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    Documents published in 2025

    • Algorithms and communication: A systematized literature review

      B. García-Orosa, J. Canavilhas, J. Vázquez-Herrero
      Colección de pruebas Jesús Sánchez (2025). 5

      Abstract

      La influencia de los algoritmos en la sociedad es cada vez mayor a través de una presencia creciente en todos los ámbitos de la vida diaria, sin que seamos conscientes de ello y, en ocasiones, usurpando la identidad de otros actores sociales. El artículo tiene como propósito principal abordar la metainvestigación sobre el campo de la inteligencia artificial y la comunicación, desde una perspectiva holística que permita analizar el estado de la investigación académica, así como los posibles efectos en estas dos áreas y en la convivencia en un sistema democrático. Para ello se lleva a cabo una revisión sistematizada de la literatura reciente desde enfoques cuantitativos y cualitativos. La temática analizada es cambiante y novedosa; incluye el impacto y la interacción de algoritmos, bots, procesos automatizados y mecanismos de inteligencia artificial en el periodismo y la comunicación, así como su efecto en la democracia. Los resultados dibujan una producción científica en expansión, mayoritariamente en inglés, basada en la discusión teórica o centrada en la percepción de los profesionales de la comunicación. El objeto de estudio mayoritario se sitúa en el periodismo y en la democracia, con menor implicación de la ética o la educación. Los estudios señalan un gran interés sobre los efectos del uso de algoritmos sobre el periodismo y la democracia, pero las respuestas son todavía inciertas y los retos para los próximos años importantes.

      Abstract
      La influencia de los algoritmos en la sociedad es cada vez mayor a través de una presencia creciente en todos los ámbitos de la vida diaria, sin que seamos conscientes [...]

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    • Freshwater Snail Optimizer: A Bio-Inspired Optimizer for Engineering Design Problems

      G. Liu, J. Pan, S. Chu, R. Wang, B. Yang, Y. Yu, S. Mirjalili
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. Online First, 85

      Abstract

      As the scale and nonlinearity of optimization problems continue to increase, traditional deterministic solution strategies are becoming increasingly flawed in the face of the exponential growth of search space dimensions and multimodal objective functions. Metaheuristic algorithms, with their probability-driven global search capabilities and local development capabilities, have gradually become an essential tool for solving complex optimization tasks. We propose a Freshwater Snail Optimizer (FSO), inspired by the social behavior of water snails in terms of movement and collision, as a metaheuristic algorithm. FSO combines the floating of water snails’ air chambers, movement in the water, and population collisions and divides them into groups during initialization to balance exploration and development, achieving gratifying optimization results, especially in high-dimensional problems. We utilized CEC 2017 and CEC 2022 to qualitatively analyze FSO in various problems, and employed the Friedman test and Wilcoxon rank sum test for statistical testing. Experimental results show that our proposed FSO achieved 32 first-place results on 41 problems compared with 9 classic algorithms, and 27 first-place results when compared with 9 emerging algorithms that appeared in the past two years. FSO has also achieved the first comparison results in six engineering optimizations on multiple occasions, proving that FSO possesses well optimization capabilities and practicality for real-world problems. The source code accompanying this article has been released at:https://github.com/leogalaxy0603/Freshwater-SnailOptimizer(accessed on 12 October 2025).OPEN ACCESS Received: 19/08/2025 Accepted: 13/10/2025

      Abstract
      As the scale and nonlinearity of optimization problems continue to increase, traditional deterministic solution strategies are becoming increasingly flawed in the face of [...]

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    • Approximate Calculation of the Generalized Erdélyi-Kober Operator Using a Cubic Spline

      S. Karimov, E. Islamov, E. Shishkina
      (Select a year).

      Abstract

      This article investigates the problem of approximating the generalized Erdélyi-Kober fractional operator (often referred to as the Lowndes operator) using cubic splines. A method based on cubic spline interpolation is proposed for approximating the operator on a non-uniform grid. The convergence rate of the proposed method is proven, and its stability is analyzed. Error bounds are established for functions in the class C4[0; b], providing a mathematical justification for the accuracy of the approximation. The efficiency of the method is validated through practical examples using test functions such as f (x)= x4.7and f (x)= cos x, with results presented in graphical and numerical forms. This approach ensures high accuracy and flexibility in computing fractional integrals, which is of significant importance for solving fractional models used in physics, engineering, and other sciences. The article also provides an overview of the role of the generalized Erdélyi-Kober operator in modern fractional calculus and its applications.OPEN ACCESS Received: 06/06/2025 Accepted: 08/09/2025 Published: 27/10/2025

      Abstract
      This article investigates the problem of approximating the generalized Erdélyi-Kober fractional operator (often referred to as the Lowndes operator) using cubic splines. [...]

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    • Coupling of FEM and FVM Codes for Optimal Control

      S. Baldini, G. Barbi, A. Cervone, F. Giangolini, S. Manservisi, L. Sirotti, G. Bornia
      coupled25.

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    • Multiscale and multiphysics simulation leveraging coupling techniques and state-of-the-art codes

      S. Baldini, G. Barbi, A. Cervone, F. Giangolini, S. Manservisi, L. Sirotti
      coupled25.

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    • High-Order Multidisciplinary Time Integration Towards Adaptive Time Stepping

      I. Shuvi, F. Roß, A. Stück
      coupled25.

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    • Acceleration of Extreme Scale Flow Simulations through Hierarchical Mesh Partitioning

      J. Fenske, M. Cristofaro, A. Rempke
      coupled25.

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    • Numerical Coupling of a FVM and FEM Codes Applied to a Low-Prandtl Turbulent Square Cavity

      F. Giangolini, S. Manservisi, L. Sirotti, A. Cervone, S. Baldini, G. Barbi
      coupled25.

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    • A FEM-FVM Coupling Code for Numerical Simulation of a Liquid Metal Heat Exchanger

      L. Sirotti, S. Baldini, G. Barbi, A. Cervone, F. Giangolini, V. La Salandra, S. Manservisi
      coupled25.

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    • Multiscale Modelling with Data-Driven Brain Networks: Misfolded Proteins and Astrocytic Clearance in Alzheimer’s Disease

      H. Shaheen, R. Melnik
      coupled25.

      • 4
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    • Multiphysics Modelling of Fracture in Non-Isothermal Multiphase Clayey Soils with the Crack Phase-Field Approach: Preliminary Investigations

      L. Sanavia, Z. Chen, L. De Lorenzis
      coupled25.

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    • Locomotion of Cardiomyocytes-Powered Swimmers: a Numerical Study Based on Fluid-Structure-Electrophysiology-Interaction

      R. Santoriello, F. Viola, V. Citro
      coupled25.

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    • Grid Deformation Challenges during Partitioned Simulation of Constrained Melting

      V. Van Riet, W. Beyne, J. Degroote
      coupled25.

      • 8
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    • Development, Experimental Validation, and Uncertainty Quantification Analysis of a Multiphysics Digital Twin for Predicting Thermal Behavior in Automotive Lithium Batteries

      D. Fedeli, M. Lagnoni, C. Scarpelli, F. Quilici, A. Bertei, G. Lutzemberger, M. Salvetti
      coupled25.

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    • Construction and Orthogonality of Fractional Laguerre Functions via the Caputo Derivative

      K. Abuasbeh, M. Awadalla, A. Sharif, M. Balti
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 79

      Abstract

      This paper presents a rigorous framework for generalizing Laguerre polynomials to the fractional domain using the Caputo derivative. We solve the resulting fractional Laguerre differential equation via the power series method, deriving an explicit formfor the fractional Laguerre functions. A key contribution is the identification of a novel weight function, wα(x) = x−(2α−1)e−x, which is essential to prove the orthogonality of these functions over the interval [0,∞). Comprehensive numerical validation is provided, confirming the theoretical orthogonality across a wide range of fractional orders α and demonstrating a clean reduction to the classical polynomials when α = 2. An analysis of computational feasibility confirms the practical applicability of these functions for solving fractional differential equations and other applied problems.

      Abstract
      This paper presents a rigorous framework for generalizing Laguerre polynomials to the fractional domain using the Caputo derivative. We solve the resulting fractional Laguerre [...]

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    • A Review of Earthquake Landslide Hazard Assessment Methods

      F. Xiong, J. Sun, S. Han
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 75

      Abstract

      Landslides triggered by earthquakes are large in scale and wide in scope, making them one of the most serious geological disasters. Earthquake landslide hazard assessment has become an important part of disaster reduction and prevention work. Based on existing research and assessment practices, such an assessment is divided into two levels: individual landslide assessment and regional landslide assessment. The individual assessment, mainly required by specific engineering seismic issues, serves as the foundation of earthquake landslide hazard assessment. It includes two analysis methods: qualitative analysis based on causal relationships (e.g., comprehensive indicator modeling, logistic regression, neural network modeling, information quantity evaluation) and mechanical analysis based on physical-mechanical mechanisms (e.g., quasi-static method, Newmark method, dynamic time-history method). This paper summarizes the characteristics and problems of these two methods. Regional assessment caters to regional strong earthquake geological disaster rescue deployment, future earthquake defense planning, and engineering construction strategic layout. It has two strategies—“from region to individual” (earthquake-focused, coarse-to-fine) and “from individual to region” (landslide-focused, point-to-area)—which differ in observation angles and technical routes. Currently, the individual assessment can estimate landslide hazard probability by considering potential seismic source ori-entations, but the regional assessment lags, e.g., ignoring such orientations and lacking the application of the dynamic time-history method. Thus, this paper proposes establishing slope seismic resistance fields and multi-azimuth seismic impact fields, then overlaying them to determine regional earth-quake landslide distribution probability, and points out future research directions.

      Abstract
      Landslides triggered by earthquakes are large in scale and wide in scope, making them one of the most serious geological disasters. Earthquake landslide hazard assessment [...]

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    • Classical and Bayesian Inference of Engineering and Disability Data: Using the Kavya Manoharan Power Chris-Jerry Distribution under Hybrid Censoring

      A. Ahmadini, A. El-Saeed, E. Almetwally, M. Elgarhy
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 80

      Abstract

      In this article, we study and introduce the Kavya-Manoharan power ChrisJerry distribution (KMPCJD) which is a new generation of the power Chris-Jerry distribution (PCJD) which is suitable for engineering and disability data. The probability density curves of KMPCJD demonstrate that it has practical applications in analyzing engineering and disability data in Saudi Arabia. Researchers have a lot of flexibility when developing statistical models for research on disability issues, since the hazard rate function (HRF) for KMPCJD can exhibit J-shaped, increasing, and decreasing trends. In addition, several significant KMPCJD features are calculated, including moments, reliability metrics, moment-generating function, and order statistics. Using data on engineering and disability difficulties, we estimate the parameters of KMPCJD and use classical and Bayesian techniques to assess their reliability and HRF under hybrid censored schemes. Asymptotic confidence/credible intervals are calculated. The numerical results show that when the sample size n increases while keeping other factors like r and T constant, the estimators for δ and λ show improved performance in terms of reduced Bias, mean square error (MSE), and narrower confidence intervals. Also, the Bayesian method also produces shorter credible intervals (LCCI) compared to the traditional confidence intervals (LACI) from ML and MPS methods, suggesting higher precision. To show the utility of the suggested distribution, it was tested in five datasets related to engineering and disability issues in Saudi Arabia. The KMPCJD performed better in terms of goodness of fit than a number of models, including the Kavya Manoharan Rayleigh inverted Weibull distribution, Kavya Manoharan Burr X distribution, exponentiated generalized power Lindley distribution, Weibull power Lindley distribution, power Lindley distribution, Kavya Manoharan generalized exponential distribution, power XLindley distribution, Kavya Manoharan unit exponentiated half logistic distribution, and PCJD. Due to its superior fit capabilities, the KMPCJD is suggested for data modeling in disciplines including engineering and disability difficulties.OPEN ACCESS Received: 27/08/2025 Accepted: 19/09/2025 Published: 27/11/2025

      Abstract
      In this article, we study and introduce the Kavya-Manoharan power ChrisJerry distribution (KMPCJD) which is a new generation of the power Chris-Jerry distribution (PCJD) which [...]

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    • F-Q-LiTO: A Federated Q-Learning-Based Lightweight Intelligent Task Orchestrator for Multi-Tenant Container Clusters

      V. Veeramani, M. Balamurugan, M. Oberoi
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 78

      Abstract

      The demand for intelligent, scalable, and energy-conscious container orchestration has increased due to the growth of microservice-based designs and multi-tenant workloads. A novel federated reinforcement learning framework for adaptive task scheduling in heterogeneous container clusters, F-Q-LiTO (Federated Q-Learning-Based Lightweight Intelligent Task Orchestrator), is proposed in this research. In contrast to traditional orchestrators, F-Q-LiTO uses federated Q-learning to decentralise decision-making, guaranteeing convergence across dispersed nodes while maintaining data locality and minimising synchronisation overhead. The system has several lightweight components, including energy-conscious placement penalties, XOR filters for secure container fingerprinting, Count-Min Sketches (CMS) for constant-space resource estimation, and workload forecasting based on the Long Short-Term Model (LSTM) for proactive migration. In comparison to DeepPlace, F-Q-LiTO reduced task deadline misses by around 34% and achieved an average SLA satisfaction of 96.8% when tested on simulated multitenant workloads with over 1000 tasks. Ablation studies confirm that federated coordination and predictive migration materially improve performance. Global Q-values converged within six episodes, and SHAPbased explanations identify CPU forecast, SLA urgency, and node energy state as dominant decision factors. F-Q-LiTO demonstrates practical, interpretable, and low-latency orchestration suitable for dynamic edge– cloud deployments.OPEN ACCESS Received: 01/08/2025 Accepted: 09/10/2025 Published: 27/11/2025

      Abstract
      The demand for intelligent, scalable, and energy-conscious container orchestration has increased due to the growth of microservice-based designs and multi-tenant workloads. [...]

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    • AI-Enhanced and Other Load Modelling in Modern Power Systems: A Comprehensive Review of Advances, Challenges, and Future Directions

      S. Singh, M. Singh, A. Singh, S. Kumar
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 77

      Abstract

      Load modelling is a crucial element of power system study that significantly affects the field’s planning, operation, and control methods. With the increasing penetration of renewable energy sources, electric vehicles, demand-side management, and distributed generation (DG), the traditional static and dynamic load model approaches are being replaced. This paper reviews extensively the existing load modelling techniques, namely, component-based load modelling, measurement-based load modelling, and hybrid methods. In addition, advancements tuned by artificial intelligence (AI) and machine learning (ML) are critically reviewed, emphasizing improving the accuracy, flexibility, and real-time adaptability of load models. For instance, Long Short-Term Memory (LSTM) networks have demonstrated significant improvements in forecasting accuracy, while Reinforcement Learning (RL) techniques enable adaptive and real-time control of load dynamics. Special focus is laid on load modelling in conditions of imbalance, dynamic parameter identification, and integration with smart grids and active distribution networks (ADNs). The review also discusses the importance of uncertainty embedded in probabilistic and data-driven models, customer behaviour, and the stochastic nature of distributed energy resources (DERs). The areas of future study emphasized AI-assisted adaptive architectures, hybrid frameworks, and digital twin applications for resilient and intelligent load modelling.OPEN ACCESS Received: 01/08/2025 Accepted: 26/09/2025 Published: 27/11/2025

      Abstract
      Load modelling is a crucial element of power system study that significantly affects the field’s planning, operation, and control methods. With the increasing penetration [...]

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    • Generalized Convergence of Sequences of Fuzzy Numbers by Means of Modulus Functions

      I. Ibrahim, D. Baleanu, M. Yousif, P. Mohammed, T. Abdeljawad
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 76

      Abstract

      In this paper, we extend the concepts of statistical convergence and strong summability for the sequences of fuzzy numbers using modulus functions. By introducing appropriate conditions on the modulus functions, we generalize and refine existing notions of convergence within the fuzzy setting. Additionally, we establish several interrelationships between these extended concepts, thereby contributing to the deeper understanding of summability and convergence behavior in the sequences of fuzzy numbers.OPEN ACCESS Received: 16/06/2025 Accepted: 20/08/2025 Published: 27/11/2025

      Abstract
      In this paper, we extend the concepts of statistical convergence and strong summability for the sequences of fuzzy numbers using modulus functions. By introducing appropriate [...]

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    • Modeling and Thermal Analysis of a Ground Cooling System for Drilling Fluids in Ultra-Deep Wells

      J. Wang, Z. Song, Y. Chen, B. Zheng, S. Deng, K. Xu, B. Wang, Q. Ren
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 74

      Abstract

      Elevated downhole temperatures in ultra-deep wells (>8000 m) accelerate thermal degradation of drilling fluids and tools, reducing operational safety and efficiency. The reduction of wellbore temperature is an important issue. In this paper, a cooling system model for a drilling fluid was designed. Additionally, a comprehensive analysis of the heat transfer behavior within ultra-deep wells was conducted. A miniaturized heat exchange cooling device was used to simulate various conditions, including fluid media, flow rate, drilling fluid/coolant temperature, and heat exchanger structure. This analysis elucidates the impact of various factors on cooling efficiency. The experimental results show that the cooling effect is best at a medium flow rate, with a refrigerant temperature of−10°C reducing the temperature of pure water from 60°C to 32°C. The experiment also found that the higher the temperature of the pure water and the lower the temperature of the coolant, the better the heat transfer efficiency. For water-based drilling fluid, the optimum cooling flow rate is around 0.52 m/s, with an average Reynolds number of 4966, and the maximum cooling range can exceed 30°C. Furthermore, the coil heat exchanger significantly improves the cooling rate compared to the straight-tube heat exchanger, although the pressure difference also increases. The cooling rate of oil-based drilling fluid at high flow rates is greater than that of water-based drilling fluid, and the pressure difference in the coil heat exchanger for oil-based drilling fluid, which has higher viscosity, increases significantly. This research provides an experimental basis for the design and optimization of drilling fluid surface cooling systems, which is crucial for improving the safety and efficiency of deep and ultra-deep wells drilling.OPEN ACCESS Received: 10/06/2025 Accepted: 15/08/2025 Published: 27/11/2025

      Abstract
      Elevated downhole temperatures in ultra-deep wells (>8000 m) accelerate thermal degradation of drilling fluids and tools, reducing operational safety and efficiency. The [...]

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    • Multi-Dimensional Mechanical Properties Approach to Analyzing Thin UHPFRC Decks

      M. Liu, X. Li, A. Auwal, F. Cui
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 73

      Abstract

      This study evaluates the flexural behavior of an Ultra high performance fiber-reinforced concrete (UHPFRC) slab through experimental and Finite Element Method (FEM) analytical investigations. A full-size U-UHPFRC bridge deck specimen serves as a reference for the research. A nonlinear FEM is put forward to link material characteristics, failure mode, and bearing capacity of U-UHPFRC decks, considering the failure behavior with different impact parameters of reinforcement ratio, thickness and side ratio. The flexural performance calculation formula for UHPFRC slabs was derived using three failure modes. The results indicate that this method can effectively predict the load transfer and distribution patterns of UHPFRC thin slabs, providing a reference range for the reinforcement ratio, thickness and long-short side ratio in UHPFRC one-way or two-way slabs. These research results can optimize the crack resistance and toughness of thin UHPFRC decks, improve durability, and appropriately reduce carbon emissions. It is suitable for bridges or special structures with higher load requirements and provides theoretical support for the full-life operation and development of UHPFRC components.OPEN ACCESS Received: 31/05/2025 Accepted: 10/07/2025 Published: 27/11/2025

      Abstract
      This study evaluates the flexural behavior of an Ultra high performance fiber-reinforced concrete (UHPFRC) slab through experimental and Finite Element Method (FEM) analytical [...]

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    • Numerical Analysis of Geometry and Hole Effects on Fatigue Crack Growth and Component Lifespan

      E. Kakavand, A. Parsania, S. Hosseini
      Rev. int. métodos numér. cálc. diseño ing. (2025). Vol. 41, (4), 72

      Abstract

      Mechanical failures have caused significant damage and financial losses. However, compared to the vast number of successful designs for mechanical components and structures, mechanical failures are relatively rare. Mechanical failures involve a highly complex interaction between time, load, and the environment, with the environment comprising two factors: temperature and corrosion. The load can be uniform, steady, variable, uniaxial, or multiaxial. Undesirable effects of cyclic loads lead to crack initiation and growth, ultimately resulting in component failure. In this study, the focus is on increasing the life of components under cyclic loading by investigating crack behavior and development in the presence of stop holes. The investigation was conducted on aluminum 7075. Initially, the arrangement of circular holes in the standard CT sample was obtained using Design Expert software to assess this effect. By performing simulations in Abaqus software, the life of each sample was determined. In the next stage, based on these results, the samples are subjected to examination in the presence of key-shaped notches.OPEN ACCESS Received: 22/03/2025 Accepted: 27/05/2025 Published: 27/11/2025

      Abstract
      Mechanical failures have caused significant damage and financial losses. However, compared to the vast number of successful designs for mechanical components and structures, [...]

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    • Coloración en gráficas de mapas en la tierra y mapas en la luna.

      A. Calderón Juárez
      Ana Teresa Calderón Juárez's personal collection (2025). 1

      • 2
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    • Fondazioni profonde di dighe, ture e diaframmi

      T. Ognibeni
      L’Energia Elettrica (1950). L’Energia Elettrica

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 6

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 7

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 8

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 9

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 10

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 11

      • 0
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    • A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 12

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    • DE LA RESPONSABILITÉ DES ENTREPRENEURS ET DES INGÉNIEURS-ARCHITECTES EN MATIÈRE DE CONSTRUCTION D'USINES, DE BARRAGES ET D'INSTALLATIONS

      . BOUGAULT
      La Houille Blanche (1950). Revue Internationale de l’Eau

      • 2
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    • Les nouveaux groupes de la centrale prototype de Castet

      C. Guimbal
      La Houille Blanche (1954). Reveu Internationale de l’eau

      • 2
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    • Technical Due Diligence Report – Anderson Dam & Hydropower Plant (California, USA)

      A. Calvi
      Dam Engineering & Hydroelectric Energy (2025). 2

      Abstract

      This study represents the technical due diligence of the hydroelectric plant consisting of the Anderson Dam (Leroy Anderson) and its power station, located in California, USA. This technical contribution is structured analyzing the hydrogeological aspects of the dam site's geographical context, including its structural behavior in the event of significant seismic events, and then going more in detail on the energy assessments that take into account the temporal distribution of rainfall and flow rates, as well as the efficiency of the hydraulic machinery installed.

      Abstract
      This study represents the technical due diligence of the hydroelectric plant consisting of the Anderson Dam (Leroy Anderson) and its power station, located in California, [...]

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    • Ductile-Fragile Transition: A Novel Comparison Between Fracture Mechanics of Materials and Framed Structures_Conference Presentation

      A. Calvi
      Artiste Conference 2025 (2025). Politecnico di Torino

      • 2
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    • A Multi-Scale Approach to Progressive Collapse: Linking Material Fracture Mechanics and Hierarchical RC Frames Behavior

      A. Calvi
      Alessandro Calvi's personal collection (2025). 14

      • 0
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    • Analysis of flow past a porous net-like screen through high-fidelity simulations

      W. Rees*
      Marine 2025.

      • 2
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    • Numerical Simulations of Wave Breaking Flows with Air Entrainment

      D. Wan*
      Marine 2025.

      • 2
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    • Composite materials for wind assisted ship propulsion systems

      M. Sit*, O. Thomsen, T. Laux
      Marine 2025.

      • 2
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    • Experimental and numerical study of dynamic loads on marine propellers operating under near-surface and partially submerged conditions.

      A. Kozłowska*, E. Ciba, A. Bera
      Marine 2025.

      • 2
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    • Passive pitch control for improving efficiency in tidal turbines

      P. Sunil, K. Frankowski, M. O'Sullivan, A. Young, E. Mc. Carthy, R. Broglia, I. Viola
      Marine 2025.

      • 3
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    • Using CFD and VR to Model and Visualize Fire in the Ship Engine Room

      G. Vukelic*, D. Glujic, D. Bernecic, G. Vizentin
      Marine 2025.

      • 2
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    • Fluid-Structure Interaction in Maritime Applications: Towards Partitioned Coupling Simulation of Wind-Sail Interaction

      C. Kühne*, L. Radtke, A. Düster
      Marine 2025.

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    • Effect of ship pitching on frigate flight deck aerodynamics by CFD analysis and experimental validation

      J. Matias Garcia*, R. Bardera, E. Barroso Barderas
      Marine 2025.

      • 4
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    • A Fundamental Study of Wind Loads on Vessel by CFD

      J. Seok*, D. Youn, S. Hwang
      Marine 2025.

      • 3
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    • Multi-resolution WENO semi-Lagrangian High-order Finite Element Method for a Nonhydrostatic Ocean Model

      J. Gomes de Oliveira*, P. Galán del Sastre, C. Shu
      Marine 2025.

      • 2
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    • Effects of Offshore Wind Energy on Ocean Circulation and Mixing

      M. Guzman Hernandez, J. Perez Medina, U. Ciri, K. Yousefi, S. Leonardi
      Marine 2025.

      • 3
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    • Simple and advanced numerical methods for determining the hydrodynamic properties of a TLP-type floating wind turbine

      P. Dymarski*, E. Ciba, M. Grygorowicz
      Marine 2025.

      • 3
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    • Numerical Analysis of Fluid-Structure Interaction (FSI) for Semi-Submersible Floating Offshore Wind Turbines (FOWT)

      S. Han, S. Dai, H. Yun, S. Song, M. Terziev*
      Marine 2025.

      • 3
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    • Toward Meshless Turbulent Flow Simulation: LES-Integrated Vortex Particle Method

      F. Martins*, A. van Zuijlen, C. Ferreira
      Marine 2025.

      • 3
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    • Impacts of Offshore Wind Farm Wakes on Regional Ocean Circulation

      J. Amell*, P. Médard, U. Ciri
      Marine 2025.

      • 5
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    • Wave-Age Influence on Aerodynamic Loads and Wake Recovery in Offshore Wind Turbines

      F. De Girolamo*, A. Castorrini, G. Delibra, L. Tieghi, V. Barnabe
      Marine 2025.

      • 4
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    • Design Digital Twinning for Hydro-Structural Optimization: Addressing High-Dimensional Design Spaces with Parametric Model Embedding

      R. Pellegrini*, M. Diez, F. Stern
      Marine 2025.

      • 5
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    • Ship Motion Digital Twinning via Dynamic Mode Decomposition Approaches

      G. Palma*, A. Serani, S. Aram, D. Wundrow, D. Drazen, M. Diez
      Marine 2025.

      • 2
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    • Integrating Environmental Forecasts and Ship Motion Analysis for Predictive Modelling of Motion Sickness in Maritime Operations

      M. Melim*, A. Bekker, N. Taylor
      Marine 2025.

      • 5
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    • Non-Intrusive Model Order Reduction: Applications in Naval Optimization

      G. Rozza*
      Marine 2025.

      • 7
      •  read

    • Holistic Digital Twin of the Ocean

      E. Campana, G. Coro, P. Bove*
      Marine 2025.

      • 3
      •  read

    • A Fully Coupled and Efficient Numerical Model for Slender Marine Vegetation in Waves

      Z. Wei*, T. Kristiansen, D. Kristiansen, Y. Shao
      Marine 2025.

      • 5
      •  read

    • Numerical Modeling of Structural Response of IMTA System to Environmental Loading of the Gulf of Mexico

      M. Patwary*, L. Zhu, R. Sunny, M. Chambers, D. Fredriksson, I. Tsukrov
      Marine 2025.

      • 36
      •  read

    • A Fluid-Structure Interaction (FSI) Numerical Model for Aquaculture-Related Structures in Offshore Environment

      S. Mi*, E. Avital
      Marine 2025.

      • 3
      •  read

    • Finite volume modelling of moored floating structured with fluid-mooring interaction

      A. Taran*, S. Bali, Z. Tukovic, V. Pakrashi, P. Cardiff
      Marine 2025.

      • 14
      •  read

    • Characterization and Modeling of an Innovative Textile Mooring Chain

      A. NOUAL*, G. Bles, V. Popineau, P. Davies, Y. Marco
      Marine 2025.

      • 14
      •  read

    • Numerical study of the fluid-structure interaction in submerged aquatic canopy using immersed boundary-lattice Boltzmann method

      Z. Xu*
      Marine 2025.

      • 3
      •  read

    • Drag Loads to Aquaculture Nets and the Corresponding Flow Velocity Reduction behind

      A. Berstad*
      Marine 2025.

      • 3
      •  read

    • FEM modelling of the mechanical phenomena at the mesoscopic scale within the cross section of a synthetic subrope for the mooring lines of floating offshore wind turbines.

      L. Civier*, T. Armand, J. Laurent, P. Davies, Y. Marco, G. Bles
      Marine 2025.

      • 4
      •  read

    • Comparison study of elements used in FEA of aquaculture nets

      M. Palaversa*, Z. Yu, S. Saevik
      Marine 2025.

      • 9
      •  read

    • Sampling the Darcy friction factor using Halton, Hammersley, Sobol, and Korobov sequences: Data points from the Colebrook relation

      D. Brkić, M. Milošević
      Dejan Brkić's personal collection (2025). 8

      Abstract

      When the Colebrook equation is used in its original implicit form, the unknown pipe flow friction factor can only be obtained through time-consuming and computationally demanding iterative calculations. The empirical Colebrook equation relates the unknown Darcy friction factor to a known Reynolds number and a known relative roughness of a pipe’s inner surface. It is widely used in engineering. To simplify computations, a variety of explicit approximations have been developed, the accuracy of which must be carefully evaluated. For this purpose, this Data Descriptor gives a sufficient number of pipe flow friction factor values that are computed using a highly accurate iterative algorithm to solve the implicit Colebrook equation. These values serve as reference data, spanning the range relevant to engineering applications, and provide benchmarks for evaluating the accuracy of the approximations. The sampling points within the datasets are distributed in a way that minimizes gaps in the data. In this study, a Python Version v1 script was used to generate quasi-random samples, including Halton, Hammersley, Sobol, and deterministic lattice-based Korobov samples, which produce smaller gaps than purely random samples generated for comparison purposes. Using these sequences, a total of 220= 1,048,576 data points were generated, and the corresponding datasets are provided in in the zenodo repository. When a smaller subset of points is needed, the required number of initial points from these sequences can be used directly. Dataset:https://doi.org/10.5281/zenodo.17280142

      Abstract
      When the Colebrook equation is used in its original implicit form, the unknown pipe flow friction factor can only be obtained through time-consuming and computationally demanding [...]

      • 2
      •  read

    • Modelling Wave-Structure Interaction of Submerged Flexible Plates

      H. Saddal, D. Komaroff, B. Thiria, R. Godoy-Diana, C. Bose*
      Marine 2025.

      • 9
      •  read

    • Numerical Simulation of Wave-Body Interactions with the evolution of Focused Waves Using HOS-CFD coupling Method

      P. Bao*, Y. Zhuang, D. Wan
      Marine 2025.

      • 9
      •  read

    • Control of floating flexible structures interacting with waves

      K. El Sayed*, O. Colomés, S. Agarwal, E. Lourens
      Marine 2025.

      • 12
      •  read

    • Passively pitching blades for wave loading mitigation of horizontal axis tidal turbines

      A. Arredondo-Galeana*, G. Scarlett, A. Young, I. Viola
      Marine 2025.

      • 4
      •  read

    • Numerical assessment of hydroelastic effects in water impact experiments with pseudo-rigid impactors

      A. Tassin*, N. Jacques
      Marine 2025.

      • 5
      •  read

    • Bernstein-Bézier Finite Elements With Perfectly Matched Layer for the Prediction of Wave Agitation in Harbors and Coastal Regions

      S. El Marri*, A. El Kacimi, N. El Moçayd, M. Seaid
      Marine 2025.

      • 20
      •  read

    • Simulation of Ship Hydrodynamics using a Direct Forcing Immersed Boundary Method in REEF3D

      A. Soydan*, W. Wang, H. Bihs
      Marine 2025.

      • 9
      •  read

    • Numerical Analysis of the Interaction of Monochromatic Waves With a Semi-Enclosed, Rectangular, Surface-Piercing Cavity

      C. Wakefield*, C. Cummins
      Marine 2025.

      • 3
      •  read

    • Numerical Modelling of Pore Pressure Distribution inside a Rubble Mound Breakwater using OpenFOAM®

      A. Imbò*, G. Scaravaglione, A. Saponieri, A. Lauria, G. Barajas
      Marine 2025.

      • 4
      •  read

    • The Effect of Sail Geometries on the Development of Horseshoe Vortices

      R. Shih*, J. Chen
      Marine 2025.

      • 4
      •  read

    • Comparison of different rotor sails configuration into large ore carriers navigation performance

      F. Ruggeri*, C. Sampaio, M. Pinto, P. Pritzelwitz, H. Lindao
      Marine 2025.

      • 4
      •  read

    • Comparative Analysis of CFD Modelling Approaches on a Two-Element Wingsail Near Stall

      A. Hillenbrand*, S. Saha, R. Örlü, J. Kuttenkeuler, P. Schlatter
      Marine 2025.

      • 3
      •  read

    • CFD Settings and Verification and Validation for the Performance Prediction of a Generic Standalone Flettner Rotor and Rigid Wing.

      C. Wielgosz*, L. Marimon Giovannetti, S. Wallin, J. Kuttenkeuler
      Marine 2025.

      • 5
      •  read

    • Challenges in performance prediction of ships equipped with wind propulsion

      M. Kjellberg*, D. Li, S. Werner
      Marine 2025.

      • 2
      •  read

    • Sail-Induced Resistance Comparison for the KVLCC2 and the KCS

      F. Bickert*, L. Gentaz, S. Delvoye, A. Babarit
      Marine 2025.

      • 4
      •  read

    • High-fidelity Simulation of the Turbulence Flow Around a Rotor Sail

      K. Lee*, S. Kim, H. Lee
      Marine 2025.

      • 2
      •  read

    • Efficient Prediction of Aerodynamic Interaction Effects Including Optimised Controls for Wind Propulsion

      J. Schot*, M. Garenaux
      Marine 2025.

      • 3
      •  read

    • Aerodynamic Analysis of Full- and Model-Scale Wingsails with Cambered Profiles

      H. Zhu*, J. Ringsberg, B. Ramne, H. Yao
      Marine 2025.

      • 5
      •  read

    • Investigation of Leeway Angle on Wake Fraction for a Twin-Screw Wind-Assisted Ship Using CFD and PIV Measurements

      Y. Zhang, S. Hosseinzadeh, D. Sin, M. Kurt, J. Banks*, D. Hudson
      Marine 2025.

      • 3
      •  read

    • A CFD-based Performance Prediction of Roller Wing Sail for Wind-Assisted Ship Propulsion

      V. Ernesto, I. Lee*
      Marine 2025.

      • 8
      •  read

    • Aerodynamic testing of rotor sails: A scaling challenge

      A. Rius-Vidales*, S. Pieris, A. Rijkens, J. Kurelek, M. Hultmark
      Marine 2025.

      • 2
      •  read

    • A Basic Study on Estimating the Effects of Wind Propulsion Systems

      Y. Sato*, S. Takeda, K. Matsuura, Y. Okada, T. Matsuka, S. Hamada
      Marine 2025.

      • 3
      •  read

    • Numerical Investigation of the Aerodynamic Performance of Rigid Wing Sails with Eppler 61 airfoils.

      R. Bardera, Á. Rodriguez-Sevillano, J. Matías, E. Barroso, J. Fernández
      Marine 2025.

      • 2
      •  read

    • Optimizing Wing Sails with Actuator Line Simulations and an Effective Angle of Attack Controller

      J. Kramer*
      Marine 2025.

      • 4
      •  read

    • A Study on Improving Rotor Sail Performance through Flow Control of the Upper Deck Structure of a Ship

      J. Kim*, W. Oh, S. Choi
      Marine 2025.

      • 3
      •  read

    • Cavitating flow past a circular cylinder in the Drag Crisis Regime

      V. Massip*, B. Lescanne, P. Bot
      Marine 2025.

      • 3
      •  read

    • Investigation of Validation Method for Twisted Hydrofoils in Cavitating Flow

      S. ÖKSÜZ*, O. USTA, F. Çelik
      Marine 2025.

      • 57
      •  read

    • Control of tip vortices for a hydrofoil through grooved tip treatment

      J. Tan*, S. Otomo, I. Viola, Y. Liu
      Marine 2025.

      • 148
      •  read

    • Full-Scale Measurements of a Propeller Tip Vortex Cavity and its Broadband Noise

      F. Berge*, R. Schouten, J. Carpentier, J. Bosschers
      Marine 2025.

      • 6
      •  read

    • CFD Prediction of Tip Vortex Cavitation Inception on a Hydrofoil

      K. Shin*, M. Kim, J. Hong, B. Ahn, J. Nielsen
      Marine 2025.

      • 2
      •  read

    • Accelerating Level-3 Fitness-For-Service Assessments for Pipeline Metal Loss Using Machine Learning

      B. Bayik, H. Ragheb*, G. Varelis
      Marine 2025.

      • 3
      •  read

    • Structural Design of Float-over Type Fixed Offshore Platforms – A Disruptive Method Using Knowledge-based and AI-aided Technique

      P. Chatterjee*
      Marine 2025.

      • 3
      •  read
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