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Performance Assessment of an Energy Management System for a Home Microgrid with PV Generation (2020)
Journal Article
Elkazaz, M., Sumner, M., Pholboon, S., Davies, R., & Thomas, D. (2020). Performance Assessment of an Energy Management System for a Home Microgrid with PV Generation. Energies, 13(13), https://doi.org/10.3390/en13133436

Home energy management systems (HEMS) are a key technology for managing future electricity distribution systems as they can shift household electricity usage away from peak consumption times and can reduce the amount of local generation penetrating i... Read More about Performance Assessment of an Energy Management System for a Home Microgrid with PV Generation.

Experimental study of thermal fracturing of Hot Dry Rock irradiated by moving laser beam: temperature, efficiency and porosity (2020)
Journal Article
Wang, Y., Jiang, J., Darkwa, J., Xu, Z., Zheng, X., & Zhou, G. (in press). Experimental study of thermal fracturing of Hot Dry Rock irradiated by moving laser beam: temperature, efficiency and porosity. Renewable Energy,

A new laser irradiation fracturing method is employed to crack the Hot Dry Rock (HDR) and variations of rock temperature, specific energy (SE) and modified specific energy (MSE), thermal damages and open porosity of granite samples caused by moving l... Read More about Experimental study of thermal fracturing of Hot Dry Rock irradiated by moving laser beam: temperature, efficiency and porosity.

Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression (2020)
Journal Article
Simeone, A., Woolley, E., Escrig, J., & Watson, N. J. (2020). Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression. Sensors, 20(13), https://doi.org/10.3390/s20133642

Effectively cleaning equipment is essential for the safe production of food but requires a significant amount of time and resources such as water, energy, and chemicals. To optimize the cleaning of food production equipment, there is the need for inn... Read More about Intelligent Industrial Cleaning: A Multi-Sensor Approach Utilising Machine Learning-Based Regression.

Experimental and numerical investigation of interface damage in composite L-angle sections under four-point bending (2020)
Journal Article
Zou, X., Yan, S., Matveev, M., Rouse, J. P., & Jones, I. A. (in press). Experimental and numerical investigation of interface damage in composite L-angle sections under four-point bending. Journal of Composite Materials,

Curved laminates in aero-structures, such as the L-angle sections where webs and flanges meet, are prone to delamination due to high interlaminar stresses in these regions. Some efforts to investigate delamination in these structures can be found in... Read More about Experimental and numerical investigation of interface damage in composite L-angle sections under four-point bending.

Structural and chemical heterogeneity in ancient glass probed using gas overcondensation, X-ray tomography, and solid-state NMR (2020)
Journal Article
Rigby, S. P., Stevens, L., Meersmann, T., Pavlovskaya, G. E., Rees, G. J., Henderson, J., …Fletcher, R. S. (2020). Structural and chemical heterogeneity in ancient glass probed using gas overcondensation, X-ray tomography, and solid-state NMR. Materials Characterization, https://doi.org/10.1016/j.matchar.2020.110467

Rare ancient glasses have complex, multi-scale structures requiring more sophisticated and non-destructive pore characterisation techniques than usual. Homotattic patch models for nitrogen adsorption gave better fits to the isotherm data, more accura... Read More about Structural and chemical heterogeneity in ancient glass probed using gas overcondensation, X-ray tomography, and solid-state NMR.

Large-scale investigation into iceberg-tsunamis generated by various iceberg calving mechanisms (2020)
Journal Article
Heller, V., Attili, T., Chen, F., Gabl, R., & Wolters, G. (2020). Large-scale investigation into iceberg-tsunamis generated by various iceberg calving mechanisms. Coastal Engineering, https://doi.org/10.1016/j.coastaleng.2020.103745

Mass balance analysis of ice sheets is a key component to understand the effects of global warming with iceberg calving as a significant contributor. Calving recently generated tsunamis of up to 50 m in amplitude endangering human beings and coastal... Read More about Large-scale investigation into iceberg-tsunamis generated by various iceberg calving mechanisms.

Achieving Microparticles with Cell‐Instructive Surface Chemistry by Using Tunable Co‐Polymer Surfactants (2020)
Journal Article
Dundas, A. A., Cuzzucoli Crucitti, V., Haas, S., Dubern, J., Latif, A., Romero, M., …Irvine, D. J. (2020). Achieving Microparticles with Cell‐Instructive Surface Chemistry by Using Tunable Co‐Polymer Surfactants. Advanced Functional Materials, https://doi.org/10.1002/adfm.202001821

A flow‐focusing microfluidic device is used to produce functionalized monodisperse polymer particles with surface chemistries designed to control bacterial biofilm formation. This is achieved by using molecularly designed bespoke surfactants synthesi... Read More about Achieving Microparticles with Cell‐Instructive Surface Chemistry by Using Tunable Co‐Polymer Surfactants.

Accurate EELS background subtraction – an adaptable method in MATLAB (2020)
Journal Article
Fung, K. L., Fay, M. W., Collins, S. M., Kepaptsoglou, D. M., Skowron, S. T., Ramasse, Q. M., & Khlobystov, A. N. (2020). Accurate EELS background subtraction – an adaptable method in MATLAB. Ultramicroscopy, 217, https://doi.org/10.1016/j.ultramic.2020.113052

Electron energy-loss spectroscopy (EELS) is a technique that can give useful information on elemental composition and bonding environments. However in practice, the complexity of the background contributions, which can arise from multiple sources, ca... Read More about Accurate EELS background subtraction – an adaptable method in MATLAB.

Defect evolution during high temperature tension-tension fatigue of SLM AISi10Mg alloy by synchrotron tomography (2020)
Journal Article
Bao, J., Wu, S., Withers, P. J., Wu, Z., Li, F., Fu, Y., & Sun, W. (2020). Defect evolution during high temperature tension-tension fatigue of SLM AISi10Mg alloy by synchrotron tomography. Journal of Materials Science and Engineering A, https://doi.org/10.1016/j.msea.2020.139809

Lack of fusion defects and porosity are inevitable characteristics of additive manufacturing and these are expected to play a key role in determining fatigue life and fatigue failure when excluding the influence of inhomogeneous microstructures. This... Read More about Defect evolution during high temperature tension-tension fatigue of SLM AISi10Mg alloy by synchrotron tomography.

Characterising the size and shape of metallic nano-structures by their acoustic vibrations (2020)
Journal Article
Fuentes-Domínguez, R., Naznin, S., Marques, L., Pérez-Cota, F., Smith, R. J., & Clark, M. (2020). Characterising the size and shape of metallic nano-structures by their acoustic vibrations. Nanoscale, https://doi.org/10.1039/d0nr03410j

The characterisation of metallic nano-structures is of great importance as their optical properties are strongly dependent on their size and shape. Inaccurate size or shape characterisation can result in misleading measurements in applications such a... Read More about Characterising the size and shape of metallic nano-structures by their acoustic vibrations.

Advanced parametric louver systems with bi-axis and two-layer designs for an extensive daylighting coverage in a deep-plan office room (2020)
Journal Article
Eltaweel, A., Su, Y., Lv, Q., & Lv, H. (2020). Advanced parametric louver systems with bi-axis and two-layer designs for an extensive daylighting coverage in a deep-plan office room. Solar Energy, 206, 596-613. https://doi.org/10.1016/j.solener.2020.06.035

Advanced daylighting systems have become commonly used in modern architecture for a more sustainable environment. The mainstream of recent daylighting studies focuses not only on the quantity but also the quality of daylight delivered to an interior... Read More about Advanced parametric louver systems with bi-axis and two-layer designs for an extensive daylighting coverage in a deep-plan office room.

A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence (2020)
Journal Article
Yeomans, C. M., Shail, R. K., Grebby, S., Nykänen, V., Middleton, M., & Lusty, P. A. (2020). A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence. Geoscience Frontiers, https://doi.org/10.1016/j.gsf.2020.05.016

Novel mineral prospectivity modelling presented here applies knowledge-driven feature extraction to a data-driven machine learning approach for tungsten mineralisation. The method emphasises the importance of appropriate model evaluation and develops... Read More about A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence.

Modelling decision-making within rail maintenance control rooms (2020)
Journal Article
Dadashi, N., Golightly, D., & Sharples, S. (2020). Modelling decision-making within rail maintenance control rooms. Cognition, Technology and Work, https://doi.org/10.1007/s10111-020-00636-x

This paper presents a cognitive task analysis to derive models of decision-making for rail maintenance processes. Maintenance processes are vital for safe and continuous availability of rail assets and services. These processes are increasingly embra... Read More about Modelling decision-making within rail maintenance control rooms.

The response of framed buildings on raft foundations to tunneling (2020)
Journal Article
Xu, J., Franza, A., & Marshall, A. M. (in press). The response of framed buildings on raft foundations to tunneling. Journal of Geotechnical and Geoenvironmental Engineering,

This paper investigates the response of framed buildings on raft foundations to tunnel construction using geotechnical centrifuge testing. Five framed building models were considered and the influence of building configuration, weight, eccentricity,... Read More about The response of framed buildings on raft foundations to tunneling.

Centrifuge modelling of tunnelling induced ground displacements: pressure and displacement control tunnels (2020)
Journal Article
Marshall, A. M., & Song, G. (2020). Centrifuge modelling of tunnelling induced ground displacements: pressure and displacement control tunnels. Tunnelling and Underground Space Technology, 103, https://doi.org/10.1016/j.tust.2020.103461

Predicting the impact of tunnelling-induced ground movements on existing foundation systems or infrastructure is an important stage during tunnel design or risk assessment processes. Centrifuge modelling has been used extensively as a tool to study s... Read More about Centrifuge modelling of tunnelling induced ground displacements: pressure and displacement control tunnels.

Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications (2020)
Journal Article
Recalde, A. A., Atkin, J. A., & Bozhko, S. V. (2020). Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications. IEEE Transactions on Transportation Electrification, https://doi.org/10.1109/tte.2020.3002875

Aircraft electrification requires novel designs to supply the growing demand for electric power on-board through efficient and reliable production and distribution of electrical energy. Moreover, the aircraft power system will be a key enabler for th... Read More about Optimal Design and Synthesis of MEA Power System Architectures considering Reliability Specifications.

Factors Influencing the Prediction of Pile Driveability Using CPT-Based Approaches (2020)
Journal Article
Prendergast, L. J., Gandina, P., & Gavin, K. (2020). Factors Influencing the Prediction of Pile Driveability Using CPT-Based Approaches. Energies, 13(12), https://doi.org/10.3390/en13123128

This paper investigates the applicability of Cone Penetration Test (CPT)-based axial capacity approaches, used for estimating pile static capacity, to the prediction of pile driveability. An investigation of the influence of various operational param... Read More about Factors Influencing the Prediction of Pile Driveability Using CPT-Based Approaches.

The effect of variable operating parameters for hydrocarbon fuel formation from CO2 by molten salts electrolysis (2020)
Journal Article
Al-Juboori, O., Sher, F., Hazafa, A., Khan, M. K., & Chen, G. Z. (2020). The effect of variable operating parameters for hydrocarbon fuel formation from CO2 by molten salts electrolysis. Journal of Co2 Utilization, 40, https://doi.org/10.1016/j.jcou.2020.101193

The emission of CO2 has been increasing day by day by growing world population, which resulted in the atmospheric and environmental destruction. Conventionally different strategies, including nuclear power and geothermal energy have been adopted to c... Read More about The effect of variable operating parameters for hydrocarbon fuel formation from CO2 by molten salts electrolysis.

Influence of Insulation Thermal Aging on the Temperature Assessment in Electrical Machines (2020)
Journal Article
Madonna, V., Giangrande, P., & Galea, M. (2020). Influence of Insulation Thermal Aging on the Temperature Assessment in Electrical Machines. IEEE Transactions on Energy Conversion, https://doi.org/10.1109/tec.2020.3001053

Thermal modeling and temperature assessment of electrical machines often rely on the use of lumped-parameter thermal networks. A historic limitation of analytical thermal models is their need for an experimental fine-tuning, necessary for selecting t... Read More about Influence of Insulation Thermal Aging on the Temperature Assessment in Electrical Machines.


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