Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3920
2017-11-18T19:56:13ZCaracterísticas de la siniestralidad laboral del sector minero español de productos de cantera y rocas ornamentales en los períodos 2003-2008 y 2009-2014
http://hdl.handle.net/2117/110821
Características de la siniestralidad laboral del sector minero español de productos de cantera y rocas ornamentales en los períodos 2003-2008 y 2009-2014
Sanmiquel Pera, Lluís; Bascompta Massanes, Marc; Anticoi Sudzuki, Hernán Francisco; Rossell Garriga, Josep Maria; Freijo Álvarez, Modesto
2017-11-17T10:34:15ZSanmiquel Pera, LluísBascompta Massanes, MarcAnticoi Sudzuki, Hernán FranciscoRossell Garriga, Josep MariaFreijo Álvarez, ModestoCombined heat and power using high temperature proton exchange membrane fuel cells for comfort applications
http://hdl.handle.net/2117/110267
Combined heat and power using high temperature proton exchange membrane fuel cells for comfort applications
Sanz i López, Víctor; Costa Castelló, Ramon; Batlle Arnau, Carles
Global concerns about nowadays’ energy shortage problems as well as climate change eects have encouraged alternatives to classical energy sources such as fossil fuels and nuclear power plants. In this context, combined heat and power is presented as a useful option due to its ability of generating both electrical and thermal energy more eciently than conventional methods. Regarding this, high temperature proton exchange membrane fuel cells are not only a reliable way of implementing combined heat and power systems, but also a better solution in terms of energy conversion eciency and greenhouse gases emissions reduction. Therefore, high temperature proton exchange membrane fuel cells are being installed around the world and policies encouraging its utilisation are being promoted.
2017-11-10T13:00:50ZSanz i López, VíctorCosta Castelló, RamonBatlle Arnau, CarlesGlobal concerns about nowadays’ energy shortage problems as well as climate change eects have encouraged alternatives to classical energy sources such as fossil fuels and nuclear power plants. In this context, combined heat and power is presented as a useful option due to its ability of generating both electrical and thermal energy more eciently than conventional methods. Regarding this, high temperature proton exchange membrane fuel cells are not only a reliable way of implementing combined heat and power systems, but also a better solution in terms of energy conversion eciency and greenhouse gases emissions reduction. Therefore, high temperature proton exchange membrane fuel cells are being installed around the world and policies encouraging its utilisation are being promoted.Linear hamiltonian control systems. An approach under linear algebra point of view
http://hdl.handle.net/2117/110146
Linear hamiltonian control systems. An approach under linear algebra point of view
García Planas, María Isabel; Chanes Espigares, Antonio
Hamiltonian systems model a number of important problems in theoretical physics, mechanics, fluid dynamics and others disciplines. Many important physical and engineering processes can be described by a suitable linear Hamiltonian formalism. The properties of Hamiltonian systems like conservation of energy or volume in the phase space leads specific dynamical features. This paper approaches the study, analysis and characterization of linear Hamiltonian systems through the linear algebra
2017-11-08T12:33:28ZGarcía Planas, María IsabelChanes Espigares, AntonioHamiltonian systems model a number of important problems in theoretical physics, mechanics, fluid dynamics and others disciplines. Many important physical and engineering processes can be described by a suitable linear Hamiltonian formalism. The properties of Hamiltonian systems like conservation of energy or volume in the phase space leads specific dynamical features. This paper approaches the study, analysis and characterization of linear Hamiltonian systems through the linear algebraTriangular matrices and combinatorial recurrences
http://hdl.handle.net/2117/109153
Triangular matrices and combinatorial recurrences
Encinas Bachiller, Andrés Marcos; Jiménez Jiménez, M. Jose
2017-10-25T12:18:33ZEncinas Bachiller, Andrés MarcosJiménez Jiménez, M. JoseAdvanced computational design of shared tuned mass-inerter dampers for vibration control of adjacent multi-story structures
http://hdl.handle.net/2117/108937
Advanced computational design of shared tuned mass-inerter dampers for vibration control of adjacent multi-story structures
Palacios Quiñonero, Francisco; Rubió Massegú, Josep; Rossell Garriga, Josep Maria; Karimi, Hamid Reza
Inerters are a novel type of mechanical actuation devices that are able to produce large inertial forces with a relatively small mass. Due to this property, inerters can provide an effective solution to the main drawbacks of tuned mass-dampers and, consequently, they are gaining an increasing relevance in the field of passive structural vibration control. In this paper, a computational design strategy for inerter-based vibration control schemes is presented. The proposed approach combines a computationally effective reduced-frequency H8 cost-function and a constrained global optimization solver to design different configurations of a shared tuned mass-inerter-damper system for the seismic protection of a multi-story two-building structure. To assess the effectiveness of the obtained configurations, the frequency characteristics and the seismic response of the interstory drifts and interbuilding approaches are investigated with positive results.
2017-10-20T15:20:42ZPalacios Quiñonero, FranciscoRubió Massegú, JosepRossell Garriga, Josep MariaKarimi, Hamid RezaInerters are a novel type of mechanical actuation devices that are able to produce large inertial forces with a relatively small mass. Due to this property, inerters can provide an effective solution to the main drawbacks of tuned mass-dampers and, consequently, they are gaining an increasing relevance in the field of passive structural vibration control. In this paper, a computational design strategy for inerter-based vibration control schemes is presented. The proposed approach combines a computationally effective reduced-frequency H8 cost-function and a constrained global optimization solver to design different configurations of a shared tuned mass-inerter-damper system for the seismic protection of a multi-story two-building structure. To assess the effectiveness of the obtained configurations, the frequency characteristics and the seismic response of the interstory drifts and interbuilding approaches are investigated with positive results.Characterizing identifying codes through the spectrum of a graph or digraph
http://hdl.handle.net/2117/108920
Characterizing identifying codes through the spectrum of a graph or digraph
Balbuena Martínez, Maria Camino Teófila; Dalfó Simó, Cristina; Martínez Barona, Berenice
2017-10-20T12:13:09ZBalbuena Martínez, Maria Camino TeófilaDalfó Simó, CristinaMartínez Barona, BereniceAn asymmetric-friction based model for magnetorheological dampers
http://hdl.handle.net/2117/108894
An asymmetric-friction based model for magnetorheological dampers
García Baños, Isabel; Ikhouane, Fayçal; Aguirre Carvajal, Naile
The modeling of magnetorheological dampers combines the use of the laws of physics along with
a phenomenological description. The phenomenological models that are used to describe these
devices present a symmetric hysteresis loop. However, the experimental hysteresis loops of MR
dampers are not symmetric. To take into account this asymmetry, we propose a modi cation of
the viscous + Dahl model, use the modi ed model to describe a large-scale magnetorheological
damper, and validate the modi ed model against experimental data.
2017-10-20T09:38:29ZGarcía Baños, IsabelIkhouane, FayçalAguirre Carvajal, NaileThe modeling of magnetorheological dampers combines the use of the laws of physics along with
a phenomenological description. The phenomenological models that are used to describe these
devices present a symmetric hysteresis loop. However, the experimental hysteresis loops of MR
dampers are not symmetric. To take into account this asymmetry, we propose a modi cation of
the viscous + Dahl model, use the modi ed model to describe a large-scale magnetorheological
damper, and validate the modi ed model against experimental data.Non-linear damage classification based on machine learning and damage indices
http://hdl.handle.net/2117/108422
Non-linear damage classification based on machine learning and damage indices
Tibaduiza Burgos, Diego Alexander; Torres-Arredondo, Miguel Ángel; Vitola Oyaga, Jaime; Anaya Vejar, Maribel; Pozo Montero, Francesc
The use of guided wave-based approaches presents some advantages in the structural inspection and damage identification processes. It is driven by the fact that these waves can propagate over relatively long distances and are able to interact sensitively with and uniquely with different types of defects, however, its use in Structural Health Monitoring requires the development of efficient SHM methodologies to analyse and provide confident results. To do that, signal processing techniques for the correct interpretation of the complex ultrasonic waves are a need. In this sense, it is necessary to still work on the
continuous search of methodologies for performing each one of the steps in the damage identification. As contribution, this paper presents a damage classification methodology which includes the use of data collected from a structure under different structural states by means of a piezoelectric sensor network. The document presents the description of the methodology including a description of the data reduction and the use of non-linear analysis of the information with hierarchical non-linear principal component analysis and some non-linear damage indices. The methodology is preliminary evaluated with a CFRP sandwich structure with some damages on the multi-layered composite sandwich structure which were intentionally produced to simulate different damage mechanisms, i.e. delamination and cracking of the skin. Finally, results are presented and discussed to remark the advantages and disadvantages of this methodology.
2017-10-06T06:51:09ZTibaduiza Burgos, Diego AlexanderTorres-Arredondo, Miguel ÁngelVitola Oyaga, JaimeAnaya Vejar, MaribelPozo Montero, FrancescThe use of guided wave-based approaches presents some advantages in the structural inspection and damage identification processes. It is driven by the fact that these waves can propagate over relatively long distances and are able to interact sensitively with and uniquely with different types of defects, however, its use in Structural Health Monitoring requires the development of efficient SHM methodologies to analyse and provide confident results. To do that, signal processing techniques for the correct interpretation of the complex ultrasonic waves are a need. In this sense, it is necessary to still work on the
continuous search of methodologies for performing each one of the steps in the damage identification. As contribution, this paper presents a damage classification methodology which includes the use of data collected from a structure under different structural states by means of a piezoelectric sensor network. The document presents the description of the methodology including a description of the data reduction and the use of non-linear analysis of the information with hierarchical non-linear principal component analysis and some non-linear damage indices. The methodology is preliminary evaluated with a CFRP sandwich structure with some damages on the multi-layered composite sandwich structure which were intentionally produced to simulate different damage mechanisms, i.e. delamination and cracking of the skin. Finally, results are presented and discussed to remark the advantages and disadvantages of this methodology.Damage classification based on machine learning applications for an unmanned aerial vehicle
http://hdl.handle.net/2117/107915
Damage classification based on machine learning applications for an unmanned aerial vehicle
Anaya Vejar, Maribel; Ceron, Hernan; Vitola Oyaga, Jaime; Tibaduiza Burgos, Diego Alexander; Pozo Montero, Francesc
Unmanned aerial vehicles (UAVs) are well-known by its advantages in several applications such as surveillance and monitoring for instance in agricultural applications or fire control among others. These missions can be associated to the robotics area due to the smart applications and tasks that can be performed by these systems autonomously.
Although its designs and developments are in most of the cases joined to the applications, currently it is possible to design or acquire a UAV for specific applications by defining features about the task to perform. One of the problems with the use of UAV is attached to the variations of the operational conditions which can produce some damages during
operation, landing and de-landing tasks. Since several damages can affect the structural state of these vehicles, the use of a Structural Health Monitoring system is a necessity to provide an automatic monitoring system. This work includes a description of a preliminary
damage detection and classification system for a UAV. The system includes the description of the data analysis from a piezoelectric sensor network with independent component analysis and machine learning approaches. Some tests are available to validate the system with data from a wing of the UAV called VANT Solvendus from the
Fundación Universitaria Los Libertadores. Tests and the application of the methodology for detecting and classifying damage are performed to a part of the UAV wing skin and results show the advantage of the methodology.
2017-09-22T12:23:05ZAnaya Vejar, MaribelCeron, HernanVitola Oyaga, JaimeTibaduiza Burgos, Diego AlexanderPozo Montero, FrancescUnmanned aerial vehicles (UAVs) are well-known by its advantages in several applications such as surveillance and monitoring for instance in agricultural applications or fire control among others. These missions can be associated to the robotics area due to the smart applications and tasks that can be performed by these systems autonomously.
Although its designs and developments are in most of the cases joined to the applications, currently it is possible to design or acquire a UAV for specific applications by defining features about the task to perform. One of the problems with the use of UAV is attached to the variations of the operational conditions which can produce some damages during
operation, landing and de-landing tasks. Since several damages can affect the structural state of these vehicles, the use of a Structural Health Monitoring system is a necessity to provide an automatic monitoring system. This work includes a description of a preliminary
damage detection and classification system for a UAV. The system includes the description of the data analysis from a piezoelectric sensor network with independent component analysis and machine learning approaches. Some tests are available to validate the system with data from a wing of the UAV called VANT Solvendus from the
Fundación Universitaria Los Libertadores. Tests and the application of the methodology for detecting and classifying damage are performed to a part of the UAV wing skin and results show the advantage of the methodology.Hysteretic delta modulator to prevent parameter drift in adaptive-based controllers
http://hdl.handle.net/2117/107914
Hysteretic delta modulator to prevent parameter drift in adaptive-based controllers
Ponce de León Puig, Nubia Ilia; Acho Zuppa, Leonardo; Rodellar Benedé, José; Vidal Seguí, Yolanda; Gutiérrez Arias, José Eligio Moisés
The realization of adaptive-based controllers in many industrial control applications may exhibit the parametric drift behavior acquiring the well known bursting phenomenon. In this work, an original and novel technique is proposed to eliminate this phenomenon. It is based on a modification of the discrete-time delta modulator into its continuous-time domain and then by adding hysteresis. To verify our proposed method, numerical simulations are conducted to the Van der Pol oscillator control regulation problem solved by using a predictive adaptive-based control technique, where a small output time-delay is added to evidence the bursting phenomenon. Moreover, the realization of our hysteric delta modulator does not alter the original adaptive parametric process, this is an important contribution with respect to the existent algorithms on this topic.
2017-09-22T12:09:33ZPonce de León Puig, Nubia IliaAcho Zuppa, LeonardoRodellar Benedé, JoséVidal Seguí, YolandaGutiérrez Arias, José Eligio MoisésThe realization of adaptive-based controllers in many industrial control applications may exhibit the parametric drift behavior acquiring the well known bursting phenomenon. In this work, an original and novel technique is proposed to eliminate this phenomenon. It is based on a modification of the discrete-time delta modulator into its continuous-time domain and then by adding hysteresis. To verify our proposed method, numerical simulations are conducted to the Van der Pol oscillator control regulation problem solved by using a predictive adaptive-based control technique, where a small output time-delay is added to evidence the bursting phenomenon. Moreover, the realization of our hysteric delta modulator does not alter the original adaptive parametric process, this is an important contribution with respect to the existent algorithms on this topic.