Abstract

An evaluation method for the seismic stability of embankment slope was presented based on catastrophe theory. Seven control factors, including internal frictional angle, cohesion force, slope height, slope angle, surface gradients, peak acceleration, and distance to fault were selected for analysis of multi-level objective decomposition. According to the normalization formula and the fuzzy subject function produced by combination of catastrophe theory and fuzzy math, a recursive calculation was carried out to obtain a catastrophic affiliated functional value, which can be used to evaluate the seismic stability of embankment slope. Fifteen samples were used to verify the effectiveness of this method. The results show that compared with the traditional quantitative method, the catastrophe progression owns higher accuracy and good application potential in predicting the seismic stability of embankment slope.

Highlights

  • At 14:28, May 12, 2008, a great earthquake measured Ms = 8.0 hit Wenchuan, Sichuan Province of China

  • An evaluation method for the seismic stability of embankment slope was presented based on catastrophe theory

  • Seven control factors, including internal frictional angle, cohesion force, slope height, slope angle, surface gradients, peak acceleration, and distance to fault were selected for analysis of multi-level objective decomposition

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Summary

Introduction

Mechanism, and sliding surface of earthquake-induced landslides are studied by means of field investigation and shaking table model tests. Because the stability of a slope is affected by geological and engineering factors, and many of the factors can not be obtained directly, we have to use uncertain method to deal with this kind of issues, such as fuzzy math [4], artificial neural network method [5], grey theory [6], support vector machine model [7], and extension method [8]. Catastrophe theory, which originated from the study of the French mathematician Rene Thom in the 1960s, becomes very popular due to the efforts of Christopher Zeeman [3] in the 1970s It considers the special case where the long-run stable equilibrium can be identified with the minimum of a smooth, well-defined potential function (Lyapunov function) [9, 10]. Slope, and a reasonable result was achieved, indicating that the catastrophe progression method is feasible in predicting the seismic stability of embankment slope

Key evaluation technique and steps of catastrophe progression method
Establishment of the hierarchy analysis model
Determination of catastrophe system classification for each hierarchy
Normalizing the control variables of the catastrophe model
Normalization formula
Comprehensive evaluation through normalization formulas
Evaluation system of seismic stability of embankment slope
Evaluation standard
Determination of utility function values of bottom factors
Result analysis
Conclusion

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