construction forecasting
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2021 ◽  
Vol 9 (3) ◽  
pp. 66-70
Author(s):  
Valentina Krylova

It is considered possible construction forecasting changes quantity people of different age groups in the article. It is studied their influence on employment possible changes in Russian Federation.


2019 ◽  
Vol 97 ◽  
pp. 01020
Author(s):  
Alexander Ginzburg

Throughout the world, the intensive development of production is accompanied by a steady increase in waste generation. Ecological problems, problems of utilization and recycling of waste come to the fore. The effective functioning of the construction complex is largely determined by the effective organization of the construction and demolition waste (CDW) circulation. Considering the scale of construction, forecasting the volume of waste formation in order to effectively organize the system of economic turnover of CDW is a very relevant scientific and practical problem. Management of CDW flows in Smart cities should be based on information models containing the necessary data on the types, forms and volumes of waste. The paper presents such an information model and a mathematical method of predicting the formation of the CDW. Information modeling of the composition and volume of CDW formation allows on the basis of the developed mathematical apparatus to provide an analysis of construction development trends. It allows to carry out construction production operational and strategic planning and management in terms of the CDW formation, processing and disposal. Analysis of the construction, reconstruction and demolition CDW volume dynamics information model is the basis for further design of treatment plants future scheme.


2014 ◽  
Vol 8 (1) ◽  
pp. 514-518 ◽  
Author(s):  
Xiaobo Xiong

In the process of the highway tunnel construction, the stability and the reliability of tunnel rock is an important guarantee to ensure safety construction. Tunnel surrounding rock deformation monitoring is an important method for obtaining information on surrounding rock and controlling tunnel stability in the period of construction. Forecasting deformation of surrounding rock is the key to estimate shoring types, parameter and longtime stability after being commissioned for use. Considering the non-linear characteristic of deformation of the tunnel, the grey system prediction models were proposed. Based on the displacement of Guankouya rock tunnel, grey models of the GM(1, 1) and the Model DGM(2, 1) were established for the tunnel grey forecasting model of the rock tunnel displacement. The calculated results show that two models for tunnel displacement generally were predictable. GM(1, 1) and DGM(2, 1) models are similar to the tunnel displacement development model. Application examples demonstrate that it has extraordinary adaptability to the tunnel displacement forecast and all types of surrounding rock displacement can be predicted better by the grey model and the model has high simulation and prediction accuracy.


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