483
Damage detection and quantification using transmissibility
- 1 April 2011
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 25 (3) , 940-951
On the use of the transmissibility concept for the evaluation of frequency response functions
- 1 April 2011
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 25 (3) , 940-951
On the use of the transmissibility concept for the evaluation of frequency response functions
- 1 July 2010
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 24 (5) , 1391-1408
Further developments on the estimation of rigid body properties from experimental data
- 1 July 2010
- Published by Elsevier in Mechanical Systems and Signal Processing
- Vol. 24 (5) , 1391-1408
Further developments on the estimation of rigid body properties from experimental data
- Open Access
- 1 January 2008
- Published by Wiley in Shock and Vibration
- Vol. 15 (3-4) , 467-479
Evaluation of the Performance of Three Different Methods Used in the Identification of Rigid Body Properties
The identification of the rigid body properties of a structure is an important matter in various structural dynamic applications, namely in structural modification (coupling/uncoupling), optimization and vibration control. In most situations, the experimental route is the only via to obtain the desired dynamic properties. This goal is achieved by an inverse process which starts from the measurement of Frequency Response Functions (FRFs) and ends on matrices describing the mass distribution of a rigid body.The objective of the present article is the evaluation and comparison of the performance of three different kinds of identification methods that share a common characteristic – they all use FRFs as inputs to the inverse process. One of them, the Inertia Restraint Method (IRM) makes use of the accelerance FRF (information condensed at zero frequency), while the other two methods make use of receptance FRFs as inputs, although in different manners; in one of them the properties are evaluated directly from the measurement data – Direct Physical Parameter Identification Method (DPPIM) – whereas the other type requires a modal identification procedure as an intermediate step – Modal Method (MM). An actual experimental structure forms the case study to illustrate the performance of the three different techniques.
- 1 January 2008
- Published by Wiley in Shock and Vibration
- Vol. 15 (3-4) , 467-479
Open AccessEvaluation of the Performance of Three Different Methods Used in the Identification of Rigid Body Properties
The identification of the rigid body properties of a structure is an important matter in various structural dynamic applications, namely in structural modification (coupling/uncoupling), optimization and vibration control. In most situations, the experimental route is the only via to obtain the desired dynamic properties. This goal is achieved by an inverse process which starts from the measurement of Frequency Response Functions (FRFs) and ends on matrices describing the mass distribution of a rigid body.The objective of the present article is the evaluation and comparison of the performance of three different kinds of identification methods that share a common characteristic – they all use FRFs as inputs to the inverse process. One of them, the Inertia Restraint Method (IRM) makes use of the accelerance FRF (information condensed at zero frequency), while the other two methods make use of receptance FRFs as inputs, although in different manners; in one of them the properties are evaluated directly from the measurement data – Direct Physical Parameter Identification Method (DPPIM) – whereas the other type requires a modal identification procedure as an intermediate step – Modal Method (MM). An actual experimental structure forms the case study to illustrate the performance of the three different techniques.