Modeling of UCS value of stabilized pond ashes using adaptive neuro-fuzzy inference system and artificial neural network
- PDF / 3,280,946 Bytes
- 15 Pages / 595.276 x 790.866 pts Page_size
- 22 Downloads / 179 Views
(0123456789().,-volV)(0123456789().,-volV)
METHODOLOGIES AND APPLICATION
Modeling of UCS value of stabilized pond ashes using adaptive neurofuzzy inference system and artificial neural network Manju Suthar1
Springer-Verlag GmbH Germany, part of Springer Nature 2020
Abstract This paper investigates the capability of adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN) modeling approach to predict the unconfined compressive strength (UCS) of stabilized pond ashes with lime alone and in combination with lime sludge. Out of 170 data set, a total of 119 data were randomly selected for training, whereas remaining 51 were used for testing the model. Four membership’s functions (MFs) such as Gaussian, generalized bellshaped, triangular, and trapezoidal were used with ANFIS model. Statistical parameters were used to compare the performance of four MF-based ANFIS and ANN models. A comparison of results suggests that Triangular MF-based ANFIS model exhibit better predictive performance with higher CC = 0.980 and lower MSE = 3028.515 and RMSE = 55.032 than other MF-based ANFIS and ANN model. The results of single-factor analysis of variance indicate that there is an insignificant difference between measured and predicted values of UCS using different models. Further, results of sensitivity analysis depict that the curing period, lime sludge, and lime are the most important parameters which affect the performance of Triangular MF-based ANFIS in predicting the UCS of stabilized pond ashes. Thus, the Triangular MFbased ANFIS model could be a useful tool in predicting the UCS value of stabilized pond ashes because of its adequacy in handling uncertainties in the test results with accuracy. Keywords Unconfined compressive strength Adaptive neuro-fuzzy inference system Artificial neural network
1 Introduction Unconfined compressive strength (UCS) is one of the important design parameter in highway engineering such as embankments, base, and subbase of roads. UCS test is only applicable to coherent materials such as saturated clay or cemented soil-like material or fly/pond ash (Bera et al. 2009). Class-F fly/pond ash in raw form does not have any UCS both in dry and saturated condition, due to absence of cohesion property (Suthar and Aggarwal 2016). Strength of pond ash improved by stabilization technique, and it makes the material suitable for desired purpose. A number of studies on UCS of fly/pond ash stabilized with lime, cement, gypsum, lime sludge, and fibers are documented
Communicated by V. Loia. & Manju Suthar [email protected] 1
Department of Civil Engineering, Maharaja Agrasen University, Baddi, Himachal Pradesh 174103, India
by many researchers (Ghosh and Subbarao 2007; Chauhan et al. 2008; Sivapullaiah and Moghal 2010; Guleria and Dutta 2011; Suthar and Aggarwal 2018). Preparation of high-quality sample is difficult and time-consuming process for laboratory tests. Stabilized pond ash material never provides certain UCS value, because the strength developed by stabilization techniqu
Data Loading...
