Dr Andrea Cammarano

  • Reader (Systems Power & Energy)

telephone: +44 (0) 141 330 4972
email: Andrea.Cammarano@glasgow.ac.uk

Room 337, James Watt South Building

Import to contacts

ORCID iDhttps://orcid.org/0000-0002-8222-8150

Research interests

‌Biography

I am senior lecturer in System Dynamics and I am part of the SPE group. I graduated from the University of Naples in Aerospace Engineering in 2006. After my degree I worked for two years in acoustics and noise reduction for Ansaldo Breda (high speed train V250) and Piaggio Aeronautica (P180 Avanti). During this period I nurtured my passion for research and I finally decided to continue my studies by joining the University of Bristol for a PhD. My PhD dissertation was titled "Increasing the bandwidth of vibration based Energy harvesters". During these years I developed an interest for nonlinear dynamical systems. After working for the university of Bristol on three projects on nonlinear dynamics, I was appointed as a lecturer in System Dynamics in January 2015. 

Interests 

My main research interests include system dynamics, with particular attention to nonlinear system dynamics and control, mathematics/numerical modeling and multi-physics systems. 

System dynamics

My research in system dynamics mainly focuses on nonlinear dynamics and structural dynamics. In particular I am interested in explaining the complex behavior exhibited by nonlinear structures: nonlinear modes, modal interaction, harmonic and quasi periodic responses, bifurcations. Both simulation and identification of nonlinear systems are part of my research activities. My invesitgation of nonlinear phenonema involve both theoretical studies but also numerical modelling, validation and experimental testing. 

Modeling and simulation 

Mathematical and numerical tools are essential to investigate the dynamics of complex systems. These tools are key to understand and control the response of the engineering systems. A considerable part of my research is devoted to the development of  analytical and numerical method to identify the characteristics of dynamical systems, predict their reponse and design adquate control strategies. 

Multi-physics dynamical systems

In modern engineering the study of complex systems where several fields interact with one another has become fundamental. The need for a wiser use of resources calls for optimisation on all fronts, with tailored solutions that achive high efficiency and performace in an increasingly wider operational range and within the environment in which a system has to function. This is the drive for multi-physics research with multi-vector optimisation, a novel branch of system dynamics which can path the way to more sustainable and energy efficient solutions.  

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2011 | 2010 | 2009
Number of items: 41.

2023

Hunt, G. , Pickles, D. , Cammarano, A. and Falcone, G. (2023) Experimental slug flow-induced fluid–structure interaction of a pressurized flexible pipe. In: Special Topics in Structural Dynamics and Experimental Techniques, Volume 5. Springer Nature. (In Press)

Hanifi, S., Zare-Behtash, H. , Cammarano, A. and Lotfian, S. (2023) Offshore wind power forecasting based on WPD and optimised deep learning methods. Renewable Energy, (Accepted for Publication)

Syuhri, S. N.H., Pickles, D. , Zare-Behtash, H. and Cammarano, A. (2023) Influence of travelling waves on the fluid dynamics of a beam submerged in water. Journal of Fluids and Structures, 121, 103947. (doi: 10.1016/j.jfluidstructs.2023.103947)

Jimenez Cuesta, C., Pickles, D. , Worrall, K. , Cammarano, A. and Zare-Behtash, H. (2023) Characterisation of the Dust Cloud During Landing on Lunar and Martian Surfaces. Aerospace Europe Conference 2023 Joint 10th EUCASS - 9th CEAS Conference, Lausanne, Switzerland, 9-13 July 2023.

Martinelli, C., Coraddu, A. and Cammarano, A. (2023) Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: advantages and limitations. Nonlinear Dynamics, 111(9), pp. 8545-8569. (doi: 10.1007/s11071-023-08293-1)

Hanifi, S., Zare-Behtash, H. , Cammarano, A. and Lotfian, S. (2023) Offshore Wind Power Forecasting Based on WPD and Optimized Deep Learning Methods. 9th International Conference on Time Series and Forecasting (ITISE-2023), Gran Canaria, Spain, 12-14 July. (Accepted for Publication)

Jimenez Cuesta, C., Worrall, K. , Cammarano, A. , Pickles, D. and Zare-Behtash, H. (2023) Plume-regolith Dust Cloud Characterisation. Lunar Surface Innovation Consortium Spring Meeting, Laurel, ‎MD‎, USA, 24-25 Apr 2023.

Budzyń, D. , Zare-Behtash, H. , Cowley, A. and Cammarano, A. (2023) Implicit lunar dust mitigation technology: compliant mechanisms. Acta Astronautica, 203, pp. 146-156. (doi: 10.1016/j.actaastro.2022.11.042)

2022

Hanifi, S., Lotfian, S., Zare-Behtash, H. and Cammarano, A. (2022) Offshore wind power forecasting-A new hyperparameter optimisation algorithm for deep learning models. Energies, 15(19), 6919. (doi: 10.3390/en15196919)

Budzyń, D. , Cammarano, A. , Zare-Behtash, H. and Cowley, A. (2022) Compliant Mechanisms for Dust Mitigation in Lunar Hardware Development: Technology and Material Considerations. Materials in the Space Environment (ISMSE-15 and ICPMSE-13), Leiden, The Netherlands, 18-23 Sep 2022. (Accepted for Publication)

Budzyń, D. , Tuohy, E., Garrivier, N., Schild, T., Cowley, A., Cruise, R., Adachi, M., Zare-Behtash, H. and Cammarano, A. (2022) Lunar Dust: Its Impact on Hardware and Mitigation Technologies. In: 46th Aerospace Mechanisms Symposium, Houston, TX, USA, 11-13 May 2022, (In Press)

2021

Budzyń, D. , Zare-Behtash, H. , Cowley, A. and Cammarano, A. (2021) Topology Optimization of Compliant Mechanisms as a Design Method to Improve Hardware Performance in Lunar Dust Environment. 19th European Space Mechanisms and Tribology Symposium, 20-24 Sep 2021.

Tunget, B., Lu, P., Cammarano, A. , Karimi, N. and Paul, M. (2021) Modelling validation of tubing compaction for rigless well plug and abandonment. SPE Drilling and Completion, 36(1), pp. 101-117. (doi: 10.2118/201214-PA)

2020

Syuhri, S. N.H., Zare-Behtash, H. and Cammarano, A. (2020) Investigating the influence of fluid-structure interactions on nonlinear system identification. Vibration, 3(4), pp. 521-544. (doi: 10.3390/vibration3040032)

Zhdanov, O. , Blatt, M. R. , Cammarano, A. , Zare-Behtash, H. and Busse, A. (2020) A new perspective on mechanical characterisation of Arabidopsis stems through vibration tests. Journal of the Mechanical Behavior of Biomedical Materials, 112, 104041. (doi: 10.1016/j.jmbbm.2020.104041)

Christodoulou, L. , Karimi, N. , Cammarano, A. , Paul, M. and Navarro-Martinez, S. (2020) State prediction of an entropy wave advecting through a turbulent channel flow. Journal of Fluid Mechanics, 882, A8. (doi: 10.1017/jfm.2019.799)

2019

Elliott, A., Cammarano, A. , Neild, S.A., Hill, T.L. and Wagg, D.J. (2019) Using frequency detuning to compare analytical approximations for forced responses. Nonlinear Dynamics, 98, pp. 2795-2809. (doi: 10.1007/s11071-019-05229-6)

Tartaruga, I., Elliott, A., Hill, T. L., Neild, S. A. and Cammarano, A. (2019) The effect of nonlinear cross-coupling on reduced-order modelling. International Journal of Non-Linear Mechanics, 116, pp. 7-17. (doi: 10.1016/j.ijnonlinmec.2019.05.006)

Zhdanov, O. , Busse, A. , Cammarano, A. , Zare-Behtash, H. and Blatt, M. (2019) Effect of Wind on Morphology and Mechanical Properties of Arabidopsis Thaliana. SES 2019 – Society of Engineering Science, 56th Annual Technical Meeting, Washington University, St. Louis, 13-15 October 2019.

Elliott, A.J. , Cammarano, A. and Neild, S.A. (2019) Investigating modal contributions using a Galerkin model. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Series: Conference proceedings of the Society for Experimental Mechanics series. Springer: Cham, pp. 199-210. ISBN 9783319742793 (doi: 10.1007/978-3-319-74280-9_22)

2018

Elliott, A.J., Cammarano, A. , Neild, S.A., Hill, T.L. and Wagg, D.J. (2018) Comparing the direct normal form and multiple scales methods through frequency detuning. Nonlinear Dynamics, 94(4), pp. 2919-2935. (doi: 10.1007/s11071-018-4534-1)

Elliott, A. , Tartaruga, I., Cammarano, A. , Dobson, P.S. and Neild, S.A. (2018) Investigating Reduced Order Models for Nanoscale Nonlinear Structures. In: ISMA International Conference on Noise and Vibration Engineering, Leuven, Belgium, 17-19 Sep 2018, pp. 2749-2758.

2017

Hill, T.L., Cammarano, A. , Neild, S.A. and Barton, D.A.W. (2017) Identifying the significance of nonlinear normal modes. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 473(2199), 20160789. (doi: 10.1098/rspa.2016.0789) (PMID:28413342) (PMCID:PMC5378240)

Elliott, A.J., Cammarano, A. and Neild, S.A. (2017) Comparing Analytical Approximation Methods with Numerical Results for Nonlinear Systems. In: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, Garden Grove, CA, USA, 30 Jan - 02 Feb 2017, pp. 37-49. ISBN 9783319455038 (doi: 10.1007/978-3-319-54404-5_4)

Hill, T.L., Neild, S.A., Cammarano, A. and Barton, D.A.W. (2017) The Significance of Nonlinear Normal Modes for Forced Responses. In: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, Garden Grove, CA, USA, 30 Jan - 02 Feb 2017, pp. 135-142. ISBN 9783319455038 (doi: 10.1007/978-3-319-54404-5_14)

2016

Hill, T.L., Neild, S.A. and Cammarano, A. (2016) An analytical approach for detecting isolated periodic solution branches in weakly nonlinear structures. Journal of Sound and Vibration, 379, pp. 150-165. (doi: 10.1016/j.jsv.2016.05.030)

Hill, T.L., Neild, S.A., Cammarano, A. and Wagg, D.J. (2016) The influence of phase-locking on internal resonance from a nonlinear normal mode perspective. Journal of Sound and Vibration, 379, pp. 135-149. (doi: 10.1016/j.jsv.2016.05.028)

Hill, T.L., Cammarano, A. , Neild, S.A. and Wagg, D.J. (2016) The importance of phase-locking in nonlinear modal interactions. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016. Series: Conference Proceedings of the Society for Experimental Mechanics Series. Springer International Publishing: Cham, pp. 121-130. ISBN 9783319297385 (doi: 10.1007/978-3-319-29739-2_12)

Liu, X., Cammarano, A. , Wagg, D.J. and Neild, S.A. (2016) A study of the modal interaction amongst three nonlinear normal modes using a backbone curve approach. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016. Series: Conference Proceedings of the Society for Experimental Mechanics Series. Springer International Publishing: Cham, pp. 131-139. ISBN 9783319297385 (doi: 10.1007/978-3-319-29739-2_13)

Hill, T. L., Green, P. L., Cammarano, A. and Neild, S. A. (2016) Fast Bayesian identification of a class of elastic weakly nonlinear systems using backbone curves. Journal of Sound and Vibration, 360, pp. 156-170. (doi: 10.1016/j.jsv.2015.09.007)

Liu, X., Cammarano, A. , Wagg, D. J., Neild, S. A. and Barthorpe, R. J. (2016) N - 1 modal interactions of a three-degree-of-freedom system with cubic elastic nonlinearities. Nonlinear Dynamics, 83(1-2), pp. 497-511. (doi: 10.1007/s11071-015-2343-3)

2015

Neild, S. A., Champneys, A. R., Wagg, D. J., Hill, T. L. and Cammarano, A. (2015) The use of normal forms for analysing nonlinear mechanical vibrations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2051), 20140404. (doi: 10.1098/rsta.2014.0404) (PMID:26303917) (PMCID:PMC4549939)

Hill, T.L., Cammarano, A. , Neild, S.A. and Wagg, D.J. (2015) Interpreting the forced responses of a two-degree-of-freedom nonlinear oscillator using backbone curves. Journal of Sound and Vibration, 349, pp. 276-288. (doi: 10.1016/j.jsv.2015.03.030)

Bowden, J. A., Burrow, S. G., Cammarano, A. , Clare, L. R. and Mitcheson, P. D. (2015) Switched-mode load impedance synthesis to parametrically tune electromagnetic vibration energy harvesters. IEEE/ASME Transactions on Mechatronics, 20(2), pp. 603-610. (doi: 10.1109/TMECH.2014.2325825)

2014

Cammarano, A. , Neild, S., Burrow, S., Wagg, D. and Inman, D. (2014) Optimum resistive loads for vibration-based electromagnetic energy harvesters with a stiffening nonlinearity. Journal of Intelligent Material Systems and Structures, 25(14), pp. 1757-1770. (doi: 10.1177/1045389X14523854)

Gonzalez-Buelga, A., Clare, L. R., Cammarano, A. , Neild, S. A., Burrow, S. G. and Inman, D. J. (2014) An optimised tuned mass damper/harvester device. Structural Control and Health Monitoring, 21(8), pp. 1154-1169. (doi: 10.1002/stc.1639)

Cammarano, A. , Neild, S. A., Burrow, S. G. and Inman, D. J. (2014) The bandwidth of optimized nonlinear vibration-based energy harvesters. Smart Materials and Structures, 23(5), 055019. (doi: 10.1088/0964-1726/23/5/055019)

Cammarano, A. , Hill, T. L., Neild, S. A. and Wagg, D. J. (2014) Bifurcations of backbone curves for systems of coupled nonlinear two mass oscillator. Nonlinear Dynamics, 77(1-2), pp. 311-320. (doi: 10.1007/s11071-014-1295-3)

2011

Cammarano, A. , Burrow, S. G. and Barton, D. A. W. (2011) Modelling and experimental characterization of an energy harvester with bi-stable compliance characteristics. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225(4), pp. 475-484. (doi: 10.1177/0959651811403093)

2010

Cammarano, A. , Burrow, S. G., Barton, D. A. W., Carrella, A. and Clare, L. R. (2010) Tuning a resonant energy harvester using a generalized electrical load. Smart Materials and Structures, 19(5), 055003. (doi: 10.1088/0964-1726/19/5/055003)

2009

Barbieri, E., Cammarano, A. , De Rosa, S. and Franco, F. (2009) Waveguides of a composite plate by using the spectral finite element approach. Journal of Vibration and Control, 15(3), pp. 347-367. (doi: 10.1177/1077546307087455)

This list was generated on Wed Sep 27 22:52:48 2023 BST.
Jump to: Articles | Book Sections | Conference or Workshop Item | Conference Proceedings
Number of items: 41.

Articles

Hanifi, S., Zare-Behtash, H. , Cammarano, A. and Lotfian, S. (2023) Offshore wind power forecasting based on WPD and optimised deep learning methods. Renewable Energy, (Accepted for Publication)

Syuhri, S. N.H., Pickles, D. , Zare-Behtash, H. and Cammarano, A. (2023) Influence of travelling waves on the fluid dynamics of a beam submerged in water. Journal of Fluids and Structures, 121, 103947. (doi: 10.1016/j.jfluidstructs.2023.103947)

Martinelli, C., Coraddu, A. and Cammarano, A. (2023) Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: advantages and limitations. Nonlinear Dynamics, 111(9), pp. 8545-8569. (doi: 10.1007/s11071-023-08293-1)

Budzyń, D. , Zare-Behtash, H. , Cowley, A. and Cammarano, A. (2023) Implicit lunar dust mitigation technology: compliant mechanisms. Acta Astronautica, 203, pp. 146-156. (doi: 10.1016/j.actaastro.2022.11.042)

Hanifi, S., Lotfian, S., Zare-Behtash, H. and Cammarano, A. (2022) Offshore wind power forecasting-A new hyperparameter optimisation algorithm for deep learning models. Energies, 15(19), 6919. (doi: 10.3390/en15196919)

Tunget, B., Lu, P., Cammarano, A. , Karimi, N. and Paul, M. (2021) Modelling validation of tubing compaction for rigless well plug and abandonment. SPE Drilling and Completion, 36(1), pp. 101-117. (doi: 10.2118/201214-PA)

Syuhri, S. N.H., Zare-Behtash, H. and Cammarano, A. (2020) Investigating the influence of fluid-structure interactions on nonlinear system identification. Vibration, 3(4), pp. 521-544. (doi: 10.3390/vibration3040032)

Zhdanov, O. , Blatt, M. R. , Cammarano, A. , Zare-Behtash, H. and Busse, A. (2020) A new perspective on mechanical characterisation of Arabidopsis stems through vibration tests. Journal of the Mechanical Behavior of Biomedical Materials, 112, 104041. (doi: 10.1016/j.jmbbm.2020.104041)

Christodoulou, L. , Karimi, N. , Cammarano, A. , Paul, M. and Navarro-Martinez, S. (2020) State prediction of an entropy wave advecting through a turbulent channel flow. Journal of Fluid Mechanics, 882, A8. (doi: 10.1017/jfm.2019.799)

Elliott, A., Cammarano, A. , Neild, S.A., Hill, T.L. and Wagg, D.J. (2019) Using frequency detuning to compare analytical approximations for forced responses. Nonlinear Dynamics, 98, pp. 2795-2809. (doi: 10.1007/s11071-019-05229-6)

Tartaruga, I., Elliott, A., Hill, T. L., Neild, S. A. and Cammarano, A. (2019) The effect of nonlinear cross-coupling on reduced-order modelling. International Journal of Non-Linear Mechanics, 116, pp. 7-17. (doi: 10.1016/j.ijnonlinmec.2019.05.006)

Elliott, A.J., Cammarano, A. , Neild, S.A., Hill, T.L. and Wagg, D.J. (2018) Comparing the direct normal form and multiple scales methods through frequency detuning. Nonlinear Dynamics, 94(4), pp. 2919-2935. (doi: 10.1007/s11071-018-4534-1)

Hill, T.L., Cammarano, A. , Neild, S.A. and Barton, D.A.W. (2017) Identifying the significance of nonlinear normal modes. Proceedings of the Royal Society of London Series A: Mathematical, Physical and Engineering Sciences, 473(2199), 20160789. (doi: 10.1098/rspa.2016.0789) (PMID:28413342) (PMCID:PMC5378240)

Hill, T.L., Neild, S.A. and Cammarano, A. (2016) An analytical approach for detecting isolated periodic solution branches in weakly nonlinear structures. Journal of Sound and Vibration, 379, pp. 150-165. (doi: 10.1016/j.jsv.2016.05.030)

Hill, T.L., Neild, S.A., Cammarano, A. and Wagg, D.J. (2016) The influence of phase-locking on internal resonance from a nonlinear normal mode perspective. Journal of Sound and Vibration, 379, pp. 135-149. (doi: 10.1016/j.jsv.2016.05.028)

Hill, T. L., Green, P. L., Cammarano, A. and Neild, S. A. (2016) Fast Bayesian identification of a class of elastic weakly nonlinear systems using backbone curves. Journal of Sound and Vibration, 360, pp. 156-170. (doi: 10.1016/j.jsv.2015.09.007)

Liu, X., Cammarano, A. , Wagg, D. J., Neild, S. A. and Barthorpe, R. J. (2016) N - 1 modal interactions of a three-degree-of-freedom system with cubic elastic nonlinearities. Nonlinear Dynamics, 83(1-2), pp. 497-511. (doi: 10.1007/s11071-015-2343-3)

Neild, S. A., Champneys, A. R., Wagg, D. J., Hill, T. L. and Cammarano, A. (2015) The use of normal forms for analysing nonlinear mechanical vibrations. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 373(2051), 20140404. (doi: 10.1098/rsta.2014.0404) (PMID:26303917) (PMCID:PMC4549939)

Hill, T.L., Cammarano, A. , Neild, S.A. and Wagg, D.J. (2015) Interpreting the forced responses of a two-degree-of-freedom nonlinear oscillator using backbone curves. Journal of Sound and Vibration, 349, pp. 276-288. (doi: 10.1016/j.jsv.2015.03.030)

Bowden, J. A., Burrow, S. G., Cammarano, A. , Clare, L. R. and Mitcheson, P. D. (2015) Switched-mode load impedance synthesis to parametrically tune electromagnetic vibration energy harvesters. IEEE/ASME Transactions on Mechatronics, 20(2), pp. 603-610. (doi: 10.1109/TMECH.2014.2325825)

Cammarano, A. , Neild, S., Burrow, S., Wagg, D. and Inman, D. (2014) Optimum resistive loads for vibration-based electromagnetic energy harvesters with a stiffening nonlinearity. Journal of Intelligent Material Systems and Structures, 25(14), pp. 1757-1770. (doi: 10.1177/1045389X14523854)

Gonzalez-Buelga, A., Clare, L. R., Cammarano, A. , Neild, S. A., Burrow, S. G. and Inman, D. J. (2014) An optimised tuned mass damper/harvester device. Structural Control and Health Monitoring, 21(8), pp. 1154-1169. (doi: 10.1002/stc.1639)

Cammarano, A. , Neild, S. A., Burrow, S. G. and Inman, D. J. (2014) The bandwidth of optimized nonlinear vibration-based energy harvesters. Smart Materials and Structures, 23(5), 055019. (doi: 10.1088/0964-1726/23/5/055019)

Cammarano, A. , Hill, T. L., Neild, S. A. and Wagg, D. J. (2014) Bifurcations of backbone curves for systems of coupled nonlinear two mass oscillator. Nonlinear Dynamics, 77(1-2), pp. 311-320. (doi: 10.1007/s11071-014-1295-3)

Cammarano, A. , Burrow, S. G. and Barton, D. A. W. (2011) Modelling and experimental characterization of an energy harvester with bi-stable compliance characteristics. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 225(4), pp. 475-484. (doi: 10.1177/0959651811403093)

Cammarano, A. , Burrow, S. G., Barton, D. A. W., Carrella, A. and Clare, L. R. (2010) Tuning a resonant energy harvester using a generalized electrical load. Smart Materials and Structures, 19(5), 055003. (doi: 10.1088/0964-1726/19/5/055003)

Barbieri, E., Cammarano, A. , De Rosa, S. and Franco, F. (2009) Waveguides of a composite plate by using the spectral finite element approach. Journal of Vibration and Control, 15(3), pp. 347-367. (doi: 10.1177/1077546307087455)

Book Sections

Hunt, G. , Pickles, D. , Cammarano, A. and Falcone, G. (2023) Experimental slug flow-induced fluid–structure interaction of a pressurized flexible pipe. In: Special Topics in Structural Dynamics and Experimental Techniques, Volume 5. Springer Nature. (In Press)

Elliott, A.J. , Cammarano, A. and Neild, S.A. (2019) Investigating modal contributions using a Galerkin model. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 36th IMAC, A Conference and Exposition on Structural Dynamics 2018. Series: Conference proceedings of the Society for Experimental Mechanics series. Springer: Cham, pp. 199-210. ISBN 9783319742793 (doi: 10.1007/978-3-319-74280-9_22)

Hill, T.L., Cammarano, A. , Neild, S.A. and Wagg, D.J. (2016) The importance of phase-locking in nonlinear modal interactions. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016. Series: Conference Proceedings of the Society for Experimental Mechanics Series. Springer International Publishing: Cham, pp. 121-130. ISBN 9783319297385 (doi: 10.1007/978-3-319-29739-2_12)

Liu, X., Cammarano, A. , Wagg, D.J. and Neild, S.A. (2016) A study of the modal interaction amongst three nonlinear normal modes using a backbone curve approach. In: Kerschen, G. (ed.) Nonlinear Dynamics, Volume 1: Proceedings of the 34th IMAC, A Conference and Exposition on Structural Dynamics 2016. Series: Conference Proceedings of the Society for Experimental Mechanics Series. Springer International Publishing: Cham, pp. 131-139. ISBN 9783319297385 (doi: 10.1007/978-3-319-29739-2_13)

Conference or Workshop Item

Jimenez Cuesta, C., Pickles, D. , Worrall, K. , Cammarano, A. and Zare-Behtash, H. (2023) Characterisation of the Dust Cloud During Landing on Lunar and Martian Surfaces. Aerospace Europe Conference 2023 Joint 10th EUCASS - 9th CEAS Conference, Lausanne, Switzerland, 9-13 July 2023.

Hanifi, S., Zare-Behtash, H. , Cammarano, A. and Lotfian, S. (2023) Offshore Wind Power Forecasting Based on WPD and Optimized Deep Learning Methods. 9th International Conference on Time Series and Forecasting (ITISE-2023), Gran Canaria, Spain, 12-14 July. (Accepted for Publication)

Jimenez Cuesta, C., Worrall, K. , Cammarano, A. , Pickles, D. and Zare-Behtash, H. (2023) Plume-regolith Dust Cloud Characterisation. Lunar Surface Innovation Consortium Spring Meeting, Laurel, ‎MD‎, USA, 24-25 Apr 2023.

Budzyń, D. , Cammarano, A. , Zare-Behtash, H. and Cowley, A. (2022) Compliant Mechanisms for Dust Mitigation in Lunar Hardware Development: Technology and Material Considerations. Materials in the Space Environment (ISMSE-15 and ICPMSE-13), Leiden, The Netherlands, 18-23 Sep 2022. (Accepted for Publication)

Budzyń, D. , Zare-Behtash, H. , Cowley, A. and Cammarano, A. (2021) Topology Optimization of Compliant Mechanisms as a Design Method to Improve Hardware Performance in Lunar Dust Environment. 19th European Space Mechanisms and Tribology Symposium, 20-24 Sep 2021.

Zhdanov, O. , Busse, A. , Cammarano, A. , Zare-Behtash, H. and Blatt, M. (2019) Effect of Wind on Morphology and Mechanical Properties of Arabidopsis Thaliana. SES 2019 – Society of Engineering Science, 56th Annual Technical Meeting, Washington University, St. Louis, 13-15 October 2019.

Conference Proceedings

Budzyń, D. , Tuohy, E., Garrivier, N., Schild, T., Cowley, A., Cruise, R., Adachi, M., Zare-Behtash, H. and Cammarano, A. (2022) Lunar Dust: Its Impact on Hardware and Mitigation Technologies. In: 46th Aerospace Mechanisms Symposium, Houston, TX, USA, 11-13 May 2022, (In Press)

Elliott, A. , Tartaruga, I., Cammarano, A. , Dobson, P.S. and Neild, S.A. (2018) Investigating Reduced Order Models for Nanoscale Nonlinear Structures. In: ISMA International Conference on Noise and Vibration Engineering, Leuven, Belgium, 17-19 Sep 2018, pp. 2749-2758.

Elliott, A.J., Cammarano, A. and Neild, S.A. (2017) Comparing Analytical Approximation Methods with Numerical Results for Nonlinear Systems. In: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, Garden Grove, CA, USA, 30 Jan - 02 Feb 2017, pp. 37-49. ISBN 9783319455038 (doi: 10.1007/978-3-319-54404-5_4)

Hill, T.L., Neild, S.A., Cammarano, A. and Barton, D.A.W. (2017) The Significance of Nonlinear Normal Modes for Forced Responses. In: Proceedings of the 35th IMAC, A Conference and Exposition on Structural Dynamics 2017, Garden Grove, CA, USA, 30 Jan - 02 Feb 2017, pp. 135-142. ISBN 9783319455038 (doi: 10.1007/978-3-319-54404-5_14)

This list was generated on Wed Sep 27 22:52:48 2023 BST.

Grants

MUltiphase Flow-induced Fluid-flexible structure InteractioN in Subsea applications

The MUFFINS project assembles a multidisciplinary team from Newcastle University, Imperial College London, Glasgow University, industrial partners including BP, Chevron, TOTAL and TechnipFMC, who are members of the Transient Multiphase Flow and Flow Assurance Consortium (TMF), Wood, Xodus, Orcina and TNO in the Netherlands, and an academic partner, the National University of Singapore, to develop the next generation of pioneering technologies and cost-efficient tools for the safe, reliable and real-life designs of subsea systems, such as flowlines, pipelines, risers, jumpers and manifolds, transporting multiphase hydrocarbon liquid-gas flows and subject to internal/external hydrodynamic excitations. 

Risk EvaLuatIon fAst iNtelligent Tool (RELIANT) for COVID19

This project brings together unique expertise in Computational and Experimental Fluid Dynamics, Model Reduction and Artificial Intelligence, to identify solutions for the management of people and spaces in the current pandemic and post lockdown.

A new interactive tool is proposed that evaluates the risk of infection in the indoor environment from droplets and aerosols generated when breathing, talking, coughing and sneezing. This capability will become more critical as winter approaches and building ventilation will need to be limited for comfort considerations. The fluid dynamic behaviour of droplets and aerosols, the effect of using face masks as well as other parameters such as room volume, ventilation and number of occupants are considered. A datahub capable of storing, curating and managing heterogeneous data from sources internal and external to the project will be created. A synergetic experimental and numerical approach will be undertaken. These will complement the existing literature and data from other EPSRC-funded projects providing suitable datasets with adequate resolution in time and space for all the relevant features. To support experiments and numerical simulations, reduced order models capable of interpolating and extrapolating the scenarios collected in the database will be used. This will permit the estimation of droplet and aerosol concentrations and distributions in unknown scenarios at low-computational cost, in near real-time. A state-of-the-art AI-based framework, incorporating descriptive, predictive and prescriptive techniques will extract the knowledge from the data and drive the decision-making process and provide in near real-time the assessment of risk levels.

Delivering a Climate Resilient City through City-University Partnership: Glasgow as a Living Lab Accelerating Novel Transformation (GALLANT)

GALLANT's vision is to develop whole-systems solutions for a just and sustainable transition delivered at the city scale. Corporate and political leaders are committing to carbon neutrality locally and globally, often without detailed strategies in place or coordination. This will likely lead to delays and suboptimal outcomes when we need rapid, impactful transformation. Cities are increasingly seen as drivers of a carbon neutral future (e.g., Carbon Neutral City Alliance) because through shared policy and knowledge exchange it is possible for successful action in one city to be adopted by others, creating scalable and rapid change. Glasgow is a model city to lead innovation because it has the UK's most ambitious carbon neutrality target of 2030; has challenging social and environmental inequities that will need to co-benefit from proposed solutions; and is due to host COP26 in 2021. Making meaningful, lasting change requires a commitment to the environment that embeds sustainability across major policy decisions and empowers communities as stewards of their local places. In GALLANT, we seek to work with local partners and communities to transform the city into a thriving place for people and nature. Our overarching goal is to implement a systems-based science approach to solve five environmental problems that will accelerate Glasgow's ability to adapt to and manage climate change. The approach integrates natural science and social science disciplines, putting data at the heart of decision-making. We will create the Glasgow Living Lab, delivering a framework that will be readily deployable to solve emerging environmental problems that show how academic, public and private sectors can act together to make progress. The five environmental solutions that we have prioritised with Glasgow City Council are: 1. Working to transform urban river-edge land-use governance to create functional floodplains and new accessible green spaces for community use. 2. Working to deliver biodiversity benefits from green infrastructure throughout Glasgow, restoring and connecting habitats using nature-based solutions, and matching ecosystem service demand with provision. 3. Working to turn vacant, derelict, and polluted land into spaces for carbon sequestration and pollution remediation that can be returned to communities in line with local needs. 4. Working to make the most of current and planned infrastructure by understanding community perceptions of active and safe travel, use these to increase inclusive urban active travel and mobility improving air quality and reducing CO2 emissions . 5. Working to maximise the value of Glasgow green-blue-grey spaces as a Smart Local Energy System that bring heat to some of the most deprived areas of Glasgow.

Supervision

Ph.D. students 

Alexander Elliot (Graduated)

Greame Hunt (Graduated)

Loisious Christodoulou (Graduated)

Katherine Sugar 

Skriptyan Syuhri

Dorota Budzin

Eftychia Korsari

Hanna Rose

 

  • Budzyn, Dorota
    Compliant Mechanisms in Lunar Surface Exploration: Design and Technology Considerations for Dust Mitigation Management
  • Jimenez Cuesta, Claudia
    Shock-Boundary Layer Interactions (SBLI) on Spacecraft Structures During Landings
  • Koursari, Eftychia
    Bridge Scour: Monitoring, Prediction and Remediation
  • Li, Muchen
    Self-Adaptive/Morphing Airfoil Design for HALE-UAVs in Complex Flow Fields
  • Nibbs, William
    Urban planning of thermal energy storage systems in subsurface common pool resources: Assessing externalities and quantifying uncertainties

Teaching

Dynamics M5

Vibration 4

Engineering Skills 1

Research datasets

Jump to: 2023 | 2020 | 2019
Number of items: 3.

2023

Martinelli, C., Coraddu, A. and Cammarano, A. (2023) Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: Advantages and limitations. [Data Collection]

2020

Zhdanov, O., Blatt, M. , Cammarano, A. , Zare-Behtash, H. and Busse, A. (2020) Multiple resonant frequency dynamic tests on Arabidopsis stem segments. [Data Collection]

2019

Christodoulou, L. , Karimi, N. , Cammarano, A. , Paul, M. and Navarro-Martinez, S. (2019) State prediction of an entropy wave advecting through a turbulent channel flow. [Data Collection]

This list was generated on Wed Sep 27 12:59:20 2023 BST.