2014
DOI: 10.1016/j.egypro.2014.03.167
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Numerical Simulation of Wind Loads and Wind Induced Dynamic Response of Heliostats

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Cited by 20 publications
(15 citation statements)
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“…A mixture simulation (MS) method is proposed to generate the fluctuating wind speed as the boundary conditions in CFD predictions, combining with the weighted amplitude wave superposition (WAWS) method [15] and autoregression (AR) methods [16,17]. The new approach overcomes the defects of the abovementioned traditional methods and inherits their own advantages which guarantee the computing accuracy and efficiency simultaneously.…”
Section: The Methods For Simulating Fluctuating Windmentioning
confidence: 99%
See 2 more Smart Citations
“…A mixture simulation (MS) method is proposed to generate the fluctuating wind speed as the boundary conditions in CFD predictions, combining with the weighted amplitude wave superposition (WAWS) method [15] and autoregression (AR) methods [16,17]. The new approach overcomes the defects of the abovementioned traditional methods and inherits their own advantages which guarantee the computing accuracy and efficiency simultaneously.…”
Section: The Methods For Simulating Fluctuating Windmentioning
confidence: 99%
“…Then, the energy distributions of the PSD function of the fluctuating wind are explored by the wavelet method [32] adopting the Hanning windows [33]. Therefore, the main thoughts of the MS method are listed as follows: the parts of the energy concentration are simulated by the WAWS method [15] and the parts of the energy dispersion are generated by the AR method [16]. The final simulating results of the fluctuating wind are obtained by the superposition of the simulating results by the two methods.…”
Section: The Methods For Simulating Fluctuating Windmentioning
confidence: 99%
See 1 more Smart Citation
“…Zang et al [13] estimate the dynamic response of a heliostat to wind loads by correlating deformations measured by accelerometers and strain gauges with wind data. Subsequently the frequency response of the deformations is compared with a numerical simulation showing a good match between both methods.…”
Section: Introductionmentioning
confidence: 99%
“…Secondly, provided that random wind and waves are a stationary Gaussian process, the combined wind and waves can be described by the power spectral density function (PSDF) [14]. Therefore, many numerical simulation methods are used to simulate the time series of the fluctuating wind and wave loads, such as the two classical approaches, the weighted amplitude wave superposition (WAWS) method [15] and auto-regression (AR) method [16,17]. Integrating the respective advantages of WAWS and AR methods, a mixture simulation (MS) method is applied to the present study with the aid of the wavelet method, whose efficiency and accuracy has been validated in our previous work [13,14].…”
Section: Introductionmentioning
confidence: 99%