Yol duvarı stabilizasyonu için farklı yöntemlerin sayısal simülasyonu

After the increase in urban development and the expansion of the road network, having sufficient knowledge and information about the various methods of improving the current surface soils for use in various construction projects is an essential issue for a Civil Engineer. The technology for soil improvement is one of the most trustable and practical ways. It is economically viable to increase the resistance of soil, soil strength, soil permeability as well as to limit water absorption, control soil erosion, losing water, and soil settlement, Solid waste materials such as construction waste are used for this intended purpose with or without lime or cement. Disposal of these waste materials is essential as these are causing hazardous effects on the environment. Literature review was undertaken on utilization of recycling concrete aggregate RCA and geogrid materials for the stabilization of soils and same is presented here. The purpose of this study is to determine total displacement value as well as the vertical displacement and the lateral displacement to numerically investigate the performance of geogrid and recycled concrete aggregate (RCA ) in stabilizing road embankments. The stability analysis has been done by finite element method using PLAXIS2D V21 , in this study, five types of sequence modeling were performed. First, the road embankment is stabilized without any reinforcement The results were analyzed in the program, The modeling was for the other four models to investigate the stability of the reinforced embankments model by using geogrid, (RCA) recycling concrete aggregate change their position in the soil and analyzing the results to reach the highest compressive resistance and the best properties of the soil. The result of this study from the lateral and vertical displacement graphs, the Recycled concrete aggregated, and geogrid models showed lower displacement than other models. The model with geogrid in the center and only Embankment showed the worst behavior. The effect of using the geogrid does not depict much change.