確率インバージョンによる地中内部の可視化

点击翻译按钮获取中文摘要

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.