Chemical Composition and Strength Data from a Rainfall-Triggered Landslide Simulation

A laboratory-scale physical model test under artificial rainfall conditions, conducted to study loess-mudstone interface landslides. The dataset includes results from XRF/XRD analysis and mechanical tests, quantifying water-induced softening and strength degradation of mudstone. The data was authored by Chi Li and last updated on April 30, 2026.

Use Cases

• Modeling the hydro-mechanical evolution of landslides based on pore-water pressure and earth pressure sensor data.
• Analyzing the relationship between rainfall intensity and material strength degradation based on unconfined compressive strength measurements.
• Developing multi-index fusion monitoring systems based on cross-validated TLS displacement and pressure-based indicator data.
• Studying water-film-controlled softening mechanisms in mudstone based on XRF/XRD compositional analysis.

Strengths

• Includes specific mechanical test results, such as unconfined compressive strength decreasing from 4.90 MPa to 0.82 MPa within 3 hours.
• Data is cross-validated from multiple sources, including terrestrial laser scanning (TLS), pore-water pressure sensors, and earth pressure sensors.
• Provides temporal details on deformation precursors, with TLS capturing events approximately 1560 minutes into the test.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope.

Provenance

Source

figshare

Collection Method

Data generated from a large-scale indoor physical model test under artificial rainfall, instrumented with sensors and TLS.

Time Range

Covers the duration of a single laboratory simulation test.

Freshness

Last updated 2026-04-30 17:34:28; freshness should be verified.

Geography

Laboratory-scale simulation; geographic origin of materials is not specified.