Suchergebnisse

This work provides an unsupervised learning approach based on a single-valued performance indicator to monitor the global behavior of critical components in a viaduct, such as bearings. We propose an outlier detection method for longitudinal displacements to assess the behavior of a singular asymmetric prestressed concrete structure with a 120 m high central pier acting as a fixed point. We first show that the available long-term horizontal displacement measurements recorded during the undamaged state exhibit strong correlations at the different locations of the bearings. Thus, we combine measurements from four sensors to design a robust performance indicator that is only weakly affected by temperature variations after the application of principal component analysis. We validate the method and show its efficiency against false positives and negatives using several metrics: accuracy, precision, recall, and F1 score. Due to its unsupervised learning scope, the proposed technique is intended to serve as a real-time supervision tool that complements maintenance inspections. It aims to provide support for the prioritization and postponement of maintenance actions in bridge management. ; Authors would like to acknowledge the discussions with Marcos Pantaleón from APIA XXI, Ambher Monitoring Systems and Banobras S.N.C. This work has received funding from the European's Union Horizon 2020 research and innovation program under the grant agreement No 690660 (RAGTIME Project) and No 769373 (FORESEE Project). This paper reflects only the author's views. The European Commission and INEA are not responsible for any use that may be made of the information contained therein. David Pardo has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 777778 (MATHROCKS), the European POCTEFA 2014-2020 Project PIXIL (EFA362/19) by the European Regional Development Fund (ERDF) through the Interreg V-A Spain-France-Andorra program, the Project of the Spanish Ministry of Science and Innovation with reference PID2019-108111RBI00 (FEDER/AEI), the BCAM "Severo Ochoa" accreditation of excellence (SEV-2017-0718), and the Basque Government through the BERC 2018-2021 program, the two Elkartek projects 3KIA (KK-2020/00049) and MATHEO (KK-2019-00085), the grant "Artificial Intelligence in BCAM number EXP. 2019/00432", and the Consolidated Research Group MATHMODE (IT1294-19) given by the Department of Education.

Se presentan los primeros resultados de las excavaciones efectuadas en el asentamiento del Tossal de la Vila. En el yacimiento se han localizado ocupaciones pertenecientes a los siglos VIII y principios del VII ANE, cuya finalización van asociadas a un incendio, lo que ha permitido recuperar un registro material notable. Posteriormente, en el siglo X de la Era se establece sobre los restos antiguos un emplazamiento militar de época islámica, que afecta desigualmente los restos anteriores. En este trabajo se presentan los primeros datos sobre la ocupación del Bronce Final-Hierro Antiguo. ; We present the results of excavations carried out in the Tossal de la Vila settlement. At the site, we have identified human occupations of the VIII century and the beginning of the VII BC, finished by fire, which has permitted the recovery of a notable inventory of archaeological material. Later, in the tenth century, an Islamic military emplacement was established over the ancient remains. In this work, we present the first results about the first occupation of the final of the Bronze Age and the beginning of the old-iron age.