Evaluating the Performance of Rehabilitated Roadway Base with Geogrid Reinforcement in the Presence of Soil-Geogrid-Interaction
Publish Year: 1396
نوع سند: مقاله ژورنالی
زبان: English
View: 45
This Paper With 14 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_CIVLJ-5-1_003
تاریخ نمایه سازی: 23 شهریور 1403
Abstract:
One of the efficient techniques to improve the behavior of the paved road under traffic loads is implementing the geosynthetic material in the sub-base or the soil under the road. In the past years, many researches have been done about this topic, but the study on the effect of soil/load conditions on the performance of the rehabilitated paved road by geogrid in order to investigate the effective parameters on it is still open. In this paper a series of ۲D FEM models using the software PLAXIS-۲D are carried out to evaluate the effects of soil/load conditions which includes the effect of the subgrade material and load properties (such as modulus of elasticity, Poisson's ratio, drainage conditions, shear strength and the area of load), in the presence of soil-geogrid-interaction. The results showed that the use of a geogrid reinforcement layer decreases the vertical settlement in a soft subgrade surface, and this indicates that the main mechanism of the geogrid is to restrain soils from lateral displacement through interlocking with the particles. In addition, it is concluded that increasing the Poisson's ratio of the subgrade leads to reducing the vertical settlement and increasing the value of modulus elasticity leads to decrease of the vertical displacement, it is also shown that with increasing un-drained shear strength, vertical deflection has also decreased.
Keywords:
Authors
Mohammad Iman Khodakarami
Faculty of Civil Engineering, Semnan University, Semnan, Iran
Hamed Khakpour Moghaddam
Faculty of Civil Engineering, Semnan University, Semnan, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :