D
Diogo Ribeiro
Researcher at Polytechnic Institute of Porto
Publications - 80
Citations - 1234
Diogo Ribeiro is an academic researcher from Polytechnic Institute of Porto. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 11, co-authored 53 publications receiving 651 citations. Previous affiliations of Diogo Ribeiro include Instituto Superior de Engenharia do Porto.
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Non-contact measurement of the dynamic displacement of railway bridges using an advanced video-based system
TL;DR: In this article, a non-contact dynamic displacement measurement system for railway bridges based on video technology is presented, consisting of a high speed video camera, an optical lens, lighting lamps and a precision target, which can perform measurements with acquisition frame rates ranging from 64 fps to 500 fps.
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Finite element model updating of a bowstring-arch railway bridge based on experimental modal parameters
TL;DR: In this paper, the calibration of the numerical model of a bowstring-arch railway bridge based on modal parameters was performed using a genetic algorithm that allowed obtaining the optimal values of fifteen parameters.
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Finite element model calibration of a railway vehicle based on experimental modal parameters
TL;DR: In this paper, an experimental calibration of a three-dimensional numerical model of an Alfa Pendular train vehicle based on modal parameters was performed using a submodeling/multistep approach involving two phases.
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Assessment of train running safety on bridges: A literature review
P.A. Montenegro,Hermes Carvalho,Diogo Ribeiro,Rui Calçada,M. Tokunaga,M. Tanabe,Wanming Zhai +6 more
TL;DR: This paper aims to present a comprehensive literature review of the problematic associated with the train running safety assessment on bridges and gives a brief description of the available train-bridge interaction models needed to explicitly assess the traffic stability.
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Calibration of the numerical model of a stone masonry railway bridge based on experimentally identified modal parameters
TL;DR: In this paper, the calibration of a numerical model of a masonry arch railway bridge using dynamic modal parameters estimated from an ambient vibration test is presented. But the calibration methodology relied on a genetic algorithm strategy which allowed estimating and updating numerical model parameters, particularly the elastic properties of materials.