GravelSens: A Smart Gravel Sensor for High-Resolution, Non-Destructive Monitoring of Clogging Dynamics

被引:0
|
作者
Koca, Kaan [1 ,2 ]
Schleicher, Eckhard [3 ]
Bieberle, Andre [3 ]
Haun, Stefan [1 ]
Wieprecht, Silke [1 ]
Noack, Markus [2 ]
机构
[1] Univ Stuttgart, Inst Modelling Hydraul & Environm Syst, D-70569 Stuttgart, Germany
[2] Karlsruhe Univ Appl Sci, Fac Architecture & Civil Engn, D-76133 Karlsruhe, Germany
[3] Helmholtz Zentrum Dresden Rossendorf, D-01328 Dresden, Germany
关键词
wire-mesh sensor; conductance sensor; pore-filling measurement; two-phase flow; porous media; gravel bed; fine sediment; clogging; sediment deposition; sediment transport; FINE SEDIMENT INFILTRATION; WIRE-MESH SENSORS; SUSPENDED SEDIMENT; SPAWNING GRAVELS; TRANSPORT; DEPOSITION; HABITAT; EROSION; SYSTEMS; SURFACE;
D O I
10.3390/s25020536
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Engineers, geomorphologists, and ecologists acknowledge the need for temporally and spatially resolved measurements of sediment clogging (also known as colmation) in permeable gravel-bed rivers due to its adverse impacts on water and habitat quality. In this paper, we present a novel method for non-destructive, real-time measurements of pore-scale sediment deposition and monitoring of clogging by using wire-mesh sensors (WMSs) embedded in spheres, forming a smart gravel bed (GravelSens). The measuring principle is based on one-by-one voltage excitation of transmitter electrodes, followed by simultaneous measurements of the resulting current by receiver electrodes at each crossing measuring pores. The currents are then linked to the conductive component of fluid impedance. The measurement performance of the developed sensor is validated by applying the Maxwell Garnett and parallel models to sensor data and comparing the results to data obtained by gamma ray computed tomography (CT). GravelSens is tested and validated under varying filling conditions of different particle sizes ranging from sand to fine gravel. The close agreement between GravelSens and CT measurements indicates the technology's applicability in sediment-water research while also suggesting its potential for other solid-liquid two-phase flows. This pore-scale measurement and visualization system offers the capability to monitor clogging and de-clogging dynamics within pore spaces up to 10,000 Hz, making it the first laboratory equipment capable of performing such in situ measurements without radiation. Thus, GravelSens is a major improvement over existing methods and holds promise for advancing the understanding of flow-sediment-ecology interactions.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] A simple, high-resolution, non-destructive method for determining the spatial gradient of the elastic modulus of insect cuticle
    Eshghi, Sh.
    Jafarpour, M.
    Darvizeh, A.
    Gorb, S. N.
    Rajabi, H.
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2018, 15 (145)
  • [32] Non-destructive monitoring of apple ripeness using an aldehyde sensitive colorimetric sensor
    Kim, Yong Hoon
    Yang, Yun Jae
    Kim, Jin Se
    Choi, Dong Soo
    Park, Seok Ho
    Jin, So Yeon
    Park, Jung Su
    FOOD CHEMISTRY, 2018, 267 : 149 - 156
  • [33] Non-destructive repetitive readout in high resolution silicon detectors.
    Castoldi, A
    Gatti, E
    Geraci, A
    Guazzoni, C
    Longoni, A
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 2000, 47 (04) : 1346 - 1352
  • [34] A CMOS high-speed non-destructive intermediate image sensor
    Handoko, D.
    Kawahito, S.
    Tadokoro, Y.
    Matsuzawa, A.
    Kyokai Joho Imeji Zasshi/Journal of the Institute of Image Information and Television Engineers, 2001, 55 (02): : 264 - 270
  • [35] Application of Phase-Reversal Fresnel Zone Plates for High-Resolution Robotic Ultrasonic Non-Destructive Evaluation
    Dolmatov, Dmitry O.
    Tarrazo-Serrano, Daniel
    Filippov, German A.
    Uris, Antonio
    Sednev, Dmitry A.
    SENSORS, 2021, 21 (23)
  • [36] High-resolution patterning of colloidal quantum dots via non-destructive, light-driven ligand crosslinking
    Yang, Jeehye
    Hahm, Donghyo
    Kim, Kyunghwan
    Rhee, Seunghyun
    Lee, Myeongjae
    Kim, Seunghan
    Chang, Jun Hyuk
    Park, Hye Won
    Lim, Jaehoon
    Lee, Minkyoung
    Kim, Hyeokjun
    Bang, Joohee
    Ahn, Hyungju
    Cho, Jeong Ho
    Kwak, Jeonghun
    Kim, BongSoo
    Lee, Changhee
    Bae, Wan Ki
    Kang, Moon Sung
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [37] Non-destructive high-resolution X-ray micro computed tomography for quantifying dry water particles
    Farhang, Faezeh
    Nguyen, Tuan D.
    Nguyen, Anh V.
    ADVANCED POWDER TECHNOLOGY, 2014, 25 (04) : 1195 - 1204
  • [38] High-resolution non-destructive 3D interrogation of dentin using X-ray nanotomography
    Parkinson, Charles R.
    Sasov, Alexander
    DENTAL MATERIALS, 2008, 24 (06) : 773 - 777
  • [39] High-resolution patterning of colloidal quantum dots via non-destructive, light-driven ligand crosslinking
    Jeehye Yang
    Donghyo Hahm
    Kyunghwan Kim
    Seunghyun Rhee
    Myeongjae Lee
    Seunghan Kim
    Jun Hyuk Chang
    Hye Won Park
    Jaehoon Lim
    Minkyoung Lee
    Hyeokjun Kim
    Joohee Bang
    Hyungju Ahn
    Jeong Ho Cho
    Jeonghun Kwak
    BongSoo Kim
    Changhee Lee
    Wan Ki Bae
    Moon Sung Kang
    Nature Communications, 11
  • [40] Preface for special issue "non-destructive testing and structural health monitoring for smart cities"
    Chen, Pengpeng
    Chen, Liangyin
    Yin, Xiaokang
    NONDESTRUCTIVE TESTING AND EVALUATION, 2024, 39 (01) : 1 - 2