3 citations · 4 across the 4 of their papers we have counts for
5 papers
Inverse Design of Cellular Composites for Targeted Nonlinear Mechanical Response via Multi-Fidelity Bayesian Optimisation
Hirak Kansara, Leo Guo, Wei Tan
The rise of machine learning and additive manufacturing has enabled the design of architected materials with tailored properties that surpass those of natural materials. Inverse de…
Multi-fidelity Bayesian Data-Driven Design of Energy Absorbing Spinodoid Cellular Structures
Leo Guo, Hirak Kansara, Siamak F. Khosroshahi +2
Finite element (FE) simulations of structures and materials are getting increasingly more accurate, but also more computationally expensive as a collateral result. This development…
Multi-objective Bayesian Optimisation of Spinodoid Cellular Structures for Crush Energy Absorption
Hirak Kansara, Siamak F. Khosroshahi, Leo Guo +2
In the pursuit of designing safer and more efficient energy-absorbing structures, engineers must tackle the challenge of improving crush performance while balancing multiple confli…
Inverse design and additive manufacturing of shape-morphing structures based on functionally graded composites
Hirak Kansara, Mingchao Liu, Yinfeng He +1
Shape-morphing structures possess the ability to change their shapes from one state to another, and therefore, offer great potential for a broad range of applications. A typical pa…
Data-driven modelling of scalable spinodoid structures for energy absorption
Hirak Kansara, Gary Koh, Merrin Varghese +6
The project aims to explore a novel way to design and produce cellular materials with good energy absorption and recoverability properties. Spinodoid structures offer an alternativ…