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Generating Free-Form Grid Truss Structures from 3D Scanned Point Clouds

机译：从3D扫描点云生成自由形式的网格桁架结构

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摘要

Reconstruction, according to physical shape, is a novel way to generate free-form grid truss structures. 3D scanning is an effective means of acquiring physical form information and it generates dense point clouds on surfaces of objects. However, generating grid truss structures from point clouds is still a challenge. Based on the advancing front technique (AFT) which is widely used in Finite Element Method (FEM), a scheme for generating grid truss structures from 3D scanned point clouds is proposed in this paper. Based on the characteristics of point cloud data, the search box is adopted to reduce the search space in grid generating. A front advancing procedure suit for point clouds is established. Delaunay method and Laplacian method are used to improve the quality of the generated grids, and an adjustment strategy that locates grid nodes at appointed places is proposed. Several examples of generating grid truss structures from 3D scanned point clouds of seashells are carried out to verify the proposed scheme. Physical models of the grid truss structures generated in the examples are manufactured by 3D print, which solidifies the feasibility of the scheme.
机译：根据物理形状进行重建是一种生成自由形式的网格桁架结构的新颖方法。 3D扫描是获取物理形式信息的有效方法，它会在对象表面生成密集的点云。然而，从点云生成网格桁架结构仍然是一个挑战。基于在有限元方法（FEM）中广泛使用的先进前沿技术（AFT），提出了一种从3D扫描点云生成网格桁架结构的方案。根据点云数据的特点，采用搜索框来减少网格生成中的搜索空间。建立了适用于点云的前移程序。利用Delaunay方法和Laplacian方法提高了生成网格的质量，并提出了一种将网格节点定位在指定位置的调整策略。进行了从贝壳的3D扫描点云生成网格桁架结构的几个示例，以验证所提出的方案。实例中生成的网格桁架结构的物理模型是通过3D打印制造的，这巩固了该方案的可行性。

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  • 来源
    《Mathematical Problems in Engineering》 |2017年第9期|5818627.1-5818627.12|共12页
  • 作者

    Ding Hui; Xu Xian; Luo Yaozhi;

  • 作者单位

    Zhejiang Univ, Dept Civil Engn, A-818 Anzhong Bldg,866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Dept Civil Engn, A-818 Anzhong Bldg,866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China;

    Zhejiang Univ, Dept Civil Engn, A-818 Anzhong Bldg,866 Yuhangtang Rd, Hangzhou 310058, Zhejiang, Peoples R China;

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