This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditiona...This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditional approaches.BIM-based methods like collision detection,4D simulation,multi-dimensional data integration,etc.,can effectively mitigate risks.Stakeholder collaboration,digital twin testing,and lean BIM integration is also crucial.Case studies show BIM can reduce risks by 32-41%,with a three phase roadmap provided.展开更多
In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technolog...In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technology and BIM(Building Information Modeling)model was discussed.Focused on the efficient acquisition of building geometric information using the fast-developing 3D point cloud technology,an improved deep learning-based 3D point cloud recognition method was proposed.The method optimised the network structure based on RandLA-Net to adapt to the large-scale point cloud processing requirements,while the semantic and instance features of the point cloud were integrated to significantly improve the recognition accuracy and provide a precise basis for BIM model remodeling.In addition,a visual BIM model generation system was developed,which systematically transformed the point cloud recognition results into BIM component parameters,automatically constructed BIM models,and promoted the open sharing and secondary development of models.The research results not only effectively promote the automation process of converting 3D point cloud data to refined BIM models,but also provide important technical support for promoting building informatisation and accelerating the construction of smart cities,showing a wide range of application potential and practical value.展开更多
The Building Information Modelling (BIM) methodology has been adopted in the construction industry, supporting the development of projects. Its implementation has improved the collaboration and integration in the desi...The Building Information Modelling (BIM) methodology has been adopted in the construction industry, supporting the development of projects. Its implementation has improved the collaboration and integration in the design context, increasing the accuracy of the project preparation and the decreasing additional costs and delays of the construction work. The main objective of the present research is to provide an overview of the state of the art of BIM applications, namely, concerning the construction planning. For that, the generation of a BIM 3D model, involving the disciplines of architecture, structures and water supply system was performed. After, over the model a conflict analysis was applied, in order to verify the consistency of all the disciplines, when linked together. In order to obtain a visual simulation of the construction process, the correspondent 4D BIM model was also generated. Along the development of the study, distinct BIM software was applied over a case study. The main remarks of the capacities of the software, as well as the benefits and limitations verified were identified.展开更多
随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM...随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM)的增强约束方法,并将其集成至NSGA-Ⅱ框架,以实现基坑支护结构设计的多目标优化.首先,构建了基坑支护体系的碳排放计算准则,明确了计算的边界条件(涵盖建材的生产、运输、施工、拆除及回收等生命周期阶段);其次,在此基础上提出了一种增强约束方法,将设计规范转化为定量约束条件,并与NSGA-Ⅱ算法相结合,通过BIM平台提取结构信息,提升优化过程的精确性和可操作性;最后,针对2个典型基坑支护案例进行分析,以验证该方法的有效性和适用性.通过对2个基坑支护案例的研究分析可知,与传统设计相比该算法在成本和碳排放方面有明显改善,其设计在成本优化及碳性能优化设计的效率方面分别提高了40.9%和30.1%、25.3%和20.9%,为基坑支护结构设计提供了更加科学有效的优化方法.展开更多
文摘This research focuses on using BIM modeling optimization to control construction-period risks in the pre-construction stage of industrial factory buildings.It analyzes common risk factors and limitations of traditional approaches.BIM-based methods like collision detection,4D simulation,multi-dimensional data integration,etc.,can effectively mitigate risks.Stakeholder collaboration,digital twin testing,and lean BIM integration is also crucial.Case studies show BIM can reduce risks by 32-41%,with a three phase roadmap provided.
文摘In view of the limitations of traditional measurement methods in the field of building information,such as complex operation,low timeliness and poor accuracy,a new way of combining three-dimensional scanning technology and BIM(Building Information Modeling)model was discussed.Focused on the efficient acquisition of building geometric information using the fast-developing 3D point cloud technology,an improved deep learning-based 3D point cloud recognition method was proposed.The method optimised the network structure based on RandLA-Net to adapt to the large-scale point cloud processing requirements,while the semantic and instance features of the point cloud were integrated to significantly improve the recognition accuracy and provide a precise basis for BIM model remodeling.In addition,a visual BIM model generation system was developed,which systematically transformed the point cloud recognition results into BIM component parameters,automatically constructed BIM models,and promoted the open sharing and secondary development of models.The research results not only effectively promote the automation process of converting 3D point cloud data to refined BIM models,but also provide important technical support for promoting building informatisation and accelerating the construction of smart cities,showing a wide range of application potential and practical value.
文摘The Building Information Modelling (BIM) methodology has been adopted in the construction industry, supporting the development of projects. Its implementation has improved the collaboration and integration in the design context, increasing the accuracy of the project preparation and the decreasing additional costs and delays of the construction work. The main objective of the present research is to provide an overview of the state of the art of BIM applications, namely, concerning the construction planning. For that, the generation of a BIM 3D model, involving the disciplines of architecture, structures and water supply system was performed. After, over the model a conflict analysis was applied, in order to verify the consistency of all the disciplines, when linked together. In order to obtain a visual simulation of the construction process, the correspondent 4D BIM model was also generated. Along the development of the study, distinct BIM software was applied over a case study. The main remarks of the capacities of the software, as well as the benefits and limitations verified were identified.
文摘随着建筑行业对环境可持续性的日益重视,大型建筑基坑支撑结构设计中的碳排放问题已成为一个不容忽视的关键问题.传统设计虽然强调成本效益,但往往缺乏对环境性能的考虑.提出了一种基于建筑信息模型(building information modeling, BIM)的增强约束方法,并将其集成至NSGA-Ⅱ框架,以实现基坑支护结构设计的多目标优化.首先,构建了基坑支护体系的碳排放计算准则,明确了计算的边界条件(涵盖建材的生产、运输、施工、拆除及回收等生命周期阶段);其次,在此基础上提出了一种增强约束方法,将设计规范转化为定量约束条件,并与NSGA-Ⅱ算法相结合,通过BIM平台提取结构信息,提升优化过程的精确性和可操作性;最后,针对2个典型基坑支护案例进行分析,以验证该方法的有效性和适用性.通过对2个基坑支护案例的研究分析可知,与传统设计相比该算法在成本和碳排放方面有明显改善,其设计在成本优化及碳性能优化设计的效率方面分别提高了40.9%和30.1%、25.3%和20.9%,为基坑支护结构设计提供了更加科学有效的优化方法.
