Effect of Steel Slag on Compaction Times of Asphalt Mixtures Based on Prediction of Cooling Curves DOI
Dario Benavides, Alessandro Franci, Diego Aponte

et al.

Published: Jan. 1, 2023

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.

Language: Английский

Modeling and simulation of multiphase flow in highly fractured porous media with a data-driven multiscale approach DOI Creative Commons
Juan M. Giménez, Sergio R. Idelsohn, Eugenio Oñate

et al.

Computational Mechanics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 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.

Language: Английский

Citations

1
A multiscale Pseudo-DNS approach for solving turbulent boundary-layer problems DOI
Juan M. Giménez,

Francisco M. Sívori,

Axel E. Larreteguy

et al.

Computer Methods in Applied Mechanics and Engineering, Journal Year: 2025, Volume and Issue: 437, P. 117804 - 117804

Published: Feb. 8, 2025

Language: Английский

Citations

0
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

et al.

Industrial Lubrication and Tribology, Journal Year: 2025, Volume and Issue: unknown

Published: May 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/

Language: Английский

Citations

0
Artificial intelligence for computational granular media DOI
Tongming Qu, Jidong Zhao, Y.T. Feng

et al.

Computers and Geotechnics, Journal Year: 2025, Volume and Issue: 185, P. 107310 - 107310

Published: May 7, 2025

Citations

0
Effect of steel slag on compaction times of asphalt mixtures based on prediction of cooling curves DOI Creative Commons
Dario Benavides,

Rafael L. Rangel,

Alessandro Franci

et al.

Construction and Building Materials, Journal Year: 2024, Volume and Issue: 421, P. 135550 - 135550

Published: March 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.

Language: Английский

Citations

3
Efficient discrete element modeling of heat generation and transfer in granular flows: Validation and application DOI Creative Commons

Rafael L. Rangel,

Alejandro Cornejo, Eugenio Oñate

et al.

Powder Technology, Journal Year: 2024, Volume and Issue: 439, P. 119719 - 119719

Published: April 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.

Language: Английский

Citations

3
Multiscale data-driven modeling of the thermomechanical behavior of granular media with thermal expansion effects DOI Creative Commons

Rafael L. Rangel,

Alessandro Franci, Eugenio Oñate

et al.

Computers and Geotechnics, Journal Year: 2024, Volume and Issue: 176, P. 106789 - 106789

Published: Sept. 26, 2024

Language: Английский

Citations

2
Enhancing mechanism of mechanical properties of lightweight and high-strength concrete prepared with autoclaved silicate lightweight aggregate DOI
Cong Tian, Zhao Liu, Xingyang He

et al.

Journal of Building Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 111102 - 111102

Published: Oct. 1, 2024

Language: Английский

Citations

0
DEMLab: A Discrete Element Method development environment DOI

Rafael L. Rangel

Software Impacts, Journal Year: 2024, Volume and Issue: 21, P. 100670 - 100670

Published: June 6, 2024

Citations

0
Effect of Steel Slag on Compaction Times of Asphalt Mixtures Based on Prediction of Cooling Curves DOI
Dario Benavides, Alessandro Franci, Diego Aponte

et al.

Published: Jan. 1, 2023

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.

Language: Английский

Citations

0