DC05: Micro-structural characteristics of failure planes and weak layers – new insights from (4D) mCT measurements combined with geotechnical testing

Doctoral Candidate

Xiaoye Zhao

I am Xiaoye Zhao, originally from Shenzhen, China. I obtained my Bachelor’s degree in Civil Engineering from Heilongjiang University and my Master’s degree in Architecture and Civil Engineering from Shenzhen University. My Master’s thesis focused on the nondestructive investigation of rust expansion and crack filling in reinforced concrete using advanced XCT imaging techniques, with a particular emphasis on coastal structures.

Currently, I am a PhD student at the University of Bremen, focusing on the micro-structural characteristics of failure planes and weak layers in submarine landslides. My research employs cutting-edge 3D and 4D micro-Computed Tomography (µCT) imaging combined with geotechnical experiments to understand the formation and evolution of weak layers. The study aims to develop methodological standards and machine learning algorithms to advance the analysis of submarine landslide mechanisms.

Contact:

Project Details

Host Institutions
University of Bremen
Secondments

University of Kiel
[6 months]

Contact
Xiaoye Zhao
Supervisors

Prof. Katrin Huhn-Frehers
Dr. Ricarda Gatter

Background
Submarine landslides represent a significant geohazard, endangering coastal communities and offshore infrastructure. The weak layer concept, attributing landslide failure planes to mechanically weaker layers within slope stratigraphy, is widely accepted. These weak layers, often linked to material heterogeneities like alternating clay-sand layers or porous fossil deposits, can lead to liquefaction or particle breakage under loading. Despite ongoing research, the failure mechanisms associated with these layers remain inadequately understood.

Objectives

  • Utilize high-resolution µCT imaging and geotechnical tests to investigate weak layers and failure planes;
  • Develop machine learning routines for analyzing sediment compositions and slope stratigraphy;
  • Evaluate the influence of different sediment lithologies on weak layer formation and landslide initiation.

Expected Results

  • Standardized µCT analysis workflows applicable to natural sediments;
  • Improved understanding of how sediment properties and slope structure affect landslide mechanisms;
  • Advanced tools for predicting submarine landslides.

Skills and Methods

  • Expert in XCT imaging, 3D reconstruction, and visualization;
  • Proficient in Matlab, Avizo, and Python for data processing;
Detailed description of the project can be found here.
This project has received funding from the European Union under Grant Agreement No. 101120236
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