All Outputs (27)

Micromechanical modeling of longitudinal compression behavior and failure mechanism of unidirectional carbon fiber reinforced aluminum composites involving initial fiber misalignment (2024)
Journal Article
Jiang, W., Wang, Z., Liu, Q., Gao, Y., Wu, Z., Xiong, B., …Yao, Y. (in press). Micromechanical modeling of longitudinal compression behavior and failure mechanism of unidirectional carbon fiber reinforced aluminum composites involving initial fiber misalignment. Fatigue and Fracture of Engineering Materials and Structures, https://doi.org/10.1111/ffe.14368

A micromechanical model with realistic initial fiber misalignment (IFM) was developed to simulate the longitudinal compression behavior of unidirectional carbon fiber/aluminum composites. The matrix and fiber were modeled using ductile damage law and... Read More about Micromechanical modeling of longitudinal compression behavior and failure mechanism of unidirectional carbon fiber reinforced aluminum composites involving initial fiber misalignment.

Bilinear stiffness and bimodular Poisson's ratio in cylindrical sinusoidal lattices through topology morphing (2024)
Journal Article
Sundararaman, V., O'Donnell, M. P., Chenchiah, I. V., & Weaver, P. M. (2024). Bilinear stiffness and bimodular Poisson's ratio in cylindrical sinusoidal lattices through topology morphing. Materials and Design, 242, Article 112980. https://doi.org/10.1016/j.matdes.2024.112980

Bilinear elastic behaviour allows structural designs to respond in either a stiff or compliant manner depending on the load. Here a cylindrical sinusoidal lattice structure is described that stiffens beyond a certain load. When subjected to axial com... Read More about Bilinear stiffness and bimodular Poisson's ratio in cylindrical sinusoidal lattices through topology morphing.

A novel robust imitation learning framework for dual-arm object-moving tasks (2024)
Journal Article
Wang, W., Zeng, C., Lu, Z., & Yang, C. (in press). A novel robust imitation learning framework for dual-arm object-moving tasks. IEEE Transactions on Industrial Electronics, 1-9. https://doi.org/10.1109/tie.2024.3387098

Drawing inspiration from the mechanism of human skill acquisition, imitation learning has demonstrated remarkable performance. Over recent years, modelbased imitation learning combined with machine learning and control theory has been continuously de... Read More about A novel robust imitation learning framework for dual-arm object-moving tasks.

Changing conditions: Global warming-related hazards and vulnerable rural populations in Mediterranean Europe (2024)
Journal Article
Graus, S., Ferreira, T. M., Vasconcelos, G., & Ortega, J. (2024). Changing conditions: Global warming-related hazards and vulnerable rural populations in Mediterranean Europe. Urban Science, 8(2), Article 42. https://doi.org/10.3390/urbansci8020042

Human-induced climate change has profound effects on extreme events, particularly those linked to global warming, such as heatwaves, droughts, and wildfires. These events disrupt ecosystems, emphasizing the imperative to understand the interactions a... Read More about Changing conditions: Global warming-related hazards and vulnerable rural populations in Mediterranean Europe.

Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls (2024)
Journal Article
Karaki, G., Hawileh, R. A., & Naser, M. Z. (in press). Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls. Journal of Structural Fire Engineering, https://doi.org/10.1108/JSFE-06-2023-0027

Purpose: This study examines the effect of temperature-dependent material models for normal-strength (NSC) and high-strength concrete (HSC) on the thermal analysis of reinforced concrete (RC) walls. Design/methodology/approach: The study performs an... Read More about Impact of the variability of material constitutive models on the thermal response of reinforced concrete walls.

Development of low carbon concrete and prospective of geopolymer concrete using lightweight coarse aggregate and cement replacement materials (2024)
Journal Article
Nukah, P. D., Abbey, S. J., Booth, C. A., & Oti, J. (2024). Development of low carbon concrete and prospective of geopolymer concrete using lightweight coarse aggregate and cement replacement materials. Construction and Building Materials, 428, Article 136295. https://doi.org/10.1016/j.conbuildmat.2024.136295

The use of Ground Granulated Blast-furnace Slag (GGBS) as an alternative cement replacement material in combination with conventional coarse aggregate have been successful in the production of near green concrete. Undoubtedly, GGBS has exhibited good... Read More about Development of low carbon concrete and prospective of geopolymer concrete using lightweight coarse aggregate and cement replacement materials.

An experimental investigation of tensile residual strength of repaired composite laminates after low velocity impact (2024)
Journal Article
Damghani, M., Atkinson, G. A., Thapa, P., Joy, J., Monaghan, M., Maleki, P., & Ward, C. (2024). An experimental investigation of tensile residual strength of repaired composite laminates after low velocity impact. Thin-Walled Structures, 200, Article 111896. https://doi.org/10.1016/j.tws.2024.111896

Low Velocity Impact (LVI) of Carbon Fibre Reinforced Polymer (CFRP) components are common during the manufacture and in-service life of aerostructures. However, the resulting effect on structural mechanical properties has not been extensively studied... Read More about An experimental investigation of tensile residual strength of repaired composite laminates after low velocity impact.

Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance (2024)
Journal Article
Gao, J., Han, Q., Soe, S., Wang, L., Zhang, Z., Zhang, H., …Yang, S. (2024). Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance. Materials Science and Engineering: A, 900, Article 146496. https://doi.org/10.1016/j.msea.2024.146496

Cu/Ni heterogeneous materials integrate excellent thermal conductivity and high-temperature mechanical properties, enabling them to be widely used in the aerospace domain. Differences in the thermal and physical properties of the Cu and Ni materials,... Read More about Laser additive manufacturing of TiB2-modified Cu15Ni8Sn/GH3230 heterogeneous materials: Processability, interfacial microstructure and mechanical performance.

BioTacTip: A soft biomimetic optical tactile sensor for efficient 3D contact localization and 3D force estimation (2024)
Journal Article
Li, H., Nam, S., Lu, Z., Yang, C., Psomopoulou, E., & Lepora, N. F. (2024). BioTacTip: A soft biomimetic optical tactile sensor for efficient 3D contact localization and 3D force estimation. IEEE Robotics and Automation Letters, 9(6), 5314-5321. https://doi.org/10.1109/lra.2024.3387111

In this letter, we introduce a new soft biomimetic optical tactile sensor based on mimicking the interlocking structure of the epidermal-dermal boundary: the BioTacTip. The primary sensing unit comprises a sharp white tip surrounded by four black cov... Read More about BioTacTip: A soft biomimetic optical tactile sensor for efficient 3D contact localization and 3D force estimation.

EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning (2024)
Journal Article
Miles, G., Smith, M., Zook, N., & Zhang, W. (2024). EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning. Computational and Structural Biotechnology Journal, 24, 264-280. https://doi.org/10.1016/j.csbj.2024.03.014

Alzheimer's Disease is the most prevalent neurodegenerative disease, and is a leading cause of disability among the elderly. Eye movement behaviour demonstrates potential as a non-invasive biomarker for Alzheimer's Disease, with changes detectable at... Read More about EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning.

How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era? (2024)
Journal Article
Sha, H., Haouari, R., Singh, M. K., Papazikou, E., Quddus, M., Chaudhry, A., …Morris, A. (2024). How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era?. European Transport Research Review, 16(1), Article 18. https://doi.org/10.1186/s12544-023-00628-8

On-street parking is a commonly used form of parking facility as part of transportation infrastructure. However, the emergence of connected and autonomous vehicles (CAVs) is expected to significantly impact parking in the future. This study aims to i... Read More about How can on-street parking regulations affect traffic, safety, and the environment in a cooperative, connected, and automated era?.

All shades of blue (2024)
Journal Article
Bodman, S. (2024). All shades of blue. Printmaking Today, 33(129), 22-23

Artists’ books by Roelof Bakker and Caren Florance speak of loss through colour and texture, visual allusion and sensory touch, writes Sarah Bodman

Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review (2024)
Journal Article
Ekechukwu, C., Chatzirodou, A., Beaumont, H., Eyo, E., & Staddon, C. (2024). Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review. Water Science and Technology, 89(8), 1891-1912. https://doi.org/10.2166/wst.2024.077

Urban flooding has made it necessary to gain a better understanding of how well gully pots perform when overwhelmed by solids deposition due to various climatic and anthropogenic variables. This study investigates solids deposition in gully pots thro... Read More about Enhancing solids deposit prediction in gully pots with explainable hybrid models: A review.

A dynamic movement primitives-based tool use skill learning and transfer framework for robot manipulation (2024)
Journal Article
Lu, Z., Wang, N., & Yang, C. (in press). A dynamic movement primitives-based tool use skill learning and transfer framework for robot manipulation. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2024.3370139

This paper presents a framework for learning and transferring robot tool-use skills based on Dynamic Movement Primitives (DMPs) for robot fine manipulation. DMPs and their enhanced methods are employed to acquire a specific tool-use skill applicable... Read More about A dynamic movement primitives-based tool use skill learning and transfer framework for robot manipulation.

Experimental study of bonded, bolted, and hybrid bonded-bolted single lap shear joints with woven CFRP adherends (2024)
Journal Article
Damghani, M., Saad Khan, M., & Atkinson, G. A. (2024). Experimental study of bonded, bolted, and hybrid bonded-bolted single lap shear joints with woven CFRP adherends. Composite Structures, 334, Article 117989. https://doi.org/10.1016/j.compstruct.2024.117989

This paper presents an extensive experimental performance study of bonded joints (BJs), only bolted joints (OBJs) and hybrid bonded-bolted joints (HJs). For each joint type, three test configurations are considered: namely, short, medium and long ove... Read More about Experimental study of bonded, bolted, and hybrid bonded-bolted single lap shear joints with woven CFRP adherends.

An ICT-enhanced methodology for the characterization of vernacular built heritage at a regional scale (2024)
Journal Article
Arias Tapiero, J. C., Graus, S., Khei, S., Silva, D., Conde, O., Ferreira, T. M., …Vasconcelos, G. (in press). An ICT-enhanced methodology for the characterization of vernacular built heritage at a regional scale. International Journal of Architectural Heritage, https://doi.org/10.1080/15583058.2024.2320862

The characterization of vernacular buildings is crucial for understanding the historical, social, and cultural significance of a community. These buildings reflect a collective memory and result from a long adaptation process to the local environment... Read More about An ICT-enhanced methodology for the characterization of vernacular built heritage at a regional scale.

Voices in a Pandemic: Using deep mapping to explore children’s changing sense of place during the COVID-19 pandemic in UK (2024)
Journal Article
Webber, A., Jones, V., McEwen, L., Deave, T., Gorell Barnes, L., Williams, S., …Gopinath, D. (in press). Voices in a Pandemic: Using deep mapping to explore children’s changing sense of place during the COVID-19 pandemic in UK. Children's Geographies, https://doi.org/10.1080/14733285.2024.2315153

Children’s sense of place is important for wellbeing, development and belonging in a community or place. The VIP-CLEAR (Voices in a Pandemic – Children’s Lockdown Experiences Applied to Recovery) project used creative methods and repeat engagement t... Read More about Voices in a Pandemic: Using deep mapping to explore children’s changing sense of place during the COVID-19 pandemic in UK.

Citizen-led emissions reduction: Enhancing enjoyment and understanding for diverse citizen engagement with air pollution and climate change decision making (2024)
Journal Article
Fogg-Rogers, L., Sardo, A. M., Csobod, E., Boushel, C., Laggan, S., & Hayes, E. (2024). Citizen-led emissions reduction: Enhancing enjoyment and understanding for diverse citizen engagement with air pollution and climate change decision making. Environmental Science and Policy, 154, Article 103692. https://doi.org/10.1016/j.envsci.2024.103692

Diverse citizens need to be involved in net zero transitions to ensure policy interventions do not entrench inequalities for people from minoritised or disenfranchised groups and ensure public engagement with rapid social changes. This paper illustra... Read More about Citizen-led emissions reduction: Enhancing enjoyment and understanding for diverse citizen engagement with air pollution and climate change decision making.

Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities (2024)
Journal Article
Channa, A. A., Munir, K., Hansen, M., & Tariq, M. F. (2024). Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities. Encyclopedia, 4(1), 313-336. https://doi.org/10.3390/encyclopedia4010023

Environment changes, water scarcity, soil depletion, and urbanisation are making it harder to produce food using traditional methods in various regions and countries. Aquaponics is emerging as a sustainable food production system that produces fish a... Read More about Optimisation of small-scale aquaponics systems using artificial intelligence and the IoT: Current status, challenges, and opportunities.

Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment (2024)
Journal Article
Olisah, C. C., Trewhella, B., Li, B., Smith, M. L., Winstone, B., Charles Whitfield, E., …Duncalfe, H. (2024). Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment. Engineering Applications of Artificial Intelligence, 132, Article 107945. https://doi.org/10.1016/j.engappai.2024.107945

Fruit ripeness estimation models have for decades depended on spectral index features or colour-based features, such as mean, standard deviation, skewness, colour moments, and/or histograms for learning traits of fruit ripeness. Recently, few studies... Read More about Convolutional neural network ensemble learning for hyperspectral imaging-based blackberry fruit ripeness detection in uncontrolled farm environment.