Soil stiffness identification using fuzzy logic based on seismic tomography

Originally published: IOP Conference Series: Earth and Environmental Science, 2021 Co-authors: M. Maryadi

Abstract

This research presents a novel approach to identifying soil stiffness by integrating seismic tomography data with fuzzy logic systems. We explore the relationship between seismic velocity and dynamic elastic moduli to provide a more robust characterization of soil properties for engineering applications.

Fuzzy Logic Implementation

The core of this work involves the application of fuzzy logic to handle the inherent uncertainties in geophysical data. By defining fuzzy sets for seismic velocity and soil stiffness, we created an expert system that can classify soil conditions with higher reliability than traditional linear models.

Impact on Dynamic Elastic Moduli

Our findings demonstrate a strong correlation between the fuzzy-logic-derived stiffness and the measured dynamic elastic moduli. This methodology offers a promising tool for site characterization in civil engineering and geotechnical investigations.

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This is a summary of the academic publication as part of Luthfi Yufajjiru's research archive.