Multi-objective concurrent topology optimization of thermoelastic structures composed of homogeneous porous material
By Jiadong Deng, Jun Yan, Gengdong Cheng. 2013
242 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials
View Paper: https://www.semanticscholar.org/paper/21505a39ddbd8992934b8a161468f4421233cf1e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Zhan Kang
- Zhen Luo
- Yiqiang Wang
- Ramana V. Grandhi
- Joshua D. Deaton
- Xiaodong Huang
- Yi Min Xie
- Krishnan Suresh
In Mechanics of Materials
- Zhan Kang
- Yiqiang Wang
- Zhen Luo
- Xiaodong Huang
- Yi Min Xie
- Ramana V. Grandhi
- Joshua D. Deaton
- Jikai Liu
Citations in the corpus
- Deep Generative Modeling for Mechanistic-based Learning and Design of Metamaterial Systems (2020, result): “ve shown to have the edge over single scale structure for the design involving multi-physics or spatially varying structural requirements, such as displacement design [23, 28], thermalelastic problem [56, 57], dynamic response optimization [58, 59] and energy absorption design [60]. The results of d”
- Topology optimization for functionally graded cellular composites with metamaterials by level sets (2018, background): “In engineering, the effect of loading and boundary conditions of the macrostructure upon the microstructure [27-32] should also come into the picture in the topological design of FGMs.”
- Concurrent topology optimization of structures and their composite microstructures (2014, methodology): “[26] studied the multi-objective design of lightweight thermoelastic structures using the concurrent optimization technique to minimize the structural compliance and the thermal expansion of a certain surface simultaneously.”
- Design of graded lattice structure with optimized mesostructures for additive manufacturing (2018, methodology): “Some existing studies tackled this issue by developing a non-local multiscale analysis model [16] or using a refined analysis model [13, 14], but this may still be computationally expensive.”
- Current and future trends in topology optimization for additive manufacturing (2018, background): “Both homogeneous (Wang et al. 2016b; Huang et al. 2013a; Niu et al. 2009; Guo et al. 2015; Deng et al. 2013; Fujii et al. 2001; Zhang and Sun 2006; Liu et al. 2008) and heterogeneous (Coelho et al. 2008, 2011; Rodrigues et al. 2002; Xia and Breitkopf 2014, 2015; Wang et al. 2017c; Sivapuram et al.…”
- Concurrent topology optimization of multiscale structures with multiple porous materials under random field loading uncertainty (2017, background): “2011), multi-objective thermoelastic problems (Deng et al. 2013), robust design considering random variable load uncertainty (Guo et al.”