Li, H.-J., Zhu, H.-H., Li, Y.-H., Hu, W., Shi, B. (2020). Fiber Bragg grating-based flume test to study the initiation of landslide-debris flows induced by concentrated runoff. Geotechnical Testing Journal, 44, online.
Zhang, L., Shi, B., Zhu, H.-H., Yu, X., and Wei, G.Q. (2020). A machine learning method for inclinometer lateral deflection calculation based on distributed strain sensing technology. Bulletin of Engineering Geology and the Environment, 79, 3383-3401.
Wu, H., Zhu, H.-H., Zhang, C.-C., Zhou, G.-Y., Zhu, B., Zhang, W. and Azarafza, M. (2020). Strain integration-based soil shear displacement measurement using high-resolution strain sensing technology. Measurement, 166, 108210.
Zhang, C.-C., Zhu, H.-H., Liu, S.-P., Shi, B., and Cheng, G. (2020). Quantifying progressive failure of micro-anchored fiber optic cable–sand interface via high-resolution distributed strain sensing. Canadian Geotechnical Journal, 57(6), 871-881.
Zhang, C.-C., Shi, B., Zhu, H.-H., Wang, B.-J., and Wei, G.-Q. (2020). Toward distributed fiber-optic sensing of subsurface deformation: a theoretical quantification of ground-borehole-cable interaction. Journal of Geophysical Research: Solid Earth, 125(3), e2019JB01887.
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Cao, D., Shi, B., Zhu, H.-H., Wei, G., Bektursen, H., and Sun M. (2019). A field study on the application of distributed temperature sensing technology in thermal response tests for borehole heat exchangers. Bulletin of Engineering Geology and the Environment, 78, 3901–3915. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Chen, D.-D., Xu, X.-Y., Shi, B., and Chen, X.-P. (2019). Feasibility study of anchored fiber-optic strain-sensing arrays for monitoring soil deformation beneath model foundation. Geotechnical Testing Journal, 42(4), 966-984. (SCI, EI)
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Cao, D., Shi, B., Wei, G.-Q., Chen, S.E., and Zhu, H.-H. (2018). An improved distributed sensing method for monitoring soil moisture profile using heated carbon fibers. Measurement, 123, 175-184. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Liu, S.-P., Shi, B., and Zhang, D. (2018). A kinematic method for calculating shear displacements of landslides using distributed fiber optic strain measurements. Engineering Geology, 234, 83–96. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Shi, B., and Fatahi, B. (2018). A long term evaluation of circular mat foundations on clay deposits using fractional derivatives. Computers and Geotechnics, 94, 72-82.(SCI, EI)
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Zhu, H.-H., Zhang, C.-C., Mei, G.-X., Shi, B., and Gao, L. (2017). Prediction of one-dimensional compression behavior of Nansha clay using fractional derivatives. Marine Georesources and Geotechnology, 35(5), 688-697. (SCI, EI)
Zhu, H.-H., Shi, B., and Zhang, C.-C. (2017). FBG-based monitoring of geohazards: current status and trends. Sensors, 17(3), 452. (SCI, EI)
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Zhu, H.-H., Wang, Z.-Y.,Shi, B., and Wong, J.K.W. (2016). Feasibility study of strain based stability evaluation of locally loaded slopes: insights from physical and numerical modeling. Engineering Geology, 208, 39-50. (SCI, EI)
Chen, X.-P., Zhu, H.-H., Huang, J.-W., and Liu, D. (2016). Stability analysis of an ancient landslide considering shear strength reduction behavior of slip zone soil. Landslides, 13(1), 173-181. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Shi, B., She, J.-K., and Zhang, D. (2016). Performance evaluation of soil-embedded plastic optical fiber sensors for geotechnical monitoring. Smart Structures and Systems, 17(2), 297-311. (SCI, EI)
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Zhu, H.-H., She, J.-K., Zhang, C.-C., and Shi, B. (2015). Experimental study on pullout performance of sensing optical fibers in compacted sand. Measurement, 73, 284-294. (SCI, EI)
Zhu, H.-H., Shi, B., Yan, J.F., Zhang, J., and Wang, J. (2015). Investigation of the evolutionary process of a reinforced model slope using a fiber-optic monitoring network. Engineering Geology, 186, 34-43. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Xu, Q., Shi, B., and Mei, G.-X. (2015). Time-dependent pullout behavior of GFRP soil nail in sand. Canadian Geotechnical Journal, 52(6), 671–681. (SCI, EI)
Weng, X., Zhu, H.-H., Chen, J., Liang, D., Shi, B., and Zhang, C.-C. (2015). Experimental investigation of pavement behavior after embankment widening using a fiber optic sensor network. Structural Health Monitoring, 14(1), 46-56. (SCI, EI)
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Zhu, H.-H., Shi, B., Yan, J.F., Zhang, J., Zhang, C.-C., and Wang, B.-J. (2014). Fiber Bragg grating-based performance monitoring of a slope model subjected to seepage. Smart Materials and Structures, 23, 095027. (SCI)
Zhu, H.-H., Zhang, C.-C., Tang, C.-S., Shi, B., and Wang, B.-J. (2014). Modeling the pullout behavior of short fiber in reinforced soil. Geotextiles and Geomembranes, 42(4), 329-338. (SCI, EI)
Zhang, C.-C., Zhu, H.-H., Shi, B., and She, J.K. (2014). Interfacial characterization of soil-embedded optical fiber for ground deformation measurement. Smart Materials and Structures, 23, 095022. (SCI, EI)
Zhu, H.-H., Shi, B., Zhang, J., Yan, J.F., and Zhang, C.-C. (2014). Distributed fiber optic monitoring and stability analysis of a model slope under surcharge loading. Journal of Mountain Science, 11(4), 979-989. (SCI)
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Zhu, H. -H., Ho, A. N. L., Yin, J. -H., Sun, H. W., Pei, H. –F., and Hong, C. -Y. (2012). An optical fibre monitoring system for evaluating the performance of a soil nailed slope. Smart Structures and Systems, 9(5), 393-410. (SCI, EI)
Zhu, H. -H., Liu, L. C., Pei, H. F., and Shi, B. (2012). Settlement analysis of viscoelastic foundation under vertical line load using a fractional Kelvin-Voigt model. Geomechanics and Engineering, 4(1), 67-78. (SCI, EI)
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Zhu, H. -H., Yin, J. -H., Yeung, A. T., and Jin, W. (2011). Field pullout testing and performance evaluation of GFRP soil nails. Journal of Geotechnical and Geoenvironmental Engineering, ASCE, 137(7), 633-641. (SCI, EI)
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Zhu, H. -H., Yin, J. -H., Zhang, L., Jin, W., and Dong J. -H. (2010). Monitoring internal displacements of a model dam using FBG sensing bars. Advances in Structural Engineering, 13(2), 249-261. (SCI, EI)
Zhu, H. -H., Yin, J. -H., Dong, J. -H., and Zhang, L. (2010). Physical modelling of sliding failure of concrete gravity dam under overloading condition. Geomechanics and Engineering, 2(2), 89-106. (SCI, EI)