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Cassandra Rutherford

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Identifying Bridge Scour Susceptibility: A GIS-based Approach Cassandra Rutherford Master of Science Candidate Department of Civil Engineering – PowerPoint PPT presentation

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Title: Cassandra Rutherford


1
Identifying Bridge Scour Susceptibility A
GIS-based Approach


  • Cassandra Rutherford
  • Master of Science Candidate
  • Department of Civil Engineering

2
Project Objective
  • To develop a GIS-based method to evaluate the
    potential for scour at bridges and to identify
    those structures that are scour susceptible.

3
Presentation Overview

Bridge Scour
Case Study
Progress
GIS-based Approach
Available Data
Future Work
Methodology
Questions
4
Bridge Scour
  • Bridge scour is the
  • erosion of streambed
  • soils and sediment
  • that provide support
  • for bridge foundations.

5
Bridge Scour
  • The primary variables that effect scour
  • Bed materials
  • Channel protection
  • Channel and bridge geometry
  • Flow hydraulics

6
Bridge Scour
  • Of the 832 bridge failures since 1950, 60 were
    related to scour.
  • 50 million spent annually in Federal aid for
    scour related bridge failures and repairs.
  • 3 bridges failures have resulted in the loss of
    25 lives in the last 15 years.

7
Bridge Scour
  • Over the 49,186
  • bridges in Texas . . .
  • 40,814 bridges
  • over waterways
  • 688 bridges
  • scour critical

8
Bridge Scour
  • Scour critical bridges structural integrity
    potentially jeopardized due
  • to scour. Requires Level II Analysis.
  • Level II Analysis developed in HEC 18
    requires on site investigation, bridge foundation
    information, modeling of stream

9
Bridge Scour
  • Scour susceptible bridges likelihood that
    bridge may be vulnerable to scour.
  • Current methods require large database of
    analyzed bridges for comparisons, or envelope
    curves based on historical scour measurements.

10
GIS-based Approach
  • Due to the large number of bridges, their
    spatial distribution, wide variety of data
    required and cost of performing Level II
    analysis, a robust method of analysis is
    required. GIS is an effective means for spatially
    storing the database, analyzing the data and
    presenting the results.
  • Prioritization of bridges susceptible to
    scour can be more easily accomplished using a GIS
    scheme than previous methods.

11
General Methodology

Data Processing
Validation
Analysis
12
Available Data
  • USGS Harris County Surface-Water Data
  • - daily stream flow and measurements
  • provides gage location, channel width, cross
    section area, velocity, gage height, discharge
    and drainage area.

13
Available Data
  • Federal Highway Administration
  • National Bridge
    Inventory (NBI)
  • Database
  • - electronic database coded by DOTs
  • provides data on bridges such as structural
    type, number of spans, geometry, length, width,
    channel protection, etc.

14
Available Data
  • USDA NRCS
  • SSURGO Soil Data
  • - shapefile of county along with multiple tables
    providing soil information such as
    classification, hydrologic group, sieve passing
    percents, soil erodibility factor, etc.

15
General Methodology

Data Processing
Validation
Analysis
16
Case Study Harris County

17
Case Study Harris County
  • Datasets Used
  • Texas Bridge Database (NBI)
  • USGS DEM (124,000) Harris County (TNRIS)
  • Harris County data files
  • Texas Counties shapefile (ESRI)
  • Reach Files Version 3 (EPA)
  • Harris County Soils shapefile (SSURGO)
  • Harris County Stream gages (USGS)
  • TIN Data for Buffalo Bayou (Dodson)

18
Case Study Harris County

19
Case Study Harris County

20
Case Study Harris County
  • Erodibility

21
Case Study Harris County
  • Bridges with Erosive Soils

22
Case Study Harris County
  • Channel Protection

  • lt 6

N Not over water
9 None needed
8 Well vegetated
7 Minor damage
6 Slumping
5 Eroded
4 Extensive erosion
3 Protection failing
2 State of collapse
1 Bridge closed
23
Case Study Harris County
  • Scour Susceptible Bridges

24
Case Study Buffalo Bayou
  • Selected 2 Bridges on Buffalo Bayou to model
    total scour in HEC RAS

25
General Methodology

Data Processing
Validation
Analysis
HEC GeoRas
26
HEC GeoRAS

Used to develop the spatial data required to
generate a HEC-RAS import file with a defined 3-D
stream network and 3-D cross sections
27
HEC GeoRAS

Buffalo Bayou Triangular Irregular Network (TIN)
data is required. Contours are created to allow
ArcView to refresh more quickly.
28
HEC GeoRAS
  • The following themes must be created
  • Stream Centerline
  • Main Channel Banks
  • Flow Path Centerline
  • Cross-Sectional Cut Lines
  • and Land Use

29
General Methodology

Data Processing
Validation
Analysis
30
HEC RAS
  • An accurate hydraulic models of river reach
    containing bridge must be developed before scour
    calculations can be performed.

31
HEC RAS
  • Scour calculations
  • in HEC RAS require
  • Depth at bridge
  • Velocity
  • Number of piers

32
General Methodology

Data Processing
Validation
Analysis
HEC GeoRas
33
HEC GeoRAS
  • Scour calculations
  • results can be
  • exported back
  • into ArcView.

34
General Methodology

Data Processing
Validation
Analysis
35
Current Progress
  • Text files correctly delimited and column headers
    properly determined
  • All non-digital data made into point shapefiles
  • Data correctly projected and combined in one
    project
  • Used method to select 6 scour susceptible bridges
  • Began initial HEC-GeoRAS and HEC RAS modeling

36
Future Work
  • Generate HEC GeoRAS themes
  • Validate method by modeling 2 bridges and
    calculating the total scour using HEC RAS
  • Determine accuracy of the method
  • Automate GIS method

37
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