Research on the applicability of high-precision underground exploration technology to public roads in Bangkok: Part 2 – Risk assessment of cavities beneath concrete pavement

ผู้แต่ง

  • Chana Phutthananon Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, THAILAND
  • Warach Kongkikool Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, THAILAND
  • Mitsumasa Yamashina Center for Disaster Management Informatics Research, Ehime University, Matsuyama, JAPAN
  • Jun Shinohara Center for Disaster Management Informatics Research, Ehime University, Matsuyama, JAPAN
  • Naoki Kinoshita Department of Civil and Environmental Engineering, Ehime University, Matsuyama, JAPAN
  • Amara Cheamsuphakit Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, THAILAND
  • Warakorn Seedown Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, THAILAND
  • Hirunya Silakub Department of Civil Engineering, Faculty of Engineering, King Mongkut’s University of Technology Thonburi, Bangkok, THAILAND

คำสำคัญ:

Ground penetrating radar, Cavity, Sinkhole, Risk evaluation, FEM, Physical model test

บทคัดย่อ

Detection and assessment of underground cavities have become critical in Thailand due to increasing sinkhole-related incidents. In Japan, cavity risks under asphalt pavement are classified into three categories: urgent, monitoring, and no action required, based on cavity depth and size, with detection enabled by advanced Ground Penetrating Radar Mobile Mapping System 3D (GMS3) technology. However, applying this risk classification to concrete pavement in Bangkok is complex due to differing soil and structural conditions. This study employs a two-dimensional finite element method to evaluate typical concrete pavement structures in Bangkok under varying cavity depth and size conditions. The results, categorized by slab responses, were validated through 1-g scaled-down model tests that physically simulated cavities and monitored soil and pavement responses. These findings aim to improve asset management reliability and inform effective maintenance strategies for Thailand’s road infrastructure.

ดาวน์โหลด

เผยแพร่แล้ว

2025-06-25