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contributor authorYan Yu
contributor authorRichard J. Bathurst
contributor authorTony M. Allen
date accessioned2017-05-08T22:32:07Z
date available2017-05-08T22:32:07Z
date copyrightMay 2016
date issued2016
identifier other48799052.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/82184
description abstractThe paper reports numerical model details and predictions of the end-of-construction performance for two instrumented and well-documented mechanically stabilized earth (MSE) walls. The walls were constructed as part of the highway SR-18 approach fills for a bridge near Seattle, Washington. The geogrid reinforced block face walls were modeled using a commercially available two-dimensional (2D) finite-difference program. The paper provides details on how material properties were selected from laboratory testing of wall components and how the computer modeling was carried out. The paper shows that predicted wall deformations and reinforcement strains were in reasonable agreement with measured data using both linear elastic-plastic and nonlinear elastic-plastic constitutive models for the soil. The geogrid reinforcement was simulated using a nonlinear load-strain-time secant stiffness model and cable elements. The paper compares numerical predictions of reinforcement loads at end of construction with measured values and predictions using a AASHTO Simplified Method, K-stiffness Method, and Simplified Stiffness Method. The paper is a useful benchmark for modelers because it demonstrates what the authors believe are reasonable expectations of model accuracy for Class C predictions of deformations and reinforcement strains for these types of walls when high-quality project information is available.
publisherAmerican Society of Civil Engineers
titleNumerical Modeling of the SR-18 Geogrid Reinforced Modular Block Retaining Walls
typeJournal Paper
journal volume142
journal issue5
journal titleJournal of Geotechnical and Geoenvironmental Engineering
identifier doi10.1061/(ASCE)GT.1943-5606.0001438
treeJournal of Geotechnical and Geoenvironmental Engineering:;2016:;Volume ( 142 ):;issue: 005
contenttypeFulltext


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