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Related Experiment Video

Updated: Jan 10, 2026

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management

Published on: September 12, 2017

Modeling loess collapsibility using oedometer tests for foundation and pile settlement prediction.

Zhao Long^1,2, Shuaihua Ye³, Yuan Hao¹

¹School of Civil and Hydraulic Engineering, Lanzhou University of Technology, Lanzhou, 730050, Gansu, China.

Scientific Reports

|November 26, 2025

Summary

This summary is machine-generated.

This study enhances construction foundation safety in Northwest China

Keywords:

Coefficient of collapsibility Collapsible loess Immersion compression test Regression analysis

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Area of Science:

Geotechnical Engineering
Soil Mechanics
Civil Engineering

Background:

Loess regions in Northwest China face construction challenges due to soil collapsibility.
Existing models for predicting loess collapse have limited engineering applicability due to reliance on single indicators.

Purpose of the Study:

To investigate loess collapsibility characteristics in Lanzhou.
To develop a multi-parameter model for predicting loess collapse settlement.
To improve foundation safety in loess areas.

Main Methods:

Laboratory collapse tests under constant pressure.
Regression modeling to assess geotechnical parameter influence.
Standard method for depth-wise potential collapse analysis.
Development of an exponential function model for collapsibility coefficient prediction.

Main Results:

Established significant relationships between collapsibility coefficient and void ratio, natural moisture content, and compression modulus.
Identified an exponential distribution trend for potential collapse variation with depth around piles.
Developed a comprehensive prediction model integrating five geotechnical parameters.

Conclusions:

The developed multi-parameter model accurately predicts loess collapse settlement.
This model offers a practical tool for risk assessment and mitigation design for foundations and pile-soil interactions in loess environments.
Enhanced foundation safety in Northwest China's loess regions is achievable.