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Browsing Artículos Ingeniería by Title

Now showing items 1-20 of 180

A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona

Graells-Garrido, Eduardo; Rowe, Francisco; Serra-Burriel, Feliu; Cucchietti, Fernando M.; Reyes, Patricio (2021)

As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the “15-minutes city” have been put in place to shift the ...
A combined photovoltaic and novel renewable energy system: An optimized techno-economic analysis for mining industry applications

Vyhmeister, Eduardo; Muñoz, Cristina Aleixendri; Bermúdez, José Miguel; Pina Moya, Javier; Fúnez Guerra, Carlos; Rodríguez Mayor, Lourdes; Godoy Faúndez, Alex; Higueras, Pablo; Clemente-Jul, Carmen; Valdés-González, Héctor; Reyes-Bozo, Lorenzo (01/04/2017)

The productivity of the mining industry in Chile, currently the main driver of Chilean economy, is closely tied to foreign demand for ores. Ore-processing is known for involving energy–intensive processes, such as comminution, ...
A comparison of optimization models for lumber production planning

Palma, Cristian D.; Sepúlveda, Héctor; Vergara, Francisco P. (2015)

The performance of sawmills is strongly dependent on how logs are sawn into lumber in order to satisfy the customer demands. To do this, sawmill managers have to decide which cutting patterns have to be applied to logs of ...
A Cross-Cutting Approach for Relating Anthropocene, Environmental Injustice and Sacrifice Zones

Gayo, Eugenia M.; Muñoz, Ariel A.; Maldonado, Antonio; Lavergne, Céline; Francois, Jean Pierre; Rodríguez-Oroz, Delia; Klock-Barría, Karin; Sheppard, Paul R.; Aguilera-Betti, Isabella; Alonso-Hernández, Carlos; Mena-Carrasco, Marcelo; Urquiza, Anahí; Gallardo, Laura (2022)

The Anthropocene is an uneven phenomenon. Accelerated shifts in the functioning of the Earth System are mainly driven by the production and consumption of wealthy economies. Social, environmental and health costs of such ...
A deep learning approach for real-time crash prediction using vehicle-by-vehicle data

Basso, Franco; Pezoa, Raúl; Varas, Mauricio; Villalobos, Matías (2021)

In road safety, real-time crash prediction may play a crucial role in preventing such traffic events. However, much of the research in this line generally uses data aggregated every five or ten minutes. This article proposes ...
A Framework to Understand Attitudes towards Immigration through Twitter

Freire-Vidal, Yerka; Graells-Garrido, Eduardo; Rowe, Francisco (2021)

Understanding public opinion towards immigrants is key to prevent acts of violence, discrimination and abuse. Traditional data sources, such as surveys, provide rich insights into the formation of such attitudes; yet, ...
A mathematical basis for the graphene

Conca, C.; San Martín, J.; Solano, Viviana (2020)

We present a new basis of representation for the graphene honeycomb structure that facilitates the solution of the eigenvalue problem by reducing it to one dimension. We define spaces in these geometrical basis that allow ...
A multi-objective approach for supporting wine grape harvest operations

Varas, Mauricio; Basso, Franco; Maturana, Sergio; Osorio, David; Pezoa, Raúl (2020)

In this paper, we present a novel multi-objective mixed-integer linear programming model to support wine grape harvesting. The proposed model considers the opposing nature of operational cost minimization and grape quality ...
A Multiobjective Model for the Cutting Pattern Problem with Unclear Preferences

Palma, Cristian D.; Vergara, Francisco P. (2016)

The cutting pattern problem has been traditionally approached using single objective optimization models, although the sawmill performance is usually measured using more than a single indicator. One of the shortcoming of ...
A New Genetic Algorithm Encoding for Coalition Structure Generation Problems

Contreras, Juan Pablo; Bosch, Paul; Varas, Mauricio; Basso, Franco (2020)

Genetic algorithms have proved to be a useful improvement heuristic for tackling several combinatorial problems, including the coalition structure generation problem. In this case, the focus lies on selecting the best ...
A New State-of-the-Art Platform for Probabilistic and Deterministic Seismic Hazard Assessment

Candia, Gabriel; Macedo, Jorge; Jaimes, Miguel A.; Magna-Verdugo, Carolina (2019)

A new computational platform for seismic hazard assessment is presented. The platform, named SeismicHazard, allows characterizing the intensity, uncertainty, and likelihood of ground motions from subduction-zone (shallow ...
A New Warmstarting Strategy for the Primal-Dual Column Generation Method

Gondzio, J; González-Brevis, P (Springer, 2015)

This paper presents a new warmstarting technique in the context of a primal-dual column generation method applied to solve a particular class of combinatorial optimization problems. The technique relies on calculating an ...
A nonlinear model for multilayered rubber isolators based on a co-rotational formulation

Maureira, N.; Llera, J. de la; Oyarzo, C.; Miranda, S. (01/01/2017)

This article proposes a geometrically nonlinear co-rotational model aimed to characterize the mechanical behavior of elastomeric seismic isolators. The model is able to capture the axial and lateral coupling in both axial ...
A Robust Model for Protecting Road-Building and Harvest-Scheduling Decisions from Timber Estimate Errors

Palma, Cristian D.; Nelson, John D. (2014)

Road-building and harvest-scheduling decisions are primarily based on timber estimates and forecasts that are known to contain errors. It has been shown that in the presence of constraints, decisions generated under these ...
A satellite-based ex post analysis of water management in a blueberry orchard

Holzapfel, Eduardo; Lillo-Saavedra, Mario; Rivera, Diego; Gavilán, Viviana; García-Pedrero, Angel; Gonzalo-Martín, Consuelo (2020)

In the scenario of current water scarcity caused by climate change and increasing water demand for food production, farmers must adapt their water management practices by shifting from supply-driven water management to ...
A Simplified and Versatile Element Model for 2 Elastomeric Seismic Isolation Bearings

Miranda, Sebastián; Miranda, Eduardo; Llera, Juan Carlos de la (2021)

A novel approach for two-dimensional modeling of elastomeric bearings using three springs in parallel is presented. This simplified element model considers as follows: (1) an elastoplastic spring with a smooth transition ...
A User-Centered Mobile Cloud Computing Platform for Improving knowledge Management in Small-to-Medium Enterprises in the Chilean Construction Industry

Núñez, Daniela; Ferrada, Ximena; Neyem, Andrés; Serpell, Alfredo; Sepúlveda, Marcos (2018)

Knowledge management (KM) is a key element for the development of small-to-medium enterprises (SMEs) in the construction industry. This is particularly relevant in Chile, where this industry is composed almost entirely of ...
A vehicle-by-vehicle approach to assess the impact of variable message signs on driving behavior

Basso, Franco; Cifuentes, Álvaro; Pezoa, Raúl; Varas, Mauricio (2021)

Variable Message Signs (VMS) provide real-time information on traffic conditions, making it possible to guide drivers through electronic signs along the road. Relevant literature has proved VMS to be effective, especially ...
Accessibility to opportunities based on public transport gps-monitored data: The case of Santiago, Chile

Basso, Franco; Frez, Jonathan; Martínez, Luis; Pezoa, Raúl; Varas, Mauricio (2020)

We study buses' accessibility to education, health, and job opportunities in Santiago, Chile. Our approach computes travel times during a week using full real-world GPS data for the 6681 buses of the public transport system. ...
Adoption-Driven Data Science for Transportation Planning: Methodology, Case Study, and Lessons Learned

Graells-Garrido, Eduardo; Peña-Araya, Vanessa; Bravo, Loreto (2020)

The rising availability of digital traces provides a fertile ground for data-driven solutions to problems in cities. However, even though a massive data set analyzed with data science methods may provide a powerful and ...

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