Contact Dr Edore Arhore
Background
With a background in mechanical engineering, I embarked on a journey of exploration and discovery in the field of lightweight structures. This journey led me to Cranfield University, where I specialised in lightweight and composite structures through an MSc program.
Driven by a passion for innovation, I pursued a PhD in aerospace, focusing on Neural Network-Assisted Structural Optimisation. In this endeavour, I merged artificial intelligence with the optimisation process of lightweight structures, pushing the boundaries of traditional methodologies.
My principal goal is to develop the field of lightweight structures by introducing novel concepts, designs, and optimisation tools. By integrating artificial intelligence into structural analysis, I aim to drive advancements that enhance how lightweight structures are conceived, optimised, and applied.
Research opportunities
1. Machine Learning Applications in Structural Engineering:
- Utilising machine learning for predictive modelling and analysis in structural engineering.
2. Structural Optimisation Techniques:
- Investigating the application of genetic algorithms for multi-objective optimisation problems in structural design.
- Utilizing topology optimisation methods to achieve lightweight and efficient structural designs.
3. Composite Materials Design and Optimisation:
- Developing advanced methodologies for the design and optimisation of composite materials in aerospace and engineering applications.
- Exploring novel approaches to enhance the mechanical properties and performance of composite materials through optimisation techniques.
4. Aerospace Structures:
- Investigating the structural integrity and performance of aerospace components and systems.
Publications
Articles In Journals
- Al Ali A, Arhore E, Ghasemnejad H & Yasaee M. (2024). Experimental and numerical investigation of multi-layered honeycomb sandwich composites for impact mechanics applications. Results in Engineering, 21
- Arhore EG, Yasaee M & Dayyani I. (2022). Optimisation of convolutional neural network architecture using genetic algorithm for the prediction of adhesively bonded joint strength. Structural and Multidisciplinary Optimization, 65(9)
- Arhore EG, Yasaee M & Dayyani I. (2021). Comparison of GA and topology optimization of adherend for adhesively bonded metal composite joints. International Journal of Solids and Structures, 226-227(September)
- Arhore EG & Yasaee M. (2020). Lay-up optimisation of fibre–metal laminates panels for maximum impact absorption. Journal of Composite Materials, 54(29)