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PREDICTION OF THE DEVELOPMENT OF LONG TERM DEFORMATIONS IN DEPOSIT BODIES

Assoc. Prof. Dr. Eng. Miroslav Georgiev Todorov, Prof. Dr. Eng. Vladimir Ivanov Kostov

Abstract

The modern life and industrialization with their great impact and large scale of influence generates a colossal amount of waste products. Not only that they have huge physical volume but they also cause many short and long term effects on the nature, human way of life and all processes on the planet. The waste products' concentration in specific zones leads to conditions which makes them uninhabitable. The construction of landfills for industrial solid waste follows the modern requirements for disposing, encapsulating and on-site environmental monitoring. Main problem with those facilities is the preservation of the integrity of isolation screens. The integrity of the installation is sensitive to the deformations of the ground base of the landfill and in many cases it is nearly impossible to observe. In such cases using monitoring methods with technical equipment is an expensive and unreliable source of information due to the locality of the investigation spots. The development of the hypothesis with analytical forecasting techniques is a necessary measure. The Geotechnical studies cover the analysis of expected settlement usually for 50 years period. In the present study a great amount of data, consisted of impressive statistical information on both physical and mechanical properties of the natural soil types of the massif and of the depot's body has been used. The data were used for quantitative analysis of long term deformations with the usage of two parallel calculation models. The first one based on the well-known TerzaghiпїЅs [5] one dimensional consolidation solution and the second one пїЅ on a two dimensional, created with Plaxis software. The comparison (of the two separate groups) of the results gives us answers and yet raises questions, which can be answered with the usage of full-scale theoretical-observational study.

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DOI resolver: doi.org/10.5593/sgem2017h/43/s18.018

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