Functional Resilience Evaluation of Road Tunnels Through Stochastic Event Simulation and Data Analysis

Khetwal, Sandeep; Pei, Shiling; Gutierrez, Marte; Colorado School of Mines; University Transportation Center for Underground Transportation Infrastructure

doi:10.5281/zenodo.4713254

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Functional Resilience Evaluation of Road Tunnels Through Stochastic Event Simulation and Data Analysis

2020-11-30
By Khetwal, Sandeep ; Pei, Shiling ; Gutierrez, Marte

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Creators:

Khetwal, Sandeep ; Pei, Shiling ; Gutierrez, Marte

Khetwal, Sandeep ; Pei, Shiling ; Gutierrez, Marte Less -
Corporate Creators:

Colorado School of Mines ; University Transportation Center for Underground Transportation Infrastructure

Colorado School of Mines ; University Transportation Center for Underground Transportation Infrastructure Less -
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Data Disaster Resilience Highways Simulation Traffic Volume Tunnel Capacity Tunnels Vehicular Tunnels
Publication/ Report Number:

UTC-UTI-006
DOI:

https://doi.org/10.5281/zenodo.4713254
Resource Type:

Tech Report
Geographical Coverage:

United States ; Colorado

United States ; Colorado Less -
Edition:

Final Report
Corporate Publisher:

University Transportation Center for Underground Transportation Infrastructure (UTC)
Abstract:

Resilience of tunnels can have significant impact on the efficiency of the entire transportation network. The ability to assess resilience of tunnels accurately is important for tunnel owners and stakeholders when they evaluate the cost-benefit of the investment made and the monetary value of future maintenance and upgrade activities. In this thesis, a simple and direct measurement metric for tunnel functionality was proposed with the focus on the usage of road tunnels. An ideal data collection framework for tunnels was proposed to support the calculation of tunnel functionality, as well as additional data-driven analysis that can be conducted to seek correlation between tunnel design and operation parameters with its resilience. As an example, existing tunnel operational data collection practice in a large tunnel in Colorado was summarized and compared with the proposed framework. Data analysis was performed for Eisenhower Johnson Memorial Tunnel (EJMT), Colorado. Since the data for the tunnels was found to be insufficient and incomplete to perform a completely data-driven analysis, a stochastic simulation model to predict tunnel resilience over time was developed by simulation of individual disruptive events.
Format:

PDF
Funding:

69A355174711
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:12eb613af806b1d3fa5f71d3af3069f960632cc881c296c103621577d0c1fb97e54a5bfb356667dd822d58cffbc9e9300387430a6de0df27c925ea943def4141
Download URL:

https://rosap.ntl.bts.gov/view/dot/72940/dot_72940_DS1.pdf
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Functional Resilience Evaluation of Road Tunnels Through Stochastic Event Simulation and Data Analysis

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