Trenchless Mechanized Inspection and Retrofitting Strategy for Buried Sewerage Systems

Integrated Trenchless Mechanized Inspection and Retrofitting system

Authors

  • Ravindra Singh Bisht Central Building Research Institute Roorkee https://orcid.org/0000-0001-5833-3703
  • Dinesh Kumar
  • Naman Garg
  • Vikesh Kumar
  • Siddharth Singh
  • Sameer
  • Soraj Kumar Panigrahi
  • Ajay Chourasia

DOI:

https://doi.org/10.56042/jsir.v82i07.2493

Keywords:

Damage detection, Fiber-reinforced polymer, In-pipe retrofitting, Mechanized system, Rubber bladder

Abstract

The conventional retrofitting method of buried sewer pipe requires heavy machinery, intensive manpower, and a longer time for rehabilitation. Such methods may also damage the nearby infrastructures and landscape. The present study explores an integrated trenchless solution for damage identification and mechanized retrofitting of domestic buried sewerage pipelines of diameter ranging 75 mm to 300 mm. A front-mounted camera of the retrofitting system assesses the damage inside the sewer pipes. The retrofitting of the damaged part of buried pipe is achieved by impregnation of Glass Fiber Reinforced Polymer (GFRP) composite sheet with 100:16 epoxy and hardener ratio. The wrapping of the GFRP sheets on damaged part is done by inflation and deflation technique with a cylindrical rubber bladder connected by a flexible rod to ensure pipe bending. The retrofitted sewer pipe can be resumed after 3-4 hours of applying the impregnated GFRP composite.

Author Biography

  • Ravindra Singh Bisht, Central Building Research Institute Roorkee
    Dr. Ravindra Singh Bisht Principal Scientist Construction Automation & Robotics (CAR) Group CSIR - Central Building Research Institute, Roorkee- 247667 Uttarakhand (INDIA) Email Id: rsbisht@cbri.res.in, rsb.mech08@gmail.com Web: http://cbri.res.in/

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Published

07-07-2023

How to Cite

Trenchless Mechanized Inspection and Retrofitting Strategy for Buried Sewerage Systems: Integrated Trenchless Mechanized Inspection and Retrofitting system . (2023). Journal of Scientific & Industrial Research (JSIR), 82(07), 767-775. https://doi.org/10.56042/jsir.v82i07.2493

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