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G. De Roeck

G. De Roeck

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Mechanical and Aerospace Engineering
Belgium
2026

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
79
Citations
23957
World Ranking
223
National Ranking
2

Research.com Recognitions

  • 2026 - Research.com Mechanical and Aerospace Engineering in Belgium Leader Award
  • 2025 - Research.com Mechanical and Aerospace Engineering in Belgium Leader Award

Overview

G. De Roeck is affiliated with KU Leuven in Belgium and has a research focus concentrated predominantly in engineering, with significant attention to civil and structural engineering. Their work encompasses a broad range of topics related to structural health monitoring, infrastructure maintenance, and structural vibration analysis.

In terms of subject expertise, the main fields of study for this scientist include:

  • Engineering

Their subfields of study further narrow into:

  • Civil and Structural Engineering
  • Mechanical Engineering
  • Mechanics of Materials
  • Electrical and Electronic Engineering
  • Artificial Intelligence

The specialist topics addressed in their research cover:

  • Structural Health Monitoring Techniques
  • Infrastructure Maintenance and Monitoring
  • Structural Engineering and Vibration Analysis
  • Advanced Fiber Optic Sensors
  • Ultrasonics and Acoustic Wave Propagation
  • Concrete Corrosion and Durability
  • Railway Engineering and Dynamics

Recent publications illustrate an ongoing engagement with hybrid deep learning methods and computational intelligence in damage detection of structural materials. Representative papers include:

  • Data-Driven Structural Health Monitoring Using Feature Fusion and Hybrid Deep Learning, 2020, IEEE Transactions on Automation Science and Engineering
  • Efficient Artificial Neural Networks Based on a Hybrid Metaheuristic Optimization Algorithm for Damage Detection in Laminated Composite Structures, 2020, Composite Structures
  • A Hybrid Computational Intelligence Approach for Structural Damage Detection Using Marine Predator Algorithm and Feedforward Neural Networks, 2021, Computers & Structures
  • An Efficient Stochastic-Based Coupled Model for Damage Identification in Plate Structures, 2021, Engineering Failure Analysis
  • A Novel Machine-Learning Based on the Global Search Techniques Using Vectorized Data for Damage Detection in Structures, 2020, International Journal of Engineering Science

Frequent co-authors in their research network include:

  • Magd Abdel Wahab
  • Thanh Bui-Tien
  • H. Tran-Ngoc
  • Edwin Reynders
  • Samir Khatir

Key venues where G. De Roeck frequently publishes their research include:

  • Ghent University Academic Bibliography (Ghent University)
  • Journal of Sound and Vibration
  • Scientific Reports
  • Composite Structures
  • Engineering Structures

Best Publications

  • REFERENCE-BASED STOCHASTIC SUBSPACE IDENTIFICATION FOR OUTPUT-ONLY MODAL ANALYSIS

    Bart Peeters;Guido De Roeck

  • One-year monitoring of the Z24-Bridge : environmental effects versus damage events

    Bart Peeters;Guido De Roeck

  • Stochastic System Identification for Operational Modal Analysis: A Review

    Bart Peeters;Guido De Roeck

  • Damage detection in bridges using modal curvatures: application to a real damage scenario

    M.M. Abdel Wahab;G. De Roeck

  • Vibration based Structural Health Monitoring using output-only measurements under changing environment

    A. Deraemaeker;E. Reynders;G. De Roeck;J. Kullaa

  • An augmented Kalman filter for force identification in structural dynamics

    E. Lourens;E. Reynders;G. De Roeck;G. Degrande

  • Dealing with uncertainty in model updating for damage assessment: A review

    Ellen Simoen;Guido De Roeck;Geert Lombaert

  • Vibration-based damage detection in civil engineering: excitation sources and temperature effects

    Bart Peeters;Johan Maeck;Guido De Roeck

  • Fully automated (operational) modal analysis

    Edwin Reynders;Jeroen Houbrechts;Guido De Roeck

  • Uncertainty bounds on modal parameters obtained from stochastic subspace identification

    Edwin Reynders;Rik Pintelon;Guido De Roeck

  • Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis

    Edwin Reynders;Guido De Roeck

  • Monitoring historical masonry structures with operational modal analysis: Two case studies

    L.F. Ramos;L. Marques;P.B. Lourenço;G. De Roeck

  • Structural damage identification of the highway bridge Z24 by FE model updating

    A. Teughels;G. De Roeck

  • STRUCTURAL DAMAGE IDENTIFICATION USING MODAL DATA. I: SIMULATION VERIFICATION

    Wei-Xin Ren;Guido De Roeck

  • Damage assessment by FE model updating using damage functions

    Anne Teughels;Johan Maeck;Guido De Roeck

  • Joint input-response estimation for structural systems based on reduced-order models and vibration data from a limited number of sensors

    E. Lourens;C. Papadimitriou;C. Papadimitriou;S. Gillijns;E. Reynders

  • Reference based stochastic subspace identification in civil engineering

    B. Peeters;G. De Roeck

  • STRUCTURAL DAMAGE IDENTIFICATION USING MODAL DATA. II: TEST VERIFICATION

    Wei-Xin Ren;Guido De Roeck

  • Output-only structural health monitoring in changing environmental conditions by means of nonlinear system identification:

    Edwin Reynders;Gersom Wursten;Guido De Roeck

  • Uncertainty quantification in operational modal analysis with stochastic subspace identification: Validation and applications

    Edwin Reynders;Kristof Maes;Geert Lombaert;Guido De Roeck

  • Experimental and numerical analysis of a composite bridge for high-speed trains

    K. Liu;E. Reynders;G. De Roeck;G. Lombaert

Frequent Co-Authors

Bart Peeters
Bart Peeters Siemens (Belgium)
Magd Abdel Wahab
Magd Abdel Wahab Ghent University
Paulo B. Lourenço
Paulo B. Lourenço University of Minho
Álvaro Cunha
Álvaro Cunha University of Porto
Joris Degrieck
Joris Degrieck Ghent University
Costas Papadimitriou
Costas Papadimitriou University Of Thessaly
Bart Nicolai
Bart Nicolai KU Leuven

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