Internet of Things (IoT) and Remote Sensing (RS) Based on Geospatial Information System (GIS) Against Fatigue of Asphalt Bitumen

Details

• Creators:
  Bhattarai, Shova R ; Feizbahr, Mahdi
• Corporate Creators:
  Lamar University, Dept. of Civil and Environmental Engineering, TX ; Universiti Sains Malaysia. School of Civil Engineering, Malaysia.
• Subject/TRT Terms:
  • Remote sensing
  • Internet of Things
  • Geospatial data
  • Information systems
  • Laboratory tests
  • Test procedures
  • Pavements
  • Fatigue cracking
  • Ductility tests
  • Geospatial Information Systems
• DOI:
  https://doi.org/10.52547/engt.3.2208092112804
• Resource Type:
  Journal Article
• Geographical Coverage:
  United States
• Edition:
  ENG Transactions, vol. 3, pp. 1-10, August 2022.
• Corporate Publisher:
  Lamar University, Dept. of Civil and Environmental Engineering, TX ; Universiti Sains Malaysia. School of Civil Engineering, Malaysia
• Description:
  This work investigated the Geospatial Information System (GIS) as a low-cost, high-precision, and rapid method for identifying the (RAP). This work also showed that (GIS) can be linked to new techniques including Remote Sensing (RS) and the Internet of Things (IoT) which can be serious subjects for research in the field of pavement engineering. The results of the present work showed that Remote Sensing (RS) has reduced fatigue and thermal cracks. Moreover, for modified asphalt samples, tests of Marshall stability, flow, resilience modulus, repeated load axial, uniaxial creep and indirect tensile fatigue were carried out.
• Content Notes:
  This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) license https://creativecommons.org/licenses/by/4.0/. Please cite this article as: S. R. Bhattarai, M. Feizbahr, “Internet of things (IoT) and remote sensing (RS) based on geospatial information system (GIS) against fatigue of asphalt bitumen,” ENG Transactions, vol. 3, pp. 1-10, August 2022,
  
  https://doi.org/10.52547/engt.3.2208092112804
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/73321/dot_73321_DS1.pdf
• File Type:
  [PDF - 533.48 KB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:c5abca110c0311cf3f880b1a737c563b2dede8828c25fcc5193537266a7f19cbf8f3d08781601092a6a18e0b0001ab3ca32b4a058206804bba989f99f50975c7