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Numerical integration of an elasto-plastic critical state model for soils under unsaturated conditions (2021)
Journal Article
Lloret-Cabot, M., Wheeler, S. J., Gens, A., & Sloan, S. W. (2021). Numerical integration of an elasto-plastic critical state model for soils under unsaturated conditions. Computers and Geotechnics, 137, Article 104299. https://doi.org/10.1016/j.compgeo.2021.104299

This paper presents the complete set of incremental equations for the numerical integration of the Glasgow Coupled Model (GCM) and a comprehensive algorithm for its numerical integration. The incremental formulation proposed is expressed in terms of... Read More about Numerical integration of an elasto-plastic critical state model for soils under unsaturated conditions.

Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity (2021)
Journal Article
Deakin, M., Bloomfield, H., Greenwood, D., Sheehy, S., Walker, S., & Taylor, P. C. (2021). Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity. Applied Energy, 298, https://doi.org/10.1016/j.apenergy.2021.117261

This paper explores the impacts of decarbonization of heat on demand and subsequently on the generation capacity required to secure against system adequacy standards. Gas demand is explored as a proxy variable for modelling the electrification of hea... Read More about Impacts of heat decarbonization on system adequacy considering increased meteorological sensitivity.

Quasi-optimal mesh sequence construction through Smoothed Adaptive Finite Element Methods (2021)
Journal Article
Mulita, O., Giani, S., & Heltai, L. (2021). Quasi-optimal mesh sequence construction through Smoothed Adaptive Finite Element Methods. SIAM Journal on Scientific Computing, 43(3), A2211-A2241. https://doi.org/10.1137/19m1262097

We propose a new algorithm for Adaptive Finite Element Methods (AFEMs) based on smoothing iterations (S-AFEM), for linear, second-order, elliptic partial differential equations (PDEs). The algorithm is inspired by the ascending phase of the V-cycle m... Read More about Quasi-optimal mesh sequence construction through Smoothed Adaptive Finite Element Methods.

A comparative study on a complex URM building: part II-issues on modelling and seismic analysis through continuum and discrete-macroelement models (2021)
Journal Article
Castellazzi, G., Panto, B., Occhipinti, G., Talledo, D., Berto, L., & Camata, G. (2022). A comparative study on a complex URM building: part II-issues on modelling and seismic analysis through continuum and discrete-macroelement models. Bulletin of Earthquake Engineering, 20, 2159-2185. https://doi.org/10.1007/s10518-021-01147-4

The paper presents the comparison of the results obtained on a masonry building by nonlinear static analysis using different software operating in the field of continuum and discrete-macroelement modeling. The structure is inspired by an actual build... Read More about A comparative study on a complex URM building: part II-issues on modelling and seismic analysis through continuum and discrete-macroelement models.

Mitigating the impact of the static and cyclic loading on loose coastal saturated sands utilizing a waterproof and super-fast curing polymer (2021)
Journal Article
Banitalebi Dehkordi, M., Rowshanzamir, M., Hejazi, S. M., Pishehvarzad, N., & Hashemolhosseini, H. (2021). Mitigating the impact of the static and cyclic loading on loose coastal saturated sands utilizing a waterproof and super-fast curing polymer. Soil Dynamics and Earthquake Engineering, 148, Article 106838. https://doi.org/10.1016/j.soildyn.2021.106838

According to the dramatic increase in construction near loose coastal saturated soils, stabilizing these soils due to saturation conditions has always faced challenges. The main purpose of this investigation is to assess the static and dynamic perfor... Read More about Mitigating the impact of the static and cyclic loading on loose coastal saturated sands utilizing a waterproof and super-fast curing polymer.

Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines (2021)
Journal Article
Xu, L., Wang, Q., Ivrissimtzis, I., & Li, S. (2022). Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines. Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems, 5(1), Article 011004. https://doi.org/10.1115/1.4051222

The operation and maintenance costs of wind farms are always high due to high labor costs and the high replacement cost of parts. Thus, it is of great importance to have real-time monitoring and an early fault diagnostic system to prevent major event... Read More about Early Fault Diagnostic System for Rolling Bearing Faults in Wind Turbines.

Predictive and prescriptive analytics in transportation geotechnics: Three case studies (2021)
Journal Article
Tinoco, J., Parente, M., Gomes Correia, A., Cortez, P., & Toll, D. (2021). Predictive and prescriptive analytics in transportation geotechnics: Three case studies. Transportation Engineering, 5, Article 100074. https://doi.org/10.1016/j.treng.2021.100074

Transportation infrastructure is of paramount importance for any country. The construction, management and maintenance of this infrastructure is a complex task that requires a significant amount of resources (e.g., human work equipment, materials, ma... Read More about Predictive and prescriptive analytics in transportation geotechnics: Three case studies.

Pseudospectral methods provide fast and accurate solutions for the horizontal infiltration equation (2021)
Journal Article
Mathias, S. A., & Sander, G. C. (2021). Pseudospectral methods provide fast and accurate solutions for the horizontal infiltration equation. Journal of Hydrology, 598, Article 126407. https://doi.org/10.1016/j.jhydrol.2021.126407

An extremely fast and accurate pseudospectral numerical method is presented, which can be used in inverse methods for estimating soil hydraulic parameters from horizontal infiltration or desorption experiments. Chebyshev polynomial dierentiation in c... Read More about Pseudospectral methods provide fast and accurate solutions for the horizontal infiltration equation.

Transmission loss estimation for ephemeral sand rivers in Southern Africa (2021)
Journal Article
Mathias, S. A., Reaney, S. M., & Kenabatho, P. K. (2021). Transmission loss estimation for ephemeral sand rivers in Southern Africa. Journal of Hydrology, 600, Article 126487. https://doi.org/10.1016/j.jhydrol.2021.126487

Ephemeral sand rivers represent an important water resource in Southern Africa. These rivers only flow for a few days in a year. However, much of this water infiltrates the underlying river bed sediments where it is protected from evaporation and uti... Read More about Transmission loss estimation for ephemeral sand rivers in Southern Africa.

QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks (2021)
Journal Article
Alnasser, A., Sun, H., & Jiang, J. (2022). QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems, 23(7), 8223-8233. https://doi.org/10.1109/tits.2021.3076901

Intelligent Transportation System (ITS) could facilitate communications among various road entities to improve the driver's safety and driving experience. These communications are called Vehicle-to-Everything (V2X) communications that can be supporte... Read More about QoS-Balancing Algorithm for Optimal Relay Selection in Heterogeneous Vehicular Networks.

Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation (2021)
Journal Article
Heron, J. W., Sun, H., Alizadeh‐Mousavi, O., & Crossland, A. (2021). Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation. IET Smart Grid, 4(6), 561-581. https://doi.org/10.1049/stg2.12041

Growing penetration of Electric Vehicles (EV) and Distributed Generation (DG) is driving sharper peaks in demand and supply, which, if poorly managed, manifest as over- or undervoltage and disrupt grid service quality. Smart charging schemes reschedu... Read More about Key performance‐cost tradeoffs in smart electric vehicle charging with distributed generation.

Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules (2021)
Journal Article
Vissol-Gaudin, E., Pearson, C., Groves, C., Zeze, D. A., Cantiello, H. F., Cantero, M. D. R., & Petty, M. C. (2021). Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules. Scientific Reports, 11, Article 10776. https://doi.org/10.1038/s41598-021-90260-0

We report on the electrical behaviour of thin films of bovine brain microtubules (MTs). For samples in both their dried and hydrated states, the measured currents reveal a power law dependence on the applied DC voltage. We attribute this to the injec... Read More about Electrical behaviour and evolutionary computation in thin films of bovine brain microtubules.

Wideband Circular Polarized Dielectric Resonator Antenna Array for Millimeter-Wave Applications (2021)
Journal Article
Kesavan, A., Al-Hassan, M., Ben Mabrouk, I., & Denidni, T. A. (2021). Wideband Circular Polarized Dielectric Resonator Antenna Array for Millimeter-Wave Applications. Sensors, 21(11), https://doi.org/10.3390/s21113614

A novel circular polarized dielectric antenna array (DRA) for millimeter-wave applications at 30 GHz is presented in this paper. The unit element array is a flower-shaped DRA fed with a cross slot. To obtain circular polarization, a sequential networ... Read More about Wideband Circular Polarized Dielectric Resonator Antenna Array for Millimeter-Wave Applications.

Continuous Droplet-Actuating Platforms via an Electric Field Gradient: Electrowetting and Liquid Dielectrophoresis (2021)
Journal Article
Frozanpoor, I., Cooke, M. D., Ambukan, V., Gallant, A. J., & Balocco, C. (2021). Continuous Droplet-Actuating Platforms via an Electric Field Gradient: Electrowetting and Liquid Dielectrophoresis. Langmuir, 37(21), 6414-6422. https://doi.org/10.1021/acs.langmuir.1c00329

This work develops a technology for actuating droplets of any size without the requirement for high voltages or active control systems, which are typically found in competitive systems. The droplet actuation relies on two microelectrodes separated by... Read More about Continuous Droplet-Actuating Platforms via an Electric Field Gradient: Electrowetting and Liquid Dielectrophoresis.

DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC (2021)
Journal Article
Li, H., Fang, F., & Ding, Z. (2021). DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC. Entropy, 23(5), Article 613. https://doi.org/10.3390/e23050613

Multi-access edge computing (MEC) and non-orthogonal multiple access (NOMA) are regarded as promising technologies to improve the computation capability and offloading efficiency of mobile devices in the sixth-generation (6G) mobile system. This pape... Read More about DRL-Assisted Resource Allocation for NOMA-MEC Offloading with Hybrid SIC.

Improving human behaviour in macroscale city evacuation agent-based simulation (2021)
Journal Article
Barnes, B., Dunn, S., Pearson, C., & Wilkinson, S. (2021). Improving human behaviour in macroscale city evacuation agent-based simulation. International Journal of Disaster Risk Reduction, 60, Article 102289. https://doi.org/10.1016/j.ijdrr.2021.102289

Disasters affect millions of people annually, causing large social impacts, including high numbers of fatalities, the displacement of communities, and detrimental economic impacts. Emergency professionals recurrently tackle these impacts and therefor... Read More about Improving human behaviour in macroscale city evacuation agent-based simulation.

Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery (2021)
Presentation / Conference Contribution
Sasaki, H., Willcocks, C., & Breckon, T. (2021). Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery. . https://doi.org/10.1109/icpr48806.2021.9413023

Machine learning driven object detection and classification within non-visible imagery has an important role in many fields such as night vision, all-weather surveillance and aviation security. However, such applications often suffer due to the limit... Read More about Data Augmentation via Mixed Class Interpolation using Cycle-Consistent Generative Adversarial Networks Applied to Cross-Domain Imagery.