Automatic Construction and Uncertainty Analysis of Geological Profiles in Dredging Engineering Based on Multiple-Point Geostatistics
Publication: Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 150, Issue 6
Abstract
Sparse borehole data and unreasonable sampling strategies pose challenges in accurately constructing geological profiles, resulting in inaccurate soil distribution information and impacting the design of implementation plans for dredging engineering. Therefore, an automatic construction and uncertainty analysis approach to the geological profile of dredging engineering is proposed using multiple-point geostatistics. The approach uses a training image instead of the variogram function, considering the spatial variability of the soil and adapting to learn high-order spatial information. This enables the characterization of spatial relationships and distribution patterns between multiple points. Subsequently, statistical uncertainty analysis is conducted based on the results obtained from stochastic simulations. The effects of neighboring cell numbers, threshold, and borehole spacings on the performance of our approach are systematically investigated and the optimal simulation parameters are determined. Additionally, the simulated geological profiles are categorized into three areas (high, medium, and low) based on the level of uncertainty, quantifying the uncertainty of the proposed approach. The equidistant method is then used for comparison and verification. When applied to a dredging engineering case in the Lianyungang Channel, the approach achieved a prediction accuracy of over 93.7% and successfully quantified boundary areas with high uncertainty in soil layers. This shows the enhanced capacity of the approach to capture characteristics of soil distribution. The approach reduces the area of high uncertainty by 11.4%, demonstrating advancements in selecting drilling locations. The study will provide decision support for geological surveys in dredging engineering and provide reliable soil information for subsequent construction.
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Data Availability Statement
Data that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research was jointly funded by the China Postdoctoral Science Foundation (Grant Nos. 2023M732604 and 2023TQ0239) and the National Natural Science Foundation of China (Grant No. 52179139).
Author contributions: Yong Chen: Writing—original draft, Validation, Code, Visualization; Mingchao Li: Resources, Supervision, Project administration, Funding acquisition; Qiubing Ren: Conceptualization, Methodology, Writing—Reviewing and editing, Funding acquisition; Huijing Tian: Resources, Formal analysis; Liang Qin: Resources; Keqi Huang: Resources.
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Information & Authors
Information
Published In
Journal of Waterway, Port, Coastal, and Ocean Engineering
Volume 150 • Issue 6 • November 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Apr 13, 2024
Accepted: Jul 8, 2024
Published online: Sep 4, 2024
Published in print: Nov 1, 2024
Discussion open until: Feb 4, 2025
ASCE Technical Topics:
- Analysis (by type)
- Bodies of water (by type)
- Coasts, oceans, ports, and waterways engineering
- Construction engineering
- Construction management
- Continuum mechanics
- Dredging
- Dynamics (solid mechanics)
- Engineering fundamentals
- Engineering mechanics
- Geology
- Geomechanics
- Geotechnical engineering
- Hydraulic engineering
- Hydraulic structures
- Mathematics
- Motion (dynamics)
- River engineering
- Sediment
- Soil analysis
- Soil mechanics
- Soil properties
- Solid mechanics
- Spatial analysis
- Spatial data
- Statistics
- Structural engineering
- Structures (by type)
- Uncertainty principles
- Water and water resources
- Water management
- Waterways
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