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发表时间：2016-01-01

发表刊物：计算力学学报

期号：5

页面范围：779-784

ISSN号：1007-4708

摘要：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 de-signed 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 ab-straction 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 algo-rithmic 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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