Data on point cloud scanning and ground radar of composite lining in jointly constructed tunnel

Jia Xuan Zhang, Ning Zhang, Ye Shuang Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

1 Citation (Scopus)

Abstract

The present dataset pertains to field records of construction quality of composite lining in a jointly constructed tunnel. The dataset includes the original mining surface profile data collected by the terrestrial laser scanning (TLS) and radar information on backfill quality outside the segmental lining which was obtained by the ground-penetration radar (GPR) detection. The point cloud data of the mining surface was further processed and compared with the design tunnel model to evaluate the level of over and under- excavation. The radargram provides details on the variation of the signal waveform by which the heterogeneity of backfill can be recognized. The dataset can be used to verify that the voids are prone to occur in the outside backfill of the composite lining. Furthermore, this dataset provides a method for detecting and preventing the defects of the composite lining and also facilitates the post-construction treatment. Additional foreseeable use of this dataset includes providing modeling material for researchers interested in knowing how voids in backfill influence the behavior of composite lining. As a supplement, this dataset supports the numerical analysis outlined in the article titled “Numerical evaluation of segmental tunnel lining with voids in outside backfill” [1].

Original languageEnglish
Article number107993
JournalData in Brief
Volume41
DOIs
Publication statusPublished - Apr 2022
Externally publishedYes

Keywords

  • Ground-penetrating radar
  • Heterogeneity
  • Jointly constructed tunnel
  • Over-under-excavation
  • Terrestrial laser scanning

ASJC Scopus subject areas

  • General

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