Physics-based Simulations of 3D Wave Propagation with Source Variability: HEMEW^S-3D
收藏DataCite Commons2025-05-16 更新2025-04-16 收录
下载链接:
https://entrepot.recherche.data.gouv.fr/citation?persistentId=doi:10.57745/LAI6YU
下载链接
链接失效反馈官方服务:
资源简介:
The HEMEW^S-3D database contains 30,000 simulation results of the 3D elastic wave equation. This equation governs the propagation of waves in a 3D propagation medium. Elastic waves originate from a deep source with random location and random orientation. Three types of data are given in this database: a materials dataset, source properties, and a velocity dataset. The major difference between the HEMEW^S-3D database and the previous version HEMEW-3D is the source. It was fixed in the first version while in the current version, both its position and orientation vary. Each material describes the propagation domain used for one numerical simulation. It is built from non-stationary random fields and corresponds to the velocity of shear waves. All materials are 3D arrays of shape 32 x 32 x 32. A different source is used for each simulation. It is described by its coordinates and the three angles that parametrize its moment tensor. The velocity dataset contains the velocity wavefields simulated at the surface of each propagation domain. Each velocity field has 3 spatial components and 800 time steps (between 0 and 8s). A readme file gives more details on the data and can be found below (search for readme in the search bar)
HEMEW^S-3D 数据库包含30000组三维弹性波动方程的模拟结果。该方程用于描述三维传播介质中的波传播规律。弹性波由位置与方向均随机的深部震源激发。本数据库共包含三类数据:介质参数数据集、震源属性数据集以及速度场数据集。HEMEW^S-3D数据库与前代HEMEW-3D数据库的核心差异在于震源设置:初代版本中震源参数固定,而本版本中震源的位置与方向均为可变参数。每一组介质参数对应一次数值模拟所用的传播域,其由非平稳随机场生成,对应剪切波的传播速度。所有介质参数均为形状为32×32×32的三维数组。每次模拟均采用独立震源,震源由其空间坐标与描述其矩张量的三个角度参数共同表征。速度场数据集包含各传播域地表处模拟得到的速度波场,每个速度场包含3个空间分量,且包含800个时间步长(时间范围为0至8秒)。详细的数据说明可参考页面下方附带的README文件,您可通过搜索栏检索“readme”快速定位相关内容。
提供机构:
Recherche Data Gouv
创建时间:
2023-05-26
搜集汇总
数据集介绍

背景与挑战
背景概述
HEMEW^S-3D数据库包含30,000个3D弹性波方程的模拟结果,用于研究3D传播介质中的波传播。该数据集提供了材料数据、源属性和速度数据,特别之处在于源的随机位置和方向变化,适用于科学机器学习和深度学习应用。
以上内容由遇见数据集搜集并总结生成



