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University of Missouri--Kansas City

Assessment of HEC-18 equations for NCHRP abutment scour based on Kansas field data

Abstract

dc:description.abstract

Bridge failures are caused by many different failure mechanisms, not the least of which is scour. Scour occurs due to the erosion of streambed or bank material due to flowing water and is often considered as being localized. Recently the National Cooperative Highway Research Program (NCHRP) drafted a final report titled "Estimation of Scour Depth at Bridge Abutments, NCHRP 24-20." The method outlined in this document was adopted by HEC-18 as an alternative method for use in the estimation of scour depths due to abutment scour. This new method requires field review. The purpose of this report is to verify the validity of the NCHRP Abutment Scour Equations derived from laboratory studies. Given the requirement by several states to use the new method, finding the right equations to use for the design foundations becomes crucial. The advantage of this study is the abundant field data available for a comparison through the Kansas Department of Transportation project headed by TranSystems. A subset of the bridges is tested with the equations and comparisons are made.

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Masters
Discipline thesis:degree_discipline
Civil Engineering (UMKC)
Grantor
University of Missouri--Kansas City
Year dc:date.issued
2013

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Ambrose, Jacob Andrew
Advisor dc:contributor.advisor
  • Richardson, Jerry R. (Jerry Ray)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10355/36255
OAI identifier oai:identifier
oai:mospace.umsystem.edu:10355/36255

Chain of custody

source
Harvested from
University of Missouri - Kansas City
Base URL
mospace.umsystem.edu/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Ambrose, Jacob Andrew. Assessment of HEC-18 equations for NCHRP abutment scour based on Kansas field data. Masters thesis, University of Missouri--Kansas City, 2013. http://hdl.handle.net/10355/36255