Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review-Reference-Cited by-同舟云学术

Application of artificial intelligence-based single and hybrid models in predicting seepage and pore water pressure of dams: A state-of-the-art review

Published:2022-11 Issue: Volume:173 Page:103268
ISSN:0965-9978
Container-title:Advances in Engineering Software
language:en
Short-container-title:Advances in Engineering Software

Author:

Beiranvand Behrang,Rajaee Taher

Publisher

Elsevier BV

Subject

General Engineering,Software

Reference86 articles.

1. Study of the arching ratio in earth dam by comparing the results of monitoring with numerical analysis (case study: marvak dam);Beiranvand;Iran J Sci Technol Trans Civil Eng,2021

2. An Investigation on performance of the cut off wall and numerical analysis of seepage and pore water pressure of Eyvashan earth dam;Beiranvand;Iran J Sci Technol Trans Civil Eng,2021

3. Quasi-static and dynamic analysis of pore water pressure in Azadi earth dams using Abaqus software;Beiranvand;Arab J Geosci,2021

4. Seepage and Stability Analysis of the Eyvashan Earth Dam under Drawdown Conditions;Komasi;Civil Eng Infrastruct J,2021

5. Development and application of underground space use in Hong Kong;Wallace;Tunnell Underground Space Technol,2016

Cited by 36 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Progressive failure process-considered deformation safety diagnosis method for in-service high arch dam;Engineering Failure Analysis;2024-09

2. Enhanced Earth and Rockfill Dam Seepage Forecasting via an Integrated PLS-BO-BiLSTM Approach: A Novel Model Incorporating Lag Effects and Optimization Algorithms;2024-08-06

3. Nonlinear dynamic engineering processes modeling using a lyapunov-stability based novel locally connected recurrent pi-sigma neural network: design, simulation, and a comparative study;Evolving Systems;2024-07-24

4. Artificial Neural Network-aided Mathematical Model for Predicting Soil Stress-strain Hysteresis Loop Evolution;Civil and Environmental Engineering Reports;2024-07-19

5. Dam Deformation Prediction Considering the Seasonal Fluctuations Using Ensemble Learning Algorithm;Buildings;2024-07-14