TY - JOUR AU - Junichiro Takeuchi, AU - Masayuki Fujihara, PY - 2018/09/28 Y2 - 2024/03/29 TI - EVALUATION OF IMBIBITION PROCESS IN POROUS MEDIA BY INVADED PERCOLATION PROBABILITY JF - GEOMATE Journal JA - INTERNATIONAL JOURNAL OF GEOMATE VL - 14 IS - 46 SE - Articles DO - UR - https://geomatejournal.com/geomate/article/view/2814 SP - 1-7 AB - <p>The water retention capacity of soil is determined by the texture and structure of the soil and<br>the physical properties of the grain surface. Specifically, it is influenced by various factors such as size and<br>shape of pore, connectivity to neighboring pores, and the contact angle of grains in a bottom-up manner. The<br>water retention curve, a relationship between retained water in soil and matric potential, can exhibit different<br>shapes depending on such factors. However, in our previous numerical experiments with a pore-network<br>model, we suggested that the various water retention curves can be integrated into an almost identical curve<br>regardless of different pore-size distributions when variously saturated porous media are evaluated by an<br>evaluation index derived from the percolation theory. The evaluation method is called invaded percolation<br>probability here, and it was extended from the percolation probability, which evaluates the degree of network<br>connectivity. In this study, more detailed numerical experiments for imbibition process were conducted and<br>the applicability of the invaded percolation probability was investigated. Our results indicated that a common<br>curve of the invaded percolation probability was obtained if pores in the pore-network did not have any<br>correlation with their neighboring pores. In a case where the pore-network had some spatial structure, we<br>found that a different curve of the invaded percolation probability was obtained, and this evaluation method<br>was applicable unless the structure was disturbed.<br><br></p> ER -