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韬娈李
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1 ( A2) Proceedings of 9 th Conference on Current Researches in Geotechnical Engineering, Shihman Reservoir, Tai-Yuan, Taiwan, R.O.C. August 3-3 and September, 2 RIDO Construction Information System for Deep Excavation Hsih-Hsun Hung, S. Y. Chi, J. C. Chern Geotechnical Engineering Research Center, Sinotech Engineering Consultants, INC. ABSTRACT In this paper, the construction information system for deep excavation was developed, the lateral displacement of the retaining wall was taken into account to obtain the optimized soil parameters via back-analysis. According to the optimized soil parameters, we can predict the response of retaining system for next construction stage by RIDO program. In addition, we establish the database of the wall deflection of case histories. Through the learning and analysis processes of artificial neural network, we use the network to predict the lateral displacement of the retaining wall in the coming excavation, too. Furthermore, the stress of the retaining wall and the settlement of the ground can be predicted by theoretical calculation and empirical formula. With this prediction, the safety of the buildings adjacent to the construction site can be assessed. In the end of this paper, the case history analysis of a deep excavation site located at Taipei City was performed. From this analysis, it will prove that good agreements between the results of prediction and field measurement are obtained. Keywords: deep excavation, back-analysis, Artificial Neural Network, safety assessment. (Artificial Neural Network, ANN) [] A2-

2 A Visual Basic 6. RIDO RIDO RIDO RIDO ANN C Basic (RIDORIDO ANN) RIDO RIDO RIDO (ELASTOPLASTIC EQUILIBRIUM) ( ) RIDODOS RIDO 4 RIDO

3 (2) (Analysis) ANN 5 4 RIDO RIDO RIDO [2] RIDO 5 ANN [3] RIDO RIDO RIDO ANN [4,5] [6,7,8,9] RIDO (Back-Propagation Neural Network, BPN) 6 () (Learning) (Node) (Link) A2-3

4 RIDO RIDO ANN RIDO RIDO ANN RIDO 8 EXCEL (.xls) EXCEL EXCEL m49m 9.8m 2.m 4.3m 7m 9.8m 2m 9 N (m) (m) (t/m 3 ) C (t/m 2 ) () C (t/m 2 ) () CL SM CL SM CL M GM A2-4

5 圖 9 案例基地監測儀器配置圖第階第2階而 RIDO 土層輸入參數中水平地盤反力係數 Kh (t/m3) 於黏土採用 Kh=2Su 於砂土則採用 Kh=N [3] 詳細的參數值則如表 2 表 2 RIDO 土層輸入參數深度 γ (m) (t/m3) Ka Ko Kp σv' (t/m2) Su φ (t/m2) ( Da Db Kh (t/m3) ) 第三階開挖第階第2階第3階 Ko=-SINφ(Sand) Su/σv'=.32 (NC) δ=2/3φ Kh=N(Sand) Ko=.95-SINφ(Clay) Su=3-.3σv' (OC) Kh=2Su(Clay) 第四階開挖第階第2階第3階第4階針對開挖基地選取兩個斷面來作分析分別為 S 及 S7 如圖 9 所標示因第階開挖尚無監測資料可作反算分析所以將針對第 2~4 階的開挖來作分析斷面 S.預測壁體位移 RIDO 反算分析將前幾階壁體位移監測資料加入反算以預測下一階之開挖結果例如第二階開挖需以第一階監測資料加入反算以預測第二階壁體位移各階分析結果如下由上顯示當監測資料階數越多時則預測下一階的壁體位移值越準確 ANN 預測分析第二階開挖為預測下一階之開挖結果需將前三階壁體位移監測資料加入分析例如第二階開挖前三階監測資 A2-5

6 cm~+.5cm ANN RIDO S S7 2. SM3 SM4 SM5 SM6 SM7 SM8 SM9 SM RIDO 2 SM3 SM4 SM5 SM6 SM7 SM8 SM9 SM SM3 SM4 SM5 SM6 SM7 SM8 SM9 SM A2-6

7 S7 S ANN 2 2. R7 SM44 SM67 SM68 SM69 SM7 R2 SM R7 SM44 SM67 SM68 SM69 SM7 R2 SM R7 SM44 SM67 SM68 SM69 SM7 R2 SM A2-7

8 S7 (CEDM)(998) Form.HevPic(p) (986) 2. Nelder, J. A. and R. Mead A simplex method for function minimization. Computer Journal, Vol. 7, pp (965). 3. RIDO (999) 4. Hsieh, P. G. and C. Y. Ou, Shape of ground surface settlement profiles caused by excavation, Canadian Geotechnical Journal, Vol. 35, No. 5, pp. -4 (998). 5. Ou, C. Y., P. G. Hsieh and D. C. Chiou, Characteristic of ground surface settlement during excavation, Canadian Geotechnical Journal, Vol. 3, No. 5, pp (993). 6. Boone, S. J., Ground-movement-related building damage. Journal of Geotechnical Engineering, ASCE, Vol. 22, No., pp (996). 7. Boscardin, M. D. and E. J. Cording, Building response to excavation-induced settlement. Journal of Geotechnical Engineering, ASCE, Vol. 5, No., pp. -2 (989). 8. Burland, J. B. and C. P. Wroth, Settlement of buildings and associated damage. Conference on Settlement of structures, Cambridge, Pentech Press, pp (975). 9. A2-8

增刊谢小林, 等. 上海中心裙房深大基坑逆作开挖设计及实践 745 类型, 水位埋深一般为地表下.0~.7 m 场地地表以下 27 m 处分布 7 层砂性土, 为第一承压含水层 ; 9 层砂性土

增刊谢小林, 等. 上海中心裙房深大基坑逆作开挖设计及实践 745 类型, 水位埋深一般为地表下.0~.7 m 场地地表以下 27 m 处分布 7 层砂性土, 为第一承压含水层 ; 9 层砂性土第 34 卷增刊岩土工程学报 Vol.34 Supp. 202 年. 月 Chinese Journal of Geotechnical Engineering Nov. 202 上海中心裙房深大基坑逆作开挖设计及实践谢小林 2 2, 翟杰群, 张羽, 杨科, 郭晓航, 贾坚 (. 同济大学建筑设计研究院 (

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穨A020P.PDF