Mostafa Sharifzadeh

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Roadways stability in longwall coal mining is critical to mine productivity and safety of the personnel. In this regard, a typical challenge in longwall mining is to predict roadways stability equipped with a reliable support system in order to ensure their serviceability during mining life. Artificial neural networks (ANNs) were employed to predict the(More)
In this study, we reproduce two new hybrid intelligent systems, involve three prominent intelligent computing and approximate reasoning methods: Self Organizing feature Map (SOM), Neuro-Fuzzy Inference System and Rough Set Theory (RST), called SONFIS and SORST. We show how our algorithms can be construed as a linkage of government-society (or any other(More)
This paper describes application of information granulation theory, on the analysis of "lugeon data". In this manner, using a combining of Self Organizing Map (SOM) and Neuro-Fuzzy Inference System (NFIS), crisp and fuzzy granules are obtained. Balancing of crisp granules and subfuzzy granules, within non fuzzy information (initial granulation), is rendered(More)
a r t i c l e i n f o A work breakdown structure (WBS) can prove to be pivotal to successful project management planning. There are few published studies about the methodologies or tools to develop the appropriate WBS for a project, and those that are available are limited to the specific areas of construction such as apartment-building construction and(More)
Complexity of fluid flow in a rough fracture is induced by the complex configurations of opening areas between the fracture planes. In this study, we model fluid flow in an evolvable real rock joint structure, which under certain normal load is sheared. In an experimental study, information regarding about apertures of the rock joint during consecutive 20(More)
Abstract: The shear strength and stick-slip behavior of a rough rock joint are analyzed using the 8 complex network approach. We develop a network approach on correlation patterns of void 9 spaces of an evolvable rough fracture (crack type II). Correlation among networks properties 10 with the hydro -mechanical attributes (obtained from experimental tests)(More)
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