Authors: Seung Hwan Oh, Jung Ho Kang, Won Sik Joo, Xue Guan Song, Hyeung Geol Kong, Young Chul Park
Abstract: The optimization of gate valve was performed using Kriging based approximation model.
The DACE modeling, known as the one of Kriging interpolation, is introduced to obtain the
surrogate approximation model of the function. In addition, we describe the definition, the
prediction function and the algorithm of Kriging method and examine the accuracy of Kriging by
using validation method.
901
Authors: Yong Xian Li, Bin Wang, Guang Ping Peng
Abstract: A new intelligent orthogonal optimization algorithm for robust design is proposed in order to improve accuracy and efficiency. The next searching direction and searching range of variables are determined by variance ratio after the robust optimization model is firstly calculated by design parameters on orthogonal array. New orthogonal array for further optimization is formed intelligently by analysis of variance ratio. The intelligent orthogonal optimization is performed until error value of each variable is equal to zero or is equivalent, which is the optimal robust solution. Correspondingly, the variable range corresponding to the minimum variance ratio in the orthogonal array in preceding step is the tolerance of the optimal robust solution, which means that there is no need for special tolerance design. This paper takes a cam profile as an example to perform robust design. The simulation results prove that the new intelligent algorithm for robust design has many advantages, such as less calculation time, higher speed, no exiting of prematurity of local circulation and slow convergence of global search.
301
Authors: Xue Yi Fu, Jia Xin Qu
Abstract: Both reference [1~2] method and partitioned design method (GB 50010-2002) were adopted to design complex shear walls, and some factors such as axial compression ratio, reinforcing ratio, section dimension, concrete strength grade and effective flange width were considered, then their limited loading capacity would be compared with each other when axial force was considered as a fixed value. It was found that there were some defects of complex shear wall partitioned design method. And its applied conditions were suggested, which included section restricted condition and limited value of axial compression ratio. When these conditions couldn’t be satisfied, the adjusted reinforcement partitioned design method of reference [3] was suggested. If the uneconomical problem of partitioned design method could not be accepted, whole section design method of reference [1~2] would be suggested.
980
Authors: Xiu Qin Cui, Bing Guo, Zhong Ren Feng
Abstract: The numerical analysis method is applied to simulate the whole process of bending. Keeping the section dimensions and the types of loads constant in prestressed concrete hollow slab with mid-strength spiral-rib steel wire, strength of concrete, strength of steel bar, reinforcement ratio, span-depth ratio and stretching control stress are analyzed and compared. The influence of strength of concrete, strength of steel bar, reinforcement ratio, span-depth ratio and stretching control stress on ratio of cracking bending moment and design bending moment of prestressed concrete hollow slab is discussed by numerical simulation.
136
Authors: Tian Zhong Sui, Lei Wang, Dong Mei Cheng, Hong Wen Cui
Abstract: In this paper, a multi-objective parameter optimization model based on experimental design and NN-GA is established. In this method, utilizing experimental design principle to deal with test project and applying NN to map and using Pareto genetic algorithm to optimize, multi-objective parameter optimization is accomplished, in which the high nonlinear mapping ability of neural network model, the global research ability of genetic algorithms and multiform choice about the test points according to experimental demand are utilized synthetically. A Pareto-optimal set can be found in specify region. The method can be applied broadly and it needn’t the concrete mathematic model for different optimizing demand. For virtual devices and products, the virtual experiments can be realized by parameter-driven characteristic.
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