mahdevari

Sakhtehesar mountain is located in Urumieh-Dokhtar magmatic belt and is composed of volcanic and subvolcanic rocks (Pliocene andesite to dacite) which intruded the volcanics and pyroclastics of Paleocene age. Three alteration zones including potassic, phyllic and propylitic are recognized in the area. In this paper, the mineral chemistry of magmatic and primary biotite and the mineral chemistry of biotite in potassic and phyllic alteration zones have been studied. Investigations show that primary and secondary biotites are different from each other and hydrothermal fluids associated with the potassic alteration are distinctively different from the fluids associated with the phyllic alteration zone in the area.

Beheshtabad 65 Km tunnel is the longest pressure tunnel in Iran. Near the inlet and outlet of the tunnel due to low level of ground water، leakage of water from the tunnel would be likely. In this article at first the tunnel route in zoned and Permeability، External water head and geotechnical parameters have been studied. Analytical Fernandez''s methods is introduced and briefly discussed and Leakage quantity and water head on the lining is determined using the method. The permeability of those Chainages that are supported by precast concrete segment، determined using Darcy low and considering segment Geometry. Then flow analysis by use of FLAC software is explained. In the last part analytical and numerical results are compared to each other and it is shown that the results are very similar. However numerical methods are preferable because they have ability to consider model details such as drainage pipes، arrangement and dip of layers as well as modeling transient seepage.

In this article First geotechnical parameters of host rock of the south part of Isfahan subway net are studied then the main goal of instrumentation is described and installed instruments are introduced and some of results are presented. Different methods of back analysis and the way of optimizing these methods and the advantages and disadvantages regarding to are described as well. In continue three dimensional modeling which is used in this study is discussed. Back analysis is implemented to determine deformation modulus, cohesion and internal friction of the host rock. Utilizing the numerical modeling and applying least square method deformation modulus, cohesion and internal friction angle of the host rock are obtained 30 degrees, 150 KPa and 1.5 GPA respectively. Utilizing the optimization procedures and applying weighted least square and minimizing the maximum error, deformation modulus, cohesion and internal friction angle of the host rock are obtained 35 degrees, 300 KPa and 1.5 GPa respectively. These results show the least sensitivity to internal friction angle and the most to deformation modulus and Cohesion. The low sensitivity to internal friction angle may be due to the low overburden.

In this article at first NTH and CSM utilization factor prediction models as topics of the empirical and the theory-empirical models are reviewed. Then with notice to structure of the data bank that is used for prediction of utilization, effective parameters on utilization are introduced. With use of two and multi variable statistical analysis some relations are presented for prediction of utilization and on results obtained from theses relations are discussed. In flow with use of Neuro Network the most suitable Network for prediction of utilization is determined and ability of this network in comparison with multi variable statistical analysis and real value of utilization factor is investigated. Prediction of utilization for Gavoshan Tunnel's TBM with Neuro Network is discussed in the latest parts of article.