Ding Bosong, Lou Ping, Huang Can, Li Weihang, Wang You
School of Civil Engineering, Central South University, Changsha, 410075, China.
Sci Rep. 2024 Dec 30;14(1):32004. doi: 10.1038/s41598-024-83492-3.
An improved method tailored for anisotropic soft soils is presented, integrating theoretical models and field data to calculate the grouting quantity required for tunnel foundations. Given the complexities of soil interactions, particularly under variable geological conditions, this approach incorporates nonlinear behaviors and empirical field data to improve accuracy. Our findings reveal that integrating these theoretical frameworks significantly enhances the understanding of stress-strain behavior during grouting, enabling precise calculations of both axial and vertical expansion. Validation against numerical simulations demonstrates the model's reliability, highlighting the influence of soil types and grouting depths on expansion dynamics. This method not only helps mitigate risks in tunnel construction but also enhances foundation reinforcement strategies, driving progress in geotechnical engineering. It is particularly valuable for urban tunnel projects in complex geological conditions, where ensuring ground stability and safety is crucial.
提出了一种针对各向异性软土地层的改进方法,该方法整合理论模型和现场数据以计算隧道基础所需的注浆量。考虑到土壤相互作用的复杂性,尤其是在可变地质条件下,此方法纳入了非线性行为和现场经验数据以提高准确性。我们的研究结果表明,整合这些理论框架能显著增强对注浆过程中应力 - 应变行为的理解,从而能够精确计算轴向和垂直膨胀量。与数值模拟的验证表明了该模型的可靠性,突出了土壤类型和注浆深度对膨胀动态的影响。这种方法不仅有助于降低隧道施工中的风险,还能增强地基加固策略,推动岩土工程的发展。对于复杂地质条件下的城市隧道项目而言,确保地面稳定性和安全性至关重要,该方法尤其具有价值。