Abstract
Building information modelling promises model-based collaboration between stakeholders in the project design stage. However, data exchange between physical and analytical building models used for architectural design and structural analysis respectively rarely takes place due to numerous differences in building element representation, especially the representation of geometry. This paper presents the realization of a novel data exchange framework between architectural design and structural analysis building models, based on open interpretations on central storage. The exchange is achieved with a new system architecture, where the program redDim was developed to perform the interpretations, including the most challenging transformations of geometry. We deliver a proof of concept for the novel framework with a prototype building model and verify it on two further building models. Results show that structural-analysis models can be correctly automatically created by reducing dimensionality and reconnecting building elements. The proposed data exchange provides a base for missing standardization of interpretations, which facilitates the non-proprietary automated conversion between physical and analytical models. This research fills the gap in the existing model-based communication that could lead to a seamless data exchange.
Highlights
The construction industry, as one of the least digitized, aims to increase productivity by implementing building information modeling (BIM) and achieving digital collaboration [1].An obstacle still present in achieving a seamless data exchange for digital collaboration is the lack of software interoperability [2]
Some The interpretations were more elaborate to automate than the others, partly because of innovative aspects of this research lie primarily in the documentation and codithe complexity of the traditional intuitive interpretation process and partly because of fying of intuitive interpretation rules based on implicit expert knowledge, making it exthe technical reasons editing, such as geometry suitability via andother predefined methods the plicit, enabling expandingkernel and automation software tools orin geomkernel
This paper aims to bridge a knowledge gap through documenting and codifying the complexity of the traditional intuitive interpretation process and partly because of the the implicit interpretations of architectural design models for structural analysis models
Summary
An obstacle still present in achieving a seamless data exchange for digital collaboration is the lack of software interoperability [2]. The computer integrated construction needs to be directed towards the process-oriented systems to achieve a natural level with human elements that are found in the day-to-day businesses [3]. Attempts to improve data exchange and software interoperability have yielded domain-specific success, whereby for architectural design and structural analysis it has been limited. This exchange is still characterized by sharing of drawings, documents with bad interoperability and redundant work [4]. This research aims to improve the current data exchange frameworks between architectural design and structural analysis models by overcoming the existing obstacles
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