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148 results on '"Corral-Bobadilla, Marina"'

6. Semiautomatic Modeling of Bone Tissue from Medical Image for Finite Element Method Based Biomechanical Studies

Author

Pérez-Sala, Álvaro, Peláez, Rafael, Somovilla Gomez, Fátima, Martínez Calvo, María Ángeles, Corral Bobadilla, Marina, Íñiguez Macedo, Saul, Rodríguez San Miguel, Asier, Fernández Martínez, Enrique, Rubio Sampedro, Manuel, Lostado Lorza, Rubén, Larráyoz, Ignacio M., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Cavas Martínez, Francisco, editor, Peris-Fajarnes, Guillermo, editor, Morer Camo, Paz, editor, Lengua Lengua, Ismael, editor, and Defez García, Beatriz, editor

Published
2022
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7. Adjustment of Friction Models in Elastomers Using the Finite Element Method and Model Updating Techniques

Author

Íñiguez Macedo, Saúl, Rodríguez San Miguel, Asier, Fernández Martínez, Enrique, Rubio Sampedro, Manuel, Pérez-Sala, Álvaro, Larráyoz, Ignacio M., Peláez Cristóbal, Rafaél, Somovilla Gomez, Fátima, Martínez Calvo, María Ángeles, Corral Bobadilla, Marina, Lostado Lorza, Rubén, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Cavas Martínez, Francisco, editor, Peris-Fajarnes, Guillermo, editor, Morer Camo, Paz, editor, Lengua Lengua, Ismael, editor, and Defez García, Beatriz, editor

Published
2022
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8. Finite Element Model Proposed for Determine the Rotational Equilibrium Around of the Subtalar Joint Axis (SJA)

Author

Lostado Lorza, Rubén, Somovilla Gomez, Fátima, Íñiguez Macedo, Saúl, Corral Bobadilla, Marina, Martínez Calvo, María Ángeles, Pérez-Sala, Álvaro, Larráyoz, Ignacio M., Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Rizzi, Caterina, editor, Campana, Francesca, editor, Bici, Michele, editor, Ingrassia, Tommaso, editor, and Cicconi, Paolo, editor

Published
2022
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10. 3D-Printed Canine Tibia Model from Clinical Computed Tomography Data

Author

Somovilla-Gómez, Fátima, Iñiguez-Macedo, Saúl, Jiménez-Ruiz, Eduardo, Muro-Fraguas, Laura, Gañán-Catalina, Gonzalo, Leciñana-Soldevilla, Álvaro, Corral-Bobadilla, Marina, Díaz-Bertrana-Sánchez, Carmen, Lostado-Lorza, Rubén, Chaari, Fakher, Series Editor, Haddar, Mohamed, Series Editor, Kwon, Young W., Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, editor, Sanz-Adan, Félix, editor, Morer Camo, Paz, editor, Lostado Lorza, Ruben, editor, and Santamaría Peña, Jacinto, editor

Published
2020
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11. The Importance of 3D Scanned Mesh Processing in FEM Simulation Results

Author

Iñiguez-Macedo, Saúl, Jiménez-Ruiz, Eduardo, Somovilla-Gómez, Fátima, Valle-Melón, José Manuel, Corral-Bobadilla, Marina, Martínez-Calvo, María Ángeles, Lostado-Lorza, Rubén, Chaari, Fakher, Series Editor, Haddar, Mohamed, Series Editor, Kwon, Young W., Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, editor, Sanz-Adan, Félix, editor, Morer Camo, Paz, editor, Lostado Lorza, Ruben, editor, and Santamaría Peña, Jacinto, editor

Published
2020
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12. A Proposed Methodology for Calculating the Rigid Body Natural Frequencies of EPDM Rubber Fixed Supports with the Finite Element Method (FEM)

Author

Jiménez-Ruiz, Eduardo, Somovilla-Gómez, Fátima, Iñiguez-Macedo, Saúl, Berlanga-Labari, Carlos, Corral-Bobadilla, Marina, Lostado-Lorza, Rubén, Chaari, Fakher, Series Editor, Haddar, Mohamed, Series Editor, Kwon, Young W., Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Cavas-Martínez, Francisco, editor, Sanz-Adan, Félix, editor, Morer Camo, Paz, editor, Lostado Lorza, Ruben, editor, and Santamaría Peña, Jacinto, editor

Published
2020
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13. Adjustment of Friction Models in Elastomers Using the Finite Element Method and Model Updating Techniques

Author

Íñiguez Macedo, Saúl, primary, Rodríguez San Miguel, Asier, additional, Fernández Martínez, Enrique, additional, Rubio Sampedro, Manuel, additional, Pérez-Sala, Álvaro, additional, Larráyoz, Ignacio M., additional, Peláez Cristóbal, Rafaél, additional, Somovilla Gomez, Fátima, additional, Martínez Calvo, María Ángeles, additional, Corral Bobadilla, Marina, additional, and Lostado Lorza, Rubén, additional

Published
2021
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14. Semiautomatic Modeling of Bone Tissue from Medical Image for Finite Element Method Based Biomechanical Studies

Author

Pérez-Sala, Álvaro, primary, Peláez, Rafael, additional, Somovilla Gomez, Fátima, additional, Martínez Calvo, María Ángeles, additional, Corral Bobadilla, Marina, additional, Íñiguez Macedo, Saul, additional, Rodríguez San Miguel, Asier, additional, Fernández Martínez, Enrique, additional, Rubio Sampedro, Manuel, additional, Lostado Lorza, Rubén, additional, and Larráyoz, Ignacio M., additional

Published
2021
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19. Using the Finite Element Method to Determine the Influence of Age, Height and Weight on the Vertebrae and Ligaments of the Human Spine

Author

Somovilla-Gómez, Fátima, Lostado-Lorza, Rubén, Íñiguez-Macedo, Saúl, Corral-Bobadilla, Marina, Martínez-Calvo, María Ángeles, Tobalina-Baldeon, Daniel, Eynard, Benoit, editor, Nigrelli, Vincenzo, editor, Oliveri, Salvatore Massimo, editor, Peris-Fajarnes, Guillermo, editor, and Rizzuti, Sergio, editor

Published
2017
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20. The design of a knee prosthesis by Finite Element Analysis

Author

Íñiguez-Macedo, Saúl, Somovilla-Gómez, Fátima, Lostado-Lorza, Rubén, Corral-Bobadilla, Marina, Martínez-Calvo, María Ángeles, Sanz-Adán, Félix, Eynard, Benoit, editor, Nigrelli, Vincenzo, editor, Oliveri, Salvatore Massimo, editor, Peris-Fajarnes, Guillermo, editor, and Rizzuti, Sergio, editor

Published
2017
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21. Improvement in the Process of Designing a New Artificial Human Intervertebral Lumbar Disc Combining Soft Computing Techniques and the Finite Element Method

Author

Lostado Lorza, Rubén, Somovilla Gomez, Fátima, Fernandez Martinez, Roberto, Escribano Garcia, Ruben, Corral Bobadilla, Marina, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Graña, Manuel, editor, López-Guede, José Manuel, editor, Etxaniz, Oier, editor, Herrero, Álvaro, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2017
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22. Cyclone Performance Prediction Using Linear Regression Techniques

Author

Corral Bobadilla, Marina, Fernandez Martinez, Roberto, Lostado Lorza, Rubén, Somovilla Gomez, Fátima, Vergara Gonzalez, Eliseo P., Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Graña, Manuel, editor, López-Guede, José Manuel, editor, Etxaniz, Oier, editor, Herrero, Álvaro, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2017
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23. Adjust the Thermo-Mechanical Properties of Finite Element Models Welded Joints Based on Soft Computing Techniques

Author

Fernández Martinez, Roberto, Lostado Lorza, Rubén, Corral Bobadilla, Marina, Escribano Garcia, Rubén, Somovilla Gomez, Fátima, Vergara González, Eliseo P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez de Pisón, Francisco Javier, editor, Urraca, Rubén, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2017
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24. A Soft Computing Approach to Optimize the Production of Biodiesel

Author

Corral Bobadilla, Marina, Fernandez Martinez, Roberto, Lostado Lorza, Ruben, Somovilla Gomez, Fatima, Vergara Gonzalez, Eliseo P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez de Pisón, Francisco Javier, editor, Urraca, Rubén, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2017
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28. A Proposed Methodology for Setting the Finite Element Models Based on Healthy Human Intervertebral Lumbar Discs

Author

Somovilla Gomez, Fatima, Lostado Lorza, Ruben, Fernandez Martinez, Roberto, Corral Bobadilla, Marina, Escribano Garcia, Ruben, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez-Álvarez, Francisco, editor, Troncoso, Alicia, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2016
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29. A Soft Computing Approach to Optimize the Clarification Process in Wastewater Treatment

Author

Corral Bobadilla, Marina, Fernandez Martinez, Roberto, Lostado Lorza, Ruben, Somovilla Gomez, Fatima, Vergara Gonzalez, Eliseo P., Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Martínez-Álvarez, Francisco, editor, Troncoso, Alicia, editor, Quintián, Héctor, editor, and Corchado, Emilio, editor

Published
2016
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32. Aplicación del ensayo de abombamiento en el proceso de caracterización de membranas de materiales elastómeros

Author

Íñiguez Macedo, Saúl, Pascual Martínez, Alfonso, Laliena Martínez, Jesús Miguel, Lostado Lorza, Rubén, Somovilla Gómez, Fátima, and Corral Bobadilla, Marina

Abstract

La caracterización mecánica de los elastómeros es una tarea compleja que requiere varias pruebas normalizadas para determinar su comportamiento. Cuando se trata de caracterizar membranas, el proceso requiere la presencia de material suficiente. Para garantizar que los datos obtenidos son fiables, es esencial validar el elastómero antes de utilizar esta información en un modelo complejo de simulación. En este artículo se describe el proceso de caracterización mediante técnicas de inteligencia artificial y el ensayo de abombamiento para determinar los parámetros constitutivos del material de los elastómeros. Para lograr este objetivo, se diseñó un banco de pruebas. Este incluye un sistema de control electrónico para medir la deformación del bulge a través de un sensor láser. Fi-nalmente, se propusieron modelos por el método de los elementos finitos (MEF). Éstos reproducen en la medida de lo posible el diseño real de la prueba. Se han utilizado los elementos Shell y Brick para mallar la membrana de los modelos. La fiabilidad del método de caracterización ha quedado demostrada por los resultados obtenidos. Los valores de deformación y tensión tuvieron un error inferior al 15% cuando se utilizaron elementos Shell. Este tipo de elementos debería ser seleccionado cuando se desarrollen futuros modelos de membrana, asegurando así un ajuste entre el MEF y el problema bajo estudio. El pequeño error obtenido así como el coste computacional utilizado sugieren que la metodología propuesta en este trabajo podría ser una alternativa más sencilla y económica para ser utilizada en la caracterización de elastómeros que otros métodos más sofisticados requieren.

Published
2023

40. Comparative Analysis of Healthy and Cam-Type Femoroacetabular Impingement (FAI) Human Hip Joints Using the Finite Element Method

Author

Lostado Lorza, Rubén, primary, Somovilla Gomez, Fátima, additional, Corral Bobadilla, Marina, additional, Íñiguez Macedo, Saúl, additional, Rodríguez San Miguel, Asier, additional, Fernández Martínez, Enrique, additional, Rubio Sampedro, Manuel, additional, Pérez Sala, Álvaro, additional, Cristóbal, Rafael Peláez, additional, and Larráyoz, Ignacio M., additional

Published
2021
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46. Modelizado y optimización de problemas biomecánicos mediante la combinación del método de los elementos finitos (mef) y técnicas avanzadas de optimización

Author

González Marcos, Ana (null), Corral Bobadilla, Marina (null), Lostado Lorza, Ruben (null), Somovilla Gómez, Fátima, González Marcos, Ana (null), Corral Bobadilla, Marina (null), Lostado Lorza, Ruben (null), and Somovilla Gómez, Fátima

Abstract

Usually, biomechanical problems present non-linear behaviours produced by mechanical contacts, large deformations, large displacements, hyperelasticity, etc. This type of nonlinear behaviour is difficult to model and optimise by widely used methods such as the Finite Element Method (FEM). First, there is a very high computational cost when only FEM is applied to model and optimise biomechanical problems. In addition, solving this type of biomechanical problems experimentally (through trial-error tests) is nowadays unfeasible for ethical reasons. This thesis presents a methodology that combines FEM with advanced data analysis techniques, such as the Multiple Response Surface Method (MRS) or Machine Learning (ML) algorithms, to model and optimise the biomechanical problems that are present in humans and animals. The application of the proposed methodology in this thesis is carried out in three main phases. The first phase focuses on the creation of FE models, while the second phase is devoted to the generation of prediction models by means of regression techniques, decision trees, neural networks, etc. Finally, in the third phase, an optimisation is performed using either the MRS or genetic algorithms. The proposed methodology can be applied to any biomechanical problem. In this thesis, it has been validated through its implementation in four actual problems that are found in humans and animals. In animals, it is applied to model the biomechanical behaviour of a canine pelvis with two different types of fixation plates (ventral and DPO), used for the treatment of canine pelvic osteotomy. In this case, the FEM is solely applied to analyse and compare the stiffness difference between ventral and DPO fixation plates. In this manner, the experimental cost is reduced and the ethical problem is avoided. In the case of human problems, the methodology that combines the FEM and the MRS with desirability functions is applied for the modelling and optimisation of the biomechanic, Los problemas biomecánicos generalmente presentan comportamientos no lineales producidos por contactos mecánicos, grandes deformaciones, grandes desplazamientos, hiperelasticidad, etc. Este tipo de comportamiento no lineal es muy difícil de modelizar y optimizar mediante métodos ampliamente utilizados como es el Método de los Elementos Finitos (MEF). En primer lugar, el coste computacional que requiere el MEF cuando es aplicado de manera individual para modelizar y optimizar problemas biomecánicos es muy elevado. Además, por motivos éticos, resolver este tipo de problemas biomecánicos de modo experimental (mediante prueba-error) resulta hoy en día inviable. Esta tesis presenta una metodología que combina el MEF con técnicas avanzadas de análisis de datos como es el Método de Superficie de Respuesta Múltiple (MSR) y el Machine Learning (ML) para modelizar y optimizar problemas biomecánicos presentes en humanos y en animales. La aplicación de la metodología que se presenta en esta tesis se desarrolla en tres fases principales. La primera fase se centra en la creación de modelos de EF, en la segunda fase se obtienen los modelos de predicción mediante técnicas de regresión, árboles de decisión, redes neuronales, etc. y finalmente, en una tercera fase, se realiza la optimización utilizando la metodología de superficie de respuesta múltiple o algoritmos genéticos. La metodología propuesta puede ser aplicada a cualquier problema biomecánico, si bien en esta tesis se ha validado mediante su implementación en cuatro casos reales encontrados en seres humanos y en animales. En animales, se aplica al modelizado del comportamiento biomecánico de una pelvis canina con dos tipos diferentes de placas de fijación (ventral y DPO), utilizadas para el tratamiento de la osteotomía pélvica canina. En este caso, se aplica de manera individual el MEF con el fin de estudiar y comparar la rigidez entre las placas de fijación. De esta manera, se reduce el coste experimental y se evita el prob

Published
2020

50. Bioremediation of waste water to remove heavy metals using the spent mushroom substrate of Agaricus bisporus

Author

Corral-Bobadilla, Marina, González-Marcos, Ana, Vergara-González, Eliseo P., Alba-Elías, Fernando, 0000-0002-6057-7077, and 0000-0003-4684-659X

Subjects
lcsh:Hydraulic engineering, 010504 meteorology & atmospheric sciences, Geography, Planning and Development, sulphate reduction, chemistry.chemical_element, Environmental pollution, Zinc, 010501 environmental sciences, Aquatic Science, 01 natural sciences, Biochemistry, lcsh:Water supply for domestic and industrial purposes, Bioremediation, lcsh:TC1-978, bioremediation, heavy metals, 0105 earth and related environmental sciences, Water Science and Technology, lcsh:TD201-500, Mushroom, Spent Mushroom Substrate, Contamination, chemistry, Wastewater, Environmental chemistry, Environmental science, Cobalt, Agaricus bisporus
Abstract

The presence of heavy metals in waste water brings serious environmental pollution that threatens human health and the ecosystem. Bioremediation of heavy metals has received considerable and growing interest over the years. Thus, this paper presents the use of the Spent Mushroom Substrate (SMS) of Agaricus bisporus cultivation as a bioremediating agent to remove heavy metals that are present in industrial waters. These metals include chromium, lead, iron, cobalt, nickel, manganese, zinc, copper and aluminium. In particular, this study analyses the performance of SMS bioreactors with different groups of heavy metals at various concentrations. Between 80% and 98% of all contaminants that were analysed can be removed with 5 kg of SMS at hydraulic retention times of 10 and 100 days. The best removal efficiencies and longevities were achieved when removing iron (III), nickel and cobalt from contaminated water at a pH of 2.5. These results suggest that SMS can successfully treat waste water that has been contaminated with heavy metals.

Published
2019

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