Study on the sandstorm load of low-rise buildings via wind tunnel testing

Huang, Bin; Li, Zhengnong; Gong, Bin; Zhang, Zhitian; Pu, Ou

doi:10.1016/j.jobe.2022.105821

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…The impact of dust particles and the microorganisms they carry on human health can also be damaging to construction facilities(B. Huang et al, 2023). (Liu J. et al, 2012) collected data and found that the economic and agricultural losses caused by sandstorms were on the rise.…”

Section: Introductionmentioning

confidence: 99%

Sedimentary distribution of particles in Malan loess under wind power

Yang,

Li,

Wang

et al. 2023

Preprint

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The distribution law of dust particles under the action of wind is of great significance for the transport and settlement of loess in ancient environment and the study of modern sand and dust on environmental pollution. Based on wind tunnel test, physical model and numerical simulation, the particle transport deposition process was studied, and the following conclusions were obtained through mutual verification: (1) The particle size information in wind tunnel test shows that the smaller the particle size is. (2) Through the physical model, it is deduced that the ideal transport distance of dust particles is inversely proportional to the second square of particle diameter, which is well verified by the experimental results in this paper; (3) In the experiment, the grain size distribution curve of sedimentary particles is bimodal, which is a strong proof that the source area of particles and the transport path are the same in the loess area; The curve is a right-sided curve of normal distribution, which is the same as the grain gradation curve of undisturbed loess in northwest China. We believe that the reason for this trend is the different deposition rates of coarse and fine particles. (4) In the numerical simulation, we observed the influence of rising wind and other conditions on the distribution of sedimentary particles, which has certain reference significance for the actual dust transport process.

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Section: Introductionmentioning

confidence: 99%

Sedimentary distribution of particles in Malan loess under wind power

Yang,

Li,

Wang

et al. 2023

Preprint

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“…To study aerodynamics and design aircrafts, wind tunnels, especially the continuous transonic wind tunnel (CTWT), have become indispensable. Over the past two decades, the research and practical application of wind tunnels have received increasing attention, as they are widely applied in many fields based on aerodynamic theories [1,2] and in the design of many artifact including bridges [3], buildings [4], trains [5] and aircrafts [6][7][8]. It should be especially noted that wind tunnel experimentation has great significance for wind farm research, as it can help to model the inter-farm cluster interaction of the wind power base [9].…”

Section: Introductionmentioning

confidence: 99%

Mach Number Prediction for 0.6 m and 2.4 m Continuous Transonic Wind Tunnels

2023

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With the development of the design technology, more and more advanced and diverse wind tunnels have been constructed to match complex requirements. However, it is hard to design a precise physical model of a wind tunnel that can be controlled. In addition, if a new wind tunnel is designed, the experimental data may be insufficient to build a controlling model. This article reports research on the following two models: (1) for a 0.6 m continuous transonic wind tunnel supported by a large amount of historical data, the false nearest neighbor (FNN) algorithm was adopted to calculate the order of the input variables, and the nonlinear auto-regressive model with the exogenous inputs–backpropagation network (NARX-BP) was proposed to build its Mach number prediction model; (2) for a new 2.4 m continuous transonic wind tunnel with only a small amount of experimental data, the method of model migration, the input and output slope/bias correction–particle swarm optimization (IOSBC-PSO) algorithm, was developed to convert the old model of the 0.6 m wind tunnel into the new model of the 2.4 m wind tunnel, so that the new Mach number prediction could be conducted. Through simulation experiments, it was found that by introducing the NARX-BP algorithm to build the Mach number prediction model, the root-mean-square error (RMSE) of the model decreased by 44.93–77.90%, and the maximum deviation (MD) decreased by 64.05–85.32% compared to the BP model. The performance of the IOSBC-PSO migration model was also better than that of the non-migration model, as evidenced by the 82.06% decrease of the RMSE value and the 78.25% decrease of the MD value. The experiments showed the effectiveness of the proposed strategy.

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Design parameter optimization for protection measures targeting the bridge–subgrade transition section in a wind-blown sand region

Liu,

Wang

2023

Bull Eng Geol Environ

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Study on the sandstorm load of low-rise buildings via wind tunnel testing

Cited by 5 publications

References 26 publications

Sedimentary distribution of particles in Malan loess under wind power

Sedimentary distribution of particles in Malan loess under wind power

Mach Number Prediction for 0.6 m and 2.4 m Continuous Transonic Wind Tunnels

Design parameter optimization for protection measures targeting the bridge–subgrade transition section in a wind-blown sand region

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