Abstract
According to the World Health Organisation (WHO), in 2016, approximately 1.4 million people died in road traffic accidents worldwide. One method of decreasing road casualties is by enhancing vehicle crashworthiness, and a potential method to improving vehicle crashworthiness is by using mechanical metamaterials. Mechanical metamaterials are materials that possesses unique material characteristics due to the physical structure architecture of the material rather than the properties of the material itself. As a PhD student at Queen’s University Belfast (QUB) my project focuses on defining and developing a computational framework for the programming of the internal structure of mechanical metamaterials in order to optimise its response to different loading scenarios; and to validate the framework through experimentation. While at Kyushu University, the experimental aspect of my project – manufacturing of specimens using 3D printer, material characterisation and compressions/crush tests – will be carried out. Furthermore, optimisation and validation of my computational framework will be carried out.
Original language | English |
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Publication status | Published - 14 Jun 2019 |
Event | JSPS Summer Programme 2019 : Sōkendai Poster Presentation - Shonen Village Centre, Hayama, Japan Duration: 14 Jun 2019 → 14 Jun 2019 |
Other
Other | JSPS Summer Programme 2019 |
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Country/Territory | Japan |
City | Hayama |
Period | 14/06/2019 → 14/06/2019 |
Fingerprint
Dive into the research topics of 'Programmable Mechanical Metamaterial'. Together they form a unique fingerprint.Prizes
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Japan Society for the Promotion of Science (JSPS) Summer Program 2019
Joseph, Belinda Babu (Recipient), 20 Aug 2019
Prize: Fellowship awarded competitively
Student theses
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A deep learning approach to predict crashworthiness behaviour of mechanical meta-material
Joseph, B. B. (Author), Catalanotti, G. (Supervisor), Kazanci, Z. (Supervisor) & Falzon, B. (Supervisor), Jul 2023Student thesis: Doctoral Thesis › Doctor of Philosophy
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