2003
DOI: 10.1139/t03-051
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A new working stress method for prediction of reinforcement loads in geosynthetic walls

Abstract: Proper estimation of soil reinforcement loads and strains is key to accurate internal stability design of reinforced soil structures. Current design methodologies use limit equilibrium concepts to estimate reinforcement loads for internal stability design of geosynthetic and steel reinforced soil walls. For geosynthetic walls, however, it appears that these methods are excessively conservative based on the performance of geosynthetic walls to date. This paper presents a new method, called the K-stiffness metho… Show more

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Cited by 139 publications
(61 citation statements)
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“…The improved accuracy of the K-stiŠness method was demonstrated by Allen et al (2003) by showing that for the same 11 wall case histories, the average ratio (bias) of the measured to predicted maximum load in a reinforcement layer was 0.99 and the coe‹cient of variation (COV) was reduced to 36z.…”
Section: Introductionmentioning
confidence: 99%
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“…The improved accuracy of the K-stiŠness method was demonstrated by Allen et al (2003) by showing that for the same 11 wall case histories, the average ratio (bias) of the measured to predicted maximum load in a reinforcement layer was 0.99 and the coe‹cient of variation (COV) was reduced to 36z.…”
Section: Introductionmentioning
confidence: 99%
“…They demonstrated that the current AASHTO Simpliˆed Method (AASHTO, 2002) used in North America is excessively conservative for internal stability design of geosynthetic reinforced soil walls constructed with granular backˆll. For example, based on 11 walls, the average ratio (bias) of the measured to predicted maximum reinforcement load in a wall was 0.45 and the coe‹cient of variation (COV) was 91z (Allen et al, 2003;Bathurst et al, 2005). This means that, on average, reinforcement loads were over-predicted by a factor of two and the spread in bias values with respect to the mean bias value was also about a factor of two at ±1 standard deviation.…”
Section: Introductionmentioning
confidence: 99%
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