Dr Rob Barthorpe

MEng, CEng, PhD

Dr Rob Barthorpe

Lecturer

Department of Mechanical Engineering
RD11 Mappin Mining Block
Mappin Street
Sheffield
S1 3JD
UK

Telephone: +44 (0) 114 222 7762
Fax: +44 (0) 114 222 7890

Email: r.j.barthorpe@sheffield.ac.uk


Profile

Rob Barthorpe is a lecturer in the Dynamics Research Group in the Department of Mechanical Engineering. He has a first degree in Mechanical Engineering with a Modern Language from the University of Sheffield and was awarded his PhD from the same university in 2010. Rob's research is in the areas of structural health monitoring, uncertainty analysis and the verification and validation of numerical models.

Areas of Research

Dr Barthorpe's research covers a range of problems in the field of structural dynamics and beyond, with an underlying theme being the integration of numerical modelling and experimental data. Structural health monitoring is one of his major research themes. The broad aim of an SHM system is to be able to identify, at an early stage, occurrences of damage that may ultimately lead to the failure of the component or system being monitored.

Established approaches to this task typically fall into one of two categories: they are either based entirely on experimental data, or make use of a numerical model that is periodically updated as new data becomes available. Both of these approaches have distinct drawbacks: for the former, lack of appropriate experimental data is the major issue; for the latter, model-form uncertainty is among the challenges faced.

Part of Rob's work is in investigating ways to circumvent the lack of data problem through novel experimental and data-modelling techniques. A larger part is in developing new methods for integrating experimental and numerical methods, such that uncertainty in both the experimental measurements and the numerical model may be accounted for.

These methods are being developed for application to aerospace structures, wind turbines and civil infrastructure. However, the domain of applicability is much broader as the issues of handling uncertainty, solving inverse problems and overcoming test-model discrepancy are pervasive in many branches of science and engineering. Applications being investigated include the energy performance of buildings and the modelling of human bones.

Teaching

Dr Barthorpe currently teaches Signal Processing and Instrumentation (MEC409) to fourth year undergraduates and MSc students

Current Research Grants

ESPRC/Wellcome Trust fellowship, 2010-11, £44k (PI)

Journal articles

Chapters

Conference proceedings papers

  • Zhang T, Barthorpe R & Worden K (2017) A simplified Treed Gaussian Process approach to the modelling of bridge data for structural health monitoring. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, Vol. 1 (pp 553-562)
  • Gardner P, Barthorpe RJ & Lord C (2017) Bayesian calibration and bias correction for forward model-driven SHM. Structural Health Monitoring 2017: Real-Time Material State Awareness and Data-Driven Safety Assurance - Proceedings of the 11th International Workshop on Structural Health Monitoring, IWSHM 2017, Vol. 2 (pp 2019-2027)
  • Scott M, Tiboaca D, Barthorpe RJ, Wagg DJ & Worden K (2016) On the validation of nonlinear MDOF system models. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 2785-2796)
  • Gardner P, Barthorpe RJ & Lord C (2016) The development of a damage model for the use in machine learning driven SHM and comparison with conventional SHM Methods. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 3333-3346)
  • Tiboaca D, Green PL, Barthorpe RJ, Antoniadou I & Worden K (2016) Bayesian inference and RJMCMC in structural dynamics: On experimental data. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3 (pp 23-36)
  • Liu X, Cammarano A, Wagg DJ, Neild SA & Barthorpe RJ (2016) Nonlinear modal interaction analysis for a three degree-of-freedom system with cubic nonlinearities. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 1 (pp 123-131)
  • Worden K, Antoniadou I, Tiboaca OD, Manson G & Barthorpe RJ (2016) Linear and nonlinear system identification using evolutionary optimisation. Springer Proceedings in Mathematics and Statistics, Vol. 153 (pp 325-345)
  • Tiboaca D, Barthorpe RJ, Antoniadou I & Worden K (2015) Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. STRUCTURAL HEALTH MONITORING 2015: SYSTEM RELIABILITY FOR VERIFICATION AND IMPLEMENTATION, VOLS. 1 AND 2 (pp 2374-2382)
  • Worden K, Tiboaca OD, Antoniadou I & Barthorpe RJ (2015) System identification of an MDOF experimental structure with a view towards validation and verification. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 10 (pp 57-65)
  • Papatheou E, Barthorpe RJ & Worden K (2015) An experimental investigation of feature availability in nominally identical structures for population-based shm. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 7 (pp 185-191)
  • Tiboaca T, Green PL, Barthorpe RJ & Worden K (2014) Bayesian Parameter Estimation and Model Selection of a Nonlinear Dynamical System using Reversible Jump Markov Chain Monte Carlo.. Proceedings of ISMA 2014, International Conference on Noise and Vibration Engineering. View this article in WRRO
  • Tiboaca D, Green PL, Barthorpe RJ & Worden K (2014) Bayesian System Identification of Dynamical Systems using Reversible Jump Markov Chain Monte Carlo.. Proceedings of IMAC XXXII, Conference and Exposition on Structural Dynamics. View this article in WRRO
  • Fuentes R, Cross E, Halfpenny A, Worden K & Barthorpe RJ (2014) Aircraft parametric structural load monitoring using Gaussian process regression. 7th European Workshop on Structural Health Monitoring, EWSHM 2014 - 2nd European Conference of the Prognostics and Health Management (PHM) Society (pp 1933-1940)
  • Antoniadou I, Barthorpe RJ & Worden K (2014) Towards an ontology for verification and validation in structural dynamics. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 1171-1178)
  • Fuentes R, Cross EJ, Halfpenny A, Barthorpe RJ & Worden K (2014) Autoregressive Gaussian processes for structural damage detection. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 469-483)
  • Papatheou E, Rahman TAZ, Barthorpe RJ, Park J & Worden K (2014) An experimental investigation of feature complexity and diversity in nominally similar test structures. Proceedings of ISMA 2014 - International Conference on Noise and Vibration Engineering and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 4665-4674)
  • Fuentes R, Halfpenny A, Cross E, Barthorpe R & Worden K (2013) An approach to fault detection using a unified linear Gaussian framework. Structural Health Monitoring 2013: A Roadmap to Intelligent Structures - Proceedings of the 9th International Workshop on Structural Health Monitoring, IWSHM 2013, Vol. 2 (pp 2752-2759)
  • Dervilis N, Barthorpe RJ & Worden K (2013) Auto-Association and Novelty Detection: Truths and Myths?. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2 (pp 243-250)
  • Barthorpe R, Worden K, Sultan MTH, Eaton M, Pullin R & Holford K (2012) The effect of attenuation on the identification of impact damage in CFRP laminates. Proceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012, Vol. 1 (pp 698-706)
  • Dervilis N, Barthorpe R, Antoniadou I & Worden K (2012) Impact damage detection for composite material typical of wind turbine blades using novelty detection. Proceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012, Vol. 2 (pp 1287-1296)
  • Dervilis N, Choi M, Antoniadou I, Farinholt KM, Taylor SG, Barthorpe RJ, Park G, Worden K, Farrar CR & IOP (2012) Novelty detection applied to vibration data from a CX-100 wind turbine blade under fatigue loading.. MODERN PRACTICE IN STRESS AND VIBRATION ANALYSIS 2012 (MPSVA 2012), Vol. 382
  • Dervilis N, Barthorpe R, Staszewski WJ & Worden K (2012) Structural Health Monitoring of composite material typical of wind turbine blades by novelty detection on vibration response. Key Engineering Materials, Vol. 518 (pp 319-327)
  • Barthorpe RJ, Cross EJ, Papatheou E & Worden K (2012) Some recent developments in structural health monitoring. Key Engineering Materials, Vol. 518 (pp 298-318)
  • Dervilis N, Barthorpe R, Antoniadou I, Staszewski WJ & Worden K (2012) Damage detection in carbon composite material typical of wind turbine blades using auto-associative neural networks. Proceedings of SPIE - The International Society for Optical Engineering, Vol. 8348
  • Worden K & Barthorpe RJ (2012) Identification of hysteretic systems using NARX models, part I: Evolutionary identification. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 4 (pp 49-56)
  • Worden K, Barthorpe RJ & Hensman JJ (2012) Identification of hysteretic systems using NARX models, part II: A Bayesian approach. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 4 (pp 57-65)
  • Barthorpe RJ (2011) Bayesian sensitivity analysis of numerical models for structural health monitoring. Structural Health Monitoring 2011: Condition-Based Maintenance and Intelligent Structures - Proceedings of the 8th International Workshop on Structural Health Monitoring, Vol. 1 (pp 1300-1308)
  • Barthorpe RJ, Manson G & Worden K (2011) Classification of Multi-Site Damage using Support Vector Machines. 9th International Conference on Damage Assessment of Structures. Oxford, UK
  • Barthorpe RJ & Worden K (2011) Multiple-site damage location using single-site training data. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 1 (pp 195-201)
  • Papatheou E, Manson G, Barthorpe RJ & Worden K (2010) Damage location using added masses in a Piper Tomahawk aircraft wing. Proceedings of ISMA 2010: International Conference on Noise and Vibration Engineering. Leuven, Belgium
  • Manson G & Barthorpe RJ (2009) Selecting Features for Damage Identification without Damaging the Structure. IWSHM2009, 7th International Workshop on Structural Engineering Dynamics. Stanford, CA
  • Barthorpe RJ, Worden K, Surace C & Demarie G (2009) A comparative study of approaches to damage detection. XIX Congresso AIMETA. Ancona, Italy
  • Barthorpe RJ, Worden K & Manson G (2009) Finite Element Model-based Feature Generation for Structural Health Monitoring. IMAC-XXVII: Conference & Exposition on Structural Dynamics. Orlando, FL
  • Barthorpe RJ, Manson G & Worden K (2009) A forward approach to model-based structural health monitoring. ICEDyn 2009, International Conference on Structural Engineering Dynamics. Ericeira, Portugal
  • Barthorpe RJ (2009) Identification of robust damage-sensitive features for model-based structural health monitoring: an effect screening approach. USD2009 2nd International Conference on Uncertainty in Structural Dynamics. Sheffield, UK
  • Papatheou E, Manson G, Worden K & Barthorpe R (2008) The Use of Pseudo-Faults for SHM Feature Selection and Pattern Recognition. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 1104-1112)
  • Papatheou E, Barthorpe R, Worden K & Manson G (2008) Fault induction using added masses for structural damage identification. PROCEEDINGS OF ISMA 2008: INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING, VOLS. 1-8 (pp 3333-3344)
  • Barthorpe RJ, Worden K & Manson G (2008) An Investigation into the Necessary Model Fidelity for SHM Feature Selection. PROCEEDINGS OF THE FOURTH EUROPEAN WORKSHOP ON STRUCTURAL HEALTH MONITORING 2008 (pp 980-989)
  • Dervilis N, Worden , antoniadou , cross , Barthorpe , Alessio Datteo , Giorgio Busca & Alfredo Cigada () Experimental evaluation of environmental effects on a polymer-coated aluminium structure: a time-series analysis and pattern recognition approach. ISMA2016 View this article in WRRO

Other

  • Simmermacher T, Cogan S, Horta LG & Barthorpe R (2012) Conference Proceedings of the Society for Experimental Mechanics Series: Preface. Conference Proceedings of the Society for Experimental Mechanics Series, 4.