9 documents found, page 1 of 1

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Machine Learning Methodologies for Damage Identification

Maria Lurdes Simões; Rúben Silva; Araliya Mosleh; Andreia Meixedo; Diogo Ribeiro; António Guedes


Statistical Descriptive Analysis of Portuguese Public Procurement Data from 201...

Luís Jacques de Sousa; Maria Lurdes Simões; João Poças Martins; Luís Sanhudo; Jorge Moreira da Costa

During the tender phase of public construction projects in Portugal, documents that describe the project are mandatorily submitted to open data repositories. However, in their current state, most of these repositories do not allow for benchmarking analysis due to a lack of data treatment and cohesion. This paper seeks to diagnose the main trends during the public construction project's tender phase by performin...


Towards an airtightness compliance tool based on machine learning models for na...

Maria Lurdes Simões; Vitor Cardoso

Physical models and probabilistic applications often guide the study and characterization of natural phenomena in engineering. Such is the case of the study of air change rates (ACHs) in buildings for their complex mechanisms and high variability. It is not uncommon for the referred applications to be costly and impractical in both time and computation, resulting in the use of simplified methodologies and setup...




Influence of track and vehicle wheel damages in the train running safety

Maria Lurdes Simões; Cecília Vale; Pedro Aires Montenegro; Rúben Silva


Infrared Thermography to Evaluate Thermal Comfort under Controlled Ambient Cond...

Almeida, RMSF; Eva Barreira; Maria Lurdes Simões; Sousa, TSF

Infrared thermography (IRT) is often used to assess body temperature and can be useful as a diagnostic tool to detect human diseases. Despite this clear application in medicine, some studies can be found in the literature pointing to the use of IRT to measure body temperature as a parameter to evaluate thermal comfort inside buildings. However, there are still some issues that are understudied that this paper t...


A framework for in-situ geometric data acquisition using laser scanning for BIM...

Sanhudo, L; Nuno Ramos; Martins, JP; Almeida, RMSF; Eva Barreira; Maria Lurdes Simões; Cardoso, V

Laser scanning, as a rising topic within the Architecture, Engineering and Construction (AEC) industry, has been increasing both in importance and practice as a means of gathering in-situ geometric data. Several studies have covered possible applications of this technology, from construction monitoring to damage assessment, with Building Information Modelling (BIM) being one of its focus. Despite this, to prese...


A case study to improve the winter thermal comfort of an existing bus station

Rocha, A; Pinto, D; Nuno Ramos; Almeida, RMSF; Eva Barreira; Maria Lurdes Simões; Martins, JP; Pedro Pereira; Sanhudo, L

The thermal comfort retrofitting of existing transport stations is an opportunity to increase the interest in the use of public transportation while improving the performance of the building, and consequently reduce the energy consumption and greenhouse gas emissions. The aim of this study is to implement an innovative methodology to evaluate and improve the thermal comfort of an existing semi-outdoor bus stati...


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