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Academic Journal of Architecture and Geotechnical Engineering, 2024, 6(4); doi: 10.25236/AJAGE.2024.060405.

Numerical Simulation of the Structural Performance of Ecological Toughness of Canal Bank Slopes and Its Influence Law Study

Author(s)

Songzhe Li, Hongqian Zhang

Corresponding Author:
Hongqian Zhang
Affiliation(s)

Key Laboratory of Engineering Sediment, Tianjin Research Institute for Water Transport Engineering, Ministry of Transport, Tianjin, 300456, China

Abstract

In this paper, the performance of the ecological toughness structure of canal bank slopes is investigated, and its influence law is analyzed through numerical simulation, aiming to provide scientific basis for the management and protection of canal bank slopes. Numerical simulation method is adopted in the study, and the main steps include numerical model establishment, parameter setting and adjustment and simulation of different working conditions. In the experimental stage, the performance of the ecological resilience structure of the canal bank slope and its influence law are investigated by numerical simulation method. In the stability experiment, the effect of shrub configuration is the most significant, in which the stability coefficient increases to 59. In the toughness experiment, the toughness index of clay increases to 60, and in the final environmental impact experiment, the ecological benefit coefficient of ecological berm increases to 0.93. From the above data conclusions, it can be seen that shrub configuration, clay, and ecological slope protection structure have the most advantages in improving the stability, resilience, and ecological benefits of canal bank slopes.

Keywords

Canal Bank Slopes, Ecological Resilience, Numerical Modeling, Vegetation Configuration, Soil Type

Cite This Paper

Songzhe Li, Hongqian Zhang. Numerical Simulation of the Structural Performance of Ecological Toughness of Canal Bank Slopes and Its Influence Law Study. Academic Journal of Architecture and Geotechnical Engineering (2024) Vol. 6, Issue 4: 26-33. https://doi.org/10.25236/AJAGE.2024.060405.

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