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PREDICTION OF SETTLEMENT IN SLOPING CORE ROCKFILL DAMS USING SOFT-COMPUTING

Danial Behnia, Sayed Rahim Moeinossadat, Bardia Behnia, Mazda Behnia, Alaleh Safari Gorji, Parichehr Zakerian

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One of the most important causes of serious damage to embankment dams is their over limit settlement. Therefore, the prediction of dam settlement which depends on many parameters is crucial. This study aims to use intelligent methods for prediction of settlement in sloping core rockfill dams. To do so, some models were prepared with the help of two methods of adaptive neuro-fuzzy inference system (ANFIS) and gene expression programming (GEP). Two input parameters namely dam height (H) and dam compressibility index (Ci) were used. Finally, to predict settlement in sloping core rockfill dams (SS), a form was designed using C # software. With this form, the settlement can be easily predicted just by entering the desired inputs. Regarding the accuracy of the results, this method can be suggested for prediction of settlement in sloping core rockfill dams after construction.
 

ANALYSIS OF RISK MANAGEMENT IN CONSTRUCTION SECTOR USING FAULT TREE ANALYSIS

R. Venkatakrishnaiah, M. Angeline Swarna

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BEHAVIOUR OF CORROSION DAMAGED RC BEAMS WITH UDCGFRP LAMINATE

A. Leema Rose, K. Suguna, P.N. Ragunath

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This paper presents the results of an experimental study conducted to evaluate the performance of corrosion damaged reinforced concrete beams with glass fibre reinforced polymer (GFRP) laminates. A total of seven beam specimens 150 x 250x 3000 mm were cast and tested for the present investigation. One beam specimen was neither corroded nor strengthened to serve as virgin. Two beams were corroded to serve as corroded control. The reinforcement mass loss for the corroded beams was 10% and 25%, respectively. The remaining four beams were corroded and strengthened with Uni-Directional Cloth GFRP laminates. The ultimate strength and ductility of the corroded - strengthened specimens were improved by an average of 83% and 60% when compared to the control specimen.

 

 

 

 

 

 

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