Effective compaction power index for real-time compaction quality assessment of coarse-grained geomaterials: Proposal and comparative study

Shi, Mengnan; Wang, Jiajun; Guan, Tao; Chen, Wenlong; Wang, Xiaoling

doi:10.1016/j.conbuildmat.2022.126375

Cited by 23 publications

(1 citation statement)

References 44 publications

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“…A series of high rockfll dams with a height of more than 300 meters will be developed in Gushui, Ri Coronation, and Qizong, China. Te quality of compaction construction is a key factor in ensuring the safe and stable operation of dam projects, which is directly related to the overall settlement deformation and stability of the dam body [5][6][7]. High rockfll dams place higher demands on compaction quality [8,9].…”

Section: Introductionmentioning

confidence: 99%

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

Yao,

Wu,

et al. 2024

Structural Control and Health Monitoring

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The compaction quality is directly related to the deformation and stability of the rockfill dam. Measuring the test pit volume efficiently and accurately is the most critical step during the compaction quality inspection. A new method for calculating the test pit volume based on point cloud data is proposed. An auxiliary device that can change the scanning distance and angle of the handheld 3D laser scanner is developed to collect the initial point cloud. The segmentation method of the initial point cloud data including the test pit and the compaction surface outside the pit is to divide the data into two parts according to the order number of the segmentation point, after slicing and sorting point clouds, which is the key to ensuring the computational precision. The segmentation points are the adjacent two points with the greatest order number difference in these point clouds whose distance from the line connecting the end points of the slicing point clouds is less than dz. The compaction surface point clouds are used to construct a plane by the least-squares algorithm so that the closed three-dimensional model is formed by registering it with the test pit point clouds. After converting the test pit surface to the horizontal plane by the Rodrigues formula, the test pit point clouds are divided into n2 parts with equal projection areas on the horizontal plane, and n2 prisms are constructed using them and their projection areas. The test pit volume is the sum of the intersection space volumes of all prisms and the test pit model, and the intersection space is determined by comparing the Z-values of point clouds. The new method was programmed in MATLAB and applied to the Shuangjiangkou rockfill dam with a height of 315 m. The relative error of volume results between the new method and the old water-filling method is 0.14–2.31%. The cause of the error is analyzed, and it is proved that the results of the new method are closer to the real volume of the test pit in theory. This method reduces the inspection cost but greatly improves the level of precision, efficiency, and intelligence for compaction quality inspection.

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Section: Introductionmentioning

confidence: 99%

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

Yao,

Wu,

et al. 2024

Structural Control and Health Monitoring

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Real-time monitoring and quality assessment of subgrade compaction: key factors and ANN model

et al. 2022

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Intelligent compaction methods and quality control

Yao

Song

2023

Smart Constr. Sustain. Cities

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Ensuring high-quality fill compaction is crucial for the stability and longevity of infrastructures and affects the sustainability of urban infrastructure networks. The purpose of this paper is to provide a refined analysis and insight understanding of the current practice, limitations, challenges, and future development trends of compaction methods from the perspective of the development stage. This paper offers a comprehensive overview of the evolution of compaction methods and classifies compaction quality control methods into four groups through quantitative analysis of literature: traditional compaction methods, digital compaction methods, automated compaction methods, and intelligent compaction methods. Each method's properties and issues are succinctly stated. Then, the research on three key issues in intelligent compaction including compaction quality evaluation algorithms, dynamic optimal path planning, and implementation of unmanned technology is summarized. Currently, the field of intelligent compaction is far from mature, a few challenges and limitations need further investigation: coupling problems of multiple indicators in intelligent evaluation algorithms, unmanned roller groups collaborative control problems, and intelligent decision-making and optimization problems of multi-vehicle compaction paths. This review serves as a valuable reference for systematically understanding the development of compaction methods.

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Effective compaction power index for real-time compaction quality assessment of coarse-grained geomaterials: Proposal and comparative study

Cited by 23 publications

References 44 publications

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

A New Method for the Compaction Quality Inspection of High Rockfill Dams Based on 3D Laser Scanning Technology

Real-time monitoring and quality assessment of subgrade compaction: key factors and ANN model

Intelligent compaction methods and quality control

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