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Engineering and Technology

D-Index
43
Citations
4831
World Ranking
6344
National Ranking
127

Overview

Rolf Dollevoet is affiliated with Delft University of Technology in the Netherlands and specializes in the field of engineering. Their research primarily covers mechanical engineering, mechanics of materials, and civil and structural engineering, with additional work in statistical and nonlinear physics and industrial and manufacturing engineering.

The main topics of Rolf Dollevoet's research include:

  • Railway Engineering and Dynamics
  • Mechanical stress and fatigue analysis
  • Model Reduction and Neural Networks
  • Adhesion, Friction, and Surface Interactions
  • Structural Health Monitoring Techniques
  • Railway Systems and Energy Efficiency
  • Geotechnical Engineering and Underground Structures

Their frequently published research appears in venues such as:

  • arXiv (Cornell University)
  • Mechanical Systems and Signal Processing
  • International Journal of Rail Transportation
  • Tribology International
  • IEEE Transactions on Industrial Informatics

Rolf Dollevoet has contributed to several recent papers including:

  • Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems, 2023, IEEE Transactions on Neural Networks and Learning Systems
  • Fast and robust identification of railway track stiffness from simple field measurement, 2020, Mechanical Systems and Signal Processing
  • Mechanism of short pitch rail corrugation: initial excitation and frequency selection for consistent initiation and growth, 2022, International Journal of Rail Transportation
  • Ground vibration induced by high speed trains on an embankment with pile-board foundation: Modelling and validation with in situ tests, 2022, Transportation Geotechnics
  • Artificial intelligence in railway infrastructure: current research, challenges, and future opportunities, 2023, Intelligent Transportation Infrastructure

The scientist has collaborated frequently with colleagues including Alfredo Núñez, Zili Li, Hongrui Wang, and Taniya Kapoor. These collaborations have been significant, with multiple coauthored publications across various research areas.

Best Publications

  • An investigation into the causes of squats—Correlation analysis and numerical modeling

    Zili Li;Xin Zhao;Coenraad Esveld;Rolf Dollevoet

  • Automatic detection of squats in railway infrastructure

    Maria Molodova;Zili Li;Alfredo Núñez;Rolf P. B. J. Dollevoet

  • Axle box acceleration: Measurement and simulation for detection of short track defects

    Marija Molodova;Zili Li;Rolf Dollevoet

  • Squat growth—Some observations and the validation of numerical predictions

    Zili Li;Rolf Dollevoet;Marija Molodova;Xin Zhao

  • A big data analysis approach for rail failure risk assessment

    Ali Jamshidi;Shahrzad Faghih-Roohi;Siamak Hajizadeh;Alfredo Núñez

  • Nationwide Railway Monitoring Using Satellite SAR Interferometry

    Ling Chang;Rolf P. B. J. Dollevoet;Ramon F. Hanssen

  • On the mechanism of squat formation on train rails – Part I: Origination

    Michaël Steenbergen;Rolf Dollevoet

  • Improvements in Axle Box Acceleration Measurements for the Detection of Light Squats in Railway Infrastructure

    Zili Li;Maria Molodova;Alfredo Nunez;Rolf Dollevoet

  • Differential wear and plastic deformation as causes of squat at track local stiffness change combined with other track short defects

    Zili Li;Xin Zhao;Rolf Dollevoet;Marija Molodova

  • Physics-informed neural networks for solving forward and inverse problems in complex beam systems

    Unknown

  • Health condition monitoring of insulated joints based on axle box acceleration measurements

    Maria Molodova;Maider Oregui;Alfredo Núñez;Zili Li

  • Laboratory simulation of martensite formation of white etching layer in rail steel

    Jun Wu;Jun Wu;Roumen H. Petrov;Roumen H. Petrov;Meysam Naeimi;Zili Li

  • An investigation into the modeling of railway fastening

    M. Oregui;Z. Li;R. Dollevoet

  • Thermomechanical analysis of the wheel-rail contact using a coupled modelling procedure

    Meysam Naeimi;Shaoguang Li;Zili Li;Jun Wu;Jun Wu

  • A decision support approach for condition-based maintenance of rails based on big data analysis

    Ali Jamshidi;Siamak Hajizadeh;Zhou Su;Meysam Naeimi

  • Monitoring bolt tightness of rail joints using axle box acceleration measurements

    M. Oregui;S. Li;A. Núñez;Z. Li

  • Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study

    Alfredo Nunez;Jurjen Hendriks;Zili Li;Bart De Schutter

  • Obtaining railpad properties via dynamic mechanical analysis

    M. Oregui;A. de Man;M.F. Woldekidan;Z. Li

  • New insights into the short pitch corrugation development enigma based on 3D-FE dynamic vehicle-track coupled modelling in frictional rolling contact

    Shaoguang Li;Zili Li;Alfredo Núñez;Rolf Dollevoet

  • Identification of characteristic frequencies of damaged railway tracks using field hammer test measurements

    M. Oregui;Z. Li;R. Dollevoet

  • Numerical and experimental study of wheel-rail impact vibration and noise generated at an insulated rail joint

    Zhen Yang;Zhen Yang;Anthonie Boogaard;Rong Chen;Rolf Dollevoet

  • Evaluating Degradation at Railway Crossings Using Axle Box Acceleration Measurements

    Zilong Wei;Alfredo Núñez;Zili Li;Rolf P. B. J. Dollevoet

  • “Brown etching layer”: A possible new insight into the crack initiation of rolling contact fatigue in rail steels?

    Shaoguang Li;Jun Wu;Jun Wu;Roumen H. Petrov;Roumen H. Petrov;Zili Li

  • Validation of a finite element model for axle box acceleration at squats in the high frequency range

    Maria Molodova;Zili Li;Alfredo Núñez;Rolf Dollevoet

Frequent Co-Authors

Zili Li
Zili Li Delft University of Technology
Jilt Sietsma
Jilt Sietsma Delft University of Technology
Roumen Petrov
Roumen Petrov Ghent University
Zhigang Liu
Zhigang Liu Southwest Jiaotong University
Ramon F. Hanssen
Ramon F. Hanssen Delft University of Technology
Valeri Markine
Valeri Markine Delft University of Technology
Bart De Schutter
Bart De Schutter Delft University of Technology
Robert Babuska
Robert Babuska Delft University of Technology
Simone Baldi
Simone Baldi Southeast University
David M. J. Tax
David M. J. Tax Delft University of Technology

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