A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization
Ground penetrating radar (GPR), as a nondestructive testing tool, is suitable for estimating the thickness and permittivity of layers within the pavement. However, it would become problematic when the layer is thin with respect to the probing pulse width, in which case overlapping between the reflec...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2018-09-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/18/9/2916 |
| _version_ | 1817992206027325440 |
|---|---|
| author | Jingwei Zhang Shengbo Ye Li Yi Yuquan Lin Hai Liu Guangyou Fang |
| author_facet | Jingwei Zhang Shengbo Ye Li Yi Yuquan Lin Hai Liu Guangyou Fang |
| author_sort | Jingwei Zhang |
| collection | DOAJ |
| description | Ground penetrating radar (GPR), as a nondestructive testing tool, is suitable for estimating the thickness and permittivity of layers within the pavement. However, it would become problematic when the layer is thin with respect to the probing pulse width, in which case overlapping between the reflected pulses occurs. In order to deal with this problem, a hybrid method based on multilayer perceptrons (MLPs) and a local optimization algorithm is proposed. This method can be divided into two stages. In the first stage, the MLPs roughly estimate the thickness and the permittivity of the GPR signal. In the second stage, these roughly estimated values are used as the initial solution of the full-waveform inversion algorithm. The hybrid method and the conventional global optimization algorithm are respectively used to perform the full-waveform inversion of the simulated GPR data. Under the same inversion precision, the objective function needs to be calculated for 450 times and 30 times for the conventional method and the hybrid method, respectively. The hybrid method is also applied to a measured data, and the thickness estimation error is 1.2 mm. The results show the high efficiency and accuracy of such hybrid method to resolve the problem of estimating the thickness and permittivity of a “thin layer”. |
| first_indexed | 2024-04-14T01:23:20Z |
| format | Article |
| id | doaj.art-2957d5fc0963451cb3d112bb76b5790a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-14T01:23:20Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2957d5fc0963451cb3d112bb76b5790a2022-12-22T02:20:32ZengMDPI AGSensors1424-82202018-09-01189291610.3390/s18092916s18092916A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement CharacterizationJingwei Zhang0Shengbo Ye1Li Yi2Yuquan Lin3Hai Liu4Guangyou Fang5School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100149, ChinaInstitute of Electronics, Chinese Academy of Sciences, Beijing 100190, ChinaFukushima Renewable Energy Institute, AIST (FREA), Fukushima 963-0298, JapanSchool of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100149, ChinaSchool of Civil Engineering, Guangzhou University, Guangzhou 510006, ChinaInstitute of Electronics, Chinese Academy of Sciences, Beijing 100190, ChinaGround penetrating radar (GPR), as a nondestructive testing tool, is suitable for estimating the thickness and permittivity of layers within the pavement. However, it would become problematic when the layer is thin with respect to the probing pulse width, in which case overlapping between the reflected pulses occurs. In order to deal with this problem, a hybrid method based on multilayer perceptrons (MLPs) and a local optimization algorithm is proposed. This method can be divided into two stages. In the first stage, the MLPs roughly estimate the thickness and the permittivity of the GPR signal. In the second stage, these roughly estimated values are used as the initial solution of the full-waveform inversion algorithm. The hybrid method and the conventional global optimization algorithm are respectively used to perform the full-waveform inversion of the simulated GPR data. Under the same inversion precision, the objective function needs to be calculated for 450 times and 30 times for the conventional method and the hybrid method, respectively. The hybrid method is also applied to a measured data, and the thickness estimation error is 1.2 mm. The results show the high efficiency and accuracy of such hybrid method to resolve the problem of estimating the thickness and permittivity of a “thin layer”.http://www.mdpi.com/1424-8220/18/9/2916ground penetrating radar (GPR)hybrid methodmultilayer perceptrons (MLPs)thin layer |
| spellingShingle | Jingwei Zhang Shengbo Ye Li Yi Yuquan Lin Hai Liu Guangyou Fang A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization Sensors ground penetrating radar (GPR) hybrid method multilayer perceptrons (MLPs) thin layer |
| title | A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization |
| title_full | A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization |
| title_fullStr | A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization |
| title_full_unstemmed | A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization |
| title_short | A Hybrid Method Applied to Improve the Efficiency of Full-Waveform Inversion for Pavement Characterization |
| title_sort | hybrid method applied to improve the efficiency of full waveform inversion for pavement characterization |
| topic | ground penetrating radar (GPR) hybrid method multilayer perceptrons (MLPs) thin layer |
| url | http://www.mdpi.com/1424-8220/18/9/2916 |
| work_keys_str_mv | AT jingweizhang ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT shengboye ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT liyi ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT yuquanlin ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT hailiu ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT guangyoufang ahybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT jingweizhang hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT shengboye hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT liyi hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT yuquanlin hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT hailiu hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization AT guangyoufang hybridmethodappliedtoimprovetheefficiencyoffullwaveforminversionforpavementcharacterization |