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

被引:6
作者
Cheng, Lili [1 ,2 ]
Lu, Ji [1 ,2 ,3 ]
Zhou, Cheng [1 ,2 ]
机构
[1] Huazhong Univ Sci & Technol, Natl Ctr Technol Innovat Digital Construct, Wuhan, Peoples R China
[2] Huazhong Univ Sci & Technol, Sch Civil & Hydraul Engn, Wuhan, Peoples R China
[3] Wuhan Municipal Construct Grp Co Ltd, Wuhan, Peoples R China
关键词
Runway; rockfill compaction evaluation; non-destructive testing; ground penetrating radar; Hilbert-huang transform; Kriging interpolation; GROUND-PENETRATING RADAR; TECHNOLOGY; OPERATION; DENSITY;
D O I
10.1080/10589759.2023.2255363
中图分类号
TB3 [工程材料学];
学科分类号
0805 ; 080502 ;
摘要
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.HighlightsThe 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.
引用
收藏
页码:1379 / 1406
页数:28
相关论文
共 50 条
[31]   Impedance-based non-destructive and non-parametric infrastructural performance evaluation [J].
Tseng, KK .
EXPERIMENTAL MECHANICS, 2004, 44 (01) :109-112
[32]   Non-destructive GPR signal processing technique for thickness estimation of pavement, coal and ice layers: A review [J].
Thomas, Shweta B. ;
Subbaraj, Sangeetha ;
Sona, Deepika Rani ;
Thomas, Benedict .
JOURNAL OF APPLIED GEOPHYSICS, 2025, 233
[33]   Non-Destructive Detection of Golden Passion Fruit Quality Based on Dielectric Characteristics [J].
Lin, Fan ;
Chen, Dengjie ;
Liu, Cheng ;
He, Jincheng .
APPLIED SCIENCES-BASEL, 2024, 14 (05)
[34]   Egg Quality Traceability Based on Non-Destructive Testing Technique of Hyperspectral Characteristics [J].
Huang, Shiqi ;
Duan, Xiangyang ;
Wu, Wei ;
Lv, Lintao .
FIFTH SYMPOSIUM ON NOVEL OPTOELECTRONIC DETECTION TECHNOLOGY AND APPLICATION, 2019, 11023
[35]   Non-destructive evaluation of beech and oak wood bent at different radii [J].
Buyuksari, Umit ;
As, Nusret .
COMPOSITES PART B-ENGINEERING, 2013, 48 :106-110
[36]   Review of non-destructive testing for quality evaluation of in-service timber utility poles [J].
Bahrami, Neda ;
Rajput, Himadri ;
Changotra, Rahil ;
Murray, Gordon ;
He, Quan .
STRUCTURES, 2025, 79
[37]   Non-Destructive Evaluation of Closure Joints in Accelerated Bridge Construction using a Damage Etiology Approach [J].
Farhangdoust, Saman ;
Mehrabi, Armin .
APPLIED SCIENCES-BASEL, 2020, 10 (04)
[38]   Electromagnetic non-destructive evaluation techniques for the monitoring of water and chloride ingress into concrete: a comparative study [J].
du Plooy, R. ;
Villain, G. ;
Lopes, S. Palma ;
Ihamouten, A. ;
Derobert, X. ;
Thauvin, B. .
MATERIALS AND STRUCTURES, 2015, 48 (1-2) :369-386
[39]   Modelling and construction of new detector for non-destructive magnetic testing [J].
Lesnák, M ;
Pistora, J .
MICROWAVE AND OPTICAL TECHNOLOGY 2003, 2003, 5445 :278-283
[40]   A review of synthetic and augmented training data for machine learning in ultrasonic non-destructive evaluation [J].
Sebastian, Uhlig ;
Ilkin, Alkhasli ;
Frank, Schubert ;
Constanze, Tschoepe ;
Matthias, Wolff .
ULTRASONICS, 2023, 134