Continuum topology optimization with non-probabilistic reliability constraints based on multi-ellipsoid convex model
By Yangjun Luo, Zhan Kang, Zhen Luo, Alex Li. 2009
245 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Computational Theory and Mathematics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/c28a73da440cf50a84536b4c3ea844efd3dab6af
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In Civil and Structural Engineering
In Computational Theory and Mathematics
In Statistics and Probability
Citations in the corpus
- Reliability-based structural optimization with probability and convex set hybrid models (2010, methodology): “In this study, the multi-ellipsoid convex model (Luo et al. 2009) is applied for the uncertain-but-bounded”
- Hybrid reliability analysis of structures with multi-source uncertainties (2013, methodology): “Several reliability-based optimization design methods were also developed by treating the non-probabilistic reliability indexes as constraints [24–26].”
- Reliability-based design optimization under mixture of random, interval and convex uncertainties (2016, background): “[42,43] further explored the concept of RBDO in the following next 20 years.”
- A non-probabilistic structural reliability analysis method based on a multidimensional parallelepiped convex model (2014, methodology): “By placing the non-probability reliability indexes as constraints, several reliability-based optimization design methods were developed [25,26].”
- An interval uncertain optimization method for vehicle suspensions using Chebyshev metamodels (2014, background): “For instance, Luo and his co-workers [27] proposed a mathematical definition to describe the non-probabilistic reliability index using the multi-ellipsoid convex model for structure optimization problems.”
- Single-loop system reliability-based topology optimization considering statistical dependence between limit-states (2011, methodology): “This approach is often termed as reliabilitybased topology optimization (RBTO), and has been successfully applied to a variety of topology optimization problems (Bae et al. 2002; Maute and Frangopol 2003; Allen et al. 2004; Jung and Cho 2004 ;K ang et al.2004; Kharmanda et al. 2004; Kim et al. 2006;”