Journal Article10.1504/IJVD.2012.049160
Topometry optimisation for crashworthiness design using hybrid cellular automata
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TL;DR: In this article, the Hybrid Cellular Automaton (HCA) was used to synthesize lightweight, energy-absorbing topology concepts for crashworthiness design, where the objective is to find the thickness distribution that uniformly distributes the structure's internal energy density.
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Abstract: An objective in crashworthiness design is to obtain energy-absorbing components. This task has been efficiently undertaken using the Hybrid Cellular Automaton method. This method combines the CA paradigm with nonlinear, dynamic finite element analysis. Lightweight, energy-absorbing topology concepts have been obtained with this approach. This paper furthers the development of the HCA method to an efficient tool for synthesising shell structures using topometry optimisation. The objective is to find the thickness distribution that uniformly distributes the structure’s internal energy density. This approach addresses problems involving collisions, large displacement and material plastic hardening. The final designs meet manufacturing and performance constraints.
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Citations
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TL;DR: Compared to the state-of-the-art Covariance Matrix Adaptation Evolution Strategy (CMA-ES), the KG-LSM optimization algorithm demonstrates to be efficient in terms of convergence speed and performance of the optimized designs.
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Simultaneous optimal design of topology and size for a flexure-hinge-based guiding mechanism to minimize mass under stiffness and frequency constraints
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TL;DR: A new topology optimization approach with equivalent static approach for solving nonlinear plastic problems with real-time requirements is proposed.
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