Artículos en Revistas

Permanent URI for this collectionhttp://48.217.138.120/handle/20.500.12272/538

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Start date: 2023

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Now showing 1 - 10 of 29
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    Efficient mixed-integer linear programming model for integrated management of ready-mixed concrete production and distribution
    (Automation in Construction, 2025-02-14) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    The ready-mixed concrete industry plays a key role in the construction sector. Tight integration between different actors is required for developing a successful project. In this context, this paper presents a contribution to optimal daily planning of production and distribution operations in the concrete industry to meet the requirements of construction sites. Customized products must be produced and delivered satisfying the specific time windows proposed by customers. To solve this problem, traditional models often resort to approaches based on decomposition techniques or approximate methods, which may provide poor quality solutions that deviate significantly from optimal planning. In contrast, this article presents an integrated and exact approach to solve the problems of ready-mixed concrete batching, production and distribution, reaching the optimal global solution in good computational times. Several examples are solved to assess the capability and performance of the proposed formulation and its applicability to a real case in this industry.
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    MILP model for simultaneous batching, production and distribution operations in single-stage multiproduct batch plants
    (International Journal of Industrial Engineering Computations, 2025-04-08) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    Traditionally, the short-term production and distribution activities have been addressed with a decoupled and sequential methodology. Although this approach simplifies the problem, there are several environments where it generates inefficiencies or is simply not applicable. Consequently, the integration of both problems is very valuable in a variety of industrial applications, especially in industries where final products must be delivered to customers shortly after production. This paper presents a mixed-integer linear optimization model that simultaneously solves the production and distribution scheduling in a single-stage multi-product batch facility with multiple nonidentical units operating in parallel, where transportation operations are carried out with a heterogeneous fleet of vehicles. As operations are performed in a batch environment, the production and distribution problems also integrate decisions related to the number and size of batches required to meet the demand for multiple products. The capabilities of the proposed approach are illustrated through several cases of study. Finally, these examples are solved with a two-stage approach and the superiority of the solutions using the integrated approach is demonstrated.
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    A new integrated approach for solving batching, production scheduling and delivery problems in single-stage batch environments
    (Computers & Chemical Engineering, 2024-06-02) Tibaldo, Aldana; Montagna, Jorge Marcelo; Fumero, Yanina
    At operational level, production and distribution integration is very valuable in real-word applications, especially in industries where products must be delivered shortly after production, as in the case of perishable or customized products. Given that the involved decisions belong to different departments and considering their high combinatory, they are usually decoupled. Although this sequential approach simplifies decision making, it can lead to suboptimal solutions for the integrated problem. This paper presents a novel mixed-integer linear programming (MILP) model to simultaneously manage batching, production, and distribution decisions. An efficient strategy is proposed, where feasible routes that vehicles can travel are generated beforehand, which greatly simplify the formulation. Thus, infeasible routes are not considered (reduction of the search space) and several important decisions are made simultaneously when selecting a route (allocation and sequencing of the customers). The performance of this approach is superior to previous ones, especially in large problems.
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    A regularized approach for derivative-based numerical solution of non-linearities in phase change static hysteresis modeling
    (International Communications in Heat and Mass Transfer, 2025-04) Dittler, Ramiro A.; Demarchi, María Cecilia; Álvarez-Hostos, Juan C.; Albanesi, Alejandro E.; Tourn, Benjamín A.
    Phase change materials (PCMs) represent a promising solution for thermal energy storage (TES) since they can store and release energy in the form of latent heat during solid↔liquid transitions. Nevertheless, accurately simulating the thermal behavior of PCMs remains challenging due to the non-linearities concerning latent heat effects and enthalpy hysteresis. This work introduces a stable and robust procedure based on the finite element method (FEM) under a mixed enthalpy–temperature formulation to address such non-linearities, which enables the numerical solutions using derivative-based algorithms such as the Newton–Raphson (NR) method. The static hysteresis model (SHM) is implemented in the FEM-based formulation via a regularization of the liquid fraction function in response to the sign of the temperature rate. This novel approach ensures a continuous and smooth heating↔cooling transition while retaining the SHM energy-conservative features to properly solve its non-linearities. The method is validated through a one-dimensional benchmark problem, demonstrating high performance and physical fidelity for both complete and partial phase changes. It achieves second-order convergence rates, ensures numerical stability even for large time steps, and maintains accuracy under diverse thermal boundary conditions. Finally, the method is extended to two-dimensional problems, highlighting its robustness and scalability for practical applications in TES systems.
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    Enhancing the accuracy of thermal model calibration: Integrating zone air and surface temperatures, convection coefficients, and solar and thermal absorptivity
    (Energy and Buildings, 2025-06-01) Demarchi, María Cecilia; Gervaz Canessa, Sofía; Pena Vergara, Gabriel; Albanesi, Alejandro E.; Favre, Federico
    Building energy simulation models are indispensable tools for predicting thermal and energy performance and evaluating building energy efficiency. However, in the calibration and sensitivity analysis of these models, most studies focus on air temperatures or energy consumption, typically not taking into account critical parameters such as surface temperatures, convective heat transfer coefficients, and thermal and solar absorptivities. In this context, this work complements prior studies by incorporating these critical parameters, including convection coefficients and thermal and solar absorptivity, enhancing both the reliability and completeness of building simulation models. Using a monitoring period, air and surface temperature data were collected under free-floating conditions and supplemented with meteorological records from an on-site station. Optimization was performed using the root mean square error (RMSE) metric to minimize discrepancies between measured and simulated values of zone air and surface temperatures. The results demonstrate that the detailed calibration strategy, which considers convective coefficients and material absorptivities as design variables and minimizes errors in both air and surface temperature predictions, significantly enhances model accuracy. This approach reduces the RMSE of air temperature predictions by 60 % and the RMSE of surface temperature predictions by 73 % (walls), 79 % (inner roof), 42 % (outer roof), and 82 % (floor). Further analysis of heat gains and losses emphasizes the critical role of these parameters in the accuracy in the modeling of building-environment interactions. This detailed and robust approach ensures a more precise and reliable simulation model, highlighting the critical role of advanced calibration techniques in optimizing building energy performance simulations.
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    A shot in the dark : the current state of PCM hysteresis modelling in building energy simulation software
    (2025-02-16) Zhilyaev, Dmitry; Albanesi, Alejandro E.; Demarchi, María Cecilia; Fachinotti, Víctor D.; Bakker, Hans L. M.; Jonkers, Henk M.
    Phase change materials (PCM) are receiving an ever-growing attention as a promising construction material for improving building energy performance through thermal storage and peak load shifting. The analysis of PCM performance and decision-making related to PCM implementation in building envelope often rely on building energy simulation software such as EnergyPlus – a de-facto standard in the academic world and the industry. For a precise modelling of the dynamic PCM behaviour it is essential to correctly account for PCM hysteresis. This work provides an in-depth analysis of four publicly available EnergyPlus-based hysteresis models and identifies the existing limitations for each of them. Furthermore, it explores the effects of PCM model selection on decision-making using the example of novel PCM-embedded material development. The results of this study show that the current built-in hysteresis model in EnergyPlus is not implemented correctly, and none of the other analysed models is completely free of limitations. Moreover, this work draws attention to the existing contradictions between different PCM modelling approaches, highlighting the critical impact the selection of a PCM model has on PCM-related decision-making. We conclude that while the existing hysteresis models in EnergyPlus are operable – albeit with great caution – they are not yet at the stage where they could be used as a reliable decision-making support tool. Practical real-world integration of PCM in building envelopes is hardly possible without having dependable modelling tools to back it up, and the development of such tools requires far more attention than it is given at the moment.
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    Contact force multiscale calculation in the framework of the non-smooth dynamic approach
    (International Journal of Numerical Method and Engineering, 2025-03-31) Cavalieri, Federico J.; Sánchez, Eliana; Cardona, Alberto
    Smooth contact models derived from the Hertz theory are widely used in structural dynamics analysis to calculate variable in time forces, stresses, and deformations. However, these models require very small time steps during the period in which bodies are in contact to integrate the equations of motion, yielding in a highly time-consuming numerical solution. Furthermore, penetration between bodies is unavoidable. On the other hand, nonsmooth techniques use an impact law to calculate the impulses. They arrive to a scheme with a constant time step resulting in very efficient calculations. However, these techniques do not provide a straightforward approach to calculate the variable in time contact forces that are needed to verify or design the structural components. In this work, a new methodology of calculation of impact forces that combines the impulse values obtained from non-smooth algorithms together with a local contact force law derived from continuous force models is presented. Thus, the computational time required to calculate the contact forces is reduced significantly. Several numerical examples are presented to show the robustness and performance of the proposed methodology.
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    Impact between spherical rigid bodies including frictional effects
    (International Journal of Numerical Method and Engineering, 2024-10-30) Sánchez, Eliana; Cosimo, Alejandro; Brüls, Olivier; Cardona, Alberto; Cavalieri, Federico J.
    This work presents a new contact element which allows to simulate the impact between spherical bodies assuming instantaneous local impact events by the classical Newton impact law and a rigid behaviour of the bodies. The geometrical properties of the spheres are described by a rigid body formulation with translational and rotational degrees of freedom. In addition, an extension of the non-smooth generalized α time integration scheme applied to multi-impact collisions including Coulomb’s friction is given. Six numerical examples are presented to evaluate the robustness and the performance of the proposed methodology.
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    Non-smooth numerical solution for Coulomb friction and sliding, rolling and spinning resistance applied to flexible multibody system dynamics
    (Multibody System Dynamics, 2023-06) Sánchez, Eliana; Cosimo, Alejandro; Brüls, Olivier; Cardona, Alberto; Cavalieri, Federico J.
    This paper presents the general motion of a sphere in contact with a rigid planar rigid surface under rolling, sliding and spinning friction in the context of non-smooth contact dynamics. The equation of motion are solved by the non smooth generalized α implicit time integration scheme where the constrains at position and at velocity level are satisfied exactly without requiring to define any penalty parameter. The geometrical properties of the spheres are described by a rigid body formulation with translational and rotational degrees of freedom. The robustness and the performance of the proposed methodology is demonstrated by different examples including both flexible and/or rigid elements.
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    The role of ontologies in Smart Contracts : a systematic literature review
    (Journal of Industrial Information Integration, 2024-07) Alvarado Domínguez, Johnny; Gonnet, Silvio; Vegetti, Marcela
    The aim of this systematic literature review is to provide a comprehensive understanding of how ontologies address current Smart Contract challenges, identify application scenarios, and present tools and technologies associated with their use. This systematic literature review (SLR), following Kitchenham's methodology, analyses peerreviewed articles from 2015 to August 2022 from databases such as Scopus, IEEE, Science Direct, Springer Link and ACM. Of the 501 publications identified, 21 are selected for in-depth review based on inclusion, exclusion and quality assessment criteria. The results of this SLR show that ontologies provide solutions to the challenges faced by Smart Contracts mainly at the creation stage. They allow the terms of the contract and the roles of the parties to be defined. Ontologies also enable the development of Smart Contract templates. This facilitates their use by people without technical programming expertise. Despite these potential solutions to the challenges that Smart Contracts face throughout their lifecycle, they lack verification. This increases the vulnerabilities to which Smart Contracts are exposed. Developing validation and verification tools could facilitate using ontologies to create Smart Contracts for different real-world cases.