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Scaling Laws for Rainfall Infiltration in Unsaturated Soils: Derivation and Validation Using Centrifuge Model Tests

This study derives and experimentally validates scaling laws for rainfall infiltration in unsaturated soils using centrifuge model tests, confirming that wetting-front velocity, saturated hydraulic conductivity, and infiltration time scale as 1:1, 1:1, and N²:1 respectively, while establishing the Gardner equation as a critical criterion for maintaining suction similarity under centrifugal acceleration.

Original authors: Xiaochuan Liu, Gaofei Kong, Junxi He, Haijie He, Yunfang Wu, Chao Zhang

Published 2026-09-21
📖 5 min read🧠 Deep dive

Original authors: Xiaochuan Liu, Gaofei Kong, Junxi He, Haijie He, Yunfang Wu, Chao Zhang

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

Imagine a heavy rainstorm falling on dry, cracked earth. The water does not soak in all at once; instead, it pushes a distinct boundary downward, a sharp line where the dry soil meets the wet. This moving line is called a wetting front. As it travels, it changes the soil's behavior, turning a dusty, porous material into a heavy, saturated sponge. Engineers need to predict exactly how fast this front moves and how deep the water will go, because if the ground becomes too wet too quickly, it can trigger landslides or cause foundations to fail. To study these dangerous events safely, scientists often build small-scale models of the ground and test them in giant centrifuges. These machines spin the models at high speeds to create a force that mimics the weight of a much larger, real-world landscape. However, a critical question has lingered: do the rules that govern water moving through a tiny, spinning model actually match the rules for the massive, real earth?

A team of researchers from universities in China set out to answer this by testing the specific rules, or scaling laws, that connect a small model to the real world. They focused on unsaturated soil, which is ground that contains both air and water, and how it reacts to rainfall. The team built a horizontal layer of loess, a type of silty soil common in northern China, inside a specialized container. They placed this container on a large centrifuge at Zhejiang University and spun it to create forces equivalent to twenty, forty, and sixty times the normal pull of gravity. While the soil spun, they used a custom-built rainfall simulator to pour water onto the surface, creating a constant pool of water three centimeters deep. To track what happened inside, they embedded tiny sensors at different depths to measure how the water content changed and how the soil's suction, or its natural grip on water, evolved as the rain soaked in.

The researchers compared their measurements against a classic theory known as the Green-Ampt model, which treats the wetting front as a distinct, horizontal line moving through uniform soil. Their experiments confirmed that the speed at which this wetting front travels is directly tied to the strength of the gravity force. When the centrifuge spun at forty times normal gravity, the wetting front moved roughly twice as fast as it did at twenty times gravity, and three times as fast as it did at sixty times gravity. This simple, predictable relationship held true for the time it took the water to reach specific depths as well; as the infiltration depth increased, the ratio of arrival times between different gravity levels approached the inverse ratio of the gravity levels. For instance, if a process takes one second in the model under high gravity, it would take roughly four seconds in the real world under normal gravity if the gravity level was four times higher, though the exactness of this ratio improved with greater depth and time. The study also found that the soil's ability to let water flow through it, once it was fully wet, increased in direct proportion to the gravity force applied.

A significant part of the investigation involved a more subtle factor: suction similarity. In unsaturated soil, suction is the force that holds water in the tiny pores, acting like a vacuum that keeps the ground dry. The researchers needed to know if the spinning force of the centrifuge would accidentally change this suction, making the model soil behave differently than the real soil. They used a mathematical relationship known as the Gardner equation to predict how much the spinning would increase the soil's suction. Their results showed that at lower spinning speeds, specifically twenty and forty times gravity, the predicted increase in suction was smaller than the soil's natural starting suction. In these cases, the soil's internal grip on water remained unchanged, and the model was a perfect mirror of reality. However, at sixty times gravity, the predicted suction increase was larger than the soil's natural grip. Here, the spinning force actually pulled more water out of the soil, causing the measured suction to increase by 7.8–8.5 kPa compared with the initial value. Despite this change, the speed of the wetting front still followed the expected rules, suggesting that even when the soil dries significantly under extreme force, the fundamental timing of the infiltration remains reliable.

The study concludes that the mathematical rules used to translate small-scale centrifuge tests to real-world scenarios are robust for rainfall infiltration. The speed of the wetting front, the time it takes to infiltrate, and the soil's ability to conduct water all scale predictably with gravity. The researchers also validated a clear threshold for when these tests remain accurate: as long as the force of the spin does not exceed the soil's natural ability to hold water, the model will faithfully represent the prototype. This work provides engineers with a firmer foundation for using centrifuge models to predict how rain will move through the ground, offering a reliable way to assess the stability of slopes and foundations before a single drop of rain falls on a real construction site.

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