Resultados totales (Incluyendo duplicados): 33862
Encontrada(s) 3387 página(s)
Encontrada(s) 3387 página(s)
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
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/189334
Dataset. 2020
TOWARD THE NEW GENERATION OF SURGICAL MESHES WITH 4D RESPONSE: SOFT, DYNAMIC AND ADAPTABLE [DATASET]
- Lanzalaco, Sonia|||0000-0002-8604-5095
- Turón Dols, Pau
- Weis, Christine
- Mata, Christian
- Planas Cuchi, Eulàlia|||0000-0002-7053-3959
- Alemán Llansó, Carlos|||0000-0003-4462-6075
- Armelín Diggroc, Elaine Aparecida|||0000-0002-0658-7696
These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP3 of the European Project 4D-POLYSENSE., The present dataset reports the scientific results corresponding to a scientific study where a bidimensional (2D) polypropylene flexible mesh material has been converted into a fourth dimension (4D) dynamic system. The platform is composed by a fibres of isotactic polypropylene (iPP) mesh coated with thermosensitive poly(N-isopropylacrylamide-co-N,N'-methylene bis(acrylamide) (PNIPAAm-co-MBA) hydrogel, and undergoes variations in its geometry by reversible folding/unfolding behaviour. Folding and unfolding motion in aqueous solution of bilayer and monolayer systems composed by two or one layer of hydrogel, respectively, are reported in the present dataset. Furthermore, an infrared thermographic camera and an optical microscope were used to evaluate the macroscopic and microscopic structure stimulus response in air. Additionally, PP-g-PNIPAAm meshes showed an increase in the mechanical properties (bursting strength) with respect to the uncoated mesh.
DOI: http://hdl.handle.net/2117/189334, https://dx.doi.org/10.5821/data-2117-189334-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/189334
HANDLE: http://hdl.handle.net/2117/189334, https://dx.doi.org/10.5821/data-2117-189334-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/189334
PMID: http://hdl.handle.net/2117/189334, https://dx.doi.org/10.5821/data-2117-189334-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/189334
Ver en: http://hdl.handle.net/2117/189334, https://dx.doi.org/10.5821/data-2117-189334-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/189334
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353774
Dataset. 2021
DATASET 5ROUTINGMETRICS VANET BCN
- Lemus Cárdenas, Leticia
- Mezher, Ahmad Mohamad|||0000-0003-3263-0122
- Aguilar Igartua, Mónica|||0000-0002-6518-888X
We have created a representative dataset based on the collection of different traffic metrics from VANET simulations in urban scenarios. The five collected metrics that compose the dataset used to train and test our ML-based forwarding algorithm are available bandwidth, distance to destination, vehicles’ density, MAC layer losses, and vehicle’s trajectory. Notice that those metrics are gathered by the vehicles from the beacons periodically interchanged with the vehicles in their neighborhood (i.e., with vehicles within their transmission range). This way, nodes have local knowledge of the VANET, according to the decentralized nature inherent in VANETs.
DOI: http://hdl.handle.net/2117/353774, https://dx.doi.org/10.5821/data-2117-353774-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353774
HANDLE: http://hdl.handle.net/2117/353774, https://dx.doi.org/10.5821/data-2117-353774-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353774
PMID: http://hdl.handle.net/2117/353774, https://dx.doi.org/10.5821/data-2117-353774-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353774
Ver en: http://hdl.handle.net/2117/353774, https://dx.doi.org/10.5821/data-2117-353774-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353774
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
Dataset. 2019
HIGH PRESSURE ROLL CRUSHER MODELLING
- Anticoi Sudzuki, Hernán Francisco|||0000-0003-4316-5203
Using a previous mechanical characterization of two types of material, several lab-test work have been done. The data shows the particle size distribution of these tests, all the inputs and the model simulation presented in the related paper to this data base. The new mathematical approach use the operative conditions and the feed particle size distribution to obtain a product, which is compared with the lab-test results, An improved approach is presented to model the product particle size distribution resulting
from grinding in high-pressure roll crusher with the aim to be used in standard high-pressure grinding
rolls (HPGR). This approach uses different breakage distribution function parameter values for a
single particle compression condition and a bed compression condition. Two materials were used
for the experiments; altered Ta-bearing granite and a calc-silicate tungsten ore. A set of experiments
was performed with constant operative conditions, while varying a selected condition to study the
influence of the equipment set-up on the model. The material was comminuted using a previously
determined specific pressing force, varying the feed particle size, roll speed and the static gap.
A fourth group of experiments were performed varying the specific pressing force. Experimental
results show the high performance of the comminution in a high-pressure environment. The static
gap was the key in order to control the product particle size. A mathematical approach to predict
the product particle size distribution is presented and it showed a good fit when compared to
experimental data. This is the case when a narrow particle size fraction feed is used, but the fit
became remarkably good with a multi-size feed distribution. However, when varying the specific
pressing force in the case of the calc-silicate material, the results were not completely accurate.
The hypothesis of simultaneous single particle compression and bed compression for different size
ranges and with different parameters of the distribution function was probed and reinforced by
various simulations that exchanged bed compression parameters over the single particle compression
distribution function, and vice versa.
DOI: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
HANDLE: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
PMID: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
Ver en: http://hdl.handle.net/2117/168964, https://dx.doi.org/10.5821/data-2117-168964-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/168964
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353437
Dataset. 2021
VELOCITY PROFILE DISTRIBUTION IN STEEP CHANNELS WITH LOW RELATIVE SUBMERGENCE CONDITIONS
- Marin-Esteve, Blanca|||0000-0002-3468-5234
- Bateman Pinzón, Allen|||0000-0001-9980-6554
- Sosa Pérez, Raul
The data have been acquired during the experimental campaign carried out in the Steep Slope Flume at Morphodynamics Laboratory I of the GITS group in BarcelonaTech-Universtitat Politècnica de Catalunya.
Data published here comprise the measurements carried out in the laboratory related with velocity profiles in steep channels with low relative submergence.
Flume slope ranged between 2-10% and same bed material had been used (a basaltic gravel of 1.45 mm of main diameter) for all the experiments. 30 experiments were carried out with 165 velocity profile measurements.
DOI: http://hdl.handle.net/2117/353437, https://dx.doi.org/10.5821/data-2117-353437-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353437
HANDLE: http://hdl.handle.net/2117/353437, https://dx.doi.org/10.5821/data-2117-353437-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353437
PMID: http://hdl.handle.net/2117/353437, https://dx.doi.org/10.5821/data-2117-353437-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353437
Ver en: http://hdl.handle.net/2117/353437, https://dx.doi.org/10.5821/data-2117-353437-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/353437
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Dataset. 2020
COOPERATIVE LEARNING FOR END-TO-END DELAY MODELING IN MULTI-DOMAIN NETWORKS [DATASET]
- Ruiz Ramírez, Marc|||0000-0001-6429-6347
- Velasco Esteban, Luis Domingo|||0000-0002-7345-296X
This dataset has been used to generate part of the results included in the manuscript: "Cooperative Learning for End-to-End Delay Modeling in Multi-Domain Networks", submitted to IEEE Transactions on Network and Service Management (TNSM) at the time of publication of this dataset.
The dataset contains synthetic end-to-end (e2e) delay and traffic measurements for multidomain paths established in a network consisting in three domains. Paths traverse either two or three domains. Besides e2e monitoring data, routing information of the paths and the models used to compute the delay introduced for each domain (i.e. intra-domain delay components of total e2e delay) are provided.
Traffic and delay data were synthetically generated according to the CURSA-SQ methodology. For further details about it, please refer to the following reports: "The Logistic Queue Model", Tech. Rep. UPC-DAC-RR-GEN-2020-1 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-1.pdf) and "Validation of the CURSA-SQ Methodology", Tech. Rep. UPC-DAC-RR-GEN-2020-2 (Available online: https://people.ac.upc.edu/lvelasco/docs/research/UPC-DAC-RR-GEN-2020-2.pdf)
Proyecto: //
DOI: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
HANDLE: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
PMID: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
Ver en: http://hdl.handle.net/2117/333712, https://dx.doi.org/10.5821/data-2117-333712-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/333712
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
Dataset. 2020
MATERIAL, GEOMETRICAL AND IMPERFECTION CHARACTERISTICS OF STRUCTURAL STAINLESS STEELS AND MEMBERS [DATASET]
- Arrayago Luquin, Itsaso|||0000-0002-0054-9322
- Rasmussen, Kim J.R.
- Real Saladrigas, Esther|||0000-0003-1723-3380
This file includes data used in the calibration of statistical models for the different random variables affecting stainless steel members.
This data was used in the analysis carried out and reported in the publication:
Arrayago I., Rasmussen K.J.R., Real E.
Statistical analysis of the material, geometrical and imperfection characteristics of structural stainless steels and members
Journal of Constructional Steel Research 175, 106378, 2020.
DOI: https://doi.org/10.1016/j.jcsr.2020.106378
Measured and nominal values are listed for geometry-related data.
Measured values are listed for material, imperfection and residual stress data.
DOI: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
HANDLE: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
PMID: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
Ver en: http://hdl.handle.net/2117/330855, https://dx.doi.org/10.5821/data-2117-330855-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/330855
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Dataset. 2017
PREDICTING INSTRUMENTAL MASS FRACTIONATION (IMF) OF STABLE ISOTOPE SIMS ANALYSES BY RESPONSE SURFACE METHODOLOGY (RSM) [DATASET]
- Parcerisa Duocastella, David|||0000-0001-8071-9936
- Rossell Garriga, Josep Maria|||0000-0002-5631-5357
- Fàbrega Alsina, Carles
- Gurenko, Andrey
- Franke, Christine
The dataset contains four files. File S1 corresponds to cathodoluminescence and BSE images of standard minerals. File S2 contains geochemical data of mineral standards ans samples obtained by SIMS and EPMA. File S3 contains the parameters used to obtain response surface models of IMF in mineral standards. File S4 is a response surface methodology tutorial., Instrumental mass fractionation (IMF) of isotopic SIMS analyses (Cameca 1280HR, CRPG Nancy) was predicted by response surface methodology (RSM) for 18O/16O determinations of plagioclase, K-feldspar and quartz. The three predictive response surface models combined instrumental and compositional inputs. The instrumental parameters were: (i) X and Y position, (ii) LT1DefX and LT1DefY electrostatic deflectors, (iii) chamber pressure and, (iv) primary-ion beam intensity. The compositional inputs included: (i) anorthite content (An%) for the plagioclase model and, (ii) orthoclase (Or%) and barium (BaO%) contents for the K-feldspar model. The three models reached high predictive powers. The coefficients R2 and prediction-R2 were, respectively, 90.47% and 86.74% for plagioclase, 87.56% and 83.17% for K-feldspar and 94.29% and 91.59% for quartz. The results show that RSM can be confidently applied to IMF prediction in stable isotope SIMS analyses by the use of instrumental and compositional variables.
DOI: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
HANDLE: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
PMID: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
Ver en: http://hdl.handle.net/2117/102417, https://dx.doi.org/10.5821/data-2117-102417-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/102417
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
Dataset. 2020
POLYPROPYLENE MESH FOR HERNIA REPAIR WITH CONTROLLABLE CELL ADHESION/DE-ADHESION PROPERTIES [DATASET]
- Lanzalaco, Sonia|||0000-0002-8604-5095
- Valle Mendoza, Luis Javier del|||0000-0001-9916-1741
- Turón Dols, Pau
- Weis, Christine
- Estrany Coda, Francesc|||0000-0002-2696-1489
- Alemán Llansó, Carlos|||0000-0003-4462-6075
- Armelín Diggroc, Elaine Aparecida|||0000-0002-0658-7696
These data are associated to the paper with the same title and are structured according to the figures in the paper. These data correspond to the research results of the WP2 of the European Project 4D-POLYSENSE., The present dataset collects and reports the scientific results corresponding to a scientific study of a commercial and fully flexible versatile bilayer system, composed by a polypropylene (PP) mesh and a covalently bonded poly(N-isopropylacrylamide) (PNIPAAm) hydrogel. In this study the mechanism responsible for cell-adhesion and de-adhesion, when the PNIPAAm-co-MBA monolayer film (adherent on one hand to the PP substrate and anti-adherent on the other hand to cell proliferation) is being employed, has been elucidated. The grafting of the hydrogel was studied and the the graft yield as well as the spectroscopic characterization (FTIR and XPS) of samples treated at different concentration of the crosslinker and different grafting time are ported in the present dataset. The scientific results of cell adhesion and biocompatibility assay are also included, being the in vitro results with fibroblast (COS-1) and epithelial (MCF-7) cells obtained with a mesh modified with a porous iPP-g-PNIPAAm bilayer system, prepared via PNIPAAm grafting for 2 h at the lowest N,NI-methylene bis(acrylamide) (MBA) concentration (1 mM).
DOI: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
HANDLE: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
PMID: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
Ver en: http://hdl.handle.net/2117/187590, https://dx.doi.org/10.5821/data-2117-187590-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/187590
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
Dataset. 2018
GEOCHEMICAL DATA OF ALBITIZED PROFILES IN EUROPE
DADES GEOQUÍMIQUES DE PERFILS ALBITITZATS A EUROPA
- Fàbrega Alsina, Carles
- Parcerisa Duocastella, David|||0000-0001-8071-9936
- Gómez-Gras, David
- Travé, Anna
- Thiry, Médard
- Franke, Christine
- Gurenko, Andrey
- Solé, Jesús
Analitical data of several minerals (quartz, K-feldspar, plagioclase, Monazite) of the albitized granites of the Variscan basement in Europe. The samples come from the Catalan Coastal Ranges, the Pyrenees, the Morvan massif and the Sudetes. Most of this data have been used in several papers and in the Cares Fàbrega PhD Thesis.
DOI: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
HANDLE: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
PMID: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
Ver en: http://hdl.handle.net/2117/114114, https://dx.doi.org/10.5821/data-2117-114114-1
UPCommons. Portal del coneixement obert de la UPC
oai:upcommons.upc.edu:2117/114114
Buscador avanzado