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| Algorithmic framework for experimental design and surrogate model based on SiPESC |
| Received:March 30, 2015 Revised:September 08, 2015 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7511/jslx201605019 |
| KeyWord:service-oriented SiPESC experimental design surrogate model algorithm framework |
| Author | Institution |
| 李超 |
大连理工大学 工业装备结构分析国家重点实验室 运载工程与力学学部 工程力学系, 大连 |
| 李云鹏 |
大连理工大学 工业装备结构分析国家重点实验室 运载工程与力学学部 工程力学系, 大连 |
| 张盛 |
大连理工大学 工业装备结构分析国家重点实验室 运载工程与力学学部 工程力学系, 大连 |
| 陈飙松 |
大连理工大学 工业装备结构分析国家重点实验室 运载工程与力学学部 工程力学系, 大连 |
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| Abstract: |
| Based on the service-oriented open platform SiPESC,a new general algorithmic framework for experimental design and surrogate model is proposed by using service-oriented programming technology and software design patterns method,which considers the common features of experimental design and surrogate model algorithms.The core idea of the framework is that data model and algorithmic are designed with loose coupling in service-oriented architectures and encapsulated in different services.The whole framework includes five basic services in both experimental design and surrogate model.The abstraction of the basic services and the design of common interface are introduced,then,the aggregation and extending of services in this framework is given by instance.Furthermore,four experimental design methods and three surrogate model methods are implemented,two numerical verifications are employed to demonstrate the characteristics of the implemented framework.This investigation shows that the algorithmic framework has favorable extensibility and reusability which is applicable to the general analysis algorithm with settled procedural input and smart tasks. |
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