Evaluation of Index Properties Affecting Unconfined Compressive Strength of Jet-Grouted Soil Columns for Bangkok Soils-Video

Video Transcription

Video Summary

The study examines how soil index properties affect the unconfined compressive strength (UCS) of jet-grouted columns in Bangkok soils. Samples from the Blue Line and Orange Line projects were tested and compared with Japanese guidelines. An artificial neural network used properties including unit weight, water content, particle size, plasticity index, SPT values, and soil type to predict UCS. Unit weight and the percentage passing the No. 40 sieve were useful predictors for sandy and silty soils, while unit weight and plasticity index were useful for clay. The study also proposed UCS–modulus relationships, lower than the Japanese guideline correlation.

Keywords

jet-grouted columns

unconfined compressive strength

Bangkok soils

artificial neural network

soil index properties