確率インバージョンによる地中内部の可視化

使用随机反演可视化地下内部

基本信息

批准号：
22K20601
负责人：
Koch Michael・Conrad
金额：
$ 1.83万
依托单位：
Kyoto University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Research Activity Start-up
财政年份：
2022
资助国家：
日本
起止时间：
2022-08-31 至 2024-03-31
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K20601/
关键词：
inverse problems transdimensional interface detection RJMCMC HMC layer detection 逆解析機能診断

项目摘要

The main aim of the research plan is the accurate visualization of subsurface through stochastic inversion. This involves identification of spatial parameters such as elastic modulus and geometry parameters that represent an interface where jump in spatial parameters occur. In the first phase of this project, a novel 1-D transdimensional MCMC/HMC algorithm has been developed that enables inversion in the cases where the number of spatial and geometry parameters are unknown. This is the first step in the development of the transdimensional-HMC for Interface Detection (t-HMCID) algorithm. Instead of detecting multiple voids, the algorithm is being tested on synthetic cone penetration (geotechnical) data for the detection of exact number of subsurface layers, their depths and their spatial properties. The results obtained are encouraging and shows superior/equivalent performance to competing algorithms. This algorithm will be extended to 2-D and 3-D and the insights obtained from the development of this algorithm will be applied to the development of the t-HMCID algorithm subsequently.The experimentation program was initiated with mixed results. An existing experimental apparatus was employed for the experiment. While the measurements of hydraulic head were accurate, a large error was observed in outflow rate measurements. A plan is being developed currently on possible modifications of the experimental device to yield robust results.

研究计划的主要目的是通过随机反转对地下的准确可视化。这涉及识别空间参数，例如弹性模量和代表空间参数跳跃的接口的几何参数。在该项目的第一阶段中，已经开发了一种新型的1-D跨要性MCMC/HMC算法，该算法在空间和几何参数数量未知的情况下实现反转。这是用于界面检测（T-HMCID）算法的跨维-HMC开发的第一步。该算法没有检测到多个空隙，而是在合成锥渗透（岩土）数据上测试该算法，以检测精确的地下层，其深度和空间特性。获得的结果令人鼓舞，并显示出与竞争算法相同/同等的性能。该算法将扩展到2-D和3-D，并从该算法的开发中获得的见解将应用于随后T-HMCID算法的开发。实验计划启动了，结果混合了结果。实验采用了现有的实验设备。虽然液压头的测量值是准确的，但在流出速率测量中观察到了很大的误差。目前正在对实验设备的可能修改中制定计划，以产生可靠的结果。

项目成果

期刊论文数量（7）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Assessment of HMC Parameter Updates for Piping Zone Boundary Detection

用于管道区域边界检测的 HMC 参数更新评估

DOI：
发表时间：
2022
期刊：
Proceedings of the 8th International Symposium on Geotechnical Safety and Risk (ISGSR)
影响因子：
0
作者：
Michael C. Koch;Kazunori Fujisawa and Akira Murakami
通讯作者：
Kazunori Fujisawa and Akira Murakami

Hydraulic Conductivity Field Marginalization in HMC Based Estimation of Piping Zone Boundary

基于 HMC 的管道区域边界估计中的水力传导率场边缘化

DOI：
发表时间：
2022
期刊：
Proceedings of the 8th International Symposium on Geotechnical Safety and Risk (ISGSR)
影响因子：
0
作者：
Kazunori Fujisawa;Michael C. Koch;Misato Osugi and Akira Murakami
通讯作者：
Misato Osugi and Akira Murakami

Hamiltonian Monte Carloを用いた水みち形状と透水係数分布の同時推定

使用哈密顿蒙特卡罗同时估计水路形状和导水率分布