SHAO Guo-jian, MAO Ze-hui, SU Yu-chen, et al. Investigation into transmission coefficient of calcareous sand: waveform coupling effects and gradient boosting prediction method[J]. 2025, 46(11): 3661-3672.
DOI:
SHAO Guo-jian, MAO Ze-hui, SU Yu-chen, et al. Investigation into transmission coefficient of calcareous sand: waveform coupling effects and gradient boosting prediction method[J]. 2025, 46(11): 3661-3672.DOI: 10.16285/j.rsm.2024.1585.
Investigation into transmission coefficient of calcareous sand: waveform coupling effects and gradient boosting prediction method
The variation in characteristic values of stress waves before and after passing through a material serves as a critical basis for evaluating its wave attenuation capacity. This can be characterized by the ratio of transmitted wave amplitude to the initial incident wave amplitude (i.e.
transmission coefficient) in SHPB tests. However
due to the close correlation between the transmission coefficient and waveform parameters
it remains challenging to establish a quantitative characterization method for the transmission coefficient. Therefore
this study focuses on porous
irregular
and fragile calcareous sand as the research object. By combining physical experiments with numerical simulations
we investigate the influence of pulse width
platform duration
rising edge rate
falling edge rate
peak stress
and the central axis of symmetry on the transmission coefficient of calcareous sand. It is found that the transmission coefficient responds significantly to the coupling effects of the pulse width and the central axis of symmetry of the stress wave
the coupling effects of the platform section duration and the rising and falling edge rates
the coupling effects of the pulse width and the peak stress
as well as the coupling effects of the falling edge rate and the pulse width. Conversely
the response to the coupled effects of peak stress
rising edge rate
and falling edge rate is not pronounced. Owing to the difficulty in completely decoupling these waveform parameters
a prediction method is proposed for the transmission coefficient based on the gradient boosting algorithm
which effectively addresses multi-factor coupling issues. When the number of training samples reaches 91
the prediction accuracy exceeds 96%
which can effectively establish the mapping relationship between waveform parameters and transmission coefficients
providing a reference basis for the load design and calculation of protective engineering structures.