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231.
本文对某舰载雷达稳定平台基座在船摇、风载和振动载荷作用下的受力情况进行分析和计算。运用有限元技术对原基座的载荷分布进行分析,同时对基座进行结构优化设计。通过对优化后基座的有限元分析计算表明其满足减重要求和船摇、风载和振动条件下的强度设计要求。 相似文献
232.
The Powell's method was developed to determine the optimal stiffness and damping of multi-tuned mass dampers (MTMD) in offshore wind turbine (OWT) support structures under fatigue loads. Numerical examples indicated that the Powell's method results are always better than those using MTMD formulations. With the exception of the blade passing (3P) frequency, it was found in this work that a positive integer (n) multiple of the 3P frequency will also result in a large wind-induced vibration, which can be excited by the frequency of the first structural vertical rotation mode and will cause significant fatigue damage. The first translation mode TMD installed at the tower top is efficient to increase fatigue life at the tower and brace connections, but it cannot reduce fatigue damage at the column and brace connections below the platform. The second translation mode TMD can reduce fatigue damage resulting from large wave loads and thus increase the fatigue life of the braces and columns. The mode-3 TMD with a reduction in the 3(3P) vertical rotation can effectively increase the fatigue life of the braces and columns. Thus, the appropriate use of these TMDs can be effective for the fatigue problem of OWT support structures. 相似文献
233.
VDR图像压缩方法研究 总被引:3,自引:0,他引:3
简单介绍了船载航行数据记录仪(VDR)的基本功能、系统结构和工作原理,并对其图像压缩方法作了详细介绍.先分别介绍了离散余弦变换(DCT)和嵌入式零树小波编码(EZW)的优缺点,针对VDR图像压缩的具体情况,提出采用DCT和EZW相结合的方法,可发挥它们的优势,克服缺点,达到更好的压缩效果. 相似文献
234.
235.
This paper develops a conceptual framework for the generation of activity and travel patterns in the context of more general
structures and presents an integrated model system as a step toward development of an improved travel demand forecasting model
system. We propose a two-stage structure to model activity and travel behavior. The first stage, the stop generation and stop/auto
allocation models, consists of the choices for the number of household maintenance stops and the allocation of stops and autos
to household members. The second stage, the tour formation model, includes the choices for the number of tours and the assignment
of stops to tours for each individual, conditional on the choices in the first stage. Empirical results demonstrate that individual
and household socio-demographics are important factors affecting the first stage choices, the generation of maintenance stops
and the allocation of stops and autos among household members, and the second stage choices, the number of tours and the assignment
of stops to tours.
This revised version was published online in June 2006 with corrections to the Cover Date. 相似文献
236.
This paper presents an investigation of the temporal evolution of commuting mode choice preference structures. It contributes to two specific modelling issues: latent modal captivity and working with multiple repeated crossectional datasets. In this paper latent modal captivity refers to captive reliance on a specific mode rather than all feasible modes. Three household travel survey datasets collected in the Greater Toronto and Hamilton Area (GTHA) over a ten-year time period are used for empirical modelling. Datasets collected in different years are pooled and separate year-specific scale parameters and coefficients of key variables are estimated for different years. The empirical model clearly explains that there have been significant changes in latent modal captivity and the mode choice preference structures for commuting in the GTHA. Changes have occurred in the unexplained component of latent captivities, in transportation cost perceptions, and in the scales of commuting mode choice preferences. The empirical model also demonstrates that pooling multiple repeated cross-sectional datasets is an efficient way of capturing behavioural changes over time. Application of the proposed mode choice model for practical policy analysis and forecasting will ensure accurate forecasting and an enhanced understanding of policy impacts. 相似文献
237.
民航运输是云南省在进行综合交通运输建设的重点之一,也是该省在未来十四五(2021-2025年)和十五五(2026-2030年)规划期间的研究热点。本文以云南省为研究范围,以省内民航客运为研究对象,选取省内主要的社会经济因素为影响因子,运用主成分分析法(PCA)、反向传播神经网络算法(BP神经网络算法)和回归分析法,构建了省内民航客运的预测模型,得出省内各主要机场在十四五末和十五五末的预计旅客吞吐量,对省政府在进行机场改扩建上有一定的指导意义。 相似文献
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