Fuzzy-Based Model for Predicting Strength of Geogrid-Reinforced Subgrade Soil with Optimal Depth of Geogrid Reinforcemen
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Fuzzy-Based Model for Predicting Strength of Geogrid-Reinforced Subgrade Soil with Optimal Depth of Geogrid Reinforcement
Meenakshi Singh 1
& Ashutosh
Trivedi 1
& Sanjay
Kumar Shukla 2,3
Accepted: 2 June 2020/ # Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract A fuzzy logic (FL)–based modeling approach is employed for geogrid-reinforced subgrade soil of unpaved roads. A review of the literature reveals that fuzzy logic has not been used for predicting the behavior of geogrid-reinforced subgrade. This paper presents FL-based two models with fuzzy Triangular and Gaussian membership functions for input and output variables. It consists of eight input parameters/factors, namely, reinforced/unreinforced section, depth of reinforcement, liquid limit, plastic limit, plasticity index, optimum moisture content, maximum dry unit weight, and soaked/unsoaked condition, and California bearing ratio (CBR) as an output parameter. The fuzzy rules are deduced from the experimental data. The laboratory CBR tests were performed on the subgrade soil reinforced with geogrid. The precision of models was examined by comparing the predicted CBR values with the experimental CBR values for Triangular and Gaussian membership functions. The sensitivity analysis reflects a set of dominant parameters. The results indicated a significant improvement in the CBR value of geogrid-reinforced subgrade soil due to the inclusion of geogrid. The range for optimal depth of geogrid reinforcement is found to be 36 to 60% of the thickness of the soil layer. The potentialities of FL were found to be satisfactory. Keywords CBR value . Subgrade . Fuzzy logic . Geogrid reinforcement
* Meenakshi Singh [email protected] Ashutosh Trivedi [email protected] Sanjay Kumar Shukla [email protected] Extended author information available on the last page of the article
Transportation Infrastructure Geotechnology
1 Introduction The use of geosynthetic reinforcement is one of the well-established techniques for subgrade soil improvement and road base reinforcement for over four decades. This technique has been developed extensively to improve the performance of both paved and unpaved roads. Geogrid is a major type of geosynthetic that is commonly used in unpaved roads for soil reinforcement to achieve the technical benefits and also for speeding the construction of roads over weak subgrade soils. This improvement is attributed to a set of mechanisms: improvement in load distribution through the base course, prevention of local shearing of the soil, reduction in shear stresses on the subgrade, and tensioned membrane effect (Giroud and Han 2004). In unpaved roads, the geogrid layers are mainly used as the reinforcement for granular layer and subgrade soil although it may play the role of a separator to some extent (Shukla 2016). The California bearing ratio (CBR) of the subgrade soil is considered a key parameter in the design of flexible pavements of paved and unpaved roads. The subgrade plays a vital role in conveyin
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