Geometric identification and damage detection of structural elements by terrestrial laser scanner

Tsung Chin Hou, Yu Wei Liu, Yu Min Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In recent years, three-dimensional (3D) terrestrial laser scanning technologies with higher precision and higher capability are developing rapidly. The growing maturity of laser scanning has gradually approached the required precision as those have been provided by traditional structural monitoring technologies. Together with widely available fast computation for massive point cloud data processing, 3D laser scanning can serve as an efficient structural monitoring alternative for civil engineering communities. Currently most research efforts have focused on integrating/calculating the measured multi-station point cloud data, as well as modeling/establishing the 3D meshes of the scanned objects. Very little attention has been spent on extracting the information related to health conditions and mechanical states of structures. In this study, an automated numerical approach that integrates various existing algorithms for geometric identification and damage detection of structural elements were established. Specifically, adaptive meshes were employed for classifying the point cloud data of the structural elements, and detecting the associated damages from the calculated eigenvalues in each area of the structural element. Furthermore, kd-tree was used to enhance the searching efficiency of plane fitting which were later used for identifying the boundaries of structural elements. The results of geometric identification were compared with M3C2 algorithm provided by CloudCompare, as well as validated by LVDT measurements of full-scale reinforced concrete beams tested in laboratory. It shows that 3D laser scanning, through the established processing approaches of the point cloud data, can offer a rapid, nondestructive, remote, and accurate solution for geometric identification and damage detection of structural elements.

Original languageEnglish
Title of host publicationNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016
EditorsPeter J. Shull, Andrew L. Gyekenyesi, Tzuyang Yu, H. Felix Wu
PublisherSPIE
ISBN (Electronic)9781510600454
DOIs
Publication statusPublished - 2016 Jan 1
EventNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016 - Las Vegas, United States
Duration: 2016 Mar 212016 Mar 24

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9804
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Other

OtherNondestructive Characterization and Monitoring of Advanced Materials, Aerospace, and Civil Infrastructure 2016
CountryUnited States
CityLas Vegas
Period16-03-2116-03-24

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Geometric identification and damage detection of structural elements by terrestrial laser scanner'. Together they form a unique fingerprint.

Cite this