An End-to-End Particle Gradation Detection Method for Earth-Rockfill Dams from Images Using an Enhanced YOLOv8-Seg
Yu Tang1, Shixiang Zhao1, Hui Qin1
1School of Infrastructure Engineering, Dalian University of Technology, Dalian 116024, China.
Abstract:
Rockfill particle gradation significantly influences mechanical performance in earth-rockfill dam construction, yet on-site screening is often time-consuming, labor-intensive, and structurally invasive. This study proposes a rapid and non-destructive detection method using mobile-based photography and an end-to-end image segmentation approach. An enhanced YOLOv8-seg model with an integrated dual-attention mechanism was pre-trained on laboratory images to accurately segment densely stacked particles. Transfer learning was then employed to retrain the model using a limited number of on-site images, achieving high segmentation accuracy. The proposed model attains a mAP50 of 97.8% (base dataset) and 96.1% (on-site dataset), enabling precise segmentation of adhered and overlapped particles with various sizes. A Minimum Area Rectangle algorithm was introduced to compute the gradation, closely matching the results from manual screening. This method significantly contributes to the automation of construction workflows, cutting labor costs, minimizing structural disruption, and ensuring reliable measurement quality in earth-rockfill dam projects.
More Related Videos
08:27Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
Published on: January 5, 2024
12:18Pore-scale Imaging and Characterization of Hydrocarbon Reservoir Rock Wettability at Subsurface Conditions Using X-ray Microtomography
Published on: October 21, 2018
Related Concept Videos
Design Example: Creating a Hydraulic Model of a Dam Spillway
Design Example: Maintaining Level of an Embankment
Design Example: Aggregate Gradation
The grading, or particle-size distribution, of sand is determined using sieve analysis, with standard sizes ranging from 150 μm to 10 mm (ASTM No. 100 sieve to 3⁄8 in. sieve). Sand is...
Shape and Texture of Coarse Aggregate
Design Example: Analyzing Capacity Contours for Flood Risk Assessment
Methods of Obtaining Topography
