Infrastructure Inspection During and After Unexpected Events - Phase III

During and after natural disasters, cities experience chaos when emergency responders have difficulty localizing and quantifying the intensity of damage to civil infrastructures and estimating the loading capacity of bridges at a time when citizens’ safety and wellbeing are in danger. A physical model of a scaled highway bridge, a damage-detection methodology, and a finite element model-updating scheme were developed in previous work. The objective of this proposed work is to integrate previously developed finite element model-updating and damage-detection schemes to develop a new methodology that quantifies/predicts the loading capacity of bridges during and after extreme natural events such as river flooding and ground movements. The research for developing the bridge loading capacity predictor (BLCP) methodology comprises the following steps: (A) integrating the previously developed model-updating and health-monitoring schemes into one module, (B) testing the integrated module using numerical simulation, (C) testing the integrated module using experimentation, (D) enhancing the integrated module to develop the BLCP, (E) testing the BLCP using static and moving loads, and (F) writing a final report. The long-term goal of this project is to integrate realtime damage-detection methodologies with computer finite element modeling and updating, data management, data visualization, and weather forecasting software to manage and determine the loading capacity and suitability of highway systems for the transportation of critical and hazardous materials during and after an extreme weather event.

Language

  • English

Project

  • Status: Completed
  • Funding: $155790
  • Contract Numbers:

    69A3551747107

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Mid-America Transportation Center

    University of Nebraska-Lincoln
    2200 Vine Street, PO Box 830851
    Lincoln, NE  United States  68583-0851
  • Managing Organizations:

    Mid-America Transportation Center

    University of Nebraska-Lincoln
    2200 Vine Street, PO Box 830851
    Lincoln, NE  United States  68583-0851
  • Performing Organizations:

    University of Iowa, Mechanical and Industrial Engineering

    3100 Seamans Center for the Engineering Arts and Sciences
    Iowa City, Iowa  United States  52242
  • Principal Investigators:

    Rahmatalla, Salam

  • Start Date: 20191213
  • Expected Completion Date: 20201231
  • Actual Completion Date: 20201231
  • USDOT Program: University Transportation Centers Program
  • Source Data: RiP Project 91994-48

Subject/Index Terms

Filing Info

  • Accession Number: 01736307
  • Record Type: Research project
  • Source Agency: Mid-America Transportation Center
  • Contract Numbers: 69A3551747107
  • Files: UTC, RIP
  • Created Date: Apr 17 2020 3:37PM