journal article·2022-12-01Open access

Numerical study of hydraulic characteristics of impulse waves generated by subaerial landslides

Xiangjian Feng, Liang Cheng, Qianqian Dong, Xiang Qi, Chengwang Xiong

AIP Advances· Volume 12· Issue 12

Abstract

Impulse waves generated by subaerial landslides of a block model along a frictionless surface are investigated numerically based on a combination of immersed boundary method and lattice Boltzmann method. A wave propagation model is proposed through machine learning. The observed impulse waves are classified into Stokes-like waves, solitary-like waves, cnoidal-like waves, and bore-like waves. The influence of the slope angle and the slide front angle on the generation and propagation of impulse waves is investigated from the perspectives of the quantitative analyses on primary wave amplitude and energy transformation. The energy release, dissipation, and propagation of the impulsive waves are investigated based on energy conservation principles. The wave propagation model based on the random forest model is established upon a priori classification of wave types. By comparison with the available numerical results, the accuracy of the proposed wave propagation model in predicting free water surface elevations is demonstrated.
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Research context

OpenAlex topics: Lattice Boltzmann Simulation Studies · Flood Risk Assessment and Management · Landslides and related hazards

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Marine Science and Engineering, South China University of Technology 1 , Guangzhou 511442, People’s Republic of China

College of Aerospace and Civil Engineering, Harbin Engineering University 2 , Harbin 150001, People’s Republic of China

College of Shipbuilding Engineering, Harbin Engineering University 3 , Harbin 150001, People’s Republic of China

College of Engineering, Ocean University of China 4 , Qingdao 266100, People’s Republic of China

Funding

National Natural Science Foundation of China · China Postdoctoral Science Foundation

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