Dr Rob Barthorpe

MEng, CEng, PhD

Department of Mechanical Engineering

Lecturer

r.j.barthorpe@sheffield.ac.uk
+44 114 222 7762

+44 114 222 7890 (Fax)

D213, Central Wing, Sir Frederick Mappin Building

Full contact details

Dr Rob Barthorpe
Department of Mechanical Engineering
D213, Central Wing
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD

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.

Research interests

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.

Publications

Books

(2012) Topics in Model Validation and Uncertainty Quantification, Volume 4. Springer New York.

Journal articles

Gardner P, Rogers TJ, Lord C & Barthorpe RJ (2021) Learning model discrepancy: A Gaussian process and sampling-based approach. Mechanical Systems and Signal Processing, 152, 107381-107381.
Hughes AJ, Barthorpe RJ, Dervilis N, Farrar CR & Worden K (2021) A probabilistic risk-based decision framework for structural health monitoring. Mechanical Systems and Signal Processing, 150, 107339-107339.
Zhang T, Barthorpe RJ & Worden K (2020) On Treed Gaussian Processes and piecewise-linear NARX modelling. Mechanical Systems and Signal Processing, 144. View this article in WRRO
Barthorpe RJ & Worden K (2020) Emerging trends in optimal structural health monitoring system design: From sensor placement to system evaluation. Journal of Sensor and Actuator Networks, 9(3). View this article in WRRO
Gardner P, Lord C & Barthorpe RJ (2020) Bayesian history matching for structural dynamics applications. Mechanical Systems and Signal Processing, 143. View this article in WRRO
Worden K, Cross E, Barthorpe R, Wagg D & Gardner P (2020) On digital twins, mirrors and virtualisations: Frameworks for model verification and validation. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering. View this article in WRRO
Wagg D, Worden K, Barthorpe R & Gardner P (2020) Digital twins: State-of-the-art future directions for modelling and simulation in engineering dynamics applications. ASCE - ASME Journal of Risk and Uncertainty in Engineering Systems, Part B. Mechanical Engineering. View this article in WRRO
Gardner P, Lord C & Barthorpe R (2019) A unifying framework for probabilistic validation metrics. Journal of Verification, Validation and Uncertainty Quantification, 4(3). View this article in WRRO
Gardner P, Rogers TJ, Lord C & Barthorpe RJ (2018) Sparse Gaussian Process Emulators for surrogate design modelling. Applied Mechanics and Materials, 885, 18-31. View this article in WRRO
Worden K, Barthorpe RJ, Cross E, Dervilis N, Holmes GR, Manson G & Rogers T (2018) On evolutionary system identification with applications to nonlinear benchmarks. Mechanical Systems and Signal Processing, 112, 194-232. View this article in WRRO
Barthorpe RJ, Manson G & Worden K (2017) On multi-site damage identification using single-site training data. Journal of Sound and Vibration, 409, 43-64. View this article in WRRO
Wagg DJ, Cross EJ, Barthorpe RJ & Faravelli L (2016) A report on the 6th European Conference on Structural Control. Structural Control and Health Monitoring, 24(1), e1970-e1970. View this article in WRRO
Dervilis N, antoniadou , Barthorpe , Cross & worden (2016) Robust methods for outlier detection and regression for SHM applications.. International Journal of Sustainable Materials and Structural Systems. View this article in WRRO
Liu X, Cammarano A, Wagg DJ, Neild SA & Barthorpe RJ (2016) N−1 modal interactions of a three-degree-of-freedom system with cubic elastic nonlinearities. Nonlinear Dynamics, 83(1-2), 497-511. View this article in WRRO
Dervilis N, Cross EJ, Barthorpe RJ & Worden K (2014) Robust methods of inclusive outlier analysis for structural health monitoring. Journal of Sound and Vibration, 333(20), 5181-5195.
Papatheou E, Manson G, Barthorpe RJ & Worden K (2014) The use of pseudo-faults for damage location in SHM: An experimental investigation on a Piper Tomahawk aircraft wing. Journal of Sound and Vibration, 333(3), 971-990. View this article in WRRO
Dervilis N, Creech ACW, Maguire AE, Antoniadou I, Barthorpe RJ & Worden K (2014) An SHM view of a CFD model of Lillgrund wind farm. Applied Mechanics and Materials, 564, 164-169.
Dervilis N, Choi M, Antoniadou I, Farinholt KM, Taylor SG, Barthorpe RJ, Park G, Farrar CR & Worden K (2014) Machine learning applications for a wind turbine blade under continuous fatigue loading. Key Engineering Materials, 588, 166-174.
Dervilis N, Barthorpe RJ, Worden K, Taylor SG, Park G, Farrar CR & Choi M (2013) On damage diagnosis for a wind turbine blade using pattern recognition. Journal of Sound and Vibration.
Antoniadou I, Dervilis N, Barthorpe RJ, Manson G & Worden K (2013) Advanced tools for damage detection in wind turbines. Key Engineering Materials, 569-570, 547-554.
Dervilis N, Barthorpe RJ & Worden K (2013) Comparative study of robust novelty detection techniques. Key Engineering Materials, 569-570, 1109-1115.
Papatheou E, Manson G, Barthorpe RJ & Worden K (2010) The use of pseudo-faults for novelty detection in SHM. J SOUND VIB, 329(12), 2349-2366.
Deraemaeker A, Preumont A, Reynders E, De Roeck G, Kullaa J, Lamsa V, Worden K, Manson G, Barthorpe R, Papatheou E , Kudela P et al (2010) Vibration-based structural health monitoring using large sensor networks. SMART STRUCTURES AND SYSTEMS, 6(3), 335-347.
Manson G & Barthorpe RJ (2010) Advanced Feature Selection for Simplified Pattern Recognition within the Damage Identification Framework. Shock and Vibration, 17(4-5), 589-599.
Manson G & Barthorpe RJ (2010) Advanced feature selection for simplified pattern recognition within the damage identification framework. SHOCK AND VIBRATION, 17(4-5), 589-599.
Hensman JJ & Barthorpe RJ (2009) Feature extraction from spectral data using the bayesian evidence framework. Key Engineering Materials, 413-414, 151-158.
Hughes AJ, Bull LA, Gardner P, Barthorpe RJ, Dervilis N & Worden K () On risk-based active learning for structural health monitoring.
Wang T, Wagg DJ, Worden K & Barthorpe RJ () On sensor optimisation for structural health monitoring robust to environmental variations. Wind Energy Science, 6(5), 1107-1116.

Chapters

Muraleedharan A, Barthorpe RJ & Worden K (2022) On Predicting Uncertainties in the Dynamic Response of a Welded Structure (pp. 45-57).
Haywood-Alexander M, Rogers TJ, Worden K, Barthorpe RJ, Cross EJ & Dervilis N (2020) Modelling of Guided Waves in a Composite Plate Through a Combination of Physical Knowledge and Regression Analysis, Rotating Machinery, Optical Methods & Scanning LDV Methods, Volume 6 (pp. 109-114). Springer International Publishing
Zhu Y-C, Wagg D, Cross E & Barthorpe R (2020) Real-Time Digital Twin Updating Strategy Based on Structural Health Monitoring Systems, Model Validation and Uncertainty Quantification, Volume 3 (pp. 55-64). Springer International Publishing
Fuentes R, Cross EJ, Gardner PA, Bull LA, Rogers TJ, Barthorpe RJ, Shi H, Dervilis N, Farrar CR & Worden K (2020) Structural Health Monitoring and Damage Identification, Handbook of Experimental Structural Dynamics (pp. 1-72).
Gardner P, Lord C & Barthorpe RJ (2019) Bayesian History Matching for Forward Model-Driven Structural Health Monitoring, Model Validation and Uncertainty Quantification, Volume 3 (pp. 175-183). Springer International Publishing
Barthorpe RJ & Worden K (2009) Sensor placement optimisation for structural health monitoring In Boller C, Chang F & Fujino YZ (Ed.), Encyclopedia of structural health monitoring (pp. 1239-1250). Chichester: Wiley.

Conference proceedings papers

Hughes AJ, Barthorpe RJ & Worden K (2022) On Health-State Transition Models for Risk-Based Structural Health Monitoring (pp 49-60)
Hughes AJ, Barthorpe RJ, Farrar CR & Worden K (2021) An Augmented Risk-Based Paradigm for Structural Health Monitoring (pp 201-212)
Muraleedharan A, Barthorpe R & Worden K (2020) A PROBABILISTIC APPROACH TOWARDS UNCERTAINTY QUANTIFICATION IN JOINED STRUCTURES. XI International Conference on Structural Dynamics, 23 November 2020 - 26 November 2020.
Barthorpe R (2020) Preface. Conference Proceedings of the Society for Experimental Mechanics Series (pp v)
Hughes AJ, Barthorpe RJ, Gardner P, Wagg DJ, Rogers TJ, Cross EJ & Worden K (2020) On decision-making for adaptive models combining physics and data. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3623-3637)
Zhu YC, Gardner P, Fuentes R, Wagg DJ, Cross EJ & Barthorpe RJ (2020) On robust equation discovery: A sparse Bayesian and Gaussian process approach. Proceedings of ISMA 2020 - International Conference on Noise and Vibration Engineering and USD 2020 - International Conference on Uncertainty in Structural Dynamics (pp 3599-3610)
Gardner P, Lord C & Barthorpe RJ (2019) Sequential Bayesian History Matching for Model Calibration. ASME 2019 Verification and Validation Symposium, 15 May 2019 - 17 May 2019. View this article in WRRO
Gardner P, Rogers T, Lord C & Barthorpe R (2019) Learning of model discrepancy for structural dynamics applications using Bayesian history matching. Journal of Physics : Conference Series, Vol. 1264(1), 15 April 2019 - 17 April 2019. View this article in WRRO
Wagg D, Gardner P, Barthorpe R & Worden K (2019) On key technologies for realising digital twins for structural dynamics applications. Model Validation and Uncertainty Quantification, Volume 3, Vol. 3 (pp 267-272). Reno, NV, USA, 3 June 2019 - 6 June 2019. View this article in WRRO
Worden K, Cross E, Gardner P, Barthorpe R & Wagg D (2019) On digital twins, mirrors and virtualisations. Model Validation and Uncertainty Quantification, Volume 3, Vol. 3 (pp 285-295). Reno, NV, USA, 3 June 2019 - 6 June 2019. View this article in WRRO
Barthorpe R (2019) Preface. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3 (pp v)
Gardner P, Lord C & Barthorpe R (2018) A probabilistic framework for forward model-driven SHM. Proceedings of the 9th European Workshop on Structural Health Monitoring (EWSHM 2018)(2018-11). Manchester, UK, 10 July 2018 - 13 July 2018. View this article in WRRO
Gardner P, Lord C & Barthorpe RJ (2018) A multi-level uncertainty integration strategy for forward model-driven SHM. Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics (pp 3681-3692) View this article in WRRO
Gardner P, Lord C & Barthorpe RJ (2018) An Evaluation of Validation Metrics for Probabilistic Model Outputs. ASME 2018 Verification and Validation Symposium, 16 May 2018 - 18 May 2018.
Zhang T, Barthorpe RJ & Worden K (2018) On NARX models using treed Gaussian processes. Proceedings of ISMA 2018 - International Conference on Noise and Vibration Engineering and USD 2018 - International Conference on Uncertainty in Structural Dynamics (pp 2775-2782)
Barthorpe R, Platz R, Lopez I, Moaveni B & Papadimitriou C (2017) Preface. Conference Proceedings of the Society for Experimental Mechanics Series, Vol. 3 Part F2 (pp v)
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) View this article in WRRO
Tiboaca D, Green PL, Barthorpe RJ, Antoniadou I & Worden K (2016) Bayesian Inference and RJMCMC in Structural Dynamics: On Experimental Data (pp 23-36)
Worden K, Antoniadou I, Tiboaca OD, Manson G & Barthorpe RJ (2016) Linear and Nonlinear System Identification Using Evolutionary Optimisation (pp 325-345)
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 (pp 123-131)
Datteo A, Dervilis N, Barthorpe RJ, Cross EJ, Worden K, Busca G, Cigada A & Antoniadou I (2016) Experimental evaluation of environmental effects on a polymer-coated aluminium structure: A time-series analysis and pattern recognition approach. Proceedings of ISMA 2016 - International Conference on Noise and Vibration Engineering and USD2016 - International Conference on Uncertainty in Structural Dynamics (pp 3295-3307) View this article in WRRO
Worden K, Tiboaca OD, Antoniadou I & Barthorpe RJ (2015) System Identification of an MDOF Experimental Structure with a View Towards Validation and Verification (pp 57-65)
Papatheou E, Barthorpe RJ & Worden K (2015) An Experimental Investigation of Feature Availability in Nominally Identical Structures for Population-Based SHM (pp 185-191)
Tiboaca D, 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 and USD 2014 - International Conference on Uncertainty in Structural Dynamics (pp 1253-1266) 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 (pp 277-284) 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)
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)
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, 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
Barthorpe RJ, Cross EJ, Papatheou E & Worden K (2012) Some recent developments in structural health monitoring. Key Engineering Materials, Vol. 518 (pp 298-318)
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)
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)
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)
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
Barthorpe RJ, Worden K, Surace C & Demarie G (2009) A comparative study of approaches to damage detection. XIX Congresso AIMETA. Ancona, Italy
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 & Manson G (2009) Finite Element Model-based Feature Generation for Structural Health Monitoring. IMAC-XXVII: Conference & Exposition on Structural Dynamics. Orlando, FL
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
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, 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)
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)
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)
GARDNER P & BARTHORPE RJ () On Current Trends in Forward Model-driven SHM. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018. View this article in WRRO
HAYWOOD-ALEXANDER M, WORDEN K, BARTHORPE R, FUENTES R, ROGERS T & DERVILIS N () Health Monitoring of Composite Structures by Combining Ultrasonic Wave Data. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
GONZAGA PH, DERVILIS N, WORDEN K, BARTHORPE R, STEVANOVIC N & BERNHAMMER LO () Structural Health Monitoring: A Review of Uncertainty Quantification Methods in Wind Turbine Systems. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
HUGHES A, WORDEN K & BARTHORPE R () On an Application of Probabilistic Risk Assessment to Structural Health Monitoring. Structural Health Monitoring 2019, 24 October 2018 - 26 October 2018.
Gardner P, Barthorpe R & Lord C () EACS 2016 paper - QUANTIFICATION OF UNCERTAINTY FOR EXPERIMENTALLY OBTAINED MODAL PARAMETERS IN THE CREATION OF A ROBUST DAMAGE MODEL
ZHANG T, BARTHORPE R & WORDEN K () A Simplified Treed Gaussian Process Approach to the Modelling of Bridge Data for Structural Health Monitoring. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017.
GARDNER P, BARTHORPE RJ & LORD C () Bayesian Calibration and Bias Correction for Forward Model-driven SHM. Structural Health Monitoring 2017, 12 September 2017 - 14 September 2017. View this article in WRRO
TIBOACA D, BARTHORPE R, ANTONIADOU I & WORDEN K () Multiple Damage Identification Using the Reversible Jump Markov Chain Monte Carlo. Structural Health Monitoring 2015
Hughes A, Bull L, Gardner P, Barthorpe R, Dervilis N & Worden K () A risk-based active learning approach to inspection scheduling. Proceedings of the 10th International Conference on Structural Health Monitoring of Intelligent Infrastructure 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.

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

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