Uncertainty of bridge scour estimates

Peggy Ann Johnson, Bilal M. Ayyub

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Pier scour is the erosion of a streambed in the vicinity of bridge pier foundations. In this paper, fuzzy regression is used to develop two pier scour models, one based on crisp laboratory data, and one based on field data. In either case, fuzzy regression provides models in which the regression coefficients are fuzzy parameters, thus producing fuzzy output. Field data is used to test and compare the equations. The models provide a range of scour estimates for any given set of input data,each with an associated degree of belief.

Original languageEnglish (US)
Title of host publicationProceedings - National Conference on Hydraulic Engineering
EditorsHsieh Wen Shen, S.T. Su, Feng Wen
PublisherPubl by ASCE
Pages2087-2091
Number of pages5
Editionpt 2
ISBN (Print)0872629201
StatePublished - Dec 1 1993
EventProceedings of the National Conference on Hydraulic Engineering - San Francisco, CA, USA
Duration: Jul 25 1993Jul 30 1993

Publication series

NameProceedings - National Conference on Hydraulic Engineering
Numberpt 2

Other

OtherProceedings of the National Conference on Hydraulic Engineering
CitySan Francisco, CA, USA
Period7/25/937/30/93

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Uncertainty of bridge scour estimates'. Together they form a unique fingerprint.

  • Cite this

    Johnson, P. A., & Ayyub, B. M. (1993). Uncertainty of bridge scour estimates. In H. W. Shen, S. T. Su, & F. Wen (Eds.), Proceedings - National Conference on Hydraulic Engineering (pt 2 ed., pp. 2087-2091). (Proceedings - National Conference on Hydraulic Engineering; No. pt 2). Publ by ASCE.