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Dr. Elisabete Alberdi
University of the Basque Country UPV/EHU (Spain)

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0 Differential Equations
0 heuristic
0 Numeric Simulation
0 Heuristic Algorithms
0 Numerical methods for partial differential equations

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Journal article
Published: 11 August 2021 in Sustainability
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In the current climate emergency context, many national and international organizations have adopted measures to integrate sustainability and Sustainable Development Goals (SDGs) in all their fields of action. Within education, steps have been taken to incorporate the perspective of sustainability at all levels. This process has also started at the university since it plays a fundamental role in the strategy for the implementation of specific policies to promote sustainability. However, sometimes it is difficult to include this type of knowledge in the curriculum, due to the lack of flexibility of the university structure or the lack of time to cover the syllabus. In this scenario, civil engineering plays a main role as a fundamental activity in the creation of services and infrastructures with a high environmental impact. The objective of this study is to show a multidisciplinary approach to working on sustainability in a transversal way in the civil engineering degree and to analyze the impact that this type of initiative can have from the learning point of view. The study shows a curricular trajectory supported by problem-based learning and project-based learning designed to promote sustainability in the practice of civil engineering. The good results obtained in the evaluation of the project and the growing incorporation of the SDGs in the final degree projects suggest that this methodology can be implemented by other university degrees.

ACS Style

Irantzu Álvarez; Paulo Etxeberria; Elisabete Alberdi; Heriberto Pérez-Acebo; Isabel Eguia; María José García. Sustainable Civil Engineering: Incorporating Sustainable Development Goals in Higher Education Curricula. Sustainability 2021, 13, 8967 .

AMA Style

Irantzu Álvarez, Paulo Etxeberria, Elisabete Alberdi, Heriberto Pérez-Acebo, Isabel Eguia, María José García. Sustainable Civil Engineering: Incorporating Sustainable Development Goals in Higher Education Curricula. Sustainability. 2021; 13 (16):8967.

Chicago/Turabian Style

Irantzu Álvarez; Paulo Etxeberria; Elisabete Alberdi; Heriberto Pérez-Acebo; Isabel Eguia; María José García. 2021. "Sustainable Civil Engineering: Incorporating Sustainable Development Goals in Higher Education Curricula." Sustainability 13, no. 16: 8967.

Journal article
Published: 04 May 2021 in Materials
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The aim of this paper is to characterize the mechanical behavior of corrugated cardboard boxes using simple models that allow an approach to the load capacity and the deformation of the boxes. This is very interesting during a box design stage, in which the box does not exist yet. On the one hand, a mathematical model of strength and deformation of boxes with different geometry is obtained from experiments according to the Box Compression Test and Edge Crush Test standards. On the second hand, a finite element simulation is proposed in which only the material elastic modulus in the compression direction is needed. For that, corrugated cardboard sheets are glued to build billets for testing, and an equivalent elastic modulus is obtained. This idea arises from the fact that the collapse of the box is given by the local bucking of the corrugated cardboard panels, due to the slenderness itself, and the properties in the compression direction are predominant. As a result, the numerical models show satisfactory agreement with experiments, concluding that it is an adequate methodology to simulate in a simple and efficient way this type of boxes built with corrugated cardboard.

ACS Style

Javier Gallo; Fernando Cortés; Elisabete Alberdi; Aitor Goti. Mechanical Behavior Modeling of Containers and Octabins Made of Corrugated Cardboard Subjected to Vertical Stacking Loads. Materials 2021, 14, 2392 .

AMA Style

Javier Gallo, Fernando Cortés, Elisabete Alberdi, Aitor Goti. Mechanical Behavior Modeling of Containers and Octabins Made of Corrugated Cardboard Subjected to Vertical Stacking Loads. Materials. 2021; 14 (9):2392.

Chicago/Turabian Style

Javier Gallo; Fernando Cortés; Elisabete Alberdi; Aitor Goti. 2021. "Mechanical Behavior Modeling of Containers and Octabins Made of Corrugated Cardboard Subjected to Vertical Stacking Loads." Materials 14, no. 9: 2392.

Journal article
Published: 02 May 2021 in Energies
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The growth of the renewable energy industry is happening at a swift pace pushed, by the emergence of Industry 4.0. Smart technologies like artificial intelligence (AI), Big Data, the Internet of Things (IoT), Digital Twin (DT), etc. enable companies within the sector of renewable energies to drastically improve their operations. In this sectoral context, where upgraded sustainability standards also play a vital role, it is necessary to fulfil the human capital requirements of the imminent technological advances. This article aims to determine the current skills of the renewable energy industry workforce and to predict the upcoming skill requirements linked to a digital transition by creating a unified database that contains both types of skills. This will serve as a tool for renewable energy businesses, education centers, and policymakers to plan the training itinerary necessary to close the skills gap, as part of the sectoral strategy to achieve a competent future workforce.

ACS Style

Irene Arcelay; Aitor Goti; Aitor Oyarbide-Zubillaga; Tugce Akyazi; Elisabete Alberdi; Pablo Garcia-Bringas. Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector. Energies 2021, 14, 2609 .

AMA Style

Irene Arcelay, Aitor Goti, Aitor Oyarbide-Zubillaga, Tugce Akyazi, Elisabete Alberdi, Pablo Garcia-Bringas. Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector. Energies. 2021; 14 (9):2609.

Chicago/Turabian Style

Irene Arcelay; Aitor Goti; Aitor Oyarbide-Zubillaga; Tugce Akyazi; Elisabete Alberdi; Pablo Garcia-Bringas. 2021. "Definition of the Future Skills Needs of Job Profiles in the Renewable Energy Sector." Energies 14, no. 9: 2609.

Journal article
Published: 05 March 2021 in Sustainability
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Due to the importance of road transport an adequate identification of the various road network levels is necessary for an efficient and sustainable management of the road infrastructure. Additionally, traffic values are key data for any pavement management system. In this work traffic volume data of 2019 in the Basque Autonomous Community (Spain) were analyzed and modeled. Having a multidimensional sample, the average annual daily traffic (AADT) was considered as the main variable of interest, which is used in many areas of the road network management. First, an exploratory analysis was performed, from which descriptive statistical information was obtained continuing with the clustering by various variables in order to standardize its behavior by translation. In a second stage, the variable of interest was estimated in the entire road network of the studied country using linear-based radial basis functions (RBFs). The estimated model was compared with the sample statistically, evaluating the estimation using cross-validation and highest-traffic sectors are defined. From the analysis, it was observed that the clustering analysis is useful for identifying the real importance of each road segment, as a function of the real traffic volume and not based on other criteria. It was also observed that interpolation methods based on linear-type radial basis functions (RBF) can be used as a preliminary method to estimate the AADT.

ACS Style

Heber Hernández; Elisabete Alberdi; Heriberto Pérez-Acebo; Irantzu Álvarez; María García; Isabel Eguia; Kevin Fernández. Managing Traffic Data through Clustering and Radial Basis Functions. Sustainability 2021, 13, 2846 .

AMA Style

Heber Hernández, Elisabete Alberdi, Heriberto Pérez-Acebo, Irantzu Álvarez, María García, Isabel Eguia, Kevin Fernández. Managing Traffic Data through Clustering and Radial Basis Functions. Sustainability. 2021; 13 (5):2846.

Chicago/Turabian Style

Heber Hernández; Elisabete Alberdi; Heriberto Pérez-Acebo; Irantzu Álvarez; María García; Isabel Eguia; Kevin Fernández. 2021. "Managing Traffic Data through Clustering and Radial Basis Functions." Sustainability 13, no. 5: 2846.

Journal article
Published: 19 December 2020 in Journal of Open Innovation: Technology, Market, and Complexity
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In recent times, new learning methodologies known as student-based methodologies have been introduced to simplify the learning process for the students and facilitate the acquisition of skills for them. Among them, problem based learning (PBL) and project-based learning (PjBL) are widely used methods in the world of education. Real case solving (RCS) is a variant of the PBL where students solve real cases through the application of the PBL methodology. RCS seems to be a relevant approach for educators, but it has an apparently limited implementation degree at the academic level. This article presents the successful implementation of four different RCS approaches in the lecturing process in five different classes in the engineering degree of University of Deusto. The initiative has been analyzed both quantitative and qualitatively; the overall performance and success rate of the students were compared with the ones acquired from conventional teaching methods. The results were found to be promising, demonstrating a significantly better performance than the traditional teaching methodologies. The successful results encouraged the university to continue working further in this direction.

ACS Style

Aitor Goti; Tugce Akyazi; Alberto De La Calle; Aitor Oyarbide-Zubillaga; Elisabete Alberdi. Validation of Real Case Solving (RCS) Methodology as an Efficient Engineering Learning Tool. Journal of Open Innovation: Technology, Market, and Complexity 2020, 6, 198 .

AMA Style

Aitor Goti, Tugce Akyazi, Alberto De La Calle, Aitor Oyarbide-Zubillaga, Elisabete Alberdi. Validation of Real Case Solving (RCS) Methodology as an Efficient Engineering Learning Tool. Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6 (4):198.

Chicago/Turabian Style

Aitor Goti; Tugce Akyazi; Alberto De La Calle; Aitor Oyarbide-Zubillaga; Elisabete Alberdi. 2020. "Validation of Real Case Solving (RCS) Methodology as an Efficient Engineering Learning Tool." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4: 198.

Journal article
Published: 13 December 2020 in Metals
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The machine tool industry, which is the starting point of all the metal producing activities, is presently undergoing rapid and continuous changes as a result of the fourth industrial revolution Industry 4.0. Manufacturing models are profoundly transforming with emerging digitalization. Smart technologies like artificial intelligence (AI), big data, the Internet of Things (IoT), digital twin, allow the machine tool companies to optimize processes, increase efficiency and reduce waste through a new phase of automation. These technologies, as well, enable the machine tool producers to reach the aim of creating products with improved performance, extended life, high reliability that are eco-efficient. Therefore, Industry 4.0 could be perceived as an invaluable opportunity for the machine tool sector, only if the sector has a competent workforce capable of handling the implementation of new business models and technological developments. The main condition to create this highly qualified workforce is reskilling and upskilling of the current workforce. Once we define the expected evolution of skills requirements, we can clarify the skills mismatch between the workers and job profiles. Only then, we can reduce them by delivering well-developed trainings. For this purpose, this article identifies the current and foreseen skills requirements demanded by the machine tool industry workforce. To this end, we generated an integrated database for the sector with the present and prospective skills needs of the metal processing sector professionals. The presented sectoral database is a fundamental structure that will make the sector acquire targeted industrial reforms. It can also be an essential instrument for machine tool companies, policymakers, academics and education or training centers to build well-designed and effective training programs to enhance the skills of the labor force.

ACS Style

Tugce Akyazi; Aitor Goti; Aitor Oyarbide-Zubillaga; Elisabete Alberdi; Roberto Carballedo; Rafael Ibeas; Pablo Garcia-Bringas. Skills Requirements for the European Machine Tool Sector Emerging from Its Digitalization. Metals 2020, 10, 1665 .

AMA Style

Tugce Akyazi, Aitor Goti, Aitor Oyarbide-Zubillaga, Elisabete Alberdi, Roberto Carballedo, Rafael Ibeas, Pablo Garcia-Bringas. Skills Requirements for the European Machine Tool Sector Emerging from Its Digitalization. Metals. 2020; 10 (12):1665.

Chicago/Turabian Style

Tugce Akyazi; Aitor Goti; Aitor Oyarbide-Zubillaga; Elisabete Alberdi; Roberto Carballedo; Rafael Ibeas; Pablo Garcia-Bringas. 2020. "Skills Requirements for the European Machine Tool Sector Emerging from Its Digitalization." Metals 10, no. 12: 1665.

Journal article
Published: 16 October 2020 in Applied Sciences
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The construction sector has always occupied a strategic place in the European economy. The European construction industry suffered during the 2007–2008 global financial crisis, and today the sector is undergoing a recovery process. Among all the construction subsectors, civil engineering has the highest growth rate. Currently, the sector has to face profound industrial changes emerging with digital transformations (Industry 4.0), sustainability, climate change and energy efficiency. To promote the growth of the civil engineering sector and accelerate the recovery, we need to create a highly qualified and competent workforce that can handle the challenges coming up with the technological progress and global competitiveness. The main condition to achieve this capable workforce is to define the expected evolution of skills requirements. For that purpose, our work focuses on identifying current and near-future key skills required by the civil engineering occupations. To achieve this, we developed an automated sectoral database for the current and near-future skills requirements of the selected professional profiles. It is our belief that this sectoral database is a fundamental framework that will guide the sector through the future changes. We also believe that our research can be used as a key tool for construction companies, policy-makers, academics and training centers to develop well-designed and efficient training programs for upskilling and reskilling the workforce.

ACS Style

Tugce Akyazi; Irantzu Alvarez; Elisabete Alberdi; Aitor Oyarbide-Zubillaga; Aitor Goti; Felix Bayon. Skills Needs of the Civil Engineering Sector in the European Union Countries: Current Situation and Future Trends. Applied Sciences 2020, 10, 7226 .

AMA Style

Tugce Akyazi, Irantzu Alvarez, Elisabete Alberdi, Aitor Oyarbide-Zubillaga, Aitor Goti, Felix Bayon. Skills Needs of the Civil Engineering Sector in the European Union Countries: Current Situation and Future Trends. Applied Sciences. 2020; 10 (20):7226.

Chicago/Turabian Style

Tugce Akyazi; Irantzu Alvarez; Elisabete Alberdi; Aitor Oyarbide-Zubillaga; Aitor Goti; Felix Bayon. 2020. "Skills Needs of the Civil Engineering Sector in the European Union Countries: Current Situation and Future Trends." Applied Sciences 10, no. 20: 7226.

Journal article
Published: 20 May 2020 in Sustainability
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This work presents the results obtained from a spatial modeling and analysis process on pollutants measured in the air through forty-three monitoring stations located in the three provinces of the Basque Autonomous Community (Spain). The pollutants measured correspond to the set of nitrogen oxides (nitric oxide, NO; nitrogen dioxide, NO 2 ; and nitrogen oxides, NO x ) and atmospheric particulate matter with a diameter less than or equal to 10 micrometers (PM 10 ). The objective of this work was to generate a map of the pollutants that exhaustively covers the entire area of the Basque Autonomous Community using geostatistical techniques, in such a way that it serves as a basis for short and midterm environmental studies.

ACS Style

Elisabete Alberdi; Irantzu Alvarez; Heber Hernández; Aitor Oyarbide-Zubillaga; Aitor Goti. Analysis of the Air Quality of the Basque Autonomous Community Using Spatial Interpolation. Sustainability 2020, 12, 4164 .

AMA Style

Elisabete Alberdi, Irantzu Alvarez, Heber Hernández, Aitor Oyarbide-Zubillaga, Aitor Goti. Analysis of the Air Quality of the Basque Autonomous Community Using Spatial Interpolation. Sustainability. 2020; 12 (10):4164.

Chicago/Turabian Style

Elisabete Alberdi; Irantzu Alvarez; Heber Hernández; Aitor Oyarbide-Zubillaga; Aitor Goti. 2020. "Analysis of the Air Quality of the Basque Autonomous Community Using Spatial Interpolation." Sustainability 12, no. 10: 4164.

Journal article
Published: 27 April 2020 in Processes
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Calculating adequate vehicle routes for collecting municipal waste is still an unsolved issue, even though many solutions for this process can be found in the literature. A gap still exists between academics and practitioners in the field. One of the apparent reasons why this rift exists is that academic tools often are not easy to handle and maintain by actual users. In this work, the problem of municipal waste collection is modeled using a simple but efficient and especially easy to maintain solution. Real data have been used, and it has been solved using a Genetic Algorithm (GA). Computations have been done in two different ways: using a complete random initial population, and including a seed in this initial population. In order to guarantee that the solution is efficient, the performance of the genetic algorithm has been compared with another well-performing algorithm, the Variable Neighborhood Search (VNS). Three problems of different sizes have been solved and, in all cases, a significant improvement has been obtained. A total reduction of 40% of itineraries is attained with the subsequent reduction of emissions and costs.

ACS Style

Elisabete Alberdi; Leire Urrutia; Aitor Goti; Aitor Oyarbide-Zubillaga. Modeling the Municipal Waste Collection Using Genetic Algorithms. Processes 2020, 8, 513 .

AMA Style

Elisabete Alberdi, Leire Urrutia, Aitor Goti, Aitor Oyarbide-Zubillaga. Modeling the Municipal Waste Collection Using Genetic Algorithms. Processes. 2020; 8 (5):513.

Chicago/Turabian Style

Elisabete Alberdi; Leire Urrutia; Aitor Goti; Aitor Oyarbide-Zubillaga. 2020. "Modeling the Municipal Waste Collection Using Genetic Algorithms." Processes 8, no. 5: 513.

Journal article
Published: 14 April 2020 in Foods
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The food industry has recently faced rapid and constant changes due to the current industrial revolution, Industry 4.0, which has also profoundly altered the dynamics of the industry overall. Due to the emerging digitalisation, manufacturing models are changing through the use of smart technologies, such as robotics, Artificial Intelligence (AI), Internet of Things (IoT), machine learning, etc. They are experiencing a new phase of automation that enables innovative and more efficient processes, products and services. The introduction of these novel business models demands new professional skills requirements in the workforce of the food industry. In this work, we introduce an industry-driven proactive strategy to achieve a successful digital transformation in the food sector. For that purpose, we focus on defining the current and near-future key skills and competencies demanded by each of the professional profiles related to the food industry. To achieve this, we generated an automated database of current and future professions and competencies and skills. This database can be used as a fundamental roadmap guiding the sector through future changes caused by Industry 4.0. The interest shown by the local sectorial cluster and related entities reinforce the idea. This research will be a key tool for both academics and policy-makers to provide well-developed and better-oriented continuous training programs in order to reduce the skill mismatch between the workforce and the jobs.

ACS Style

Tugce Akyazi; Aitor Goti; Aitor Oyarbide; Elisabete Alberdi; Felix Bayon. A Guide for the Food Industry to Meet the Future Skills Requirements Emerging with Industry 4.0. Foods 2020, 9, 492 .

AMA Style

Tugce Akyazi, Aitor Goti, Aitor Oyarbide, Elisabete Alberdi, Felix Bayon. A Guide for the Food Industry to Meet the Future Skills Requirements Emerging with Industry 4.0. Foods. 2020; 9 (4):492.

Chicago/Turabian Style

Tugce Akyazi; Aitor Goti; Aitor Oyarbide; Elisabete Alberdi; Felix Bayon. 2020. "A Guide for the Food Industry to Meet the Future Skills Requirements Emerging with Industry 4.0." Foods 9, no. 4: 492.

Journal article
Published: 01 February 2020 in Formación universitaria
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En este trabajo se presenta la implementación de actividades interdisciplinares para el aprendizaje de la geometría, utilizando applets dinámicas programadas en GeoGebra. Estas actividades se desarrollan en dos asignaturas básicas de ingeniería: Álgebra y Geometría y Expresión Gráfica. Las actividades se han propuesto tanto en sesiones presenciales como en no presenciales fomentando la interactividad y el aprendizaje autónomo. Se ha evaluado la actividad interdisciplinar, el uso del software y la adquisición de conocimientos por parte del alumnado. La evaluación ha mostrado que los estudiantes valoran positivamente las tareas propuestas y la utilización del programa informático elegido para desarrollarlas. Además, les ha facilitado la comprensión y profundización de conceptos geométricos. Por ello, la integración de GeoGebra en el proceso enseñanza-aprendizaje de la geometría ha sido satisfactorio, aunque el profesorado piensa que el alumnado debe ser más consciente de la relación existente entre las dos materias.

ACS Style

María José García; Isabel Eguia; Paulo Etxeberria; Elisabete Alberdi. Implementación y evaluación de actividades interdisciplinares mediante applets dinámicas para el estudio de la geometría. Formación universitaria 2020, 13, 63 -70.

AMA Style

María José García, Isabel Eguia, Paulo Etxeberria, Elisabete Alberdi. Implementación y evaluación de actividades interdisciplinares mediante applets dinámicas para el estudio de la geometría. Formación universitaria. 2020; 13 (1):63-70.

Chicago/Turabian Style

María José García; Isabel Eguia; Paulo Etxeberria; Elisabete Alberdi. 2020. "Implementación y evaluación de actividades interdisciplinares mediante applets dinámicas para el estudio de la geometría." Formación universitaria 13, no. 1: 63-70.

Journal article
Published: 21 January 2020 in Minerals
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In the present study, the influence of the sampling density on the coestimation error of a regionalized, locally stationary and geo-mining nature variable is analyzed. The case study is two-dimensional (2D) and synthetic-type, and it has been generated using a non-conditional Sequential Gaussian Simulation (SGS), with subsequent transformation to Gaussian distribution, seeking to emulate the structural behavior of the aforementioned variable. A primary and an auxiliary variable with different spatial and statistical properties are constructed using the same methodology. The collocated ordinary cokriging method has been applied, in which the auxiliary variable is spatially correlated with the primary one and it is known exhaustively. Fifteen sampling densities are extracted from the target population of the primary variable, which are compared with the simulated values after performing coestimation. The obtained results follow a potential function that indicates the mean global error (MGE) based on the sampling density percentage (SDP) ( M G E = 1.2366 · S D P − 0.224 ).

ACS Style

Heber Hernandez Guerra; Elisabete Alberdi; Aitor Goti. Influence of the Sampling Density in the Coestimation Error of a Regionalized Locally Stationary Variable. Minerals 2020, 10, 90 .

AMA Style

Heber Hernandez Guerra, Elisabete Alberdi, Aitor Goti. Influence of the Sampling Density in the Coestimation Error of a Regionalized Locally Stationary Variable. Minerals. 2020; 10 (2):90.

Chicago/Turabian Style

Heber Hernandez Guerra; Elisabete Alberdi; Aitor Goti. 2020. "Influence of the Sampling Density in the Coestimation Error of a Regionalized Locally Stationary Variable." Minerals 10, no. 2: 90.

Journal article
Published: 13 November 2019 in Applied Sciences
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Thanks to the digitalization of industry, maintenance is a trending topic. The amount of data available for analyses and optimizations in this field has increased considerably. In addition, there are more and more complex systems to maintain, and to keep all these devices in proper conditions, which requires maintenance management to gain efficiency and effectiveness. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, but often these programs are complex to manage and understand. The problem becomes more complex when equipment is analyzed in the context of a plant, where equipment can be more or less saturated, critical regarding quality, etc. Thus, this paper focuses on CBM optimization of a full industrial chain, with the objective of determining its optimal values of preventive intervention limits for equipment under economic criteria. It develops a mathematical plus discrete-event-simulation based model that takes the evolution in quality and production speed into consideration as well as condition based, corrective and preventive maintenance. The optimization process is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case, where the data gathered by the IoT (Internet of Things) devices at edge level can detect when some premises of the CBM model are no longer valid and request a new simulation. The simulation performed in a centralized way can thus obtain new optimal values who fit better to the actual system than the existing ones. Finally, these new optimal values can be transferred to the model whenever it is necessary. The approach developed has raised the interest of a partner of the Deusto Digital Industry Chair.

ACS Style

Aitor Goti; Aitor Oyarbide-Zubillaga; Ana Sanchez; Tugce Akyazi; Elisabete Alberdi. Multi Equipment Condition Based Maintenance Optimization Using Multi-Objective Evolutionary Algorithms. Applied Sciences 2019, 9, 4849 .

AMA Style

Aitor Goti, Aitor Oyarbide-Zubillaga, Ana Sanchez, Tugce Akyazi, Elisabete Alberdi. Multi Equipment Condition Based Maintenance Optimization Using Multi-Objective Evolutionary Algorithms. Applied Sciences. 2019; 9 (22):4849.

Chicago/Turabian Style

Aitor Goti; Aitor Oyarbide-Zubillaga; Ana Sanchez; Tugce Akyazi; Elisabete Alberdi. 2019. "Multi Equipment Condition Based Maintenance Optimization Using Multi-Objective Evolutionary Algorithms." Applied Sciences 9, no. 22: 4849.

Journal article
Published: 21 August 2019 in Finite Elements in Analysis and Design
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Variational space-time formulations for partial differential equations have been of great interest in the last decades, among other things, because they allow to develop mesh-adaptive algorithms. Since it is known that implicit time marching schemes have variational structure, they are often employed for adaptivity. Previously, Galerkin formulations of explicit methods were introduced for ordinary differential equations employing specific inexact quadrature rules. In this work, we prove that the explicit Runge-Kutta methods can be expressed as discontinuous-in-time Petrov-Galerkin methods for the linear diffusion equation. We systematically build trial and test functions that, after exact integration in time, lead to one, two, and general stage explicit Runge-Kutta methods. This approach enables us to reproduce the existing time-domain (goal-oriented) adaptive algorithms using explicit methods in time.

ACS Style

Judit Muñoz-Matute; David Pardo; Victor M. Calo; Elisabete Alberdi. Variational formulations for explicit Runge-Kutta Methods. Finite Elements in Analysis and Design 2019, 165, 77 -93.

AMA Style

Judit Muñoz-Matute, David Pardo, Victor M. Calo, Elisabete Alberdi. Variational formulations for explicit Runge-Kutta Methods. Finite Elements in Analysis and Design. 2019; 165 ():77-93.

Chicago/Turabian Style

Judit Muñoz-Matute; David Pardo; Victor M. Calo; Elisabete Alberdi. 2019. "Variational formulations for explicit Runge-Kutta Methods." Finite Elements in Analysis and Design 165, no. : 77-93.

Journal article
Published: 29 July 2019 in Applied Sciences
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Maintenance has always been a key activity in the manufacturing industry because of its economic consequences. Nowadays, its importance is increasing thanks to the “Industry 4.0” or “fourth industrial revolution”. There are more and more complex systems to maintain, and maintenance management must gain efficiency and effectiveness in order to keep all these devices in proper conditions. Within maintenance, Condition-Based Maintenance (CBM) programs can provide significant advantages, even though often these programs are complex to manage and understand. For this reason, several research papers propose approaches that are as simple as possible and can be understood by users and modified by experts. In this context, this paper focuses on CBM optimization in an industrial environment, with the objective of determining the optimal values of preventive intervention limits for equipment under corrective and preventive maintenance cost criteria. In this work, a cost-benefit mathematical model is developed. It considers the evolution in quality and production speed, along with condition based, corrective and preventive maintenance. The cost-benefit optimization is performed using a Multi-Objective Evolutionary Algorithm. Both the model and the optimization approach are applied to an industrial case.

ACS Style

Aitor Goti; Aitor Oyarbide-Zubillaga; Elisabete Alberdi; Ana Sanchez; Pablo Garcia-Bringas. Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms. Applied Sciences 2019, 9, 3068 .

AMA Style

Aitor Goti, Aitor Oyarbide-Zubillaga, Elisabete Alberdi, Ana Sanchez, Pablo Garcia-Bringas. Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms. Applied Sciences. 2019; 9 (15):3068.

Chicago/Turabian Style

Aitor Goti; Aitor Oyarbide-Zubillaga; Elisabete Alberdi; Ana Sanchez; Pablo Garcia-Bringas. 2019. "Optimal Maintenance Thresholds to Perform Preventive Actions by Using Multi-Objective Evolutionary Algorithms." Applied Sciences 9, no. 15: 3068.

Research article
Published: 10 March 2019 in International Journal for Numerical Methods in Engineering
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In goal‐oriented adaptive algorithms for partial differential equations, we adapt the finite element mesh in order to reduce the error of the solution in some quantity of interest. In time‐dependent problems, this adaptive algorithm involves solving a dual problem that runs backward in time. This process is, in general, computationally expensive in terms of memory storage. In this work, we define a pseudo‐dual problem that runs forward in time. We also describe a forward‐in‐time adaptive algorithm that works for some specific problems. Although it is not possible to define a general dual problem running forwards in time that provides information about future states, we provide numerical evidence via one‐dimensional problems in space to illustrate the efficiency of our algorithm as well as its limitations. Finally, we propose a hybrid algorithm that employs the classical backward‐in‐time dual problem once and then performs the adaptive process forwards in time.

ACS Style

Judit Muñoz‐Matute; David Pardo; Victor M. Calo; Elisabete Alberdi. Forward‐in‐time goal‐oriented adaptivity. International Journal for Numerical Methods in Engineering 2019, 119, 490 -505.

AMA Style

Judit Muñoz‐Matute, David Pardo, Victor M. Calo, Elisabete Alberdi. Forward‐in‐time goal‐oriented adaptivity. International Journal for Numerical Methods in Engineering. 2019; 119 (6):490-505.

Chicago/Turabian Style

Judit Muñoz‐Matute; David Pardo; Victor M. Calo; Elisabete Alberdi. 2019. "Forward‐in‐time goal‐oriented adaptivity." International Journal for Numerical Methods in Engineering 119, no. 6: 490-505.

Journal article
Published: 31 December 2018 in Computer Methods in Applied Mechanics and Engineering
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Goal-oriented adaptivity is a powerful tool to accurately approximate physically relevant solution features for partial differential equations. In time dependent problems, we seek to represent the error in the quantity of interest as an integral over the whole space–time domain. A full space–time variational formulation allows such representation. Most authors employ implicit time marching schemes to perform goal-oriented adaptivity as it is known that they can be reinterpreted as Galerkin methods. In this work, we consider variational forms for explicit methods in time. We derive an appropriate error representation and propose a goal-oriented adaptive algorithm in space. For that, we derive the forward Euler method in time employing a discontinuous-in-time Petrov–Galerkin formulation. In terms of time domain adaptivity, we impose the Courant–Friedrichs–Lewy condition to ensure the stability of the method. We provide some numerical results in 1D space + time for the diffusion and advection-diffusion equations to show the performance of the proposed explicit-in-time goal-oriented adaptive algorithm.

ACS Style

Judit Muñoz-Matute; Victor M. Calo; David Pardo; Elisabete Alberdi; Kristoffer G. van der Zee. Explicit-in-time goal-oriented adaptivity. Computer Methods in Applied Mechanics and Engineering 2018, 347, 176 -200.

AMA Style

Judit Muñoz-Matute, Victor M. Calo, David Pardo, Elisabete Alberdi, Kristoffer G. van der Zee. Explicit-in-time goal-oriented adaptivity. Computer Methods in Applied Mechanics and Engineering. 2018; 347 ():176-200.

Chicago/Turabian Style

Judit Muñoz-Matute; Victor M. Calo; David Pardo; Elisabete Alberdi; Kristoffer G. van der Zee. 2018. "Explicit-in-time goal-oriented adaptivity." Computer Methods in Applied Mechanics and Engineering 347, no. : 176-200.

Journal article
Published: 25 November 2018 in EKAIA Euskal Herriko Unibertsitateko Zientzia eta Teknologia Aldizkaria
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Konposizio metodoek, Ekuazio Diferentzial Arruntak (EDAak) ebazteko oinarrizko zenbakizko integrazio-metodo bat modu egokian konposatuz emaitzak hobetzeko aukera ematen dute. Lan honetan erreparatuko diegu bigarren ordenako zehaztasuna duen oinarrizko integratzaile simetriko bat erabiliz lortzen den konposizio metodo simetrikoei. Simetrien erabilerak, ordena-baldintzak sinplifikatzeaz gain, ezezagunen kopurua gutxitzea eragiten du. Asko dira honelako metodoen koefizienteak bilatzen jardun duten autoreak. Honela, ezaguna da aipaturiko eran lortutako 8 ordenako metodorik onenak 17 atal dituela, eta 10 ordenako eta 31, 33 eta 35 ataleko metodo oso onak ere lortu direla. Lan honetan 10 ordenako eta 31 ataleko konposizio metodo simetrikoak lortzeko sortu ditugun bi teknika aurkezten dira.

ACS Style

Elisabete Alberdi Celaya; Joseba Makazaga Odria; Ander Murua Uria. Integratzaile simetrikodun 10 ordenako konposizio metodo simetrikoen bilaketa. EKAIA Euskal Herriko Unibertsitateko Zientzia eta Teknologia Aldizkaria 2018, 99 -121.

AMA Style

Elisabete Alberdi Celaya, Joseba Makazaga Odria, Ander Murua Uria. Integratzaile simetrikodun 10 ordenako konposizio metodo simetrikoen bilaketa. EKAIA Euskal Herriko Unibertsitateko Zientzia eta Teknologia Aldizkaria. 2018; (34):99-121.

Chicago/Turabian Style

Elisabete Alberdi Celaya; Joseba Makazaga Odria; Ander Murua Uria. 2018. "Integratzaile simetrikodun 10 ordenako konposizio metodo simetrikoen bilaketa." EKAIA Euskal Herriko Unibertsitateko Zientzia eta Teknologia Aldizkaria , no. 34: 99-121.

Conference paper
Published: 01 November 2017 in ICERI2017 Proceedings
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Information about the paper titled "MODELLING GLIOMAS USING THE REACTION-DIFFUSION EQUATION" at IATED Digital Library

ACS Style

Elisabete Alberdi Celaya; Judit Muñoz Matute. MODELLING GLIOMAS USING THE REACTION-DIFFUSION EQUATION. ICERI2017 Proceedings 2017, 3594 -3600.

AMA Style

Elisabete Alberdi Celaya, Judit Muñoz Matute. MODELLING GLIOMAS USING THE REACTION-DIFFUSION EQUATION. ICERI2017 Proceedings. 2017; ():3594-3600.

Chicago/Turabian Style

Elisabete Alberdi Celaya; Judit Muñoz Matute. 2017. "MODELLING GLIOMAS USING THE REACTION-DIFFUSION EQUATION." ICERI2017 Proceedings , no. : 3594-3600.

Conference paper
Published: 01 November 2017 in ICERI2017 Proceedings
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Information about the paper titled "THE IMPORTANCE OF DESIGNING EFFICIENT ALGORITHMS USING DYNAMIC PROGRAMMING" at IATED Digital Library

ACS Style

Judit Muñoz Matute; Elisabete Alberdi Celaya. THE IMPORTANCE OF DESIGNING EFFICIENT ALGORITHMS USING DYNAMIC PROGRAMMING. ICERI2017 Proceedings 2017, 3601 -3610.

AMA Style

Judit Muñoz Matute, Elisabete Alberdi Celaya. THE IMPORTANCE OF DESIGNING EFFICIENT ALGORITHMS USING DYNAMIC PROGRAMMING. ICERI2017 Proceedings. 2017; ():3601-3610.

Chicago/Turabian Style

Judit Muñoz Matute; Elisabete Alberdi Celaya. 2017. "THE IMPORTANCE OF DESIGNING EFFICIENT ALGORITHMS USING DYNAMIC PROGRAMMING." ICERI2017 Proceedings , no. : 3601-3610.