ANN modeling of wind pressure spectra on hemispherical dome roofs
學年 108
學期 1
出版（發表）日期 2019-12-01
作品名稱 ANN modeling of wind pressure spectra on hemispherical dome roofs
作品名稱（其他語言） 半圓頂型屋蓋結構風壓頻譜之類神經網路模擬
著者 Jenmu Wang; Bo-Yi Liu; Yuan-Lung Lo
單位
出版者
著錄名稱、卷期、頁數 Journal of the Chinese Institute of Civil and Hydraulic Engineering 31(8), p.739-746
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.
關鍵字 RBFNN;structural wind engineering;wind pressure spectrum;large span structure
語言 zh_TW
ISSN 1015-5856
期刊性質 國內
收錄於 EI
產學合作
通訊作者
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,電子版
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/118203 )