A numerical study of tsunami wave impact and run-up on coastal cliffs using a CIP-based model
A numerical study of tsunami wave impact and run-up on coastal cliffs using a CIP-based model
复制标题
使用基于 CIP 的模型对海啸波对沿海悬崖的冲击和上升进行数值研究
DOI:
10.5194/nhess-17-641-2017
复制
发表时间:
2017-05
影响因子:
4.6
通讯作者:
Gao Yangyang
中科院分区:
文献类型:
--
作者:
Zhao Xizeng;Chen Yong;Huang Zhenhua;Hu Zijun;Gao Yangyang
Abstract. There is a general lack of understanding of tsunami wave interaction with complex geographies, especially the process of inundation. Numerical simulations are performed to understand the effects of several factors on tsunami wave impact and run-up in the presence of gentle submarine slopes and coastal cliffs, using an in-house code, a constrained interpolation profile (CIP)-based model. The model employs a high-order finite difference method, the CIP method, as the flow solver; utilizes a VOF-type method, the tangent of hyperbola for interface capturing/slope weighting (THINC/SW) scheme, to capture the free surface; and treats the solid boundary by an immersed boundary method. A series of incident waves are arranged to interact with varying coastal geographies. Numerical results are compared with experimental data and good agreement is obtained. The influences of gentle submarine slope, coastal cliff and incident wave height are discussed. It is found that the tsunami amplification factor varying with incident wave is affected by gradient of cliff slope, and the critical value is about 45°. The run-up on a toe-erosion cliff is smaller than that on a normal cliff. The run-up is also related to the length of a gentle submarine slope with a critical value of about 2.292 m in the present model for most cases. The impact pressure on the cliff is extremely large and concentrated, and the backflow effect is non-negligible. Results of our work are highly precise and helpful in inverting tsunami source and forecasting disaster.
登录
查看更多内容
DOI:
10.1007/s00773-013-0249-7
发表时间:
2014-01
期刊:
Journal of Marine Science and Technology (Japan)
影响因子:
--
作者:
Xizeng Zhao;Zhouteng Ye;Yingnan Fu
通讯作者:
Yingnan Fu
DOI:
10.1007/bfb0112697
发表时间:
1973
期刊:
--
影响因子:
--
作者:
C. Peskin
通讯作者:
C. Peskin
DOI:
10.1109/hipcw.2016.022
发表时间:
2016-12
期刊:
2016 IEEE 23rd International Conference on High Performance Computing Workshops (HiPCW)
影响因子:
--
作者:
V. Gupta;K. Srikanth;H. Punekar
通讯作者:
V. Gupta;K. Srikanth;H. Punekar
影响因子:
4.1
作者:
H. Takewaki;A. Nishiguchi;T. Yabe
通讯作者:
H. Takewaki;A. Nishiguchi;T. Yabe
DOI:
10.1016/j.jcp.2012.08.034
发表时间:
2013
期刊:
J. Comput. Phys.
影响因子:
--
作者:
K. Yokoi
通讯作者:
K. Yokoi