journal article·2024-08-17

Non-destructive compaction quality evaluation of runway construction based on GPR data

Lili Cheng, Ji Lu, Cheng Zhou

Publisher page

Abstract

Assessing the compaction quality of rockfill materials is an essential link in the runway construction. However, traditional on-site limited sampling detection is not only time-consuming and labour-intensive, but also destructive. Common ground penetrating radar (GPR) calculates the relative permittivity of a material by measuring its thickness. Nonetheless, assessing the thickness of runway construction materials poses a significant challenge. To address this challenge, this paper focuses on the Hilbert -Huang transform (HHT) analysis of GPR signal of different compacting materials, and then replaces the traditional method of calculating the relative permittivity by measuring the thickness of materials. At the same time, taking the runway as an example, this work verified a crest factor (CF) index effectiveness in predicting the relative compaction of rockfill material through HHT analysis of GPR signals collected in the field, with an average error rate of 4.03%. Finally, Kriging interpolation method is used to estimate the compaction quality of any point, and the corresponding heat map of compaction quality evaluation is generated to determine the area of insufficient compaction in the construction process.Highlights The GPR method is used for non-destructive testing of the compaction quality of runway rockfill materials;Compaction quality evaluation by multiple indicators of GPR data signal processing.The influence of number of roller passes, materials mix ratios and different rockfill materials on the compaction quality of runway are analysed.The applicability of the GPR method is verified by runway construction tests.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Geophysical Methods and Applications · Rock Mechanics and Modeling · Geotechnical Engineering and Underground Structures

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

National Center of Technology Innovation for Digital Construction, Huazhong University of Science and Technology, Wuhan, China

School of Civil and Hydraulic Engineering, Huazhong University of Science and Technology, Wuhan, China

Wuhan Municipal Construction Group Co, Ltd, Wuhan, China

Funding

National Natural Science Foundation of China · The Major Science and Technology Project in Hubei Province, China: Key Technologies and Applications of Intelligent Construction

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