期刊論文
| 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 ) |