Author(s)

Huijing Duan ¹, Gongxing Yan ¹, Peng Liu ¹

Affiliation(s)

¹ School of Intelligent Construction, Luzhou Vocational and Technical College, Luzhou, 646000, Sichuan, China

Corresponding Author

Gongxing Yan

ABSTRACT

As the scope of rock slope engineering grows and the complexity of the service environment increases, the traditional stability assessment methods based on empirical parameters and single numerical analysis cannot reflect the actual mechanical response of slopes, and thus, issues like wide parameter uncertainties, low predictive accuracy of displacement, and dependence on experience in the design of reinforcements are found. To overcome these weaknesses, this paper proposes an intelligent calculation approach to build a combined calculation approach to the back analysis of the slope displacement of rocks and the optimization of reinforcement based on monitoring data. Regarding the method implementation, an error minimization model of measured and calculated displacements is created, and a particle swarm optimization algorithm is applied to invert the major parameters, including elastic modulus, cohesion and internal friction angle. According to this, the inverted parameters are incorporated into a numerical model and the displacement and stress fields are coupledly calculated, and the possible slip modes are determined using the indices of displacement gradient and shear strain. Moreover, a multi-objective optimization model with the displacement control and the stability improvement as its objectives are developed in order to logically reverse engineer the reinforcement parameters like anchor length, spacing and prestress and, in this way, attain optimized design of the reinforcement scheme. The research shows that the approach can be effective in enhancing the parameter identification accuracy and rationality of reinforcement design to give a data-driven intelligent calculation path of the analysis of the stability and engineering of the reinforcements of rock slopes.

KEYWORDS

Rock slope stability analysis; displacement inverse analysis; intelligent optimization algorithm; numerical calculation model; reinforcement optimization design

CITE THIS PAPER

Huijing Duan, Gongxing Yan, Peng Liu. Intelligent Displacement Back Analysis and Reinforcement Calculation Method for Rock Slopes Based on Intelligent Computation. Journal of Civil Engineering and Urban Planning (2026). Vol. 8, No.1, 100-109. DOI: http://dx.doi.org/10.23977/jceup.2026.080110.

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