{"title":"Statistical characterization and attenuation of vibration effect for continuous asphalt pavement survey using ground-penetrating radar","authors":"Siqi Wang, Tao Ma, Weiguang Zhang","doi":"10.1016/j.autcon.2025.106057","DOIUrl":null,"url":null,"abstract":"<div><div>The vibrations from the antenna during ground-penetrating radar (GPR) surveys may introduce unwanted frequency components in the radar data, thus producing noise in the predicted dielectric constant values along the survey distance. Existing statistical methods for vibration effect attenuation require multiple inputs, which is not feasible for real-time processing. This paper characterized the vibration effect and proposed a real-time statistical method for vibration effect attenuation during continuous GPR surveys. Time and frequency domain features were investigated on the dielectric constant values along the survey distance. Results show that the vibration noise is Gaussian-distributed. Window-based-smoothing methods were proposed to remove the vibration effect. The mean prediction error at the highest operating speed (40 km/h) drops from 11.8 % to 2.4 %. The recommended Gaussian fitting window does not require customized input parameters. The processing time is within seconds, which allows real-time and automatic attenuation of the vibration effect.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"173 ","pages":"Article 106057"},"PeriodicalIF":9.6000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Automation in Construction","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0926580525000974","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CONSTRUCTION & BUILDING TECHNOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The vibrations from the antenna during ground-penetrating radar (GPR) surveys may introduce unwanted frequency components in the radar data, thus producing noise in the predicted dielectric constant values along the survey distance. Existing statistical methods for vibration effect attenuation require multiple inputs, which is not feasible for real-time processing. This paper characterized the vibration effect and proposed a real-time statistical method for vibration effect attenuation during continuous GPR surveys. Time and frequency domain features were investigated on the dielectric constant values along the survey distance. Results show that the vibration noise is Gaussian-distributed. Window-based-smoothing methods were proposed to remove the vibration effect. The mean prediction error at the highest operating speed (40 km/h) drops from 11.8 % to 2.4 %. The recommended Gaussian fitting window does not require customized input parameters. The processing time is within seconds, which allows real-time and automatic attenuation of the vibration effect.
期刊介绍:
Automation in Construction is an international journal that focuses on publishing original research papers related to the use of Information Technologies in various aspects of the construction industry. The journal covers topics such as design, engineering, construction technologies, and the maintenance and management of constructed facilities.
The scope of Automation in Construction is extensive and covers all stages of the construction life cycle. This includes initial planning and design, construction of the facility, operation and maintenance, as well as the eventual dismantling and recycling of buildings and engineering structures.