PREDICTION OF BRIDGE PIER SCOUR USING GENETIC PROGRAMMING

被引：7
|
作者：
Wang, Chuan-Yi [1 ]
Shih, Han-Peng [2 ]
Hong, Jian-Hao
Raikar, Rajkumar V. [3 ]
机构：
[1] Feng Chia Univ, Dept Water Resources Engn & Conservat, Taichung 40724, Taiwan
[2] Feng Chia Univ, PhD Program Civil & Hydraul Engn, Taichung 40724, Taiwan
[3] KLE Dr MS Sheshgiri Coll Engn & Technol, Dept Civil Engn, Belgaum, India
来源：
JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN | 2013年 / 21卷 / 04期
关键词：
genetic programming; pier scour; clear-water conditions; traditional equations; LOCAL SCOUR; SCALE;
D O I：
10.6119/JMST-013-0523-1
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper presents the use of genetic programming (GP) as a tool to predict pier scour depths based on clear-water conditions of laboratory measurements by past researchers. Four main dimensionless parameters-pier width, approaching flow depth, threshold flow velocity, and channel open-ratio-are considered for predicting the scour depth. The performance of the GP equation is verified by comparing the results with those obtained by empirical equations. It is found that the scour depth at bridge piers can be efficiently predicted using the GP model. The advantage of the GP model is confirmed by comparing the GP results of scour depths with the large-scale model studies and field data.
引用
收藏
页码：483 / 492
页数：10
相关论文
共 50 条
  • [1] Genetic Programming to Predict Bridge Pier Scour
    Azamathulla, H. Md.
    Ab Ghani, Aminuddin
    Zakaria, Nor Azazi
    Guven, Aytac
    [J]. JOURNAL OF HYDRAULIC ENGINEERING, 2010, 136 (03) : 165 - 169
  • [2] Bridge pier scour prediction by gene expression programming
    Khan, Mujahid
    Azamathulla, Hazi M.
    Tufail, Mohammad
    Ab Ghani, Aminuddin
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2012, 165 (09) : 481 - 493
  • [3] Bridge pier scour prediction by gene expression programming
    Khan, Mujahid
    Azamathulla, Hazi M.
    Tufail, Mohammad
    Ab Ghani, Aminuddin
    Neill, Charles
    Andres, David
    [J]. PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-WATER MANAGEMENT, 2014, 167 (06) : 368 - 369
  • [4] Bridge Pier Scour Prediction by Multi-Objective Optimization using the Genetic Algorithm
    Kim, I.
    Fard, M. Y.
    Chattopadhyay, A.
    [J]. STRUCTURAL HEALTH MONITORING 2013, VOLS 1 AND 2, 2013, : 143 - 150
  • [5] Numerical study of the bridge pier scour using gene expression programming
    Saleh, Layla Ali Mohammed
    Majeed, Sumayah Amal Al-din
    Alnasrawi, Fatin Abd el-kadhium M.
    [J]. JOURNAL OF APPLIED WATER ENGINEERING AND RESEARCH, 2019, 7 (04): : 287 - 294
  • [6] Genetic Programming to Predict Bridge Pier Scour (vol 136, pg 165, 2010)
    Azamathulla, H. Md.
    Ab Ghani, Aminuddin
    Zakaria, Nor Azazi
    Guven, Aytac
    [J]. JOURNAL OF HYDRAULIC ENGINEERING, 2013, 139 (09) : 1020 - 1020
  • [7] A new model developed by multigene genetic programming for the temporal evolution of bridge pier scour
    Zhang, Wenjun
    Rennie, Colin D.
    Nistor, Ioan
    [J]. CANADIAN JOURNAL OF CIVIL ENGINEERING, 2023, 50 (07) : 549 - 559
  • [8] Prediction of Bridge Pier Scour Depth and Field Scour Depth Monitoring
    Lee, Fong-Zuo
    Lai, Jihn-Sung
    Lin, Yuan-Bin
    Chang, Kuo-Chun
    Liu, Xiaoqin
    Huang, Cheng-Chia
    [J]. NINTH INTERNATIONAL CONFERENCE ON FLUVIAL HYDRAULICS (RIVER FLOW 2018), 2018, 40
  • [9] PREDICTION OF SCOUR VELOCITY PROFILE AT BRIDGE PIER.
    Ibrahim, Abdul Aziz
    [J]. Jurnal Institusi Jurutera Malaysia, 1987, (40): : 52 - 59
  • [10] Role of Regression Models in Bridge Pier Scour Prediction
    Thendiyath, Roshni
    Prakash, Vijay
    [J]. INTERNATIONAL JOURNAL OF APPLIED METAHEURISTIC COMPUTING, 2020, 11 (02) : 156 - 170
12345