Abstract

Abstract. Geotechnical hazards along linear transportation corridors are challenging to identify and often require constant monitoring. Inspecting corridors using traditional, manual methods requires the engineer to be unnecessarily exposed to the hazard. It also requires closure of the corridor to ensure safety of the worker from passing vehicles. This paper identifies the use of mobile terrestrial LiDAR data as a compliment to traditional field methods. Mobile terrestrial LiDAR is an emerging remote data collection technique capable of generating accurate fully three-dimensional virtual models while driving at speeds up to 100 km/h. Data is collected from a truck that causes no delays to active traffic nor does it impede corridor use. These resultant georeferenced data can be used for geomechanical structural feature identification and kinematic analysis, rockfall path identification and differential monitoring of rock movement or failure over time. Comparisons between mobile terrestrial and static LiDAR data collection and analysis are presented. As well, detailed discussions on workflow procedures for possible implementation are discussed. Future use of mobile terrestrial LiDAR data for corridor analysis will focus on repeated surveys and developing dynamic four-dimensional models, higher resolution data collection. As well, computationally advanced, spatially accurate, geomechanically controlled three-dimensional rockfall simulations should be investigated.

Highlights

  • Geotechnical hazards, especially rockfall related hazards, pose a significant concern to the management of transportation corridors (Maerz, 2000)

  • Mobile terrestrial LiDAR systems are comprised of a vehicle, a network of LiDAR sensors, a carrier-phase differential global positioning system (GPS) network, and an inertial navigation system (INS)

  • To facilitate this process a macro was written in PolyWorks to automate the creation of a plane based on selected points by the user that visually lie on the same structural surface

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Summary

Introduction

Geotechnical hazards, especially rockfall related hazards, pose a significant concern to the management of transportation corridors (Maerz, 2000). Mobile terrestrial LiDAR is a breakthrough technology for the field of geotechnical engineering that can be used effectively within a rockfall hazard management system, LiDAR data, in the form of a point-cloud, can be collected for structurally related geomechanical evaluation purposes at speeds of up to 30 km/h. At this rate, data can be quickly collected for large corridors of track or roadways. The engineers currently monitoring the ACR, for example, use a customized rockfall hazard rating assessment system (Abbott, et al, 1998) based on field observations This system aids in categorizing and rating potential hazards based on geomechanics, track configuration, and slope properties. The projects have ranged from landslide detection (McKean and Roering, 2004) to debris flow modeling (Staley et al, 2005) and flood predictions (Mason et al, 2007)

Mobile terrestrial LiDAR
Mobile terrestrial LiDAR data and static data
Feature extraction and inventory from LiDAR data
Project background
Mobile terrestrial feature extraction
Mile 94: test site workflow
Data fusion
Fusing TITAN and static data
Difference monitoring
Discussion
Conclusions
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