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Resilient Modulus Prediction of Laterite Soils Under Variable Moisture Levels Using Fuzzy Logic Model
https://orcid.org/http://orcid.org/0000-0002-9188-8409
The current practices of pavement design consider climate change as an important factor that induces unexpected pavement behavior. The responses of pavement are highly influenced by moisture fluctuations. A comprehensive study was conducted based on re-analysis of reported information to bring out a worldwide perspective of the resilient behavior of laterite soils when exposed to varying seasonal moisture conditions. Laterite soils demand detailed analysis prior to design as they are prone to physico-chemical changes under moisture variations. Resilient modulus (MR) data at varied stress and moisture conditions of nine distinct laterite soils were collected from literature. Using this data, an environmental adjustment factor (FU) to account for the moisture changes was modeled for laterite soils. Also, the stress-based constitutive MR model that could accurately predict the non-linear stress-strain relationship of each of the laterite soils was statistically determined. MR at any other moisture condition was determined by multiplying the FU value calculated at the required moisture content with the MR at optimum moisture conditions, determined from the best fit constitutive model. Finally, Fuzzy Logic System (FLS) tool was used to predict MR based on the moisture conditions, stress state, and soil characteristics. Fuzzy-based model that can map the uncertainty in laterite soil behavior and reproduce MR based on the soil properties was developed. It was concluded that the fuzzy logic could produce reliable MR model for laterite soils.
Resilient Modulus Prediction of Laterite Soils Under Variable Moisture Levels Using Fuzzy Logic Model
https://orcid.org/http://orcid.org/0000-0002-9188-8409
The current practices of pavement design consider climate change as an important factor that induces unexpected pavement behavior. The responses of pavement are highly influenced by moisture fluctuations. A comprehensive study was conducted based on re-analysis of reported information to bring out a worldwide perspective of the resilient behavior of laterite soils when exposed to varying seasonal moisture conditions. Laterite soils demand detailed analysis prior to design as they are prone to physico-chemical changes under moisture variations. Resilient modulus (MR) data at varied stress and moisture conditions of nine distinct laterite soils were collected from literature. Using this data, an environmental adjustment factor (FU) to account for the moisture changes was modeled for laterite soils. Also, the stress-based constitutive MR model that could accurately predict the non-linear stress-strain relationship of each of the laterite soils was statistically determined. MR at any other moisture condition was determined by multiplying the FU value calculated at the required moisture content with the MR at optimum moisture conditions, determined from the best fit constitutive model. Finally, Fuzzy Logic System (FLS) tool was used to predict MR based on the moisture conditions, stress state, and soil characteristics. Fuzzy-based model that can map the uncertainty in laterite soil behavior and reproduce MR based on the soil properties was developed. It was concluded that the fuzzy logic could produce reliable MR model for laterite soils.
Resilient Modulus Prediction of Laterite Soils Under Variable Moisture Levels Using Fuzzy Logic Model
https://orcid.org/http://orcid.org/0000-0002-9188-8409
The current practices of pavement design consider climate change as an important factor that induces unexpected pavement behavior. The responses of pavement are highly influenced by moisture fluctuations. A comprehensive study was conducted based on re-analysis of reported information to bring out a worldwide perspective of the resilient behavior of laterite soils when exposed to varying seasonal moisture conditions. Laterite soils demand detailed analysis prior to design as they are prone to physico-chemical changes under moisture variations. Resilient modulus (MR) data at varied stress and moisture conditions of nine distinct laterite soils were collected from literature. Using this data, an environmental adjustment factor (FU) to account for the moisture changes was modeled for laterite soils. Also, the stress-based constitutive MR model that could accurately predict the non-linear stress-strain relationship of each of the laterite soils was statistically determined. MR at any other moisture condition was determined by multiplying the FU value calculated at the required moisture content with the MR at optimum moisture conditions, determined from the best fit constitutive model. Finally, Fuzzy Logic System (FLS) tool was used to predict MR based on the moisture conditions, stress state, and soil characteristics. Fuzzy-based model that can map the uncertainty in laterite soil behavior and reproduce MR based on the soil properties was developed. It was concluded that the fuzzy logic could produce reliable MR model for laterite soils.
Resilient Modulus Prediction of Laterite Soils Under Variable Moisture Levels Using Fuzzy Logic Model
Transp. Infrastruct. Geotech.
Koshy, Soorya Ann (author) / Praveen, A. (author) / Ajitha, T. (author)
Transportation Infrastructure Geotechnology ; 9 ; 583-605
2022-10-01
23 pages
Article (Journal)
Electronic Resource
English
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