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

摘要

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.