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An efficient and flexible web services-based multidisciplinary design optimisation framework for complex engineering systems

机译:针对复杂工程系统的高效灵活的基于Web服务的多学科设计优化框架

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摘要

Multidisciplinary design optimisation (MDO) involves multiple disciplines, multiple coupled relationships and multiple processes, which is implemented by different specialists dispersed geographically on heterogeneous platforms with different analysis and optimisation tools. The product design data integration and data sharing among the participants hampers the development and applications of MDO in enterprises seriously. Therefore, a multi-hierarchical integrated product design data model (MH-iPDM) supporting the MDO in the web environment and a web services-based multidisciplinary design optimisation (Web-MDO) framework are proposed in this article. Based on the enabling technologies including web services, ontology, workflow, agent, XML and evidence theory, the proposed framework enables the designers geographically dispersed to work collaboratively in the MDO environment. The ontology-based workflow enables the logical reasoning of MDO to be processed dynamically. The evidence theory-based uncertainty reasoning and analysis supports the quantification, aggregation and analysis of the conflicting epistemic uncertainty from multiple sources, which improves the quality of product. Finally, a proof-of-concept prototype system is developed using J2EE and an example of supersonic business jet is demonstrated to verify the autonomous execution of MDO strategies and the effectiveness of the proposed approach.
机译:多学科设计优化(MDO)涉及多个学科,多个耦合关系和多个过程,这是由分布在异构平台上的不同专家通过不同的分析和优化工具来实现的。参与者之间的产品设计数据集成和数据共享严重阻碍了MDO在企业中的开发和应用。因此,本文提出了在Web环境中支持MDO的多层次集成产品设计数据模型(MH-iPDM)和基于Web服务的多学科设计优化(Web-MDO)框架。基于包括Web服务,本体,工作流,代理,XML和证据理论在内的支持技术,提出的框架使地理分布的设计人员能够在MDO环境中协同工作。基于本体的工作流使MDO的逻辑推理得以动态处理。基于证据理论的不确定性推理和分析支持对来自多个来源的冲突性认知不确定性进行量化,汇总和分析,从而提高了产品质量。最后,使用J2EE开发了概念验证原型系统,并以超音速公务机为例,验证了MDO策略的自主执行和所提出方法的有效性。

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