{"title":"Optimization of the shotcrete spraying process in blast-based tunnel construction: Insights for enhancing spraying quality","authors":"Fenghua Liu , Jiajing Liu , Botao Zhong , Jun Sun","doi":"10.1016/j.autcon.2025.106234","DOIUrl":null,"url":null,"abstract":"<div><div>Shotcrete is important to form the primary lining of blast-based tunnel construction, but this process heavily relies on operator expertise. Therefore, this research investigates the following research question: <em>How to effectively model and optimize the shotcrete spraying process to construct high-quality primary linings?</em> This paper proposes a spraying process optimization method, comprising three key components: (1) a spraying trajectories parameterization model; (2) a dynamic spraying deposition model; and (3) a spraying process parameter optimization algorithm. Validation through a railway tunnel case study demonstrates the method's effectiveness, yielding optimal spraying parameters with a mean absolute error of 0.6 cm against a target thickness of 19.4 cm. These findings provide actionable solutions for the spraying process, and reduce reliance on expertise. Future research directions can focus on integrating advanced material characterization into the spraying deposition model and developing intelligent sprayers for precise spraying parameter implementation</div></div>","PeriodicalId":8660,"journal":{"name":"Automation in Construction","volume":"175 ","pages":"Article 106234"},"PeriodicalIF":9.6000,"publicationDate":"2025-04-30","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/S0926580525002742","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
Shotcrete is important to form the primary lining of blast-based tunnel construction, but this process heavily relies on operator expertise. Therefore, this research investigates the following research question: How to effectively model and optimize the shotcrete spraying process to construct high-quality primary linings? This paper proposes a spraying process optimization method, comprising three key components: (1) a spraying trajectories parameterization model; (2) a dynamic spraying deposition model; and (3) a spraying process parameter optimization algorithm. Validation through a railway tunnel case study demonstrates the method's effectiveness, yielding optimal spraying parameters with a mean absolute error of 0.6 cm against a target thickness of 19.4 cm. These findings provide actionable solutions for the spraying process, and reduce reliance on expertise. Future research directions can focus on integrating advanced material characterization into the spraying deposition model and developing intelligent sprayers for precise spraying parameter implementation
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.