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- Title
基于AI 的桥梁自动布跨及三维可视化技术研究.
- Authors
杨璟林; 周清华; 宋 浩; 韩广晖; 李 纯
- Abstract
In the process of railway bridge span design, there are challenges such as high workload, low level of automation, and lack of intuitive presentation of design solutions. To optimize bridge design and improve the efficiency of bridge span arrangement, this paper proposes an AI-based bridge automatic span arrangement and 3D visualization method. Addressing the issue of low efficiency in manual bridge span arrangement, a reinforcement learning AI algorithm is introduced to automatically calculate the positions of bridge piers based on bridge span principles. This optimization process enhances the efficiency of bridge span arrangement. To address the problem of non-intuitive presentation of design solutions, a 3D geographical environment is built on the Cesium platform. Line data is imported, and bridge parameter templates are customized to create and display bridge models effectively. Based on the above methods, a software application for bridge automatic span arrangement and 3D visualization is developed, enabling AI-driven automatic span arrangement and realistic environmental display of bridge models. Applied to a citys intercity railway project, the bridge automatic span arrangement and 3D visualization technology are utilized for comparing and optimizing bridge design solutions, providing valuable technical insights for design decision-making. The application demonstrates the feasibility and practicality of this approach in real engineering projects, contributing to the reduction of manpower resources and enhancement of design efficiency.
- Publication
Railway Standard Design, 2023, Vol 67, Issue 10, p127
- ISSN
1004-2954
- Publication type
Article
- DOI
10.13238/j.issn.1004-2954.202305310013