Deep Foundation Pit Deformation Monitoring Data from Dalian Donggang Business District

A 2026 study by Jie Zhao presents monitoring data from a deep foundation pit excavation in the Dalian Donggang Business District. The dataset combines distributed optical fiber monitoring and routine monitoring of support pile displacement and surface settlement, with results compared against finite element simulations using the HSS model. The research demonstrates the application of an SSA-BP neural network for back-analysis of soil parameters.

Use Cases

• Training neural networks for soil parameter back-analysis based on the described SSA-BP method.
• Comparing the accuracy of distributed optical fiber monitoring against conventional point monitoring for structural strain.
• Validating finite element simulation results using the HSS model against real-world excavation deformation data.
• Developing early warning systems for deep foundation pit support structures based on continuous monitoring data.

Strengths

• Data includes a direct comparison between two monitoring methods (optical fiber and routine), allowing for accuracy assessment.
• Findings are validated against finite element simulation results using the Hardening Soil-small (HSS) model.
• The dataset is associated with a specific, documented case study in the Dalian Donggang Business District.

Limitations

• The core data is embedded within a 2.6 MB PDF, requiring extraction before computational use.
• Column-level documentation and row count are unknown, limiting immediate suitability assessment.
• The geographic scope is limited to a single case study location.

Provenance

Source

Jie Zhao via figshare.

Collection Method

Combined distributed optical fiber monitoring, routine monitoring, and Plaxis finite element software simulation.

Freshness

Last updated 2026-05-21.

Geography

Dalian Donggang Business District, China.