Journal and Book Publications

Balatti D., Khodaparast H. H., Friswell M. I., Manolesos M., Amoozgar M.. 2021. The effect of folding wingtips on the worst-case gust loads of a simplified aircraft model. IMechE Part G: Journal of Aerospace Engineering.
Balatti D., Khodaparast H. H., Friswell M. I., Manolesos M., Castrichini A.. 2020. Aircraft turbulence and gust identification using simulated in-flight data. Aerospace Science and Technology.
Liu X, Wagg DJ. 2021. Volume I. Proceedings of the First International Nonlinear Dynamics Conference (NODYCON) 2019.10.1007/978-3-030-34713-0_3
Chakraborty S, Adhikari S. 2021. Machine learning based digital twin for dynamical systems with multiple time-scales. Computers & Structures. 243.10.1016/j.compstruc.2020.106410
Chakraborty S, Adhikari S, Ganguli R. 2021. The role of surrogate models in the development of digital twins of dynamic systems. Applied Mathematical Modelling.10.1016/j.apm.2020.09.037
Gardner P, Bull L, Gosliga J, Dervilis N, Worden K. 2021. Foundations of population-based SHM, Part III: Heterogeneous populations – Mapping and transfer. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107142
Chatterjee, T., Friswell, M.I., Adhikari, S. Chowdhury, R.. 2021. A global two-layer meta-model for response statistics in robust design optimization. Engineering Optimization.https://doi.org/10.1080/0305215X.2020.1861262
Taghipour, J, Khodaparast, H.H., Friswell, M.I., H. Jalali,Madinei, H., Jamia N. 2021. On the sensitivity of the equivalent dynamic stiffness mapping techniaue to measurement noise and modelling error. Applied Mathematical Modelling.10.1016/j.apm.2020.07.062
Bull L.A., Gardner P., Rogers T.J., Cross E.J., Dervilis N. and Worden K.. 2021. Probabilistic Inference for Structural Health Monitoring: New Modes of Learning from Data. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.10.1061/AJRUA6.0001106
Fuentes, R., Nayek R., Gardner P., Dervilis N., Rogers T.J., Worden K. and Cross E.J.. 2021. Equation discovery for nonlinear dynamical systems: a Bayesian viewpoint. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107528
Gosliga, J. et al. 2021. Towards population-based structural health monitoring, Part II: Structures as graphs, networks and communities. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107144
Gardner, P. et al. 2021. Learning model discrepancy: a Gaussian process and sampling-based approach. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107381
Gardner, P. et al. 2021. Towards population-based structural health monitoring, Part III: Transfer and mapping. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107142
Bull, L. A, P. Gardner, J. Gosliga, N. Dervilis, E. Papatheou, A. E. Maguire, C. Campos, T. J. Rogers, E. J. Cross, K. Worden. 2021. Towards population-based structural health monitoring, Part I: Homogeneous populations and forms.. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.107141
Chatterjee T, D. Karlicic, S. Adhikari, M.I. Friswell. 2021. Gaussian Process Assisted Stochastic Dynamic Analysis of Near-Periodic Structures. Mechanical Systems and Signal Processing.https://doi.org/10.1016/j.ymssp.2020.107218
Chatterjee T, S. Adhikari, Michael I. Friswell . 2021. Multilevel Decomposition Framework for Reliability Assessment of Assembled Stochastic Linear Structural Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.10.1061/AJRUA6.0001119
Gardner P, Bull L, Dervilis N, Worden K. 2020. Kernelised Bayesian Transfer Learning for Population-Based Structural Health Monitoring. Model Validation and Uncertainty Quantification, Volume 3, Proceedings of the 38th IMAC, A Conference and Exposition on Structural Dynamics 2020 .10.1007/978-3-030-47638-0_22
Gray N, Calleja D, Wimbush A, Miralles-Dolz E, Gray A, De Angelis M, Derrer-Merk E, Oparaji B, Stepanov V, Clearkin L, Ferson S. 2020. Is “no test is better than a bad test”? Impact of diagnostic uncertainty in mass testing on the spread of COVID-19. PLOS ONE.10.1371/journal.pone.0240775
Ruffini V, Szczyglowski C, Barton D, Lowenberg M, Neild S. 2020. Real-Time Hybrid Testing of Strut-Braced Wing Under Aerodynamic Loading Using an Electrodynamic Actuator. Experimental Techniques.10.1007/s40799-020-00394-5
Worden K, Cross E, Barthorpe R, Wagg D, Gardner P. 2020. On Digital Twins, Mirrors, and Virtualizations: Frameworks for Model Verification and Validation. ASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg.10.1115/1.4046740
Nicolaidou E, TL Hill, SA Neild. 2020. Indirect reduced-order modelling: Using nonlinear manifolds to conserve kinetic energy. Proc. Roy Soc. A. Mathematical, physical, and engineering sciences.10.1098/rspa.2020.0589
Gardner P., Dal Borgo M., Ruffini V., Hughes A.J., Zhu Y. and Wagg D.J.. 2020. Towards the development of an operational digital twin. Vibration.10.3390/vibration3030018
Worden K., Bull L.A., Gardner P., Gosliga J., Rogers T.J., Cross E.J., Papatheou E., Lin W. and Dervilis N.. 2020. A Brief Introduction to Recent Developments in Population-Based Structural Health Monitoring. Frontiers in Built Environment.10.3389/fbuil.2020.00146
Fuentes R., Gardner P., Mineo C., Rogers T.J., Pierce S.G., Worden K., Dervilis N., and Cross E.J.. 2020. Autonomous ultrasonic inspection using Bayesian optimisation and robust outlier analysis. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.106897
Shaw, A.D.; Hill, T.L.; Neild, S.A.; Friswell, M.I.. 2020. Multiharmonic Resonance Control Testing of an Internally Resonant Structure . Vibration.10.3390/vibration3030017
Y Zhu, P Gardener, R Fuentes, D Wagg. 2020. Robust equation discovery considering model discrepancy: a sparse Bayesian and Gaussian process approach.. Mechanical Systems and Signal Processing.
Gardner P., Fuentes R., Dervilis N., Mineo C., Pierce S.G., Cross E.J., and Worden K.. 2020. Machine learning at the interface of SHM and NDE. Proc. Roy Soc. A. Mathematical, physical, and engineering sciences.10.1098/rsta.2019.0581
Zhu Y, Au S. 2020. Bayesian data driven model for uncertain modal properties identified from operational modal analysis. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2019.106511
Sadeghi J, de Angelis M, Patelli E. 2020. Robust propagation of probability boxes by interval predictor models. Structural Safety.10.1016/j.strusafe.2019.101889
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 J Risk and Uncert in Engrg Sys Part B Mech Engrg.10.1115/1.4046739
Jamia N, H. Jalali, J. Taghipour, M.I. Friswell, H.H. Khodaparast. 2020. An Equivalent Model of a Nonlinear Bolted Flange Joint. Mechanical Systems and Signal Processing.https://doi.org/10.1016/j.ymssp.2020.107507
Rogers T, Gardner P, Dervilis N, Worden K, Maguire A, Papatheou E, Cross E. 2020. Probabilistic modelling of wind turbine power curves with application of heteroscedastic Gaussian Process regression. Renewable Energy.10.1016/j.renene.2019.09.145
Nicolaidou E, Melanthuru VR, Hill TL, Neild SA. 2020. Accounting for Quasi-Static Coupling in Nonlinear Dynamic Reduced-Order Models. Journal of Computational and Nonlinear Dynamics.10.1115/1.4046897
Gardner P, Liu X, Worden K. 2020. On the application of domain adaptation in structural health monitoring. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2019.106550
Gardner P, Lord C, Barthorpe R. 2020. Bayesian history matching for structural dynamics applications. Mechanical Systems and Signal Processing.10.1016/j.ymssp.2020.106828
Ganguli R, Adhikari S. 2020. The digital twin of discrete dynamic systems: Initial approaches and future challenges. Applied Mathematical Modelling.10.1016/j.apm.2019.09.036
Elliott Stephen J, Jin Zhang, Chung Kwan Lai, and Jordan Cheer. 2020. Superposition of the uncertainties in acoustic responses and the robust design of active control systems . The Journal of the Acoustical Society of America 148, 1415 (2020); .doi: 10.1121/10.0001965
Dal Borgo, M, Elliott S, Ghandchi Tehrani M, Stothers IM. 2020. Virtual sensing of wheel direction from redundant sensors in aircraft ground-steering systems. Mechanical Systems and Signal Processing.f3b9794e-02e6-42ed-b45c-ec2129254363
Chatterjee T, S. Adhikari, Michael I. Friswell . 2020. Uncertainty propagation in dynamic sub-structuring by model reduction integrated domain decomposition. Computer Methods in Applied Mechanics and Engineering.10.1016/j.cma.2020.113060
Beregi S, Barton DA, Rezgui D, Neild S. 2020. Improving robustness to noise of nonlinear parameter identification using control-based continuation. Mechanical Systems and Signal Processing.Not available
Barthorpe R. 2020. Model Validation and Uncertainty Quantification, Volume 3 – Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics 2019. .10.1007/978-3-030-12075-7_30
Hong, D. T. Hill and S. A. Neild. 2020. Identifying phase-varying periodic behaviour in conservative nonlinear systems. Proc. Roy. Soc. A. Mathematical, physical, and engineering sciences.10.1098/rspa.2020.0028
Liu X, Wagg DJ. 2019. Simultaneous normal form transformation and model-order reduction for systems of coupled nonlinear oscillators.. Proceedings. Mathematical, physical, and engineering sciences.10.1098/rspa.2019.0042
Gardner P, Lord C, Barthorpe R. 2019. A Unifying Framework for Probabilistic Validation Metrics. Journal of Verification, Validation and Uncertainty Quantification.10.1115/1.4045296
Hong D, Hill TL, Neild SA. 2019. Conditions for the existence of isolated backbone curves.. Proceedings. Mathematical, physical, and engineering sciences.10.1098/rspa.2019.0374
Sadeghi J, de Angelis M, Patelli E. 2019. Efficient training of interval Neural Networks for imprecise training data.. Neural networks : the official journal of the International Neural Network Society.10.1016/j.neunet.2019.07.005
Tartaruga I, Elliott A, Hill T, Neild S, Cammarano A. 2019. The effect of nonlinear cross-coupling on reduced-order modelling. International Journal of Non-Linear Mechanics.10.1016/j.ijnonlinmec.2019.05.006
Ying Zhang S, Li Y, Jiang J, Neild S, Macdonald J. 2019. A methodology for identifying optimum vibration absorbers with a reaction mass. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.10.1098/rspa.2019.0232
Wagg (D.J.). 2018. The Digital Twin for Engineering Applications. Bench Mark, The International Magazine for Engineering Designers & Analysts from NAFEMS.

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