Dr Elizabeth Cross

Lecturer

Department of Mechanical Engineering
Sir Frederick Mappin Building
Mappin Street
Sheffield
S1 3JD
UK

Telephone: +44 (0) 114 222 7846
Fax: +44 (0) 114 222 7890

Profile

Elizabeth Cross is a lecturer in the Dynamics Research Group in the Department of Mechanical Engineering. She was awarded a first class degree in mathematics from the University of Sheffield in 2007 and an MSc (Res) in Advanced Mechanical Engineering, also from the University of Sheffield, in 2008. In 2012 she completed her PhD on Structural Health Monitoring whilst also working as a research associate in her final year in collaboration with Messier-Bugatti-Dowty.

Her specific areas of interest include the development of robust indicators for structural performance and condition and the importation of sophisticated mathematical techniques for use in the discipline of structural dynamics.

Research Interests

Elizabeth’s main research interests are in the field of Structural Health Monitoring (SHM), specifically vibration based SHM, which uses monitored dynamic properties of a structure for condition assessment and damage detection. SHM is still a relatively young field and so much of the research that goes on is confined to the laboratory. While it is true that research into SHM is becoming increasingly popular, it has failed, so far, to be taken up in any major way by industry, despite the obvious economic and safety benefits it could offer.

Elizabeth’s current research is broadly concerned with how SHM can be made to work for the real world and encompasses the application of statistics and machine learning technology, as well as mathematics from other disciplines such as econometrics.

Selected Publications

Book Chapter:

An introduction to Structural Health Monitoring in the context of civil infrastructure,
Cross, E. J. & Worden, K. (2012),
In Health Assessment of Engineering Structures: Bridges and Other Infrastructure, ed. Halder, A.,
World Scientific.

Selected Journal Papers

Features for damage detection with insensitivity to environmental and operational variations,
Cross, E. J., Worden, K., Manson, G. & Pierce, G. (2012),
Proceedings of the Royal Society A, in press.

Long-term monitoring and analysis of the Tamar Bridge,
Cross, E. J., Koo, K. Y., Brownjohn, J. M. W & Worden, K. (2012),
Mechanical Systems and Signal Processing, in press.

Cointegration; A novel approach for the removal of environmental trends in structural health monitoring data,
Cross, E. J, Worden, K. & Chen, Q. (2011),
Proceedings of the Royal Society A, 467, pp. 2712-2732.
Available online

Approximation of the duffing oscillator frequency response function using the FPK equation,
Cross, E. J., & Worden, K. (2011),
Journal of Sound and Vibration, 330, pp. 743–756.
Available online

Filtering environmental loading effects to enhance novelty detection on cable-supported bridge performance,
Cross, E. J., Koo, K. Y., Brownjohn, K. M. W. & Worden, K. (2012),
6th International Conference on Bridge Maintenance, Safety and Management, Lake Como, Italy.

Prediction of landing gear loads using machine learning techniques,
Cross, E. J., Worden, K., Sartor, P. & Southern, P. (2012),
Proceedings of the 5th European Workshop on Structural Health Monitoring.

Cointegration and SHM of bridges,
Cross, E. J., Koo, K. Y., Brownjohn, J. M. W., & Worden, K. (2011),
Proceedings of 8th International Workshop on Structural Health Monitoring, Stanford, USA.

Cointegration for the removal of environmental trends in SHM data,
Cross, E. J., Worden, K. & Manson, G. (2011),
Proceedings of the 2011 International Conference on Structural Engineering Dynamics, Tavira, Portugal.

A tutorial on Cointegration for engineers - a tool for non-stationary time series analysis,
Cross, E. J., Worden, K., Sturgeon, R. J., & Chen, Q. (2010),
Proceedings of the 10th International Conference on Recent Advances in Structural Dynamics.