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Wave reflection is one of the key problems affecting wave simulation quality in ocean engineering basin. The deep ocean engineering basin is equipped with two-sided segmented wavemakers and two wave absorbing beaches, which are located opposite to wave generators to reduce wave reflection effects. When an oblique longcrested wave is made by two-sided segmented wavemakers in a wave basin, two bi-directional reflected waves with the same azimuth but opposite propagation directions are generated. According to this feature, based on the two-point approach developed by Goda, a method to separate an incident regular wave from two bi-directional reflected waves using three wave gauges is proposed. The validity of this method is proved by numerical composite waves. The results indicate that the method can separate incident wave from reflected waves effectively. The method can be used to determine the reflection coefficient and verify the capacity of wave absorbing beaches in deep ocean engineering basin. 相似文献
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为探究钢锚箱式锚固结构弹塑性力学行为,以某中承式吊杆拱系梁锚固区钢锚箱为工程背景,使用有限元软件建立了局部空间有限元模型,分析了弹性状态和极限状态下钢锚箱主要板件的受力规律.计算结果表明:弹性状态下,钢锚箱支撑板主要受力表现为面外受弯,最大正应力为-180 MPa,内外侧加劲板在锚下区域有轻微应力集中现象,承压板受力复杂,空间弯曲现象较为明显,应力峰值达260 MPa;在极限状态下,支撑板大部分区域达到屈服状态,塑性应变发展较快,承压板与腹板焊接位置也出现局部屈服,内外侧加劲板除锚下区域达到屈服外,其余大部分位置仍然处于弹性阶段. 相似文献
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为准确识别波浪砰击载荷,保障海洋平台作业的安全性,基于卷积神经网络(CNN)模型,建立立柱-甲板简化模型的砰击载荷识别方法,根据结构测点应变响应数据对砰击载荷进行识别。通过分析半潜式平台立柱-甲板处砰击载荷分布的特点,进行有限元数值计算,生成训练数据集和测试数据集,同时考虑数据噪声的影响。结果表明:CNN砰击载荷识别模型具有很高的识别精度和良好的抗噪声能力,在无噪声和有噪声情况下,整体精度分别为99.6%和91.9%;相比传统的反向传播神经网络(BPNN)模型,CNN模型的识别精度更高。 相似文献
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针对现有建筑信息模型(BIM,Building Information Modeling)+地理信息系统(GIS,Geographic Information System)可视化方案部署和应用复杂、依赖商业软件、要求带宽高等问题,研发并设计了基于.NET6技术的铁路BIM可视化综合应用系统。通过工业基础类(IFC,Industry Foundation Class)文件解析转换、数模分离及属性数据存储等技术,实现了BIM解析、部署、应用一体化及动态场景演示等功能。该系统可对铁路单工点、单场段、车站等范围内的BIM成果进行部署和应用,是对现有BIM+GIS大体量模型部署方案的有效补充。系统的应用有利于现阶段BIM成果发挥更大的应用价值,为实际工程项目灵活部署提供参考。 相似文献
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