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Multi-objective topological optimization with multiple constraints for complex structures

Project Member(s): Luo, Z.

Funding or Partner Organisation: Aerospace System Engineering of Shanghai

Start year: 2015

Summary: With the increase of payload weight and function of aircrafts, the structural weight of aircrafts also increases. Accordingly, the carrying capacity of an aircraft (e.g. a rocket) gradually can┬┐t meet the requirements ofweight and space layout. Therefore, the design optimization, such as the structural lightweight design and topologically layout optimization of components, is becoming more and more important but more difficult in the design of weight-reduced but high-performance aircrafts. Due to various requirements and constraints existing in aircraft design including weight, frequency, intensity, interface, static and dynamic loads, it is a key issue to conduct the multi-objective structural optimization subject to multiple constraints.

Publications:

Wang, Y, Gao, J, Luo, Z, Brown, T & Zhang, N 2017, 'Level-set topology optimization for multimaterial and multifunctional mechanical metamaterials', Engineering Optimization, vol. 49, no. 1, pp. 22-42.
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Wang, Y, Luo, Z, Zhang, N & Qin, Q 2016, 'Topological shape optimization of multifunctional tissue engineering scaffolds with level set method', Structural and Multidisciplinary Optimization, vol. 54, no. 2, pp. 333-347.
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Wang, Y, Luo, Z, Zhang, N & Wu, T 2016, 'Topological design for mechanical metamaterials using a multiphase level set method', Structural and Multidisciplinary Optimization, vol. 54, no. 4, pp. 937-952.
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Wu, J, Gao, J, Luo, Z & Brown, T 2016, 'Robust topology optimization for structures under interval uncertainty', Advances in Engineering Software, vol. 99, pp. 36-48.
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Wang, Y, Luo, Z, Wu, J & Zhang, N 2015, 'Topology optimization of compliant mechanisms using element-free Galerkin method', Advances in Engineering Software, vol. 85, pp. 61-72.
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Wu, D, Gao, W, Song, C & Luo, Z 2015, 'Mathematical Programming Approaches for Interval Structural Behaviour and Stability Analysis', CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES, vol. 108, no. 5, pp. 331-373.
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Xiao, M, Gao, L, Xiong, H & Luo, Z 2015, 'An efficient method for reliability analysis under epistemic uncertainty based on evidence theory and support vector regression', Journal of Engineering Design, vol. 26, no. 10-12, pp. 340-364.
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FOR Codes: Mechanical Engineering, Expanding Knowledge in Engineering