Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures
Mining activities, particularly at shallow depths, create heavy environmental impact that causes irreversible changes in the environment’s properties, structure and so on. Such unnatural interference frequently makes the environment unusable to an extent in future. It is known that exhaustion of str...
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Series: | MATEC Web of Conferences |
Online Access: | https://doi.org/10.1051/matecconf/201711700170 |
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doaj-8403c989fd044108a355f86be8b78d4c2021-02-02T04:19:57ZengEDP SciencesMATEC Web of Conferences2261-236X2017-01-011170017010.1051/matecconf/201711700170matecconf_rsp2017_00170Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering StructuresTrofimov Vitaliy A.0Makeeva Tamara G.1Research Institute of Comprehensive Exploitation of Mineral Resources, Russian Academy of SciencesMoscow state university of civil engineeringMining activities, particularly at shallow depths, create heavy environmental impact that causes irreversible changes in the environment’s properties, structure and so on. Such unnatural interference frequently makes the environment unusable to an extent in future. It is known that exhaustion of stratified deposits causes notable subsidence of earth surface that may destroy structures, and interrupt the mode of water flows both on surface and underground. To describe the parameters of earth surface subsidence trough under the impact of underground mining of stratified deposits, this paper uses a three-parameter function expressed with the Gauss probability integral. We also propose a numerical algorithm to find the function’s parameters based on the values of vertical shift of reference points, measured in situ with benchmark stations. The algorithm is based on the least-squares method, while the minimum value of the respective functionality discrepancies are found with random search. Analysis of the specifics of the function proper helped to propose an approximated method to find its parameters. The paper compares approximating curves produced by both methods, with field measurements.https://doi.org/10.1051/matecconf/201711700170 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Trofimov Vitaliy A. Makeeva Tamara G. |
spellingShingle |
Trofimov Vitaliy A. Makeeva Tamara G. Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures MATEC Web of Conferences |
author_facet |
Trofimov Vitaliy A. Makeeva Tamara G. |
author_sort |
Trofimov Vitaliy A. |
title |
Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures |
title_short |
Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures |
title_full |
Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures |
title_fullStr |
Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures |
title_full_unstemmed |
Forecasting Parameters of Earth Surface Subsidence to Assess Safe Operation of Engineering Structures |
title_sort |
forecasting parameters of earth surface subsidence to assess safe operation of engineering structures |
publisher |
EDP Sciences |
series |
MATEC Web of Conferences |
issn |
2261-236X |
publishDate |
2017-01-01 |
description |
Mining activities, particularly at shallow depths, create heavy environmental impact that causes irreversible changes in the environment’s properties, structure and so on. Such unnatural interference frequently makes the environment unusable to an extent in future. It is known that exhaustion of stratified deposits causes notable subsidence of earth surface that may destroy structures, and interrupt the mode of water flows both on surface and underground. To describe the parameters of earth surface subsidence trough under the impact of underground mining of stratified deposits, this paper uses a three-parameter function expressed with the Gauss probability integral. We also propose a numerical algorithm to find the function’s parameters based on the values of vertical shift of reference points, measured in situ with benchmark stations. The algorithm is based on the least-squares method, while the minimum value of the respective functionality discrepancies are found with random search. Analysis of the specifics of the function proper helped to propose an approximated method to find its parameters. The paper compares approximating curves produced by both methods, with field measurements. |
url |
https://doi.org/10.1051/matecconf/201711700170 |
work_keys_str_mv |
AT trofimovvitaliya forecastingparametersofearthsurfacesubsidencetoassesssafeoperationofengineeringstructures AT makeevatamarag forecastingparametersofearthsurfacesubsidencetoassesssafeoperationofengineeringstructures |
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