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James M. W. Brownjohn

James M. W. Brownjohn

D-Index & Metrics

Engineering and Technology

D-Index
58
Citations
13276
World Ranking
2475
National Ranking
170

Overview

James M. W. Brownjohn is affiliated with the University of Exeter in the United Kingdom and specializes in research across several engineering disciplines, particularly related to civil and structural engineering. Their recent research contributions focus on structural health monitoring (SHM), vibration analysis, and infrastructure maintenance.

Their published work includes several papers exploring techniques and approaches in this domain. Notable recent publications are:

  • Three decades of statistical pattern recognition paradigm for SHM of bridges, 2022, Structural Health Monitoring
  • Understanding and managing identification uncertainty of close modes in operational modal analysis, 2020, Mechanical Systems and Signal Processing
  • An accurate and distraction-free vision-based structural displacement measurement method integrating Siamese network based tracker and correlation-based template matching, 2021, Measurement
  • Identifying damage on a bridge using rotation-based Bridge Weigh-In-Motion, 2020, Journal of Civil Structural Health Monitoring
  • Bridge damage detection using precise vision-based displacement influence lines and weigh-in-motion devices: Experimental validation, 2023, Engineering Structures

Their frequent co-authors include experts with whom they have collaborated extensively. These co-authors are:

  • Siu-Kui Au
  • Alison Raby
  • Binbin Li
  • David Hester
  • Ki Young Koo

James M. W. Brownjohn has published repeatedly in several scientific venues. The frequent publication venues include:

  • Harvard Dataverse
  • Journal of Civil Structural Health Monitoring
  • Mechanical Systems and Signal Processing
  • Engineering Structures
  • Computer-Aided Civil and Infrastructure Engineering

Their research areas span multiple subfields, primarily grounded in civil and structural engineering. The main subfields of study are:

  • Civil and Structural Engineering
  • Electrical and Electronic Engineering
  • Computational Mechanics
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition

The core topics of their academic work focus on several key subjects, including:

  • Structural Health Monitoring Techniques
  • Structural Engineering and Vibration Analysis
  • Infrastructure Maintenance and Monitoring
  • Concrete Corrosion and Durability
  • Balance, Gait, and Falls Prevention
  • Probabilistic and Robust Engineering Design
  • Wind and Air Flow Studies

Best Publications

  • Structural health monitoring of civil infrastructure

    J.M.W Brownjohn

  • Experimental identification and analytical modelling of human walking forces: Literature review

    V. Racic;A. Pavic;J.M.W. Brownjohn

  • Long-term monitoring and data analysis of the Tamar Bridge

    E.J. Cross;K.Y. Koo;J.M.W. Brownjohn;K. Worden

  • Ambient vibration re-testing and operational modal analysis of the Humber Bridge

    J.M.W. Brownjohn;Filipe Magalhaes;Elsa Caetano;Alvaro Cunha

  • Civil structure condition assessment by FE model updating: methodology and case studies

    J. M. W. Brownjohn;Pin-Qi Xia;Hong Hao;Yong Xia

  • Vibration-based monitoring of civil infrastructure: challenges and successes

    James M.W. Brownjohn;Alessandro de Stefano;You Lin Xu;Helmut Wenzel

  • DYNAMIC ASSESSMENT OF CURVED CABLE-STAYED BRIDGE BY MODEL UPDATING

    Jmw Brownjohn;P-Q Xia

  • Assessment of highway bridge upgrading by dynamic testing and finite-element model updating

    James Mark William Brownjohn;Pilate Moyo;Piotr Omenzetter;Yong Lu

  • Development of fiber Bragg grating sensors for monitoring civil infrastructure

    P. Moyo;J.M.W. Brownjohn;R. Suresh;S.C. Tjin

  • Review of machine-vision based methodologies for displacement measurement in civil structures

    Yan Xu;James M. W. Brownjohn

  • Ambient vibration studies for system identification of tall buildings

    J. M. W. Brownjohn

  • ARMA modelled time-series classification for structural health monitoring of civil infrastructure

    E. Peter Carden;James M.W. Brownjohn

  • A spectral density approach for modelling continuous vertical forces on pedestrian structures due to walking

    James Brownjohn;Aleksandar Pavic;P Omenzetter

  • Application of time series analysis for bridge monitoring

    Piotr Omenzetter;James Mark William Brownjohn

  • Three decades of statistical pattern recognition paradigm for SHM of bridges

    Unknown

  • Structural health monitoring of the Tamar suspension bridge

    Ki-Young Koo;James Brownjohn;David List;R Cole

  • A non‐contact vision‐based system for multipoint displacement monitoring in a cable‐stayed footbridge

    Yan Xu;James Brownjohn;Dali Kong

  • Damage identification of structures with uncertain frequency and mode shape data

    Yong Xia;Hong Hao;James M. W. Brownjohn;Pin-Qi Xia

  • Temperature analysis of a long-span suspension bridge based on field monitoring and numerical simulation

    Linren Zhou;Yong Xia;James M. W. Brownjohn;Ki Young Koo

  • Measurements of static and dynamic displacement from visual monitoring of the Humber Bridge

    G.A. Stephen;J.M.W. Brownjohn;C.A. Taylor

  • Ambient vibration survey of the fatih sultan mehmet (second Bosporus) suspension bridge

    J. M. W. Brownjohn;A. A. Dumanoglu;R. T. Severn

Frequent Co-Authors

Aleksandar Pavic
Aleksandar Pavic University of Exeter
Siu-Kui Au
Siu-Kui Au Nanyang Technological University
Filipe Magalhães
Filipe Magalhães University of Porto
Álvaro Cunha
Álvaro Cunha University of Porto
Swee Chuan Tjin
Swee Chuan Tjin Nanyang Technological University
Eugene J. O'Brien
Eugene J. O'Brien University College Dublin
Hong Hao
Hong Hao Curtin University
Keith Worden
Keith Worden University of Sheffield
Elizabeth J. Cross
Elizabeth J. Cross University of Sheffield
Chris Rizos
Chris Rizos University of New South Wales

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