Monitoring soil cracking using OFDR-based distributed temperature sensing framework

被引:0
|
作者
Xu, Jin-Jian [1 ]
Tang, Chao-Sheng [1 ,2 ]
Yang, Yaowen [3 ]
Zeng, Zhao-Jun [1 ]
Li, Lin [1 ]
Cheng, Qing [1 ]
Zhang, Xi-Ying [4 ]
Shi, Bin [1 ]
机构
[1] Nanjing Univ, Sch Earth Sci & Engn, 163 Xianlin Rd, Nanjing 210023, Peoples R China
[2] Minist Nat Resources, Geol Survey Jiangsu Prov, Key Lab Earth Fissures Geol Disaster, Nanjing 210018, Peoples R China
[3] Nanyang Technol Univ, Sch Civil & Environm Engn, 50 Nanyang Ave, Singapore 639798, Singapore
[4] Chinese Acad Sci, Qinghai Inst Salt Lakes, Qinghai Prov Key Lab Geol & Environm Salt Lake, Xining 810008, Peoples R China
基金
中国国家自然科学基金;
关键词
Soil cracking; Optical frequency domain reflectometry (OFDR); Actively heated fiber-optic (AHFO); Distributed temperature sensing; Crack width prediction; QUANTIFICATION; MECHANISMS; PATTERNS;
D O I
10.1016/j.geoderma.2024.117090
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Soil cracking induced by extreme drought represents a widespread natural phenomenon occurring across the earth surface, capable of triggering multiple weakening mechanisms within surface soils, potentially leading to the instability and failure of slopes and agricultural infrastructures. This study proposes an innovative geophysical monitoring framework for detecting field soil cracking by combining the actively heated fiber-optic (AHFO) method and distributed fibre optical sensing (DFOS) based on optical frequency domain reflectometry (OFDR) technique, referred to as AH-OFDR framework. Laboratory calibration tests, field monitoring tests, numerical simulations, and sensitivity analyses were employed to comprehensively evaluate the feasibility, effectiveness, and limitations of the AH-OFDR framework for soil crack monitoring. Laboratory calibration confirmed that the DFOS-OFDR technique achieves a minimum spatial resolution and readout accuracy of 1 mm, along with a temperature measurement accuracy of +/- 0.1 degrees C. Field monitoring verified that the AH-OFDR framework can accurately detect soil cracks ranging in width from 0.01 m to 0.12 m. Additionally, numerical simulations not only validated the effectiveness of the AH-OFDR framework across a broader range of crack widths, from 0.01 m to 0.50 m, but also established a quantitative relationship between temperature changes and the spatial distribution of crack positions and widths. Notably, a critical crack width threshold of 0.30 m was identified within the AH-OFDR framework, significantly impacting the prediction of soil crack widths. Sensitivity analysis demonstrated the remarkable crack detection capabilities of the AH-OFDR framework, irrespective of the soil crack width and spacing. The AH-OFDR framework holds substantial potential as an innovative and highresolution observational method for advancing our understanding of diverse geological and hydrogeological processes.
引用
收藏
页数:14
相关论文
共 50 条
  • [41] Distributed fiber-optic sensing system with OFDR and its applications to structural health monitoring
    Murayama, H.
    Kageyama, K.
    Uzawa, K.
    Igawa, H.
    Omichi, K.
    Machijima, Y.
    SECOND INTERNATIONAL CONFERENCE ON SMART MATERIALS AND NANOTECHNOLOGY IN ENGINEERING, 2009, 7493
  • [42] Distributed FBG vibration sensing based on OFDR employing a DFB-LD
    Wu, Linyu
    Wang, Changjia
    Hou, Yarong
    Liu, Quan
    Li, Zhengying
    2018 10TH INTERNATIONAL CONFERENCE ON MEASURING TECHNOLOGY AND MECHATRONICS AUTOMATION (ICMTMA), 2018, : 212 - 215
  • [43] Distributed acoustic sensing based on correlation analysis of fast and linear sweep OFDR
    Xie, Lianlian
    Wang, Zinan
    Xiong, Ji
    Rao, Yunjiang
    2017 16TH INTERNATIONAL CONFERENCE ON OPTICAL COMMUNICATIONS & NETWORKS (ICOCN 2017), 2017,
  • [44] Research on Large Range OFDR Distributed Temperature Sensing Technology Based on Frequency Sampling and Moving Reference Spectral Method
    Li Yitong
    Zhang Liyun
    Li Sibo
    Shang Chuanyin
    Wang Xingfei
    Peng Wenxiu
    Li Peng
    AOPC 2023:OPTIC FIBER GYRO, 2023, 12968
  • [45] Feasibility of soil moisture estimation using passive distributed temperature sensing
    Steele-Dunne, S. C.
    Rutten, M. M.
    Krzeminska, D. M.
    Hausner, M.
    Tyler, S. W.
    Selker, J.
    Bogaard, T. A.
    de Giesen, N. C. van
    WATER RESOURCES RESEARCH, 2010, 46
  • [46] Obstacles to long-term soil moisture monitoring with heated distributed temperature sensing
    Sourbeer, John J.
    Loheide, Steven P., II
    HYDROLOGICAL PROCESSES, 2016, 30 (07) : 1017 - 1035
  • [47] Performance Study of a Zirconia-Doped Fiber for Distributed Temperature Sensing by OFDR at 800 °C
    Bulot, Patrick
    Bernard, Remy
    Cieslikiewicz-Bouet, Monika
    Laffont, Guillaume
    Douay, Marc
    SENSORS, 2021, 21 (11)
  • [48] Application of distributed temperature sensing for cracking control of mass concrete
    Ouyang, Jianshu
    Chen, Xianming
    Huangfu, Zehua
    Lu, Cheng
    Huang, Dahai
    Li, Yangbo
    CONSTRUCTION AND BUILDING MATERIALS, 2019, 197 : 778 - 791
  • [49] Monitoring of soil nailed slope stabilizations using distributed fiber optic sensing
    Monsberger, Christoph
    Lienhart, Werner
    Hirschmueller, Sebastian
    Marte, Roman
    SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2018, 2018, 10598
  • [50] Combined distributed temperature sensing and current monitoring
    Kraemer, Sebastian G. M.
    Feichter, Wilhelm
    Leon, Fernando Puente
    Stromberger, Joerg
    FIBER OPTIC SENSORS AND APPLICATIONS V, 2007, 6770