Lujun Yin

Abstract The trend term and noise in blasting vibration signals severely affect the accuracy of analysis. However, existing adaptive decomposition methods still have limitations in removing these trend and noise components. This study develops a Fourier decomposition–based (FDM) preprocessing approach for blasting vibration signals by optimizing key parameters, including the cross-correlation threshold, the ultra-low-frequency energy threshold, and the decomposition search path.

Abstract In blasting engineering, accurate prediction of peak particle velocity (PPV) is essential to ensuring the safety of surrounding structures. In machine-learning-based PPV prediction, symmetric loss functions (e.g. MSE) are commonly adopted as optimisation objectives. However, these functions treat overestimation and underestimation equally, making them ill-suited for applications with stringent safety requirements, where hazardous underestimation must be avoided.

Loading metrics Open Access Peer-reviewed Research Article Citation: Zhao Y, Tao J, Li P, Yin L, Zhang Z, Yan H, et al. (2026) Calculation of ultimate bearing capacity and analysis of bearing characteristics for pile group foundation to underlying offset cave. PLoS One 21(3): e0344045. https://doi.org/10.1371/journal.pone.0344045 Editor: Dajiang Geng, China Construction Fourth Engineering Division Corp.