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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Peng, Renzhu / Wang, Guoxuan / Li, Suzhen / Qiao, Qing / Wang, Yunliang / Xu, Zhaokai (2023): Fatigue assessment of buried metal pipelines under traffic loads using video monitoring data. In: Structural Health Monitoring, v. 22, n. 5 (February 2023).

    https://doi.org/10.1177/14759217231152813

  2. Li, Suzhen / Wang, Xinxin / Zhao, Ming (2015): An improved cross-correlation method based on wavelet transform and energy feature extraction for pipeline leak detection. In: Smart Structures and Systems, v. 16, n. 1 (July 2015).

    https://doi.org/10.12989/sss.2015.16.1.213

  3. Li, Suzhen / Chen, Shu (2022): Field monitoring and prediction on temperature distribution of glass curtain walls of a super high-rise building. In: Engineering Structures, v. 250 (January 2022).

    https://doi.org/10.1016/j.engstruct.2021.113405

  4. Li, Suzhen / Wu, Zhishen (2007): Development of Distributed Long-gage Fiber Optic Sensing System for Structural Health Monitoring. In: Structural Health Monitoring, v. 6, n. 2 (June 2007).

    https://doi.org/10.1177/1475921706072078

  5. Li, Suzhen / Peng, Renzhu / Liu, Zelong (2021): A surveillance system for urban buried pipeline subject to third-party threats based on fiber optic sensing and convolutional neural network. In: Structural Health Monitoring, v. 20, n. 4 (April 2021).

    https://doi.org/10.1177/1475921720930649

  6. Li, Suzhen / Wu, Zhishen (2009): Sensitivity Enhancement of Long-gage FBG Sensors for Macro-strain Measurements. In: Structural Health Monitoring, v. 8, n. 6 (June 2009).

    https://doi.org/10.1177/1475921709349264

  7. Kamrujjaman Serker, N. H. M. / Wu, Zhishen / Li, Suzhen (2009): A Nonphysics-based Approach for Vibration-based Structural Health Monitoring under Changing Environmental Conditions. In: Structural Health Monitoring, v. 9, n. 2 (September 2009).

    https://doi.org/10.1177/1475921709352149

  8. Li, Suzhen / Xiao, Zhenye / Alexandre, Olivera Matamala (2020): Substructure Identification for an Axially Loaded Member Using Local Vibration Modes. In: Journal of Structural Engineering (ASCE), v. 146, n. 7 (July 2020).

    https://doi.org/10.1061/(asce)st.1943-541x.0002695

  9. Liu, Zelong / Li, Suzhen (2020): A sound monitoring system for prevention of underground pipeline damage caused by construction. In: Automation in Construction, v. 113 (May 2020).

    https://doi.org/10.1016/j.autcon.2020.103125

  10. Gong, Chenyang / Li, Suzhen / Song, Yanjue (2019): Experimental validation of gas leak detection in screw thread connections of galvanized pipe based on acoustic emission and neural network. In: Structural Control and Health Monitoring, v. 27, n. 1 (19 December 2019).

    https://doi.org/10.1002/stc.2460

  11. Li, Suzhen / Chen, Shengjie (2018): Structural health monitoring of maglev guideway PC girders with distributed long-gauge FBG sensors. In: Structural Control and Health Monitoring, v. 25, n. 1 (January 2018).

    https://doi.org/10.1002/stc.2046

  12. Li, Suzhen / Wu, Zhishen / Zhou, Lili (2010): Health monitoring of flexural steel structures based on distributed fibre optic sensors. In: Structure and Infrastructure Engineering, v. 6, n. 3 (June 2010).

    https://doi.org/10.1080/15732470701492066

  13. Li, Suzhen / Wu, Zhishen (2010): Parametric Estimation for RC Flexural Members Based on Distributed Long-Gauge Fiber Optic Sensors. In: Journal of Structural Engineering (ASCE), v. 136, n. 2 (February 2010).

    https://doi.org/10.1061/(asce)0733-9445(2010)136:2(144)

  14. Li, Suzhen / Wu, Zhishen (2008): A Model-free Method for Damage Locating and Quantifying in a Beam-like Structure Based on Dynamic Distributed Strain Measurements. In: Computer-Aided Civil and Infrastructure Engineering, v. 23, n. 5 (July 2008).

    https://doi.org/10.1111/j.1467-8667.2008.00545.x

  15. Li, Suzhen / Peng, Xinghua (2016): Safety monitoring of underground steel pipeline subjected to soil deformation using wireless inclinometers. In: Journal of Civil Structural Health Monitoring, v. 6, n. 4 (September 2016).

    https://doi.org/10.1007/s13349-016-0194-3

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