基于机器学习算法的波纹腹板斜拉桥性能评价

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning Pub Date : 2023-03-17 DOI:10.1145/3590003.3590050

Zeyu Du, Zhenhua Pan, Z. Xiong, Lei He, Haipeng Wang, Houda Zhu, Jiangbo Wang

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引用次数: 1

摘要

波纹钢腹板适用于大跨度斜拉桥的设计方案。采用活载结构指标(LLSI)对波形钢腹板桥梁的受力性能进行了评价。为探讨腹板高度和重量对斜拉桥结构性能的影响，建立了参数化数值模型。构建了基于粒子群优化BP神经网络的机器学习模型，对结构变量与活载结构指标之间的相关性进行预测和验证。

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Performance Evaluation of an Extradosed Cable-Stayed Bridge with Corrugated Web based on Machine Learning Algorithms

Corrugated steel web is suitable for large-span extradosed cable-stayed bridge's design scheme. Live Load Structural Index (LLSI) is applied to evaluate the performance of the bridge with corrugated steel web. Parametric numeric models were built and investigated to explore the web height and weight's effect on the structural performance of an extradosed cable-stayed bridge. Machine learning model involving Particle Swarm Optimization BP neural network has been constructed to predict the correlation and validate the relationship between the structural variable and live load structural index.

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来源期刊

Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning

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