Joseph Corcoran

Joseph James Corcoran

Associate Professor

Rhodes Hall


CEAS - Aerospace Eng - 0070

Professional Summary

Joseph Corcoran joined the University of Cincinnati as Associate Professor in 2020. He received his MEng and PhD degrees in Mechanical Engineering from Imperial College London, where he maintains an Honorary Lecturer position. His research interests lie in the development of Structural Health Monitoring (SHM) systems and ‘smart’ structural integrity assessments through the Digital Twin concept. His research covers electromagnetic and ultrasonic methods, analytical and experimental techniques and the development of both hardware and software solutions. He has expertise in integrating structural health monitoring data with probabilistic structural integrity assessments to provide real-time, uncertainty-quantified diagnostics and prognostics.

Joseph Corcoran is part of the University of Cincinnati Center for Nondestructive Evaluation:

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Research Support

Investigators:Corcoran, Joseph; Nagy, Peter 03-16-2021 -03-16-2022 Rolls-Royce, Incorporated Dual-mode Electromagnetic Residual Stress Profiling in Shot-peened Titanium Engine Alloy Role:Collaborator 98858.00 Active Level:Industry

Grant: #DE NE0009176 Investigators:Corcoran, Joseph; Nagy, Peter 10-01-2021 -09-30-2024 Department of Energy High-Temperature Electromagnetic Acoustic Transducers (EMATs) for Structural Health Monitoring Role:PI 623600.00 Awarded Level:Federal

Grant: #OSGC Reed 18255 Investigators:Corcoran, Joseph 08-01-2022 -07-31-2023 NASA Headquarters Structural Health Monitoring of Aerospace Structures Using a Passive Guided Wave Approach (Natalie Reed) Role:PI 10000.00 Awarded Level:Federal

01-15-2024 -05-03-2024 ClampOn AS TAA Agreement: Evaluation of Coupling Quality of Acoustic Emission Transducer Assemblies and Pipes Role:PI 45000.00 Hold Level:Industry

01-15-2024 -05-03-2024 ClampOn AS TAA Agreement: Evaluation of Coupling Quality of Acoustic Emission Transducer Assemblies and Pipes Role:PI 45000.00 Hold Level:Industry


Peer Reviewed Publications

O'Dowd N.M.; Madarshahian R.; Leung M.S.H.; Corcoran J.; Todd M.D. (01-01-2021. ) A probabilistic estimation approach for the failure forecast method using Bayesian inference.International Journal of Fatigue, , 142 , More Information

Corcoran J.;Leinov E.;Jeketo A.;Lowe M.J.S. (05-01-2020. ) A Guided Wave Inspection Technique for Wedge Features.IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, , 67 (5 ) ,997-1008 More Information

Corcoran J.;Davies C.M.;Cawley P.;Nagy P.B. (04-01-2020. ) A quasi-DC potential drop measurement system for material testing.IEEE Transactions on Instrumentation and Measurement, , 69 (4 ) ,1313-1326 More Information

Zhang Y.; Cegla F.; Corcoran J. (01-01-2020. ) Ultrasonic monitoring of pipe wall interior surface temperature.Structural Health Monitoring, , More Information

Corcoran J.;Nagy P. (11-01-2019. ) Passive thermoelectric power monitoring for material characterisation.Structural Health Monitoring, , 18 (5-6 ) ,1915-1927 More Information

Leung M.;Corcoran J.;Nagy P. (03-01-2019. ) The influence of the dynamic magnetoelastic effect on potential drop measurements.NDT and E International, , 102 ,153-160 More Information

Leung M.;Corcoran J.;Cawley P.;Todd M. (03-01-2019. ) Evaluating the use of rate-based monitoring for improved fatigue remnant life predictions.International Journal of Fatigue, , 120 ,162-174 More Information

Corcoran J.;Nagy P. (09-01-2018. ) Magnetic Stress Monitoring Using a Directional Potential Drop Technique.Journal of Nondestructive Evaluation, , 37 (3 ) , More Information

Corcoran J.;Davies C. (05-01-2018. ) Monitoring power-law creep using the Failure Forecast Method.International Journal of Mechanical Sciences, , 140 ,179-188 More Information

Corcoran J.;Raja S.;Nagy P.B. (03-01-2018. ) Improved thermoelectric power measurements using a four-point technique.NDT and E International, , 94 ,92-100 More Information

Todd M.;Leung M.;Corcoran J. (01-01-2018. ) A probability density function for uncertainty quantification in the failure forecast method .9th European Workshop on Structural Health Monitoring, EWSHM 2018, ,

Todd M.;Leung M.;Corcoran J.;Cawley P. (01-01-2018. ) Fatigue prognosis using the uncertainty-quantified failure forecast method .Proceedings of the 7th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2018, , 129-137

Corcoran J. (09-01-2017. ) Rate-based structural health monitoring using permanently installed sensors.Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, , 473 (2205 ) , More Information

Corcoran J.;Nagy P.;Cawley P. (06-01-2017. ) Monitoring creep damage at a weld using a potential drop technique.International Journal of Pressure Vessels and Piping, , 153 ,15-25 More Information

Joseph Corcoran (2017. ) Rate-based structural health monitoring using permanently installed sensors.Proceedings of the Royal Society A, , 473 (2205 ) , More Information

Corcoran J.;Nagy P. (12-01-2016. ) Compensation of the Skin Effect in Low-Frequency Potential Drop Measurements.Journal of Nondestructive Evaluation, , 35 (4 ) , More Information

Corcoran J.;Hooper P.;Davies C.;Nagy P.;Cawley P. (05-01-2016. ) Creep strain measurement using a potential drop technique.International Journal of Mechanical Sciences, , 110 ,190-200 More Information

Leung M.S.H.; Corcoran J. (09-01-2021. ) Evaluating the Probability of Detection Capability of Permanently Installed Sensors Using a Structur.Journal of Nondestructive Evaluation, , 40 (3 ) , More Information

Hey Leung M.S.; Corcoran J. (01-01-2021. ) A probabilistic method for structural integrity assurance based on damage detection structural healt.Structural Health Monitoring, , More Information

Paialunga P.; Shi F.; Haslinger S.G.; Corcoran J. (06-01-2024. ) A machine learning surrogate model for time of flight diffraction measurements of rough defects.NDT and E International, , 144 , More Information

Paialunga P.; Corcoran J. (11-01-2023. ) Damage detection in guided wave structural health monitoring using Gaussian process regression.Structural Health Monitoring, , 22 (6 ) ,3956-3970 More Information

Jones E.; Sciard J.; Corcoran J. (03-01-2022. ) The Influence of Creep Induced Grain Boundary Separation on Electrical Non-destructive Evaluation Me.Journal of Nondestructive Evaluation, , 41 (1 ) , More Information

Courses Taught

AEEM1001 - Statics and Strength of Materials Level:Undergraduate

AEEM7027 - Nondestructive Evaluation Level:Graduate