Fuzzy-Based Model for Predicting Strength of Geogrid-Reinforced Subgrade Soil with Optimal Depth of Geogrid Reinforcement

Singh, Meenakshi; Trivedi, Ashutosh; Shukla, Sanjay Kumar

doi:10.1007/s40515-020-00113-y

Cited by 11 publications

(3 citation statements)

References 29 publications

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“…Palmeira and Antunes [2] demonstrated that geosynthetic reinforcement reduces the cost of maintenance of unpaved road thus lowering the overall cost of road construction. Since the exploitation of natural/traditional construction materials is 1084 (2022) 012025 IOP Publishing doi:10.1088/1755-1315/1084/1/012025 2 restrained by environmental regulations, alternatively using geogrid as reinforcement is a sustainable approach in road construction and other civil engineering projects [2,3].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on Strength Behaviour of Geogrid Reinforced Subgrade Soil

Pisini

Thammadi²,

Nadan³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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This paper presents the summary of experimental program to evaluate the potential of KOBM (Klockner Oxygen Blown Maxhutte) slag to stabilize the geogrid-reinforced subgrade soil in Suva, Fiji. This KOBM slag is a by-product of steel manufacturing process in New Zealand. The standard California bearing ratio (CBR) laboratory tests were performed on the soil samples with various combinations of geogrid and KOBM slag, along with other geotechnical tests to determine the strength behaviour of subgrade soil. The laboratory experiments were undertaken to investigate the impact of using KOBM slag (0%, 5%, 10%, 15%, 20%) with single and double layers of geogrid reinforcement placed at H/2 and H/4 (where H is height of CBR mould) in the soil sample. The effect of geogrid reinforcement with respect to the position and number of layers with varying contents of KOBM on the strength behaviour of subgrade soil has been examined. Results of the current study indicate that there is a significant increase in CBR values for subgrade soil stabilized with KOBM and reinforced with geogrid. Maximum CBR value was observed in the soil sample reinforced with single geogrid layer placed at H/2 with 20% KOBM slag. This is the best outcome amongst all the combinations of KOBM, position/no. of layers of geogrid reinforcement in the current experimental study consisting of 50 experiments.

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Section: Introductionmentioning

confidence: 99%

Experimental Study on Strength Behaviour of Geogrid Reinforced Subgrade Soil

Pisini

Thammadi²,

Nadan³

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

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“…However, the review of the current literature revealed that the efforts to predict the CBR of geosynthetic-reinforced subgrade soil are extremely limited. In fact, Singh et al (2020) is the only study that has attempted to predict the CBR of geogridreinforced soil using a fuzzy logic-based modelling technqiue. However, to the best of authors' knowledge, there is currently no research in the present literature that provides development, implementation and comprehensive comparison of ML-based solutions to the problem of CBR of geosyntheticreinforced subgrade soil.…”

Section: Introductionmentioning

confidence: 99%

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

Raja

Shukla

Khan

2021

International Journal of Pavement Engineering

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In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become popular for constructing safe and sustainable pavement structures. The strength of the subgrade soil is routinely assessed in terms of its California bearing ratio (CBR). However, in the past, no effort was made to develop a method for evaluating the CBR of the reinforced subgrade soil. The main aim of this paper is to explore and appraise the competency of the several intelligent models such as artificial neural network (ANN), least median of squares regression, Gaussian processes regression, elastic net regularisation regression, lazy K-star, M-5 model trees, alternating model trees and random forest in estimating the CBR of reinforced soil. For this, all the models were calibrated and validated using the reliable pertinent historical data. The prognostic veracity of all the tools mentioned supra were assessed using the well-established traditional statistical indices, external model evaluation technique, multi-criteria assessment approach and independent experimental dataset. Due to the overall excellent performance of ANN, the model was converted into a trackable functional relationship to estimate the CBR of reinforced soil. Finally, the sensitivity analysis was performed to find the strength and relationship of the used parameters on the CBR value.

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“…Two oxidative induction time (OIT) methods, a standard (Std) OIT test and a high pressure (HP) OIT test, were used to evaluate the interaction of CB with two types of antioxidants during the oven aging [4]. A fuzzy logic-(FL-) based modeling approach is employed for geogrid-reinforced subgrade soil of unpaved roads [16].…”

Section: Introductionmentioning

confidence: 99%

Experimental Study on the Influence of Aging on Mechanical Properties of Geogrids and Bearing Capacity of Reinforced Sand Cushion

Yuan

Zhao

et al. 2020

Advances in Civil Engineering

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Geogrids are widely used in foundation engineering for reinforcing foundations due to their light weight, high strength, and excellent performance. In this study, two kinds of polypropylene biaxial geogrids were used, and indoor thermal oxygen and photooxygen aging tests were carried out. The residual mechanical stability of the exposed materials was determined by tensile testing. The results of both accelerated test methods are discussed and compared in detail. After aging of the geogrid, the trend of tensile strength and fracture elongation change with aging time is obtained. The gray prediction model was used to predict the variation in the retention rate of tensile strength in the geogrid with photooxygen aging time. Model tests of cushions were carried out in a large geogroove to compare the load bearing characteristics of pure sand and the unaged and aged geogrid-reinforced sand cushions. The results show that ultraviolet radiation illuminance plays a decisive role in the aging degree of the polypropylene geogrid. The influence of photooxygen aging on the tensile strength and fracture elongation of a polypropylene biaxial geogrid is greater than that of thermal oxygen aging. Different types of polypropylene biaxial geogrids with photooxygen aging showed different retention rates of tensile strength, and the aging resistance of the geogrid with higher tensile strength was significantly higher than that of the geogrid with lower tensile strength. The tensile strength of the geogrid has an effect on the bearing capacity of reinforced sand cushions. Under proper elongation, the bearing capacity of the reinforced sand cushion is clearly improved compared with that of the unreinforced cushion. The aging behavior of the two geogrids reduces the load bearing capacity of the reinforced cushion by influencing the property of the interface between the geogrid and sand.

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Fuzzy-Based Model for Predicting Strength of Geogrid-Reinforced Subgrade Soil with Optimal Depth of Geogrid Reinforcement

Cited by 11 publications

References 29 publications

Experimental Study on Strength Behaviour of Geogrid Reinforced Subgrade Soil

Experimental Study on Strength Behaviour of Geogrid Reinforced Subgrade Soil

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

Experimental Study on the Influence of Aging on Mechanical Properties of Geogrids and Bearing Capacity of Reinforced Sand Cushion

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