과제정보
연구 과제 주관 기관 : National Science Council of Republic of China
참고문헌
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피인용 문헌
- Tension determination of stay cable or external tendon with complicated constraints using multiple vibration measurements vol.86, 2016, https://doi.org/10.1016/j.measurement.2016.02.053
- Application of digital photogrammetry techniques in identifying the mode shape ratios of stay cables with multiple camcorders vol.75, 2015, https://doi.org/10.1016/j.measurement.2015.07.037
- Determination of cable force based on the corrected numerical solution of cable vibration frequency equations vol.50, pp.1, 2014, https://doi.org/10.12989/sem.2014.50.1.037
- Application of stochastic subspace identification for stay cables with an alternative stabilization diagram and hierarchical sifting process vol.23, pp.9, 2016, https://doi.org/10.1002/stc.1836
- Diagnosis of instant and long-term damages in cable-stayed bridges based on the variation of cable forces 2018, https://doi.org/10.1080/15732479.2017.1375962
- Localization and quantification of partial cable damage in the long-span cable-stayed bridge using the abnormal variation of temperature-induced girder deflection pp.15452255, 2018, https://doi.org/10.1002/stc.2281
- Stable modal identification for civil structures based on a stochastic subspace algorithm with appropriate selection of time lag parameter vol.4, pp.4, 2013, https://doi.org/10.12989/smm.2017.4.4.331
- A novel tension estimation approach for elastic cables by elimination of complex boundary condition effects employing mode shape functions vol.166, pp.None, 2013, https://doi.org/10.1016/j.engstruct.2018.03.070
- Sensor fault diagnosis for bridge monitoring system using similarity of symmetric responses vol.23, pp.3, 2019, https://doi.org/10.12989/sss.2019.23.3.279
- Tension prediction for straight cables based on effective vibration length with a two-frequency approach vol.222, pp.None, 2013, https://doi.org/10.1016/j.engstruct.2020.111121
- Frequency-based tension assessment of an inclined cable with complex boundary conditions using the PSO algorithm vol.79, pp.5, 2013, https://doi.org/10.12989/sem.2021.79.5.619