J
José C. Matos
Researcher at University of Minho
Publications - 190
Citations - 1106
José C. Matos is an academic researcher from University of Minho. The author has contributed to research in topics: Computer science & Standardization. The author has an hindex of 16, co-authored 166 publications receiving 809 citations. Previous affiliations of José C. Matos include University of Porto & Federal University of Piauí.
Papers
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An innovative adaptive sparse response surface method for structural reliability analysis
TL;DR: In this article, the analysis and mitigation of Risks in infrastructures InfraRisk-2015 under the PhD Programme “Analysis and Mitigation of risks in Infrastructure Infrasrisk-” is presented.
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Sequencing, cloning and expression of the dsz genes required for dibenzothiophene sulfone desulfurization from Gordonia alkanivorans strain 1B
Luís Alves,M. Melo,Diogo Mendonça,Fernanda Simões,José C. Matos,Rogério Tenreiro,Francisco M. Gírio +6 more
TL;DR: This recombinant strain was able to grow in a culture medium containing dibenzothiophene sulfone (DBTS) as the only sulfur source desulfurizing the same amount of DBTS but 4.5-fold faster than strain 1B, showing no sulfate repression of the dszAB genes expression.
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Fragility curves for free and restrained rocking masonry façades in one-sided motion
TL;DR: In this article, a reliability analysis was carried out by considering over 70 earthquakes, of which 50 recorded during the recent 2016-2017 Central Italy Earthquake, and the most efficient intensity measures (IMs) were identified for three masonry facades of churches in free and restrained conditions.
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Reliability-based assessment of existing masonry arch railway bridges
TL;DR: In this paper, the authors present and discuss a framework that allows to determine the ultimate load-carrying capacity (Ultimate Limit State) of masonry arch bridges, using limit analysis and probabilistic approaches.
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Visual inspection and bridge management
TL;DR: In this article, a Bayesian pre-posterior analysis is employed to estimate visual inspection quantitatively prior to its implementation in a bridge management system using a Value of Information (VoI) approach.