Yao Wang , Hai Liu , Xu Meng , Guiquan Yuan , Huiguo Wang , Ruige Shi , Mengxiong Tang , Billie F. Spencer
{"title":"Compaction test of rolled rockfill material using multimodal Rayleigh wave dispersion inversion","authors":"Yao Wang , Hai Liu , Xu Meng , Guiquan Yuan , Huiguo Wang , Ruige Shi , Mengxiong Tang , Billie F. Spencer","doi":"10.1016/j.autcon.2025.106043","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigated the potential of Rayleigh wave multimodal dispersion inversion to advance automatic construction through real-time, in-situ measurement of rockfill compaction. An acquisition system and inversion method were developed to automate the process of obtaining compaction depth profiles and implemented during a dynamic rolling test. A rockfill layer under 2 m was tested, with Rayleigh wave data collected after different compaction passes. Multi-mode dispersion inversion was used to analyze the material's velocity structure. The results show that multimodal dispersion curves accurately reflect changes in compaction. As compaction increased, the velocity structure transitioned from a complex layered to a uniform single-layered form, with a corresponding rise in the elastic modulus. Furthermore, the calculated Young's modulus exhibited a strong positive correlation with dry density measured by excavation tests. These findings offer an approach for intelligent compaction techniques, contributing to the automation of in-situ compaction monitoring in rockfill construction.</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"172 ","pages":"Article 106043"},"PeriodicalIF":9.6000,"publicationDate":"2025-02-07","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/S0926580525000834","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
This paper investigated the potential of Rayleigh wave multimodal dispersion inversion to advance automatic construction through real-time, in-situ measurement of rockfill compaction. An acquisition system and inversion method were developed to automate the process of obtaining compaction depth profiles and implemented during a dynamic rolling test. A rockfill layer under 2 m was tested, with Rayleigh wave data collected after different compaction passes. Multi-mode dispersion inversion was used to analyze the material's velocity structure. The results show that multimodal dispersion curves accurately reflect changes in compaction. As compaction increased, the velocity structure transitioned from a complex layered to a uniform single-layered form, with a corresponding rise in the elastic modulus. Furthermore, the calculated Young's modulus exhibited a strong positive correlation with dry density measured by excavation tests. These findings offer an approach for intelligent compaction techniques, contributing to the automation of in-situ compaction monitoring in rockfill construction.
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.