3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes

Ailin Zhang, Hao Ma, Xi Zhao, Yanxia Zhang, Jie Wang, Meini Su

Research output: Contribution to journalArticlepeer-review

9 Downloads (Pure)

Abstract

This paper presents a multi-member automatic structural modeling (MASM) method for high-thrust deviation monitoring of prefabricated cable domes. Point cloud data generated by three-dimensional (3D) laser scanning were segmented into structural modules to effectively reduce the method's computational complexity. A multimember central shrinkage algorithm was developed for skeleton-point recognition. Subsequently, skeleton members were detected with sequentially identified joints, and the structural model of the cable dome was built. The MASM method was validated with respect to its 1) accuracy, ensuring a satisfactory signal-to-noise ratio, and 2) efficiency, ensuring competitive runtime. The use case of the cable-dome deviation monitoring was studied in detail. The proposed MASM method systematically evaluates prefabricated cable domes with multi-section members. This study enables high-fidelity analysis using a structural digital twin for predicting future structural performance.

Original languageEnglish
Article number105573
JournalAutomation in Construction
Volume165
Early online date22 Jun 2024
DOIs
Publication statusE-pub ahead of print - 22 Jun 2024

Keywords

  • automatic structural modeling
  • cable dome structure
  • deviation monitoring
  • 3D laser scanning
  • structural digital twin

Fingerprint

Dive into the research topics of '3D laser scanning for automated structural modeling and deviation monitoring of multi-section prefabricated cable domes'. Together they form a unique fingerprint.

Cite this