Unsteady overflow behavior of polydisperse granular flows against closed type barrier
Introduction
A large-scale granular assembly that surges downslope driven by gravity (e.g., debris flows, granular avalanches, lahars) often leads to catastrophic disaster (Thouret et al., 2020; Wang, 2013; Zhan et al., 2018). Substantial preventative design efforts have therefore been made to mitigate flowing geo-disasters, among which check dams are most commonly used because they are engineered to fully capture the flow debris (Albaba et al., 2018; Armanini et al., 2020; Chen et al., 2019; Jiang et al., 2018; Remaître et al., 2008; Shen et al., 2019; Shen et al., 2018; Zhou et al., 2018). Nevertheless, the design of check dams faces considerable scientific challenges because the flow-structure interaction mechanism remains poorly understood (Chen et al., 2019; Huang and Zhang, 2020). A lot of physical modeling and numerical simulation researches have been conducted to address this issue, but mostly focused on the impact dynamics of granular flows on a single barrier (Ahmadipur et al., 2019; Albaba et al., 2018; Calvetti et al., 2019; Jiang et al., 2018; Jiang and Towhata, 2013; Moriguchi et al., 2009; Ng et al., 2016; Shen et al., 2018; Zhou et al., 2018); however, in the field, multiple-barrier systems comprised of rows of single barriers with different configurations installed along the flow path are preferred to intercept the huge volume of flowing debris (Piton et al., 2017; Remaître et al., 2008; Shen et al., 2019; Wang, 2013). A multiple-barrier system is considered to stepwise reduce the kinetic energy and volume of granular flows. However, multiple-barrier system design has not been properly solved.
Koo (2017) presented a systematic design framework for multiple-barrier systems, including the flow impact process on the upstream barrier, overflow, landing, convergence, and impact on the downstream barrier. An appropriate estimate of barrier spacing is also important in multiple-barrier system design (Fig. 1). Kwan et al. (2015) proposed a simplified model to estimate the launch distance of overflowed materials based on a point mass assumption (Eq. (1)), in which the barrier spacing is required to be no less than the launch distance. In China's design code for debris flow disaster mitigation measures (CGS, 2004), the barrier spacing is determined by the upstream barrier height (Hdl′) and overflowed material depth (Hc) (Eq. (2)). Consequently, the overflow mechanism of granular flows is important but not well understood.where L is the launch distance, vc is the overflow velocity, θ is the slope angle, and g is gravitational acceleration.
To prevent overflow, some analytical solutions have been proposed to estimate the flow run-up height (Choi et al., 2015; Iverson et al., 2016; Zhou et al., 2020b). Hákonardóttir et al. (2003) showed the relationship between barrier slope and overflow launch angle. Faug et al. (2015) demonstrated that the shape of a standing jump (overflow) is affected by flow conditions (e.g., slope and flow mass discharge), and proposed an analytical model to describe the overflow process, although this is limited to steady flow conditions. Ng et al. (2017) investigated the influence of deflectors on granular overflow kinematics. Ng et al. (2018) showed that the barrier height significantly influences the launch distance of the overflowed material. The overflow behavior encompasses multiple physical mechanisms, especially for dry granular flows because of the formation of a dead-zone structure (Faug et al., 2002; Ng et al., 2017; Ng et al., 2016; Song et al., 2019b). Some studies have already pointed out that a dead zone exerts a crucial effect on the impact dynamics of barrier structures (Albaba et al., 2018; Tan et al., 2020). However, a quantitative description of the dead-zone influence on the overflow behavior of granular flow remains unreported.
To address these scientific research gaps, we conduct a series of numerical simulation based on DEM modeling. We focus on the overflow behavior, which is a typical time-dependent process. The details of influence of debris-barrier interaction on overflow process has been elucidated. Our results may be useful to understand the granular flow overflow process, which may serve as the basis of engineering design of multiple barrier system in field.
Section snippets
DEM theory
We adopted the three-dimensional discrete element method (3D DEM) to address debris-barrier interactions because of its unique ability to model granular and especially highly heterogeneous material (Calvetti et al., 2019; Jiang et al., 2018; Shen et al., 2018). The determination of input parameters is crucial in DEM simulations, toward which a benchmark model should be adopted (Coetzee, 2017). We used the flume test by Jiang and Towhata (2013) as a benchmark to calibrate a series of appropriate
Influence of the dead zone on overflow behavior
During debris-barrier interaction, a stagnant zone or dead zone that forms behind the barrier can serve as a cushion layer, which may facilitate the dissipation of flow kinetic energy and redirect the flow momentum (Koo et al., 2016; Ng et al., 2018; Song et al., 2019b). The overflow behavior is also expected to affect the dead zone morphology, but this issue has not been addressed in detail.
We can easily track particle velocity in the DEM simulations, which can be marked by different colors to
Discussion
This paper only addresses some of the fundamental aspects of the overflow of polydisperse granular flows against closed type barrier, and the numerical results may be limited with some open issues needed to be solved in next stage.
In this study, only dry granular flow is used without consideration of the effect of interstitial fluid, which may play a crucial role in flow-structure interaction process. Choi et al. (2015) revealed that because of different rheology behavior, viscous flow and
Conclusion
The establishment of a rigorous scientific barrier system against high-speed flowing geo-disasters is of great concern. In the field, multiple barriers are preferentially adopted, whereas the engineering design is mostly empirical. For a physically-based design strategy, the overflow behavior should be investigated in detail. In this paper, we use a robust numerical model based on 3D DEM to address this scientific challenge. The main conclusions are as follows.
- (1)
The morphology of the dead zone
Declaration of Competing Interest
The authors declared that they have no conflicts of interest to this work.
Acknowledgment
We thank the support offered by the National Natural Science Foundation of China (Grant No. 41831291).
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