工程地质学报2024，Vol.32Issue(1)：216-226,11.DOI:10.13544/j.cnki.jeg.2021-0724
三峡库区河道滑坡涌浪消减简单结构物型式优化研究
STUDY ON THE OPTIMIZATION OF THE SIMPLE STRUCTURE TYPE FOR RIVER LANDSLIDE SURGE REDUCTION IN THREE GORGES RES-ERVOIR AREA
摘要
Abstract
Changes in the water level in the Three Gorges Reservoir area have increased the frequency of landslide surges in the river,posing a threat to the safety of people's lives and property.To address this issue,reduction anal-ysis of the energy generated by the landslide surge physical model tests was conducted.The analysis focused on wave dissipation efficiency,wave dissipation mechanisms,and the comprehensiveness of plate types(T-shaped,cross type),fence types(single-row type,multi-row type),and multi-hole types(integral type,split type)of wave structures.Key conclusions drawn from comparative analysis include:The fence type single-row structure is most ef-fective in river emergency situations and wave reduction.Wave dissipation mechanisms involve incident wave reflec-tion,vertical wave breaker blocking water body movement,floating board and water body friction,and backflow.Through comparative tests,the parameters of the single-row fence type wave-absorbing structure were optimized.The optimal design formula for the fence-type energy-dissipating structure was deduced,indicating that the efficien-cy of wave dissipation(β≥15％)and applicability is best when the L/hw ratio falls within the range of 0.65 to 0.75.The method of calculating the optimal energy dissipation efficiency value under two-dimensional conditions was applied to discuss the solution method for the optimal value of the three-dimensional energy dissipation struc-ture.The study also provides prevention and control measures along with suggestions for the practical application of energy dissipation structures.关键词
三峡库区/滑坡涌浪/消浪结构物/涌浪消减/消浪效率Key words
Three Gorges Reservoir area/Landslide surge/Wave structure/Surge mitigation/Wave dissipation efficiency分类
建筑与水利引用本文复制引用
许凯凯,张全,黄波林,李宏林,冯万里,闫国强..三峡库区河道滑坡涌浪消减简单结构物型式优化研究[J].工程地质学报,2024,32(1):216-226,11.基金项目
国家重点研发计划项目(资助号:2018YFC1504806,2018YFC1504803).This research is supported by the National Key R&D Program(Grant Nos.2018YFC1504806,2018YFC1504803). （资助号:2018YFC1504806,2018YFC1504803）
