Optimization of the shotcrete spraying process in blast-based tunnel construction: Insights for enhancing spraying quality
Year: 2025
Type: article
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
Source: Automation in Construction
Authors: Fenghua Liu, Jiajing Liu, Botao Zhong, Jun Sun
Language: English
Topic: Tunneling and Rock Mechanics
Subfield: Civil and Structural Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,490
Awards: G5928788987, G8012542427
OpenAlex ID: W4410015993
