Data-driven generator of stochastic dynamic loading due to people bouncing

Data-driven generator of stochastic dynamic loading due to people bouncing
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由于人弹跳而产生随机动态载荷的数据驱动生成器

DOI:
10.1016/j.compstruc.2015.04.013
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发表时间:
2015-10
影响因子:
4.7
通讯作者:
Chen Jun
Chen Jun
中科院分区:
工程技术2区
文献类型:
--
作者:
Racic Vitomir;Chen Jun

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与弹跳负载相关的最新设计指南将弹跳描述为可通过傅里叶级数表示的确定性和周期性过程。然而,将傅里叶谐波拟合到本研究中建立的个人弹跳力记录的综合数据库表明,对现实的这种彻底简化会导致关键信息的显着丢失。因此,这项研究将傅立叶模型提升到了一个更高的水平,其中拟合的谐波是个性化的、随机的,并考虑了自然变异性,从而产生了近周期性弹跳力时间历史的随机生成器,可以可靠地模拟实际测量。
The latest design guideline relevant to bouncing loads describes bouncing as deterministic and periodic process presentable via Fourier series. However, fitting the Fourier harmonics to a comprehensive database of individual bouncing force records established in this study showed that such a radical simplification of the reality leads to a significant loss of key information. Hence, this study brings the Fourier model to a higher level, where the fitted harmonics are personalised, randomised and the natural variability taken into account, leading to a stochastic generator of near-periodic bouncing force time histories which can simulate reliably the actual measurements.
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