ANN modeling of wind pressure spectra on hemispherical dome roofs

淡江大學機構典藏 > 工學院 > 土木工程學系暨研究所 > 期刊論文 > Item 987654321/118203

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题名:	ANN modeling of wind pressure spectra on hemispherical dome roofs
其它题名:	半圓頂型屋蓋結構風壓頻譜之類神經網路模擬
作者:	Jenmu Wang;Bo-Yi Liu;Yuan-Lung Lo
关键词:	RBFNN;structural wind engineering;wind pressure spectrum;large span structure
日期:	2019-12
上传时间:	2020-03-07 12:11:17 (UTC+8)
摘要:	Wind resistant design of buildings often needs to acquire wind spectra from wind tunnel tests. Using regression formulas to process and analyze experimental data of wind spectra usually is not very accurate. Therefore, one of the most important issue is how to use experimental wind load aerodynamic database more effectively. A wind pressure database for hemispherical dome roofs was collected. The emphases of the research were on the study of wind pressure spectra on the meridian with the change of curvature and height as well as the establishment of an Artificial Neural Network (ANN) prediction model. Random center selection method was used to write Radial Basis Function Neural Network (RBFNN) programs to train, validate and test the ANNs. The estimation models found not only accurate but also theoretically consistent. ANN Models were also compared with previous regression formula showing better accuracy and applicability.
關聯:	Journal of the Chinese Institute of Civil and Hydraulic Engineering 31(8), p.739-746
DOI:	10.6652/JoCICHE.201912_31(8).0007
显示于类别:	[土木工程學系暨研究所] 期刊論文

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