Cited by Effect of Steel Slag on Compaction Times of Asphalt Mixtures Based on Prediction of Cooling Curves

Modeling and simulation of multiphase flow in highly fractured porous media with a data-driven multiscale approach DOI

Juan M. Giménez, Sergio R. Idelsohn, Eugenio Oñate

и другие.

Computational Mechanics, Год журнала: 2025, Номер unknown

Опубликована: Фев. 10, 2025

Abstract The pseudo-direct numerical simulation (P-DNS) method is a recently developed multiscale strategy designed for high-fidelity computational of complex flow physics. This physics-based data-driven approach involves numerically solving both the fine and global scales. former precomputed into representative volume elements (RVEs), whose homogenized responses serve to train machine learning-based surrogate models. upscaling model feeds scale, which then effectively solved in coarse meshes. In this work, P-DNS applied study multiphase highly fractured porous media. aim overcoming current limitations techniques oil reservoirs due geological heterogeneities. A novel characterization geometry fracture networks proposed. local intrinsic permeability tensor via RVE simulations accounting embedded fractures, thus allowing efficient computation reservoir-scale transport. two-dimensional single-phase two-phase problems on different reservoir scenarios. accuracy predictions assessed relative detailed with fractures very For cases considered, it shown that homogenization technique capable compute accurate rates pressure fields coarser meshes than approach, while achieving speedups solution time about factor 500.

Язык: Английский

Процитировано

Effect of steel slag on compaction times of asphalt mixtures based on prediction of cooling curves DOI

Dario Benavides,

Rafael L. Rangel,

Alessandro Franci

и другие.

Construction and Building Materials, Год журнала: 2024, Номер 421, С. 135550 - 135550

Опубликована: Март 1, 2024

This study investigates the thermal properties of asphalt mixtures incorporating steel slag as a potential substitute natural aggregates in hot mix asphalt, precisely BBTM11B type. The were analysed using QuickLine equipment following ASTM D5930 standard. Experimental tests conducted to measure cooling curves different at compaction levels, while numerical simulations finite element method (FEM) employed predict curves. experimental observations indicate that substitution levels increase, samples exhibit lower conductivity and specific heat. It was also shown simulation successfully estimated temperature evolution mixtures, enabling prediction their behaviour. suggests containing slag, although they need longer time, wider window, allowing for better improved mechanical performance compared without this material.

Язык: Английский

Процитировано

Efficient discrete element modeling of heat generation and transfer in granular flows: Validation and application DOI

Rafael L. Rangel,

Alejandro Cornejo, Eugenio Oñate

и другие.

Powder Technology, Год журнала: 2024, Номер 439, С. 119719 - 119719

Опубликована: Апрель 1, 2024

This work presents an efficient Discrete Element Method (DEM) framework for the simulation of thermal behavior granular media. The main focus is on long-lasting flows, involving heat transfer and generation due to mechanical energy dissipation. proposed approach uses strategies reduce computational cost analyses and, therefore, enable its application problems practical relevance. For instance, contact area adjusted compensate artificial material softening that typically considered in DEM increase time step size. After extended validation, methodology applied different setups experimental rotating drum. numerical simulations presented good agreement with results allowed a detailed analysis mechanisms patterns generation, which could not be extrapolated from campaign.

Язык: Английский

Процитировано

Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects DOI

Rafael L. Rangel,

Alessandro Franci, Eugenio Oñate

и другие.

Computers and Geotechnics, Год журнала: 2024, Номер 176, С. 106789 - 106789

Опубликована: Сен. 26, 2024

Язык: Английский

Процитировано

A multiscale Pseudo-DNS approach for solving turbulent boundary-layer problems DOI

Juan M. Giménez,

Francisco M. Sívori,

Axel E. Larreteguy

и другие.

Computer Methods in Applied Mechanics and Engineering, Год журнала: 2025, Номер 437, С. 117804 - 117804

Опубликована: Фев. 8, 2025

Язык: Английский

Процитировано

Fretting wear life prediction for aircraft cable under random vibration based on degradation testing and surrogate modeling approach DOI

Song Fu,

Gong Jian,

Shuanjin Wang

и другие.

Industrial Lubrication and Tribology, Год журнала: 2025, Номер unknown

Опубликована: Май 7, 2025

Purpose Extreme vibration environmental poses significant challenges to the fatigue life of aircraft cables. This study aims propose a novel method investigate fretting wear cable under random vibration. Design/methodology/approach In presented method, degradation data and machine learning (ML) are used capture complex, non-linear relationships between rate (Δ s /Δ t ) initial worn thickness. Three ML algorithms – k-nearest neighbor (KNN), support vector regression (SVR) forest (RFR) compared for their performance in surrogate modeling. A physical boundary condition is incorporated expand sample set, its influence on model training systematically evaluated. The proposed methodology uses time-efficient alternative lifetime assessment by integrating modeling with Monte Carlo simulation. Findings SVR demonstrates greater potential predicting KNN RF. model, combined algorithm, predicts 14,700 h conditions. Originality/value open literature, it rare find insulation, particularly extreme environmental. significantly enhances predictive maintenance strategies improves reliability Peer review peer history this article available at: https://publons.com/publon/10.1108/ILT-02-2025-0070/

Язык: Английский

Процитировано

Artificial intelligence for computational granular media DOI