Coupled hydro-mechanical processes in rainfall-triggered mudstone landslides revealed by 3D laser scanning and model testing

C Chi Li (Shenzhen Key Laboratory of Advanced Energy Storage, Department of Mechanical and Energy Engineering) K Ke Wang (Tianjin Medical University Cancer Institute and Hospital Tianjin China) S Shuanhu Li Y Yu Gao Y Yang Cao

Abstract

To elucidate the hydro-mechanical evolution of rainfall-triggered loess-mudstone interface landslides and improve monitoring and early warning, we conducted a large-scale indoor physical model test under artificial rainfall conditions. The model was instrumented with pore-water pressure and earth pressure sensors, as well as terrestrial laser scanning (TLS) for spatially continuous, hourly displacement mapping. XRF/XRD and mechanical tests were adopted to quantify the water-induced softening characteristics of mudstone.The results show a power-law increase in water absorption and rapid strength degradation, with the unconfined compressive strength decreasing from 4.90 MPa to 0.82 MPa within 3 h. Rainfall promotes the formation of an interfacial water film and argillation of mudstone, which weakens inter-particle bonding and significantly reduces the interface shear strength, representing the key trigger for sliding. Pore-water pressure evolves quasi-synchronously with rainfall but with a slight lag, exhibiting a three-stage pattern: stable – accelerated rise – rapid decline. TLS captured deformation precursors at the crest and slope surface at approximately 1560 min, providing a 140-min lead time over sensor-detected anomalies (approximately 1700 min).TLS-derived displacement fields cross-validate with pressure-based indicators to characterize progressive destabilization, which culminates in failure under continuous rainfall. This study clarifies the water-film-controlled softening mechanism and demonstrates the superior early-warning sensitivity of TLS for interface-type landslides, providing a scientific basis for multi-index fusion monitoring and the formulation of refined early-warning thresholds.

Article Details

Journal PLoS ONE
Volume / Issue Vol. 21, Issue 4
Published April 30, 2026
Pages e0345165
ISSN 1932-6203
Publisher Public Library of Science

Journal Info

PLoS ONE

Public Library of Science

ISSN: 1932-6203 Open Access Health Sciences

Authors (5)

C

Chi Li

Shenzhen Key Laboratory of Advanced Energy Storage, Department of Mechanical and Energy Engineering

K

Ke Wang

Tianjin Medical University Cancer Institute and Hospital Tianjin China

S

Shuanhu Li

Y

Yu Gao

Y

Yang Cao