Articles published in the issue 11, 2017

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01.11.2017 12:07

 

STRENGTHENING SLOPES ROADBED ADDITIONAL RAIL ROUTES

 

Keywords: roadbed, earthy leaf deformation of slopes, multiple-track lines, increased.

Zhdanova Svetlana — D.Sci., Professor of the Department of «Construction», Far Eastern State Transportation University. E-mail: mirzahanovna@mail.ru

Tukmakova Oxana — graduate student of the Far Eastern State Transportation University. E-mail: gordienko1989@mail.ru

Abstract. In this article the problem of deformation of slope protection roadbed additional rail routes. A new design for the stabilization and strengthening of the trapeze array roadbed of additional ways.

 

 

A FEASIBILITY STUDY FOR THE CONSTRUCTION OF TUNNEL CROSSING

 

Keywords: mountain pass, excavation, tunnel, double heading, calculation, railway.

Antontsev Vitaliy — Chief Specialist of the Department of capital construction, JSC «RZD». E-mail: vitaly_ant@mail.ru

Abstract. Under modern conditions of rail freight and operating costs optimization of railway infrastructure, the need for the reconstruction of double heading areas through mountain passes and the need for the choice of efficient method of high-mountain pass crossing arises. This article goes into the questions of definition and method development of feasibility study for the construction of tunnel crossing through a mountain pass area in comparison with making a deep excavation when choosing a railway route.

 

 

FORECASTING OF HYDROMETRIC PARAMETERS IN THE CONSTRUCTION OF BRIDGE CROSSINGS

 

 

Keywords: river hydrometric parameters, forecast, calculation methods, comparative analysis water consumption.

Grishina Larissa — Ph.D., associate Professor of the Department of «Track and track facilities», Russian University of Transport (MIIT).  E-mail: petrolar88@yandex.ru

Annotation. The article presents the results of forecasting the hydrometric parameters of the rivers, which can be used in designing the bridge holes and bridge crossings. Calculations and comparisons were made with the existing prediction methods, and a new asymptotic approximation method, which showed good convergence with the predicted data.