Experimental investigation of storm sewer geyser using a large-scale setup

被引:1
|
作者
Mahyawansi, Pratik [1 ]
Zanje, Sumit R. [2 ]
Sharifi, Abbas [2 ]
McDaniel, Dwayne [1 ]
Leon, Arturo S. [1 ]
机构
[1] Florida Int Univ, Mech & Mat Engn, Miami, FL 33174 USA
[2] Florida Int Univ, Civil & Environm Engn, Miami, FL 33174 USA
基金
美国国家科学基金会;
关键词
Compendex;
D O I
10.1063/5.0199012
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The storm sewer geyser is a process where an air-water mixture violently erupts from a manhole. Despite the low hydrostatic pressure, violent eruptions can achieve a height of tens of meters above the ground. This current study experimentally investigates large-scale violent geysers using a large air pocket inserted from a pressurized air tank. The total length of the pipe system is approximately 88 m with a 0.1572 m diameter pipe. This large-scale experiment facilitates the investigation of spontaneous geyser eruptions. This study identifies the role of air-water volume ratio and coefficient of pressure (ratio of absolute initial static pressure to initial dynamic pressure) on the geyser intensity using eruption images and pressure plots. A total of 116 cases are tested, in which the volume ratio is parametrically increased from 0 to 1.1 under various operating conditions. A geyser score is defined to quantify the geyser eruption nature based on visual observations. The key findings are as follows: first, a sharp transition in geyser intensity is observed at the critical volume ratio of 0.5, and pre-transition and post-transition intensity exhibit a linear relationship with the volume ratio; and second, the critical volume ratio linearly varies with the coefficient of pressure.
引用
收藏
页数:12
相关论文
共 20 条
  • [1] Large-scale triaxial experimental investigation of geomechanical dilation start-up for SAGD dual horizontal wells in shallow heavy oil reservoirs
    Wang, Xiaohua
    Sun, Xingge
    Luo, Chihui
    Zhang, Fengshou
    Xu, Bin
    Journal of Petroleum Science and Engineering, 2021, 203
  • [2] Parameter Space Visualization for Large-scale Datasets Using Parallel Coordinate Plots
    Glendenning, Kurtis
    Wischgoll, Thomas
    Harris, Jack
    Vickery, Rhonda
    Blaha, Leslie
    JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2016, 60 (01)
  • [3] A large-scale wind turbine model installed on a floating structure:experimental validation of the numerical design
    Taruffi, Federico
    Di Carlo, Simone
    Muggiasca, Sara
    Belloli, Marco
    WIND ENERGY SCIENCE, 2023, 8 (01) : 71 - 84
  • [4] Development of high temperature superconducting current feeders for a large-scale superconducting experimental fusion system
    Natl. Inst. for Fusion Sci. , Toki, Gifu 509-5292, Japan
    IEEE Trans Appl Supercond, 1 II (2611-2614):
  • [5] Large-Scale Connectionist Natural Language Parsing Using Lexical Semantic and Syntactic Knowledge
    Nkantah, Dianabasi Edet
    1600,
  • [6] High-temperature electrolysis for large-scale hydrogen production from nuclear energy - Experimental investigations
    Idaho National Laboratory, Thermal Science and Safety Analysis, 2525 Fremont Ave, Idaho Falls, ID 83415, United States
    不详
    Int J Hydrogen Energy, 10 (4861-4870):
  • [7] Vibration tests on pile-group foundations using large-scale blast excitation
    Tanaka, Hideo
    Hijikata, Katsuichirou
    Hashimoto, Takayuki
    Fujiwara, Kazushige
    Kontani, Osamu
    Miyamoto, Yuji
    Suzuki, Atsushi
    Nucl Eng Des, 17-19 (2087-2098):
  • [8] Using large-scale geotechnical modelling to solve mining tasks at a gold-copper mine
    Dundee Precious Metals Chelopech EAD, Sofia District, Chelopech, Bulgaria
    不详
    Geomech. Geodyn. Rock Masses - Sel. Pap. Euro. Rock Mech. Symp., (465-470):
  • [9] EVALUATION OF STRENGTH RELIABILITY OF POWER PLANT MACHINE COMPONENTS USING LARGE-SCALE MODELS.
    Iwasaki, Tsutomu
    Ito, Hideo
    Hitachi Review, 1979, 28 (01): : 37 - 42
  • [10] Large-scale automatic depression screening using meta-data from wifi infrastructure
    Ware, Shweta
    Yue, Chaoqun
    Morillo, Reynaldo
    Lu, Jin
    Shang, Chao
    Kamath, Jayesh
    Bamis, Athanasios
    Bi, Jinbo
    Russell, Alexander
    Wang, Bing
    Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2018, 2 (04)