Design and detection efficiency analysis of desilting replacement module in sediment accumulation environment

LI Jialong; Chen Yongcan; LI Yonglong; WANG Haoran; XIE Hui

doi:10.16511/j.cnki.qhdxxb.2023.26.004

Journal of Tsinghua University(Science and Technology) >

2023 , Vol. 63 >Issue 7: 1104 - 1112

DOI: https://doi.org/10.16511/j.cnki.qhdxxb.2023.26.004

Research Article

Design and detection efficiency analysis of desilting replacement module in sediment accumulation environment

LI Jialong ,
Chen Yongcan ,
LI Yonglong ,
WANG Haoran ,
XIE Hui

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1. Sichuan Energy Internet Research Institute, Tsinghua University, Chengdu 610071, China;
2. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China;
3. State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China;
4. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Received date: 2022-10-24

Online published: 2023-06-27

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Abstract

The drainage and energy dissipation building is an important aspect of the water conservation and hydropower project, and its structural safety is linked to the safety of the whole project. For a long time, the drainage and energy dissipation buildings have been subjected to the erosion of high pressure and high speed water, which will inevitably cause damage to the concrete structure. The apparent damage to underwater concrete structures is concealed due to the structure's uniqueness and diversity. The traditional method of diver inspection or manual inspection following cofferdam draining takes a long time and is expensive and dangerous. Using underwater robots for unmanned inspection reduces personal risk. However, the underwater robots' detection accuracy is limited due to the sediment accumulation on the bottom and poor visibility in the water, which makes it impossible to conduct timely investigations of defects and hidden dangers. This study has developed a desilting replacement module that is suitable for the conditions of sediment bottom and turbidity water and studied the mechanism design of the module, the efficiency of silt removal, and defect detection. The desilting replacement module is built in this study by examining the starting condition of sediment deposition and the features of the submerged water jet. It consists mostly of the desilting mechanism, the replacement detection mechanism, and the lifting mechanism. The Euler multiphase flow model was used to create the continuity equation and momentum equation of water and sand, and the hydrodynamic influence of the desilting replacement module was investigated. A simulation model based on Euler water-sand two-phase flow was developed using computational fluid dynamics software to mimic the desilting detection process of the desilting replacement module in the underwater sediment environment. The thickness of the sediment is considered to be 100 mm in the simulation, and the height of the sediment deposited at the beginning distance of the replacement detection shell was used as a variable to evaluate the status of the desilting replacement module when the detection effectiveness is optimal. Finally, the simulation findings are compared and examined by combining them with the real experimental data. This study verified the necessity of each mechanism in the desilting replacement module and concluded that when the initial height of sediment from the bottom of the replacement detection shell was 60 mm, the desilting detection efficiency was the highest, and the sediment of 100 mm thickness in the detection area could be removed to the remaining 10% within 1.56 s, and the total time of “desilting and detection” was 9.56 s. The silt removal replacement module's novel design tackles the underwater detection problems caused by underwater sediment accumulation and turbidity. The desilting replacement module may be carried on most existing underwater detection robots, which can significantly improve the detection ability of underwater robots in turbidity water environments. It can achieve short-term efficient single point or long-term continuous visual image acquisition in the sediment environment, depending on the operation requirements, which has a great promotion role for the application of underwater robot detection technology in the water conservation and hydropower industries.

Key words： water discharge and energy dissipation buildings; underwater vehicle; desilting replacement module; sediment accumulation; desilting and detection efficiency

Cite this article

LI Jialong , Chen Yongcan , LI Yonglong , WANG Haoran , XIE Hui . Design and detection efficiency analysis of desilting replacement module in sediment accumulation environment[J]. Journal of Tsinghua University(Science and Technology), 2023 , 63(7) : 1104 -1112 . DOI: 10.16511/j.cnki.qhdxxb.2023.26.004

References

[1] 张建民.高坝泄洪消能技术研究进展和展望[J].水力发电学报, 2021, 40(3):1-18. ZHANG J M. Hydraulics of high-speed flows:Recent achievements and future outlook[J]. Journal of Hydroelectric Engineering, 2021, 40(3):1-18.(in Chinese)
[2] 张柏楠,韩勃,李宁博,等.长距离水工隧洞运营期无人检测技术及病害识别方法研究进展[J].应用基础与工程科学学报, 2021, 29(5):1245-1264. ZHANG B N, HAN B, LI N B, et al. Research progress on unmanned inspection technology and disease identification method of long-distance hydraulic tunnels in operation period[J]. Journal of Basic Science and Engineering, 2021, 29(5):1245-1264.(in Chinese)
[3] 李伟,王秘学,刘小飞.中国水库大坝水下工程技术现状与进展[J].水利水电快报, 2022, 43(7):82-88. LI W, WANG M X, LIU X F. Current situation and progress of underwater engineering technology of reservoir dams in China[J]. Express Water Resources&Hydropower Information, 2022, 43(7):82-88.(in Chinese)
[4] 李永龙,王皓冉,张华.水下机器人在水利水电工程检测中的应用现状及发展趋势[J].中国水利水电科学研究院学报, 2018, 16(6):586-590. LI Y L, WANG H R, ZHANG H. Application status and development trend of underwater robot in water and hydropower engineering detection[J]. Journal of China Institute of Water Resources and Hydropower Research, 2018, 16(6):586-590.(in Chinese)
[5] 王祥,宋子龙. ROV水下探测系统在水利工程中的应用初探[J].人民长江, 2016, 47(2):101-105. WANG X, SONG Z L. Preliminary analysis on application of ROV underwater detect system in water conservancy project[J]. Yangtze River, 2016, 47(2):101-105.(in Chinese)
[6] 徐云乾,袁明道,张旭辉,等.多波束成像声呐系统及水下机器人在水工建筑物水下结构检测中的应用[J].无损检测, 2018, 40(6):58-61. XU Y Q, YUAN M D, ZHANG X H, et al. The application of stacked beam imaging sonar system and ROV in underwater structure inspection[J]. Nondestructive Testing, 2018, 40(6):58-61.(in Chinese)
[7] 王秘学,谭界雄,田金章,等.以ROV为载体的水库大坝水下检测系统选型研究[J].人民长江, 2015, 46(22):95-98, 102. WANG M X, TAN J X, TIAN J Z, et al. Study on selection of underwater detection equipment of reservoirs and dams using ROV as carrier[J]. Yangtze River, 2015, 46(22):95-98, 102.(in Chinese)
[8] 熊小虎,柯虎,付彦伟,等.多元协同探测技术在水电工程中的应用[J].水力发电, 2020, 46(9):126-130. XIONG X H, KE H, FU Y W, et al. Application of multi-element collaborative detection technology in hydropower engineering[J]. Water Power, 2020, 46(9):126-130.(in Chinese)
[9] 唐力,肖长安,陈思宇,等.多波束与水下无人潜航器联合检测技术在水工建筑物中的应用[J].大坝与安全, 2016(4):52-55. TANG L, XIAO C A, CHEN S Y, et al. Combined application of multi-beam sounding system and unmanned submersibles vehicles in detection of hydraulic structures[J]. Dam&Safety, 2016(4):52-55.(in Chinese)
[10] 田金章,向友国,谭界雄.综合检测技术在面板堆石坝渗漏检测中的应用[J].人民长江, 2018, 49(18):103-107. TIAN J Z, XIANG Y G, TAN J X. Application of integrated leakage detection technology in detection of concrete face rockfill dam[J]. Yangtze River, 2018, 49(18):103-107.(in Chinese)
[11] 李福年,陈慕雄,田维坤. ROV原理及在阿海水电站工程中的应用[J].云南水力发电, 2013, 29(3):119-121, 133. LI F N, CHEN M X, TIAN W K. ROV principle and its application in Ahai Hydropower Station project[J]. Yunnan Water Power, 2013, 29(3):119-121, 133.(in Chinese)
[12] 来记桃.大直径长引水隧洞水下全覆盖无人检测技术研究[J].人民长江, 2020, 51(5):228-232. LAI J T. Research and application of underwater full coverage unmanned detection technology for large diameter and long diversion tunnel[J]. Yangtze River, 2020, 51(5):228-232.(in Chinese)
[13] 徐鹏飞,孟昊,李同飞,等.一种基于线结构光的水下目标3维信息测量方法[J].机器人, 2022, 44(5):564-573. XU P F, MENG H, LI T F, et al. A 3D information measuring method of underwater targets based on line-structured light[J]. Robot, 2022, 44(5):564-573.(in Chinese)
[14] 许丽,周永昊,陆桂明,等.河流自然水体中三维视觉测量[J].光学精密工程, 2021, 29(10):2465-2480. XU L, ZHOU Y H, LU G M, et al. River underwater 3D vision measurement method[J]. Optics and Precision Engineering, 2021, 29(10):2465-2480.(in Chinese)
[15] LEE H, JEONG D, YU H, et al. Autonomous underwater vehicle control for fishnet inspection in turbid water environments[J]. International Journal of Control, Automation and Systems, 2022, 20(10):3383-3392.
[16] YANG Y, HIROSE S, DEBENEST P, et al. Development of a stable localized visual inspection system for underwater structures[J]. Advanced Robotics, 2016, 30(21):1415-1429.
[17] 高胜标.水下清淤机器人的结构设计及控制系统研究[D].长沙:湖南大学, 2020. GAO S B. Structural design and control system research of underwater dredging robot[D]. Changsha:Hunan University, 2020.(in Chinese)
[18] 翟旭强.消力池水下巡检机器人结构设计与研究[D].绵阳:西南科技大学, 2020. ZHAI X Q. Structural design and simulation of the underwater inspection robot for stilling basin[D]. Mianyang:Southwest University of Science and Technology, 2020.(in Chinese)
[19] 张奇峰,张运修,张艾群.深海小型爬行机器人研究现状[J].机器人, 2019, 41(2):250-264. ZHANG Q F, ZHANG Y X, ZHANG A Q. Research status of benthic small-scale crawling robots[J]. Robot, 2019, 41(2):250-264.(in Chinese)
[20] LIN H T, ZHANG H, LI Y L, et al. 3D point cloud capture method for underwater structures in turbid environment[J]. Measurement Science and Technology, 2021, 32(2):025106.
[21] LI J H, KIM J T, LEE M J, et al. Water jetting arm optimal design consideration for a ROV trencher[C]//OCEANS 2015-Genova. Genova, Italy:IEEE, 2015:1-5.
[22] ALBITAR H, DANDAN K, ANANIEV A, et al. Underwater robotics:Surface cleaning technics, adhesion and locomotion systems[J]. International Journal of Advanced Robotic Systems, 2016, 13(1):7.
[23] 薛万云.固液两相流运动机理研究及两相流模型在工程中的应用[D].武汉:武汉大学, 2014. XUE W Y. Study of mechanism of solid-liquid two-phase flow and two-phase flow model applied in engineering[D]. Wuhan:Wuhan University, 2014.(in Chinese)
[24] E.约翰芬纳莫尔,约瑟夫B.弗朗兹尼.流体力学及其工程应用[M]. 10版.钱翼稷,周玉文,译.北京:机械工业出版社, 2006. FINNEMORE E J, FRANZINI J B. Fluid mechanics with engineering applications[M]. 10th ed. QIAN Y J, ZHOU Y W, Trans. Beijing:China Machine Press, 2006.(in Chinese)
[25] 郭威.水下冲洗与抽吸功能复合型作业工具研究[D].武汉:华中科技大学, 2020. GUO W. Research on characteristics of underwater working tools with flushing and suction combined function[D]. Wuhan:Huazhong University of Science and Technology, 2020.(in Chinese)
[26] 杨扬,庞重光,金鹰,等.长江口北槽黏性细颗粒泥沙特性的试验研究[J].海洋科学, 2010, 34(1):18-24. YANG Y, PANG C G, JIN Y, et al. Experimental study on characteristics of cohesive sediment in north passage of the Yangtze River (Changjiang) estuary[J]. Marine Sciences, 2010, 34(1):18-24.(in Chinese)
[27] 乔光全,张金凤,张庆河.温度对黏性泥沙絮凝影响的机理研究[J].泥沙研究, 2017, 42(2):35-40. QIAO G Q, ZHANG J F, ZHANG Q H. Study on the influence of temperature to cohesive sediment flocculation[J]. Journal of Sediment Research, 2017, 42(2):35-40.(in Chinese)
[28] 袁庆晴.水下移动射流开沟成形的数值模拟研究[D].上海:上海交通大学, 2019. YUAN Q Q. Numerical simulation study of trench forming induced by underwater moving jet[D]. Shanghai:Shanghai Jiao Tong University, 2019.(in Chinese)
[29] 李勇,余锡平.基于两相紊流模型的悬移质泥沙运动数值模拟[J].清华大学学报(自然科学版), 2007, 47(6):805-808. LI Y, YU X P. Two-phase turbulent flow model for suspended sediment motion[J]. Journal of Tsinghua University (Science and Technology), 2007, 47(6):805-808.(in Chinese)

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