Study on vibration comfort ability of wooden structure floor based on optimized annoyance rate model
Wood is widely used in such fields as building structures and light pedestrian bridges due to its excellent proper-ties.Compared to other building materials,wooden structure floors are more susceptible to excessive vibration and comfort is-sues caused by pedestrian loads.To better solve the problem of pedestrian-induced vibration comfort of wooden structure floors,a quantitative evaluation method for vibration comfort of wooden structure floors based on the optimization model of annoyance rate is proposed.Firstly,we constructed a one-dimensional convolutional neural network to accurately predict the peak acceleration of wooden structurefloors.Secondly,based on the use of power series polynomials to improve the member-ship function,an optimization model for annoyance rate was proposed and used for quantitative evaluation of comfort,thereby compensating for the shortcomings of traditional methods for evaluating the comfort of wooden structures.
wooden structure floorcomfortabilitypedestrian-induced vibrationconvolutional neural networkannoyance rate model
国家科技期刊平台
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