Neural network and neuro-fuzzy assessments for scour depth around bridge piers

2007 ◽  
Vol 20 (3) ◽  
pp. 401-414 ◽  
Author(s):  
S.M. Bateni ◽  
S.M. Borghei ◽  
D.-S. Jeng
Keyword(s):  
Neural Network ◽  
Bridge Piers ◽  
Scour Depth ◽  
Neuro Fuzzy

Estimation of current-induced scour depth around pile groups using neural network and adaptive neuro-fuzzy inference system

2009 ◽  
Vol 9 (2) ◽  
pp. 746-755 ◽  
Author(s):  
Mohammad Zounemat-Kermani ◽  
Ali-Asghar Beheshti ◽  
Behzad Ataie-Ashtiani ◽  
Saeed-Reza Sabbagh-Yazdi
Keyword(s):  
Neural Network ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Scour Depth ◽  
Pile Groups ◽  
Inference System ◽  
Neuro Fuzzy

Pareto design of multiobjective evolutionary neuro-fuzzy system for predicting scour depth around bridge piers

2021 ◽  
pp. 491-517
Author(s):  
Hossein Bonakdari ◽  
Isa Ebtehaj ◽  
Amir Hossein Azimi ◽  
Pijush Samui ◽  
Ahmed A. Sattar ◽  
...  
Keyword(s):  
Fuzzy System ◽  
Bridge Piers ◽  
Scour Depth ◽  
Neuro Fuzzy

Neural Network Modeling for Estimation of Scour Depth Around Bridge Piers

2007 ◽  
Vol 19 (3) ◽  
pp. 378-386 ◽  
Author(s):  
T. L. Lee ◽  
D. S. Jeng ◽  
G. H. Zhang ◽  
J. H. Hong
Keyword(s):  
Neural Network ◽  
Network Modeling ◽  
Bridge Piers ◽  
Neural Network Modeling ◽  
Scour Depth

Evaluation of Selected Pier-Scour Equations Using Field Data

1996 ◽  
Vol 1523 (1) ◽  
pp. 186-195 ◽  
Author(s):  
Mark N. Landers ◽  
David S. Mueller
Keyword(s):  
Field Measurements ◽  
Bridge Piers ◽  
Critical Ratio ◽  
Scour Depth ◽  
Flow Depth ◽  
Clear Water ◽  
Pier Scour ◽  
Logarithmic Space ◽  
State Highway ◽  
Federal Highway

Field measurements of channel scour at bridges are needed to improve the understanding of scour processes and the ability to accurately predict scour depths. An extensive data base of pier-scour measurements has been developed over the last several years in cooperative studies between state highway departments, the Federal Highway Administration, and the U.S. Geological Survey. Selected scour processes and scour design equations are evaluated using 139 measurements of local scour in live-bed and clear-water conditions. Pier-scour measurements were made at 44 bridges around 90 bridge piers in 12 states. The influence of pier width on scour depth is linear in logarithmic space. The maximum observed ratio of pier width to scour depth is 2.1 for piers aligned to the flow. Flow depth and scour depth were found to have a relation that is linear in logarithmic space and that is not bounded by some critical ratio of flow depth to pier width. Comparisons of computed and observed scour depths indicate that none of the selected equations accurately estimate the depth of scour for all of the measured conditions. Some of the equations performed well as conservative design equations; however, they overpredict many observed scour depths by large amounts. Some equations fit the data well for observed scour depths less than about 3 m (9.8 ft), but significantly underpredict larger observed scour depths.

scholarly journals Analysis of Scour Depth Around Bridge Piers With Round Nose Shape by HEC-RAS 5.0.7 Software

2021 ◽  
Vol 1764 (1) ◽  
pp. 012151
Author(s):  
C S Silvia ◽  
M Ikhsan ◽  
A Wirayuda ◽  
Mastiar
Keyword(s):  
Bridge Piers ◽  
Scour Depth ◽  
Nose Shape
Sign in / Sign up

Export Citation Format

Share Document