Results 261 to 270 of about 36,144 (312)

Condition Monitoring of Railway Bridges Using Vehicle Pitch to Detect Scour. [PDF]

open access: yesSensors (Basel)
McGeown C   +5 more
europepmc   +1 more source

Scour Depth at Bridges: Method Including Soil Properties. I: Maximum Scour Depth Prediction

Journal of Geotechnical and Geoenvironmental Engineering - ASCE, 2015
Scour of the soil by flowing water around bridge supports is the number one reason for bridge collapse. Predicting the depth of the scour hole is an integral part of the bridge foundation design, as it impacts the depth of the piles. Indeed, the scour depth must be ignored in the vertical and horizontal resistance of the piles.
Jean-Louis Briaud
exaly   +2 more sources

Hydrographs and Estimates of Scour Depth Excess for Pier Scour Prediction

Transportation Research Record: Journal of the Transportation Research Board, 2011
A practical procedure for using the Scour Rate in Cohesive Soils (SRICOS) method to predict bridge pier scour depth in ungauged streams is presented. The procedure is illustrated by the Interstate 90 westbound bridge over Split Rock Creek in South Dakota.
Francis C. K. Ting   +2 more
openaire   +1 more source

Multi-lens pier scour monitoring and scour depth prediction

Proceedings of the Institution of Civil Engineers - Water Management, 2014
Severe pier scour is usually the major cause of bridge failures. It is therefore crucial to develop various scour monitoring techniques and prediction models for real-time warning of bridge safety. In the present study, a multi-lens monitoring system for pier scour under laboratory conditions has been developed.
Wen-Yi Chang   +5 more
openaire   +1 more source

Scour depth modelling by a multi-objective evolutionary paradigm

Environmental Modelling & Software, 2011
Local scour modelling is an important issue in environmental engineering in order to prevent degradation of river bed and safeguard the stability of grade-control structures. Many empirical formulations can be retrieved from literature to predict the equilibrium scour depth, which is usually assumed as representative of the phenomenon.
LAUCELLI, Daniele Biagio   +1 more
openaire   +2 more sources

Soft computing for prediction of river pipeline scour depth

Neural Computing and Applications, 2012
This study presents gene-expression programming (GEP) as an alternative soft computing tool for the prediction of scour below underwater pipeline across river. Actual laboratory measurements were used for the model development. The scour depth was formulated in terms of several influencing parameters.
Hazi Mohammad Azamathulla   +1 more
openaire   +1 more source

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