Searching for Slip Surface of Disturbed Slope Based on Logistic Function

Joint Authors

Wang, Yixian
Zhu, Yalin
Peng, Xuefeng
Tan, Kun
Shi, Ming
Hong, Yin

Source

Shock and Vibration

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-03-10

Country of Publication

Egypt

No. of Pages

9

Main Subjects

Civil Engineering

Abstract EN

In the slope stability analysis, how to make the slip surface of the structure more precise and smoother has been the focus of research when fitting the slip surface with known numerical points.

The study found that the logistic function has both advantages in fitting the slip surface.

The related parameters (M, A, and K) are derived by the threshold, symmetry, and precision control of its function.

Logistic function constructs the slip surface and compares it with the broken-line slip surface; the numerical results show that the slip points on the two slip surfaces are consistent, indicating that the logistic function fits the curve correctly; the logistic function smooths the original polyline curve, which facilitates solving the direction vector of the curve.

American Psychological Association (APA)

Zhu, Yalin& Peng, Xuefeng& Tan, Kun& Shi, Ming& Hong, Yin& Wang, Yixian. 2020. Searching for Slip Surface of Disturbed Slope Based on Logistic Function. Shock and Vibration،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209722

Modern Language Association (MLA)

Zhu, Yalin…[et al.]. Searching for Slip Surface of Disturbed Slope Based on Logistic Function. Shock and Vibration No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1209722

American Medical Association (AMA)

Zhu, Yalin& Peng, Xuefeng& Tan, Kun& Shi, Ming& Hong, Yin& Wang, Yixian. Searching for Slip Surface of Disturbed Slope Based on Logistic Function. Shock and Vibration. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1209722

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1209722