Authors : Sina Mokhtar, Mostafa Yousefi Rad and Sayyed Hamid Lajevardi
Abstract: Identifying the effective factors in evaluating the stability of stone walls is one of the main problems in geology however there are many different methods to interpret the stability of stone gables quantitatively. Despite the simple modeling process, conventional methods are not able to estimate the error or accuracy of resulting model, so they are used for continuous variables. But probabilistic methods can quantify and estimate the possibility of accuracy of the model, also examine the value of each piece of information in increasing the accuracy of the model. Markov chain can be used as a powerful way to analyze the stone walls based on conditional probabilities and providing the states transition matrix. Since this method is better utilized for discrete variables in lithology, the aim of this study is to provide more accurate results and simpler geological interpretation. In the study, it is investigated 11 intrinsic and geometric parameters influencing on the walls of Roodbar dam located in a distance of about 100 km from Southern Aligudarz, Lorestan Province, Iran. The factors were identified by using the available data and their analysis and complementation by field records. Then, the effect of each resistance parameters on the stability was examined by MATLAB7.1 Software in order to analyze the artificial Markov chains. The results indicate that the slopes of the area in a dry state are stable at 17 modes and unstable at 3 modes and in a saturated state are stable at 14 modes and unstable at 6 modes and have generally a little stability. The study indicates that the network has the ability to predict the degree of stability of rock slopes.
Sina Mokhtar, Mostafa Yousefi Rad and Sayyed Hamid Lajevardi, 2017. The Stability Analysis of Rok Walls by Artificial Markov Chains in the Roodbar in Lorestan, Iran. Journal of Engineering and Applied Sciences, 12: 2361-2366.