Semantic Scholar Open Access 2022

Analysis and prediction of the impact of tunnel underpassing railroad based on ABAQUS

Renliang Guo Yongjuan Zhang Rui Qi

Abstrak

Based on the background of Qingdao subway tunnel underpassing the railway, the calculation model was established by ABAQUS computer simulation software to study the influence of tunnel construction and train disturbance on railway subgrade. Through ABAQUS and its DLOAD subroutine and Visual Studio programming, different train running speeds were realized, and the variation law of subgrade acceleration was obtained. BP neural network model was used to predict the peak acceleration of subgrade. The results show that with the increase of the speed of the vehicle, the peak acceleration of the subgrade increases continuously, showing a double hump distribution; the vibration acceleration generated by train operation has obvious influence on railway subgrade. BP neural network can accurately predict the peak acceleration of subgrade under the combined action of tunnel construction and train operation.

Penulis (3)

R

Renliang Guo

Y

Yongjuan Zhang

R

Rui Qi

Format Sitasi

Guo, R., Zhang, Y., Qi, R. (2022). Analysis and prediction of the impact of tunnel underpassing railroad based on ABAQUS. https://doi.org/10.1109/CEI57409.2022.9950073

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Sumber Database
Semantic Scholar
DOI
10.1109/CEI57409.2022.9950073
Akses
Open Access ✓