Outputs (249)

A geometrically-exact Finite Element Method for micropolar continua with finite deformations (2023)
Presentation / Conference Contribution
O'Hare, T. J., Gourgiotis, P. A., Coombs, W. M., & Augarde, C. E. (2023, April). A geometrically-exact Finite Element Method for micropolar continua with finite deformations. Paper presented at UKACM 2023, University of Warwick, Coventry, UK

Micropolar theory is a weakly non-local higher-order continuum theory based on the inclusion of independent (micro-)rotational degrees of freedom. Subsequent introduction of couple-stresses and an internal length scale mean the micropolar continuum i... Read More about A geometrically-exact Finite Element Method for micropolar continua with finite deformations.

Cone penetration tests (CPTs) in bi-phase soils: A material point approach with rigid body interaction (2023)
Presentation / Conference Contribution
Bird, R., Pretti, G., Coombs, W. M., Augarde, C. E., Sharif, Y., Brown, M., …Johnson, K. (2023, April). Cone penetration tests (CPTs) in bi-phase soils: A material point approach with rigid body interaction. Paper presented at UK Association for Computational Mechanics 2023 (UKACM 2023), University of Warwick, UK

Cone Penetration Tests (CPTs) can be used to determine in-situ material properties and represent a practical choice for site investigation offshore, especially for linear infrastructure, such as Offshore Wind export cables. Information gained from CP... Read More about Cone penetration tests (CPTs) in bi-phase soils: A material point approach with rigid body interaction.

The solution of the wave-diffusion equation by a Caputo derivative-based Finite Element Method formulation (2023)
Journal Article
Correa, R., Carrer, J., Solheid, B., Trevelyan, J., Arndt, M., & Machado, R. (2023). The solution of the wave-diffusion equation by a Caputo derivative-based Finite Element Method formulation. Journal of the Brazilian Society of Mechanical Sciences and Engineering, 45(5), Article 261. https://doi.org/10.1007/s40430-023-04175-0

A Finite Element Method approach is presented for the solution of the two-dimensional wave-diffusion equation. The fractional time derivative is considered as a Caputo derivative. Houbolt and Newmark methods are employed for the time-marching process... Read More about The solution of the wave-diffusion equation by a Caputo derivative-based Finite Element Method formulation.

A Battery-less NFC Sensor Transponder for Cattle Health Monitoring (2023)
Presentation / Conference Contribution
Gawade, D. R., Roy Simorangkir, B. V. B., Kumar, S., Pigeon, M., Belcastro, M., Rather, N., Buckley, J. L., & O’Flynn, B. (2023, January). A Battery-less NFC Sensor Transponder for Cattle Health Monitoring. Presented at 2023 IEEE Applied Sensing Conference (APSCON), Bengaluru, India

This paper presents the design and assessment of a battery-less NFC sensor transponder to measure biomarkers in the tear fluid of cattle eyes. A battery-less NFC temperature sensor prototype with a diameter of 22 mm is developed for the feasibility a... Read More about A Battery-less NFC Sensor Transponder for Cattle Health Monitoring.

Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation (2023)
Journal Article
Wei, Z., Li, B., & Guo, W. (2023). Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation. IEEE Transactions on Information Forensics and Security, 18, 2368-2381. https://doi.org/10.1109/tifs.2023.3266705

The development of reconfigurable intelligent surfaces (RIS) has recently advanced the research of physical layer security (PLS). Beneficial impacts of RIS include but are not limited to offering a new degree-of-freedom (DoF) for key-less PLS optimiz... Read More about Adversarial Reconfigurable Intelligent Surface Against Physical Layer Key Generation.

Techno-economic analysis of a fuel-cell driven integrated energy hub for decarbonising transportation (2023)
Journal Article
Samanta, S., Roy, D., Roy, S., Smallbone, A., & Roskilly, A. P. (2023). Techno-economic analysis of a fuel-cell driven integrated energy hub for decarbonising transportation. Renewable and Sustainable Energy Reviews, 179, Article 113278. https://doi.org/10.1016/j.rser.2023.113278

In this study an advanced integrated multigeneration energy hub is conceptualized combining solid oxide fuel cell (SOFC), molten carbonate fuel cell (MCFC), proton exchange membrane (PEM) electrolyser and methanol production unit. Using natural gas a... Read More about Techno-economic analysis of a fuel-cell driven integrated energy hub for decarbonising transportation.

Novel adaptive finite volume method on unstructured meshes for time-domain wave scattering and diffraction (2023)
Journal Article
Ghoudi, T., Mohamed, M. S., & Seaid, M. (2023). Novel adaptive finite volume method on unstructured meshes for time-domain wave scattering and diffraction. Computers and Mathematics with Applications, 141, https://doi.org/10.1016/j.camwa.2023.03.025

A new adaptive finite volume method is proposed for the simulation of the wave problems in the time domain. The transient wave equations are discretized in time and space. A vertex-centered finite volume method is constructed with both cell-centered... Read More about Novel adaptive finite volume method on unstructured meshes for time-domain wave scattering and diffraction.

Joint Mobility Control and MEC Offloading for Hybrid Satellite-Terrestrial-Network-Enabled Robots (2023)
Journal Article
Wei, P., Feng, W., Chen, Y., Ge, N., & Wang, C.-X. (online). Joint Mobility Control and MEC Offloading for Hybrid Satellite-Terrestrial-Network-Enabled Robots. IEEE Transactions on Wireless Communications, 22(11), 8483-8497. https://doi.org/10.1109/TWC.2023.3263599

Benefiting from the fusion of communication and intelligent technologies, network-enabled robots have become important to support future machine-assisted and unmanned applications. To provide high-quality services for robots in wide areas, hybrid sat... Read More about Joint Mobility Control and MEC Offloading for Hybrid Satellite-Terrestrial-Network-Enabled Robots.

Scarce data driven deep learning of drones via generalized data distribution space (2023)
Journal Article
Li, C., Sun, S. C., Wei, Z., Tsourdos, A., & Guo, W. (2023). Scarce data driven deep learning of drones via generalized data distribution space. Neural Computing and Applications, 35(20), 15095-15108. https://doi.org/10.1007/s00521-023-08522-z

Increased drone proliferation in civilian and professional settings has created new threat vectors for airports and national infrastructures. The economic damage for a single major airport from drone incursions is estimated to be millions per day. Du... Read More about Scarce data driven deep learning of drones via generalized data distribution space.

An optimization method for stochastic reconstruction from empirical data - A limestone rock strain fields study-case using digital image correlation data (2023)
Journal Article
Guerra, N. B., Pires, A. V., Matthews, S., Szyniszewski, S., & Vieira Jr., L. (2023). An optimization method for stochastic reconstruction from empirical data - A limestone rock strain fields study-case using digital image correlation data. MethodsX, 10, Article 102141. https://doi.org/10.1016/j.mex.2023.102141

Stochastic field reconstruction is a crucial technique to improve the accuracy of modern rock simulation. It allows explicit modelling of field conditions, often employed in uncertainty quantification analysis and upsampling and upscaling procedures.... Read More about An optimization method for stochastic reconstruction from empirical data - A limestone rock strain fields study-case using digital image correlation data.