Resultados totales (Incluyendo duplicados): 45562
Encontrada(s) 4557 página(s)
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/342638
Dataset. 2021

DURCWAVE - CIEM

  • Altomare, Corrado|||0000-0001-8817-0431
  • Gironella Cobos, Xavier|||0000-0002-8862-5704
  • Sospedra Iglesias, Joaquim|||0000-0003-4207-7922
The data refer to an experimental campaign carried out to characterize the forces involved in the failure of the Pont del Petroli (Badalona, Catalonia) due to the storm Gloria happened in the night of the 20 January 2020. The experiments were carried out in the CIEM (Canal d’Investigació i Experimentació Marítima) wave flume in the Laboratory of Maritime Engineering of the UPC (Universitat Politecnica de Catalunya - BarcelonaTech, Barcelona, Catalonia)., Data include measurements of water surface elevation along the wave flume and wave loading (forces + pressures) on elements of the pier. Both raw and post-processed data are provided.

DOI: http://hdl.handle.net/2117/342638, https://dx.doi.org/10.5821/data-2117-342638-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/342638
HANDLE: http://hdl.handle.net/2117/342638, https://dx.doi.org/10.5821/data-2117-342638-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/342638
PMID: http://hdl.handle.net/2117/342638, https://dx.doi.org/10.5821/data-2117-342638-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/342638
Ver en: http://hdl.handle.net/2117/342638, https://dx.doi.org/10.5821/data-2117-342638-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/342638

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
Dataset. 2019

HIGH PRESSURE GRINDING ROLLS MODELLING AND PARAMETERS DEPENDENCY

  • Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
The data base is related to the High Pressure Grinding Rolls (HPGR) modelling. This data was generated in a HPGR manufacturer pilot plant in Freiberg, Germany, and represents the particle size distribution measurement of the feed and the product of the milling reactor, and the calculation of some material features, as the moisture or the density. This data is necessary for the correct modelization of the comminution in a HPGR, and it can be used for different mathematical models., A model for High Pressure Grinding Rolls (HPGR) was developed in this work based on the widely used Population Balance Model (PBM). This approach uses a variety of different functions one of which is the breakage distribution function. The methodology to determine the function parameters is presented and using these values, the model was compared with real processed materials from an HPGR pilot plant, with tungsten ore as the test material. The results of the model parameter determination, and the product of the comminution in the HPGR, showed the dependency of material breakage on the material characteristics, and on the operative and process conditions. The model presented is reasonably robust, showing less error than the 3.0 Root Mean Square Error when compared with a heterogeneous feed particle size distribution material. The operational gap was also studied, and its dependency on the feed particle size, porosity, moisture, and specific pressing force was proven.

DOI: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
HANDLE: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
PMID: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056
Ver en: http://hdl.handle.net/2117/169056, https://dx.doi.org/10.5821/data-2117-169056-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/169056

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337124
Dataset. 2021

METHODOLOGY FOR THE SIZING OF A HYBRID ENERGY STORAGE SYSTEM IN LOW VOLTAGE DISTRIBUTION GRIDS [DATASET]

  • Girbau Llistuella, Francesc|||0000-0002-2206-4019
  • Díaz González, Francisco|||0000-0002-1912-3014
  • Sumper, Andreas|||0000-0002-5628-1660
  • Aragüés Peñalba, Mònica|||0000-0002-1509-376X
  • Candido, Luisa
  • Gallart Fernánez, Ramon
Data include the active (kW) and reactive (kvar) power for the pilot area of H2020 RESOLVD project, each item in one column and with a time step of one hour and one year length.

DOI: http://hdl.handle.net/2117/337124, https://dx.doi.org/10.5821/data-2117-337124-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337124
HANDLE: http://hdl.handle.net/2117/337124, https://dx.doi.org/10.5821/data-2117-337124-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337124
PMID: http://hdl.handle.net/2117/337124, https://dx.doi.org/10.5821/data-2117-337124-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337124
Ver en: http://hdl.handle.net/2117/337124, https://dx.doi.org/10.5821/data-2117-337124-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337124

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337041
Dataset. 2021

ANALYTICAL DEAD-BAND COMPENSATION FOR ZCS MODULATION APPLIED TO HYBRID SI-SIC DUAL ACTIVE BRIDGE [DATASET]

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  • Capó Lliteras, Macià|||0000-0003-2051-5311
  • Heredero Peris, Daniel|||0000-0002-6118-0928
  • Díaz González, Francisco|||0000-0002-1912-3014
  • Llonch Masachs, Marc|||0000-0003-1003-6720
  • Montesinos Miracle, Daniel|||0000-0003-3983-0514
Data include the voltage and current at the transformer terminals, also the measured current losses from applying various switching strategies. This data serves to reproduce Figure 18 and 19 in the paper.

DOI: http://hdl.handle.net/2117/337041, https://dx.doi.org/10.5821/data-2117-337041-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337041
HANDLE: http://hdl.handle.net/2117/337041, https://dx.doi.org/10.5821/data-2117-337041-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337041
PMID: http://hdl.handle.net/2117/337041, https://dx.doi.org/10.5821/data-2117-337041-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337041
Ver en: http://hdl.handle.net/2117/337041, https://dx.doi.org/10.5821/data-2117-337041-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/337041

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/335910
Dataset. 2021

QUALITY MEASUREMENT IN AGILE AND RAPID SOFTWARE DEVELOPMENT: A SYSTEMATIC MAPPING [DATASET]

  • López Cuesta, Lidia|||0000-0002-6901-9223
  • Burgués Illa, Xavier|||0000-0001-6974-9886
  • Martínez Fernández, Silverio Juan|||0000-0001-9928-133X
  • Vollmer, Anna Maria
  • Behutiye, Woubshet
  • Karhapää, Pertti
  • Franch Gutiérrez, Javier|||0000-0001-9733-8830
  • Rodriguez, Pilar
  • Oivo, Markku
The dataset contains the following files: (1) readme.txt, it is a text file including details about the content of the dataset; (2) Measurement in ARSD_SMS_Data.xls, it is a MS Excel file containing the data used in the analysis of the primary studies, reported in Section 4 of the paper; and, (3) Metrics in ARSD.pdf, it is pdf file containing the complete list of metrics reported in the different primary studies. The metrics are classified into the following categories: QR metrics, QMIs, and QMI metrics. In the MS Excel file, the data is organised in separated sheets: (a) RQ1 - Literature characterisation; (b) RQ2 - QR Metrics, where QR refers to Quality Requirements; (c) RQ3 - QMI, where QMI refers to Quality Management Indicators; (d) RQ3 - Tools, corresponding to the reported tools used to manage QMIs; and, (e) RQ3 - QMI Metrics., This dataset has been used to generate part of the results included in the manuscript: “Quality Measurement in Agile and Rapid Software Development: A Systematic Mapping”, submitted to the Information and Software Technology journal (IST) at the time of publishing this dataset. The paper reports the results of a systematic mapping study surveying the literature related to quality requirements management through metrics in agile and rapid software development processes. The dataset contains the data extracted from the primary studies that was used in the analysis phase of the study and reported in the results section of the paper. The data extracted from the primary studies has been complemented with some data used for specific purposes, e.g. during the analysis phase, we included the list of companies collaborating in the paper analysing the authors’ affiliations to understand the level of implication of companies in the field. Complementing the data analysed, the dataset includes some detailed results that are not included in the body of the paper, i.e., the list of metrics reported in the selected primary studies.

DOI: http://hdl.handle.net/2117/335910, https://dx.doi.org/10.5821/data-2117-335910-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/335910
HANDLE: http://hdl.handle.net/2117/335910, https://dx.doi.org/10.5821/data-2117-335910-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/335910
PMID: http://hdl.handle.net/2117/335910, https://dx.doi.org/10.5821/data-2117-335910-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/335910
Ver en: http://hdl.handle.net/2117/335910, https://dx.doi.org/10.5821/data-2117-335910-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/335910

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/372547
Dataset. 2022

STIFFNESS OF RANDOMLY SAMPLED STAINLESS STEEL FRAMES UNDER GRAVITY AND GRAVITY PLUS WIND LOAD SCENARIOS

  • Arrayago Luquin, Itsaso|||0000-0002-0054-9322
  • Rasmussen, Kim J.R.
This file includes data on system vertical and lateral stiffness of stainless steel frames under gravity and gravity plus wind load scenarios obtained from the finite element simulations carried out on six stainless steel frames.

DOI: http://hdl.handle.net/2117/372547, https://dx.doi.org/10.5281/zenodo.6976116
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/372547
HANDLE: http://hdl.handle.net/2117/372547, https://dx.doi.org/10.5281/zenodo.6976116
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/372547
PMID: http://hdl.handle.net/2117/372547, https://dx.doi.org/10.5281/zenodo.6976116
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/372547
Ver en: http://hdl.handle.net/2117/372547, https://dx.doi.org/10.5281/zenodo.6976116
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/372547

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/131938
Dataset. 2019

MODELS_CASES_1-6

  • Vives i Costa, Jordi|||0000-0003-3854-775X
Numerical Model for a 19th Century Hydrometric (Case 1: 1000 L/s inlet flow). Aquests datasets són els models numèrics que corresponen als 6 casos de simulacions fetes amb el software de CFD anomenat Flow3D.

DOI: http://hdl.handle.net/2117/131938, https://dx.doi.org/10.5821/data-2117-131938-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/131938
HANDLE: http://hdl.handle.net/2117/131938, https://dx.doi.org/10.5821/data-2117-131938-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/131938
PMID: http://hdl.handle.net/2117/131938, https://dx.doi.org/10.5821/data-2117-131938-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/131938
Ver en: http://hdl.handle.net/2117/131938, https://dx.doi.org/10.5821/data-2117-131938-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/131938

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/365018
Dataset. 2022

ULTIMATE LOAD OF RANDOMLY SAMPLED STAINLESS STEEL FRAMES UNDER GRAVITY PLUS WIND LOADS

  • Arrayago Luquin, Itsaso|||0000-0002-0054-9322
  • Rasmussen, Kim J.R.
  • Zhang, Hao
Data was generated using the general purpose finite element software ABAQUS and performing advanced nonlinear analyses. The database is comprised of ultimate load factors corresponding to different random samples of six different nominal stainless steel frames under gravity and wind load combinations. The values of the random variable assignments are given for each case. The full details of the finite element model can be found in: Arrayago, I.; Rasmussen, K.J.R.; Zhang, H. System-based reliability analysis of stainless steel frames subjected to wind loads. "Structural Safety", July 2022, vol. 97, art. No. 102211. DOI: https://doi.org/10.1016/j.strusafe.2022.102211

DOI: http://hdl.handle.net/2117/365018, https://dx.doi.org/10.5821/data-2117-365018-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/365018
HANDLE: http://hdl.handle.net/2117/365018, https://dx.doi.org/10.5821/data-2117-365018-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/365018
PMID: http://hdl.handle.net/2117/365018, https://dx.doi.org/10.5821/data-2117-365018-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/365018
Ver en: http://hdl.handle.net/2117/365018, https://dx.doi.org/10.5821/data-2117-365018-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/365018

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364349
Dataset. 2022

SELECTIVELY TARGETING TUMORIGENICITY IN OSTEOSARCOMA

  • Tornin Cavielles, Juan|||0000-0002-7676-3958
  • Mateu Sanz, Miguel|||0000-0001-5117-6071
  • Rey, Verónica
  • Murillo, Dzohara
  • Huergo, Carmen
  • Rodríguez, Aida
  • Rodríguez, René
  • Canal Barnils, Cristina|||0000-0002-3039-7462
Data associated with the study called "Selectively targeting tumorigenicity in osteosarcoma". Each file corresponds to the raw data of one of the figures of the paper

DOI: http://hdl.handle.net/2117/364349, https://dx.doi.org/10.5821/data-2117-364349-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364349
HANDLE: http://hdl.handle.net/2117/364349, https://dx.doi.org/10.5821/data-2117-364349-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364349
PMID: http://hdl.handle.net/2117/364349, https://dx.doi.org/10.5821/data-2117-364349-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364349
Ver en: http://hdl.handle.net/2117/364349, https://dx.doi.org/10.5821/data-2117-364349-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/364349

UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/362987
Dataset. 2022

INFLUENCE OF THE IMPERFECTION DIRECTION ON THE STRENGTH OF STEEL AND STAINLESS STEEL FRAMES [DATASET]

  • Arrayago Luquin, Itsaso|||0000-0002-0054-9322
  • Rasmussen, Kim J.R.
This file includes finite element simulation data (ultimate load factors) carried out on 60 steel and stainless steel frames, including regular and irregular frame configurations with different section sizes. Ultimate load factors corresponding to different initial imperfection combinations are included.

DOI: http://hdl.handle.net/2117/362987, https://dx.doi.org/10.5821/data-2117-362987-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/362987
HANDLE: http://hdl.handle.net/2117/362987, https://dx.doi.org/10.5821/data-2117-362987-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/362987
PMID: http://hdl.handle.net/2117/362987, https://dx.doi.org/10.5821/data-2117-362987-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/362987
Ver en: http://hdl.handle.net/2117/362987, https://dx.doi.org/10.5821/data-2117-362987-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/362987

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