水科学进展2023，Vol.34Issue(5)：744-752,9.DOI:10.14042/j.cnki.32.1309.2023.05.009
基于改进SPH模型的溃坝洪水演进模拟方法
Simulation method of dam break flood propagation based on improved SPH model
摘要
Abstract
The accuracy of dam break flood propagation simulations is pivotal for the effectiveness of reservoir flood predictions.This study introduces a numerical simulation method,specifically tailored for dam break flood propagation analysis,using the smooth particle hydrodynamics(SPH)method.Through the establishment of breach particles and a particle library,the particle state was adjusted based on Riemannian invariants.Consequently,an improved SPH dam break propagation model with specific boundary conditions was developed.The spatial initialization of particles in the SPH model was transitioned to boundary initialization,facilitating the integration of the breach flow process with the SPH method at the breach boundary.Using the Malpasset dam failure as a case study,the model's accuracy in simulating dam failure floods was examined.The outcomes indicated that the model's precision was commendable,aligning well with recorded measurements.Additionally,when the model was employed to simulate the flood propagation forecast of a particular reservoir dam failure,it was used to determine the submersion depth and flood process experienced by downstream channels.The findings revealed that when the upstream reservoir experiences extraordinary flood and overflows the dam,the peak flood elevation at the channel's inverted siphon remains below the check flood level.The improved SPH model exhibited high accuracy,robust reliability,and efficient integration with the breach calculation model,making it a viable method for dam break flood propagation.关键词
溃坝洪水演进/SPH/黎曼不变量/溃口边界Key words
dam break flood propagation/SPH/Riemann invariants/breach boundary分类
建筑与水利引用本文复制引用
李同春,贾玉彤,李宏恩,郑斌,周宁,齐慧君..基于改进SPH模型的溃坝洪水演进模拟方法[J].水科学进展,2023,34(5):744-752,9.基金项目
国家重点研发计划资助项目(2022YFC3005403) （2022YFC3005403）
中央级公益性科研院所基本科研业务费专项资金资助项目(Y722008)The study is financially supported by the National Key R&D Program of China(No.2022YFC3005403)and Fundamental Research Fund for Central Public-interest Scientific Institution,China(No.Y722008). （Y722008）
