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Sandra Erkens

Delft University of Technology

H指数:40

被引数:4,124

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Using machine learning to compute tire-penetration related properties for enhanced rolling resistance prediction

使用机器学习计算与轮胎穿透相关的属性，以增强滚动阻力预测

Results in Engineering

IF7.9

2025-09-100

OAAI

Multistage physics informed neural network for solving coupled multiphysics problems in material degradation and fluid dynamics

多阶段物理信息神经网络求解材料退化与流体动力学耦合的多物理场问题

Engineering with Computers

IF4.9

2025-06-290

OAAI

A step toward a micromechanics-informed neural network for predicting asphalt mixture stiffness

基于细观力学信息的神经网络预测沥青混合料刚度的研究进展

Computer-Aided Civil and Infrastructure Engineering

IF9.1

2025-06-230

OAAI

Evaluation of Plant-Produced Epoxy-Modified Open-Graded Porous Asphalt Mixture

JOURNAL OF MATERIALS IN CIVIL ENGINEERING

IF3

2025-04-010

PRE

Finite element modelling of jointed plain concrete pavements under rolling forklift tire

ENGINEERING STRUCTURES

IF6.4

2025-04-010

OAAI

Exploring the roles of numerical simulations and machine learning in multiscale paving materials analysis: Applications, challenges, best practices

COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

IF7.3

2025-01-010

OAAI

Frequency range optimization for linear viscoelastic characterization of Burger's model

INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES

IF9.4

2025-01-011

OAAI

Performance of natural asphalt as a paving material: A laboratory and field evaluation

CASE STUDIES IN CONSTRUCTION MATERIALS

IF6.6

2024-12-010

OAAI

Predicting the diffusion coefficients of rejuvenators into bitumens using molecular dynamics, machine learning, and force field atom types

MATERIALS & DESIGN

IF7.9

2024-12-010

OAAI

Predicting the properties of bitumen using machine learning models trained with force field atom types and molecular dynamics simulations

MATERIALS & DESIGN

IF7.9

2024-10-010

OAAI

Gradient boosting decision trees to study laboratory and field performance in pavement management

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

IF9.1

2024-08-170

OAAI

Role of thermodynamic relaxation on effectiveness of recycling agents on properties of aged bitumen

IF7.5

2024-07-012

OAAI

Exploring the impact of humidity and water on bituminous binder aging: a multivariate analysis approach (TI CAB)

ROAD MATERIALS AND PAVEMENT DESIGN

IF3

2024-06-175

OA

A causal discovery approach to study key mixed traffic-related factors and age of highway affecting raveling

COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

IF9.1

2024-05-010

OAAI

Exploring the recovery capacity of recycling agents on atomic-scale energy properties of aged bitumen and their potential correlations with high-temperature rheological performance

MATERIALS & DESIGN

IF7.9

2024-05-010

OAAI

Introducing a force-matched united atom force field to explore larger spatiotemporal domains in molecular dynamics simulations of bitumen

MATERIALS & DESIGN

IF7.9

2024-04-016

OAAI

Do different chemical and rheological properties act as effective and critical indicators for efficiency evaluation of rejuvenated bitumen?

CONSTRUCTION AND BUILDING MATERIALS

IF8

2024-01-012

OAAI

A state-of-the-art review on rolling resistance of asphalt pavements and its environmental impact

CONSTRUCTION AND BUILDING MATERIALS

IF8

2024-01-015

OAAI

Water diffusion mechanisms in bitumen studied through molecular dynamics simulations

CONSTRUCTION AND BUILDING MATERIALS

IF8

2023-12-0113

OAAI

Unraveling the critical indicators for evaluating the high-temperature performance of rejuvenator-aged bitumen blends

探讨评价再生沥青混合料高温性能的关键指标

CASE STUDIES IN CONSTRUCTION MATERIALS

IF6.6

2023-12-015

OAAI