# Liquidity index of the Lublin loess as a function of cone resistance qc from CPTU test

**Authors:** Krzysztof Nepelski, Agnieszka Lal, Monika Krzysiak, Izabela Skrzypczak, Piotr Ochab, Wojciech Gosk

PMC · DOI: 10.1038/s41598-025-94629-3 · Scientific Reports · 2025-03-22

## TL;DR

This paper develops a formula to estimate the liquidity index of loess soils in Lublin using cone resistance data from CPTU tests.

## Contribution

A novel interpretive formula is proposed to correlate cone resistance with the liquidity index for loess soils.

## Key findings

- 86 soil samples were tested to determine liquidity index values and correlate them with cone resistance.
- A formula was derived to estimate liquidity index from CPTU test results for loess soils in the Lublin region.
- Cone resistance is influenced by multiple factors, so the formula provides an approximation rather than an exact value.

## Abstract

The paper presents the results of the calibration of an interpretive formula for the determination of IL based on cone resistance qc for loess soils. The studies were carried out on characteristic soils that occur in the Lublin region. For this purpose, three CPTU static soundings were selected in which a representative soil profile with a total length of 21 m was extracted. Boreholes were drilled in close vicinity, at distances ranging within 1.0 m, and samples for laboratory testing were collected at intervals of 0.25 m. A total of 86 samples were tested and the liquidity index was determined. The IL values specified in the laboratory were paired with the cone resistances qc averaged over the depth range corresponding to the sampling. The qc/pa – IL distribution was then analysed and a formula correlating both parameters was derived. The cone resistance depends not only on water content but also on a number of other factors, therefore, the estimation of IL from CPTU tests should be regarded as an approximation, while an accurate identification of the subsoil requires further investigations. Nevertheless, such information provides valuable knowledge in the initial stages of subsoil recognition, e.g. during design work.

## Full-text entities

- **Chemicals:** water (MESH:D014867), CPTU (-)

## Full text

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## Figures

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## References

1 references — full list in the complete paper: https://tomesphere.com/paper/PMC11929773/full.md

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Source: https://tomesphere.com/paper/PMC11929773