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- W3126483321 endingPage "103845" @default.
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- W3126483321 abstract "Traditional primary support made of reinforced concrete is widely applied but can bring many problems. Therefore, to study the mechanical behavior of corrugated-plate structure as primary support, several finite-element simulations in different sizes, shapes and elements were carried out. Besides, to ensure the exactness and practicability, a verification experiment and a BP neural network for prediction were done. The result shows that the outcome of beam-element and shell-element model is similar and the main deformation and stress is respectively down and compressive. And the difference between horseshoe-shaped and circular tunnel is small in aspect of vertical displacement and stress. Then, when t (thickness) increases, d (maximum vertical deformation) and s (maximum stress) decrease more and more slowly. When w (width) ascends, d and s improve more and more slowly. When h (height) becomes bigger, d declines more and more slowly and s goes down slowly, fast and slowly again. The outcome of the experiment conforms with the simulation. Next, by BP neural network, using top load and t, w, h to predict d and s is feasible and efficient. It performs better when predicting d. This paper can provide reference for the application of corrugated-steel-plate structure as new-type primary support." @default.
- W3126483321 created "2021-02-15" @default.
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- W3126483321 date "2021-05-01" @default.
- W3126483321 modified "2023-10-16" @default.
- W3126483321 title "Analysis and prediction of mechanical characteristics of corrugated plate as primary support in tunnels" @default.
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- W3126483321 doi "https://doi.org/10.1016/j.tust.2021.103845" @default.
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