摘要
由于海上桩基安装具有较大的风险,在工程实施前对桩基安装进行准确预测,在桩基安装后对数据进行统计分析就显得尤为重要。该文基于以往的打桩数据建立了桩基安装数据库,为有效利用数据库中已有的桩基安装数据,利用相似度算法和孪生网络技术,形成针对海上打桩案例的推荐方法。实验结果表明,采用相似度算法可以在打桩前为桩基施工人员推荐与待施工场地最为相符的桩基安装案例;采用孪生网络,可以帮助科研人员识别最相似的打桩案例。该研究成果可为设计施工以及科学研究人员提供有力的数据支撑。
Because the offshore pile installation has great risks,it is very important to do accurately analysis and to do statistical analysis before and after pile installation.A pile foundation installation database was established based on previous pile driving data.In order to effectively utilize the existing pile foundation installation data in the database,a recommendation method for offshore pile driving cases was formed using similarity algorithms and twin network technology.The results show that the similarity algorithm can be used to recommend the cases that are most consistent with the construction site before pile driving.Twin network can help researchers identify the most similar pile driving cases.The research results could be helpful for engineers and researchers.
作者
黄山田
鲁华伟
李怀亮
刘前标
李飒
Huang Shantian;Lu Huawei;Li Huailiang;Liu Qianbiao;Li Sa(Offshore Oil Engineering Co.,Ltd.,Tianjin 300451,China;Tianjin University,Tianjin 300072,China)
出处
《计算机应用与软件》
北大核心
2025年第9期18-23,43,共7页
Computer Applications and Software
基金
国家自然科学基金项目(51890911)。
关键词
数据库
相似度算法
孪生网络
桩基安装
Database
Similarity algorithm
Twin network technology
Pile installation
作者简介
鲁华伟,工程师;李怀亮,教授级高工;刘前标,博士生;李飒,教授。
