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A platform for research: civil engineering, architecture and urbanism
Slope safety coefficient calculation method based on deep learning
The invention discloses a slope safety coefficient calculation method based on deep learning, and relates to the field of civil engineering, in particular to slope safety coefficient calculation in geotechnical engineering. Physical and mechanical parameters of the side slope are obtained, a deep learning model is established, and the safety coefficient of the corresponding side slope is directly calculated. Compared with a traditional method, modeling and iterative calculation are not needed, the labor cost and the time cost are reduced, and the working efficiency is effectively improved.
本发明是一种基于深度学习的边坡安全系数计算方法，涉及土木工程领域，具体是涉及到岩土工程中边坡的安全系数计算。获取边坡物理力学参数，建立深度学习模型，直接计算出对应边坡的安全系数。与传统方法相比，本发明无需建模与迭代计算，降低人工成本与时间成本，有效提高工作效率。
Slope safety coefficient calculation method based on deep learning
The invention discloses a slope safety coefficient calculation method based on deep learning, and relates to the field of civil engineering, in particular to slope safety coefficient calculation in geotechnical engineering. Physical and mechanical parameters of the side slope are obtained, a deep learning model is established, and the safety coefficient of the corresponding side slope is directly calculated. Compared with a traditional method, modeling and iterative calculation are not needed, the labor cost and the time cost are reduced, and the working efficiency is effectively improved.
本发明是一种基于深度学习的边坡安全系数计算方法，涉及土木工程领域，具体是涉及到岩土工程中边坡的安全系数计算。获取边坡物理力学参数，建立深度学习模型，直接计算出对应边坡的安全系数。与传统方法相比，本发明无需建模与迭代计算，降低人工成本与时间成本，有效提高工作效率。
Slope safety coefficient calculation method based on deep learning
一种基于深度学习的边坡安全系数计算方法
ZHANG LIUJIE (author)
2023-10-31
Patent
Electronic Resource
Chinese
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