结构BIM子模型拓扑网络的节点研究

RESEARCH ON THE NODES OF TOPOLOGICAL NETWORK OF STRUCTURE BIM SUB-MODEL

由于缺乏对结构物高精细度模型的子模型空间的拓扑特性研究,目前仍难以实现特征模型即时提取与建模质量定量控制。为此以结构工程信息为研究对象,在建筑（结构）信息模型方法研究框架下,通过统计一跨高精细度桥梁箱梁模型的控制性几何信息,获取到子模型间的网络拓扑特征关系,主要讨论了该网络中的两类特征节点。通过推广人工神经场（ANEF）刻画了两类节点以结构BIM子模型为信息载体的演化规律,得到了不考虑环境场影响的网络节点模型。节点模型描述了子模型空间可能的结构特征与高精细度建模的工作模式;节点间连接权赋予参数重要性指标;节点输入矩阵建议了经验规范中LOD指标的数学意义。相关结论为进一步研究高精细度模型的拓扑结构、探索考虑环境场影响的节点模型、构建完备的特征信息提取方案以及模型质量控制方法提供参考。

Because of the lack of research on the topology characteristics of the BIM（ Building Information Modeling）sub-model with the high level of detail（ LOD）,it is hardly to extract the correct feature models instantaneously and control the quality of the modeling process efficiently. Taking the structural engineering information as the research object,the network describing the relationship between the sub-model of the high-LOD BIM of a bridge box girder was obtain and the two kinds of network nodes were mainly discussed. By employing the theorem of the Artificial Neural Electromagnetic Field（ ANEF）,the evolution laws of two types of nodes regaring the structural BIM sub-model as the information carrier were described,and the network node model without environment field effect was obtained. The node model could describe the features of the information space and the high-LOD modeling process. The connection weight of nodes demarcat the importance index of parameters,and the input matrix present the mathematical significance of the LOD index. The conclusion could provide the reference for further researching the topology of high LOD model,exploring the node model considering environment field effect,optimizing the feature information extraction scheme and quality control method of the BIM model.