Construction of soil database and estimation of compression index of cohesive soil deposited in coastal area

Abstract

Compression index of the soil is necessary for accurate estimation of consolidation settlement. Compression index can be obtained by a consolidation test, but in practice, it is often estimated from liquid limit or void ratio because it is a time-consuming test. Various empirical formulas have been proposed to estimate compression index, but most of them do not take into account the geotechnical characteristics of each region, which may lead to large estimation errors if applied easily. This study aims to construct an estimation method for compression index that takes into account the geotechnical characteristics of each region. First, a soil database in the form of table data was constructed based on boring data available on the Web. The data was divided by major ports in Japan, and an estimation model was constructed by multiple regression analysis and machine learning to estimate compression index.