High‐resolution 3‐D geometry updating of digital functional models using point cloud processing and surface cut

Author:

Zhang Youqi1,Xia Baiqiang2,Taylor Su3

Affiliation:

1. Department of Civil Engineering School of Engineering Aalto University Espoo Finland

2. Silo AI Helsinki Finland

3. Department of Civil Engineering School of Natural and Built Environment Queen's University Belfast Belfast, Northern Ireland UK

Abstract

AbstractPoint cloud can provide rich 3‐D geometric information of structures, and it has been widely investigated for generating digital functional models, such as finite element (FE) model and building information model (BIM). However, for the existing digital models, how to maintain and update the new local geometric changes on the existing digital models has not been sufficiently studied. Therefore, this research presents a method to update the local 3‐D geometric changes on digital functional models using point cloud processing and surface cut. The proposed pipeline starts from processing the point cloud of the local structural change for reconstructing the local surface mesh. After that, the surface mesh is aligned to the corresponding location of the existing digital model by point cloud registration. Then, the geometry updating can be achieved by cutting the digital model with the generated surface mesh. To validate the proposed geometry updating method, two case studies were performed on damaged concrete beams with their intact FE models. The results show that the 3‐D geometry changes caused by the damage on the edge and vertex can be successfully updated with high resolution on the existing digital models. The results demonstrate the feasibility of integrating the proposed method into structural health monitoring (SHM) systems for further analysis.

Funder

Academy of Finland

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering,Building and Construction

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3