Regression analysis of the blasting vibration effect in cross tunnels

Zhao, Yan; Shan, Renliang; Wang, Hailong; Tong, Xiao; Li, Yunhe

doi:10.1007/s12517-021-08257-y

Cited by 9 publications

(2 citation statements)

References 35 publications

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“…Among them, the frequency of cowords shows more: smart education, smart teaching design, design model, blended teaching, and educational optimal allocation of educational resources. e overall change trend can be characterized as: they began to show an upward trend in 2016, reached the peak in 2019, and decreased slightly in 2020, showing a general trend [20,21] of increasing year by year.…”

Section: Introductionmentioning

confidence: 99%

Smart Teaching Design Mode based on Machine Learning and its Effect Evaluation

Su¹

2022

Mathematical Problems in Engineering

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With the continuous progress of science and technology, the mode of smart teaching is more and more applied in the actual teaching process. Under the intelligent teaching system mode, teachers and students can jointly complete the construction of curriculum resources and classroom teaching tasks. This paper evaluates its application effect by introducing two examples of smart teaching. Among them, the evaluation effect of the academic teaching network system shows that the teaching network system based on machine learning is composed of three parts: model selection, data preparation, and modeling prediction. Moreover, it can greatly improve the prediction performance of the intelligent algorithm in the teaching mode by introducing the oversampling technology SMOTE algorithm (Synthetic Minority Oversampling Technique). To further verify the advantages of the smart teaching model, an example of social sciences teaching is introduced. The results show that the relevant predictive performance indicators in the computer engineering discipline are improved by using a combination of intelligent algorithms.

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Section: Introductionmentioning

confidence: 99%

Smart Teaching Design Mode based on Machine Learning and its Effect Evaluation

Su¹

2022

Mathematical Problems in Engineering

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“…CEEMDAN can solve the modal aliasing phenomenon caused by the traditional decomposition method, obtain pure main modal components and improve the adaptability of subsequent HHT analysis 22 . However, CEEMDAN still cannot avoid the influence of residual noise 23 . Meanwhile, the time–frequency energy analysis method based on EMD or HHT is mainly used to identify and analyse the blasting vibration characteristics of conventional tunnel and mining engineering, rarely involved in groundwater-sealed tunnel engineering.…”

Section: Introductionmentioning

confidence: 99%

Identification of the blasting vibration characteristics of groundwater-sealed tunnel

Rao,

Huang

2023

Sci Rep

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Blasting is widely used in mining, subway, demolition and groundwater-sealed tunnel, among them, the last one is widely concerned because of its many adjacent tunnels, high anti-seepage requirements, strict blasting control, etc. The identification of blasting characteristics is of great significance to the blasting construction and the safety evaluation of the groundwater-sealed tunnel. In view of the problem that conventional feature identification methods are less explored in groundwater-sealed tunnel, a complementary ensemble empirical mode decomposition with adaptive noise and multiscale permutation entropy and Hilbert–Huang transform (HHT) method was proposed. Then, the proposed method was verified by the numerical simulation and the Huangdao groundwater-sealed tunnel engineering. The results show that the proposed method can suppress modal aliasing and signal noise and identify the blasting characteristics of groundwater-sealed tunnel effectively. In addition, the blasting vibration energy which accounts for 94.7% in the frequency range of 0–200 Hz, 72.5% of 0–50 Hz was summarized. Furthermore, the safety status of each monitoring point was evaluated through HHT and the feasibility of millisecond blasting was identified. The method proposed can identify the vibration characteristics and safety status of groundwater-sealed tunnel from the perspective of time–frequency and energy effectively.

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