Identification of unstable subsurface rock structure using ground penetrating radar: An eemd-based processing method

Yang Jin, Yunling Duan

Research output: Contribution to journalArticleScientificpeer-review

4 Downloads (Pure)

Abstract

Surrounding rock quality of underground caverns is crucial to structural safety and stability in geological engineering. Classic measures for rock quality investigation are destructive and time consuming, and therefore technology evolution for efficiently evaluating rock quality is significantly required. In this paper, the non-destructive technology ground penetrating radar (GPR) assisted by an ensemble empirical mode decomposition (EEMD)-based signal processing approach is investigated for identifying unstable subsurface rock structures. By decomposing the pre-processed GPR signals into multiple intrinsic mode functions (IMFs) and residues, one typical IMF can preserve the distinct local modes and is considered to reconstruct the subterranean profile. Promising results have been achieved in simple scenarios and filed measurements. The reconstructed profiles can accurately illustrate the subsurface interfaces and eliminate the interference signals. Unstable rock structures have been identified in further field applications. Therefore, the developed approach is efficient in unstable rock structure identification.

Original languageEnglish
Article number8499
Pages (from-to)1-19
Number of pages19
JournalApplied Sciences (Switzerland)
Volume10
Issue number23
DOIs
Publication statusPublished - 2020

Keywords

  • Ensemble empirical mode decomposition
  • Ground penetrating radar
  • Radar signal processing
  • Underground detection
  • Unstable rock structure identification

Fingerprint

Dive into the research topics of 'Identification of unstable subsurface rock structure using ground penetrating radar: An eemd-based processing method'. Together they form a unique fingerprint.

Cite this