Junjun Ni
Hong Kong University of Science and Technology
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Featured researches published by Junjun Ni.
Archive | 2018
Charles Wang Wai Ng; Anthony Kwan Leung; Junjun Ni
The negative impact of climate change calls for more sustainable and environmentally friendly techniques to be developed to improve the engineering performance of our civil infrastructures such as slopes in urban built environments. Soil bioengineering using plants and microorganisms is considered a low-cost and aesthetically pleasant solution for shallow slope stabilisation. Although extensive research has been conducted on the mechanical effects of root reinforcement in past decades, the hydrological effects of plants on shear strength and water permeability of vegetated soil slopes are not clear. This extended abstract presents an all-round, cross-disciplinary research programme consisting of indoor and field experiments, centrifuge testing and theoretical analysis to examine the plant hydrological effects on slope stability. It was revealed that some plant species native to southern China and Europe could preserve a credible amount of suction after heavy rainfall, which is positively correlated with the leaf area index (LAI), the root area index (RAI) and the ratio of root to shoot biomass. The total amount of water infiltration were found to be considerable higher in bare than those in soil covered by grass and tree. Plant-fungus interaction caused a significant increase in root tensile strength, hence potentially the mechanical reinforcement to soil. By developing novel artificial root systems in the centrifuge and deriving new theoretical closed-form stability equations, it was discovered that heart-shaped roots produced stronger stabilisation effects than either tap- or plate-shaped roots. This root architecture preserved higher suction (hence higher soil shear strength) and provided greater mechanical reinforcement effects due to multiple branching. These findings advance the fundamental understanding of plant-soil interaction and its influence on slope bioengineering applications.
Landslides | 2018
Wei Shao; Zongji Yang; Junjun Ni; Ye Su; Wen Nie; Xieyao Ma
Landslide-prone slopes in earthquake-affected areas commonly feature heterogeneity and high permeability due to the presence of cracks and fissures that were caused by ground shaking. Landslide reactivation in heterogeneous slope may be affected by preferential flow that was commonly occurred under heavy rainfall. Current hydro-mechanical models that are based on a single-permeability model consider soil as a homogeneous continuum, which, however, cannot explicitly represent the hydraulic properties of heterogeneous soil. The present study adopted a dual-permeability model, using two Darcy-Richards equations to simulate the infiltration processes in both matrix and preferential flow domains. The hydrological results were integrated with an infinite slope stability approach, attempting to investigate the hydro-mechanical behavior. A coarse-textured unstable slope in an earthquake-affected area was chosen for conducting artificial rainfall experiment, and in the experiment slope, failure was triggered several times under heavy rainfall. The simulated hydro-mechanical results of both single- and dual-permeability model were compared with the measurements, including soil moisture content, pore water pressure, and slope stability conditions. Under high-intensity rainfall, the measured soil moisture and pore water pressure at 1-m depth showed faster hydrological response than its simulations, which can be regarded as a typical evidence of preferential flow. We found the dual-permeability model substantially improved the quantification of hydro-mechanical processes. Such improvement could assist in obtaining more reliable landslide-triggering predication. In the light of the implementation of a dual-permeability model for slope stability analysis, a more flexible and robust early warning system for shallow landslides hazard in coarse-textured slopes could be provided.
Geotechnique Letters | 2016
Charles Wang Wai Ng; Junjun Ni; Anthony Kwan Leung; Zijian Wang
Geotechnique | 2016
Charles Wang Wai Ng; Junjun Ni; Anthony Kwan Leung; Chao Zhou; Zijian Wang
Canadian Geotechnical Journal | 2017
Junjun Ni; Anthony Kwan Leung; Charles Wang Wai Ng; Pui San So
Canadian Geotechnical Journal | 2017
Wei Shao; Junjun Ni; Anthony Kwan Leung; Ye Su; Charles Wang Wai Ng
Computers and Geotechnics | 2018
Junjun Ni; Anthony Kwan Leung; Charles Wang Wai Ng; Wei Shao
Geotechnique Letters | 2018
Junjun Ni; Xun Wen Chen; Charles Wang Wai Ng; H. W. Guo
Geotechnique | 2018
Junjun Ni; Anthony Kwan Leung; Charles Wang Wai Ng
Geotechnique | 2018
Charles Wang Wai Ng; Zijian Wang; Anthony Kwan Leung; Junjun Ni