Chapter
Jun 17, 2014

An Industry Foundation Classes (IFC) Web-Based Approach and Platform for Bi-Drectional Conversion of Structural Analysis Models

Publication: Computing in Civil and Building Engineering (2014)

Abstract

Projects in the Architectural Engineering and Construction (AEC) industry involve several organizations and practitioners who are required to share a very diverse set of information and models. Building Information Modeling (BIM) and open standards, such as Industry Foundation Classes (IFC), have made substantial progress in improving the interoperability in recent years. However, inadequate interoperability is still inflicting an economic burden and is considered to be one of the main limiting factors for BIM adoption. This paper presents an IFC and Web-based approach and tool that enable a bi-directional conversion among structural analysis models. The approach consists of an IFC-based unified information model and a number of algorithms that help overcome the differences between the data structures and representation logics of different structural analysis technologies. A web-based platform that utilizes WebGL was developed to enable the sharing and converting of different building models. In a live case study, the testing of the approach and the platform developed demonstrated consistency in the conversion process and stability and rendering quality in the display of models over the Web browser.

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Go to Computing in Civil and Building Engineering (2014)
Computing in Civil and Building Engineering (2014)
Pages: 390 - 397

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Published online: Jun 17, 2014

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Xiao-Yang Zhang [email protected]
Department of Civil Engineering, Tsinghua University, Beijing, China. E-mail: [email protected]
Zhen-Zhong Hu [email protected]
Department of Civil Engineering, Tsinghua University, Beijing, China. E-mail: [email protected]
Heng-Wei Wang [email protected]
Department of Civil Engineering, Tsinghua University, Beijing, China. E-mail: [email protected]
Mohamad Kassem [email protected]
Technology Future Institute, Teesside University, Middlesbrough, UK. E-mail: [email protected]

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