Estimation of liquid limit of cohesive soil using video-based vibration measurement

Matthew Sands, Evan Hayes, Soonkie Nam, Jinki Kim

Research output: Contribution to journalArticlepeer-review

Abstract

In general, the design of structures and its construction processes are fundamentally dependent on their foundation and supporting ground. Thus, it is imperative to understand the behavior of the soil under certain stress and drainage conditions. As it is well known that certain characteristics and behaviors of soils with fines are highly dependent on water content, it is critical to accurately measure and identify the status of the soils in terms of water contents. Liquid limit is one of the important soil index properties to define such characteristics. However, liquid limit measurement can be affected by the proficiency of the operator. On the other hand, dynamic properties of soils are also necessary in many different applications and current testing methods often require special equipment in the laboratory, which is often expensive and sensitive to test conditions. In order to address these concerns and advance the state of the art, this study explores a novel method to determine the liquid limit of cohesive soil by employing video-based vibration analysis. In this research, the modal characteristics of cohesive soil columns are extracted from videos by utilizing phase-based motion estimation. By utilizing the proposed method that analyzes the optical flow in every pixel of the series of frames that effectively represents the motion of corresponding points of the soil specimen, the vibration characteristics of the entire soil specimen could be assessed in a non-contact and non-destructive manner. The experimental investigation results compared with the liquid limit determined by the standard method verify that the proposed method reliably and straightforwardly identifies the liquid limit of clay.

Original languageEnglish
Pages (from-to)175-182
Number of pages8
JournalGeomechanics and Engineering
Volume33
Issue number2
DOIs
StatePublished - 2023

Keywords

  • cohesive soil
  • computer vision
  • kaolin clay
  • liquid limit
  • modal analysis
  • phase-based motion estimation
  • vibrations

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