In order to improve the efficiency of the support vector machine （SVM） for classification to deal with a large amount of samples, the least squares support vector machine （LSSVM） for classification methods is intr...In order to improve the efficiency of the support vector machine （SVM） for classification to deal with a large amount of samples, the least squares support vector machine （LSSVM） for classification methods is introduced into the reliability analysis. To reduce the coraputational cost, the solution of the SVM is transformed from a quadratic programming to a group of linear equations. The numerical results indicate that the reliability method based on the LSSVM for classification has higher accuracy and requires less computational cost than the SVM method.展开更多
为了改善轮盘的性能,基于Workbench与集成的优化软件opt i SLang建立热与结构耦合的多物理场优化平台,对多级轮盘组件进行了减质优化设计。结果表明:优化后各级轮盘应力及变形满足设计要求,子午面应力储备分布均匀,提高了材料的利用率,...为了改善轮盘的性能,基于Workbench与集成的优化软件opt i SLang建立热与结构耦合的多物理场优化平台,对多级轮盘组件进行了减质优化设计。结果表明:优化后各级轮盘应力及变形满足设计要求,子午面应力储备分布均匀,提高了材料的利用率,低压涡轮盘质量共减轻4.45 kg,达到了预期目标。本优化设计平台为基于轮盘子午面的2维优化平台,可用于轮盘方案阶段的设计工作,为建立更为详细的轮盘3维优化平台提供技术储备。展开更多
In order to deal with the issue of huge computational cost very well in direct numerical simulation, the traditional response surface method (RSM) as a classical regression algorithm is used to approximate a functiona...In order to deal with the issue of huge computational cost very well in direct numerical simulation, the traditional response surface method (RSM) as a classical regression algorithm is used to approximate a functional relationship between the state variable and basic variables in reliability design. The algorithm has treated successfully some problems of implicit performance function in reliability analysis. However, its theoretical basis of empirical risk minimization narrows its range of applications for...展开更多
基金supported by the National High-Tech Research and Development Program of China (863 Program) (No.2006AA04Z405)
文摘In order to improve the efficiency of the support vector machine （SVM） for classification to deal with a large amount of samples, the least squares support vector machine （LSSVM） for classification methods is introduced into the reliability analysis. To reduce the coraputational cost, the solution of the SVM is transformed from a quadratic programming to a group of linear equations. The numerical results indicate that the reliability method based on the LSSVM for classification has higher accuracy and requires less computational cost than the SVM method.
文摘为了改善轮盘的性能,基于Workbench与集成的优化软件opt i SLang建立热与结构耦合的多物理场优化平台,对多级轮盘组件进行了减质优化设计。结果表明:优化后各级轮盘应力及变形满足设计要求,子午面应力储备分布均匀,提高了材料的利用率,低压涡轮盘质量共减轻4.45 kg,达到了预期目标。本优化设计平台为基于轮盘子午面的2维优化平台,可用于轮盘方案阶段的设计工作,为建立更为详细的轮盘3维优化平台提供技术储备。
基金National High-tech Research and Development Pro-gram (2006AA04Z405)
文摘In order to deal with the issue of huge computational cost very well in direct numerical simulation, the traditional response surface method (RSM) as a classical regression algorithm is used to approximate a functional relationship between the state variable and basic variables in reliability design. The algorithm has treated successfully some problems of implicit performance function in reliability analysis. However, its theoretical basis of empirical risk minimization narrows its range of applications for...
