A method for back analysis of physical and mechanical parameters of earth-rockfill dam based on hybrid intelligent algorithm

By combining a hybrid intelligent algorithm framework with a multi-index weighted objective function, the problems of indoor test bias and slow convergence of intelligent algorithms in the acquisition of physical and mechanical parameters of earth-rock dams are solved, achieving efficient and stable parameter inversion, which is applicable to the engineering analysis of earth-rock dams under various models and geological conditions.

CN122197495BActive Publication Date: 2026-07-21DALIAN UNIV OF TECH +1
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DALIAN UNIV OF TECH
Filing Date
2026-05-14
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

Existing technologies for obtaining physical and mechanical parameters of earth-rock dams suffer from problems such as large deviations in indoor test parameters, high costs and low efficiency in field tests. Furthermore, existing intelligent algorithms are slow to converge in high-dimensional inversion and are prone to getting trapped in local optima, making it difficult to meet the needs of complex earth-rock dam projects.

Method used

A hybrid intelligent algorithm framework combining an improved particle swarm optimization algorithm and an improved tabu search algorithm is adopted. By combining a multi-index weighted comprehensive objective function and through the synergistic optimization of global search and local fine optimization, the physical and mechanical parameters of earth-rock dams are efficiently and accurately inverted.

Benefits of technology

It achieves efficient, high-precision, and stability inversion of the physical and mechanical parameters of earth-rock dams, accurately obtaining parameters that reflect the actual working state of the dam. It is applicable to various constitutive models and complex geological conditions, and supports rapid response to engineering analysis needs.

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Abstract

The application discloses a soil-rock dam physical mechanics parameter inversion analysis method based on a hybrid intelligent algorithm, and belongs to the technical field of parameter inversion analysis of geotechnical engineering and hydraulic structure engineering. First, a finite element numerical model of soil-rock dam body-dam foundation integration is constructed, and physical mechanics parameters to be inverted and feasible value ranges are determined. Second, a multi-index weighted comprehensive objective function and a hybrid intelligent algorithm framework are constructed. Third, the hybrid intelligent algorithm is iterated and optimized, and a global optimal parameter set is output. Finally, inversion result precision is verified. The application can solve problems of slow late-stage convergence, easy falling into local optimization, insufficient local search capability and difficulty in giving consideration to global search and local fine optimization when a single intelligent algorithm is applied to soil-rock dam physical mechanics parameter inversion, and realizes efficient, high-precision and high-stability inversion of multi-dimensional soil-rock dam physical mechanics parameters.
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