6 Result(s)
within
Hai Fang
Engineering
Computational Mathematics and Numerical Analysis
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Article
An efficient decoupled method for time-variant reliability-based design optimization
Time-variant reliability-based design optimization (tRBDO) can rationally consider the time-variant uncertainties in engineering structures and find the optimal design that can keep reliable throughout its who...
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Article
A sequential optimization framework for simultaneous design variables optimization and probability uncertainty allocation
In engineering design, the performance of the system and the budget of design uncertainty should be balanced, which means that it is best to optimize design variables and allocate the manufacturing uncertainty...
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Article
An efficient space division–based width optimization method for RBF network using fuzzy clustering algorithms
The Radial Basis Function (RBF) network is one of the most widely used surrogate models in multidisciplinary design optimization. However, one of the challenges of applying the RBF network to engineering probl...
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Article
A gradient-based uncertainty optimization framework utilizing dimensional adaptive polynomial chaos expansion
To improve the efficiency of solving uncertainty design optimization problems, a gradient-based optimization framework is herein proposed, which combines the dimension adaptive polynomial chaos expansion (PCE)...
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Article
A reliability-based optimization method using sequential surrogate model and Monte Carlo simulation
This paper presents a sequential surrogate model method for reliability-based optimization (SSRBO), which aims to reduce the number of the expensive black-box function calls in reliability-based optimization. ...
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Article
A surrogate model based nested optimization framework for inverse problem considering interval uncertainty
The inverse problem is a kind of engineering problem that estimates the input through the given output. In this paper, the given output described as interval uncertainty parameter is concerned, and the interva...
