کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
4921637 | 505178 | 2016 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Evaluating reinforcement loading within surcharged segmental block reinforced soil walls using a limit state framework
ترجمه فارسی عنوان
ارزیابی بارگیری تقویت شده در دیواره های خاکستری تقویت شده با دیوار سیلندر با استفاده از یک چارچوب دولتی محدود
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
مهندسی ژئوتکنیک و زمین شناسی مهندسی
چکیده انگلیسی
Internal design of Mechanically Stabilized Earth (MSE) Walls are frequently based on lateral earth pressure methods. A key component of limit state design includes determination of the necessary resisting forces of reinforcements to enable stability and function of the internal reinforcing components. However, conventional methods (e.g. Rankine) are not directly applicable when accounting for surcharge loading that is non-uniform, often manifested by the presence of strip footings placed directly on the reinforced soil. Within this study, an approach is presented to determine the reactive loads in individual reinforcements, Tmax, using limit analysis (LA) considering a log-spiral mechanism and the effects of facing elements for segmental block reinforced soil walls. Lateral earth pressures attained from this approach are consistent with simplified analyses presented in the literature, realizing reinforcement loads that are more reasonable when compared with observed reinforcement loading than conventional limit equilibrium-based methods. To demonstrate the effects of various design parameters, the relationship between soil strength properties, interface friction between the soil, facing and toe, wall height, wall batter and reinforcement loads were studied.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geotextiles and Geomembranes - Volume 44, Issue 6, December 2016, Pages 832-844
Journal: Geotextiles and Geomembranes - Volume 44, Issue 6, December 2016, Pages 832-844
نویسندگان
Yonggui Xie, Ben Leshchinsky, Shangchuan Yang,