From Analytical to Computational: Revisiting Subsidence Prediction with New Tools

According to an old saying "when all you have is a hammer, every problem looks like a nail". In many cases this maxim applies to our research, analytical activities and abilities to model and solve real case studies. The current speed of technological developments makes sooner or later our...

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Main Authors: Saavedra-Rosas, Jose, Jarosz, Andrew
Format: Journal Article
Published: KGHM CUPRUM Ltd. R&D Centre 2012
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/3354
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author Saavedra-Rosas, Jose
Jarosz, Andrew
author_facet Saavedra-Rosas, Jose
Jarosz, Andrew
author_sort Saavedra-Rosas, Jose
building Curtin Institutional Repository
collection Online Access
description According to an old saying "when all you have is a hammer, every problem looks like a nail". In many cases this maxim applies to our research, analytical activities and abilities to model and solve real case studies. The current speed of technological developments makes sooner or later our toolboxes, developed and built in the past, obsolete. This motivates and validates the question whether it is reasonable to revisit some old problems and assess the quality of the solutions we have available for them now. In particular, authors use an example, relating to prediction (calculation) of mine subsidence, to illustrate how this problem can be revisited and solution methods updated using new computational techniques.
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T05:57:49Z
publishDate 2012
publisher KGHM CUPRUM Ltd. R&D Centre
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spelling curtin-20.500.11937-33542017-02-28T01:29:13Z From Analytical to Computational: Revisiting Subsidence Prediction with New Tools Saavedra-Rosas, Jose Jarosz, Andrew mine subsidence influence function cellurar automata According to an old saying "when all you have is a hammer, every problem looks like a nail". In many cases this maxim applies to our research, analytical activities and abilities to model and solve real case studies. The current speed of technological developments makes sooner or later our toolboxes, developed and built in the past, obsolete. This motivates and validates the question whether it is reasonable to revisit some old problems and assess the quality of the solutions we have available for them now. In particular, authors use an example, relating to prediction (calculation) of mine subsidence, to illustrate how this problem can be revisited and solution methods updated using new computational techniques. 2012 Journal Article http://hdl.handle.net/20.500.11937/3354 KGHM CUPRUM Ltd. R&D Centre restricted
spellingShingle mine subsidence
influence function
cellurar automata
Saavedra-Rosas, Jose
Jarosz, Andrew
From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title_full From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title_fullStr From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title_full_unstemmed From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title_short From Analytical to Computational: Revisiting Subsidence Prediction with New Tools
title_sort from analytical to computational: revisiting subsidence prediction with new tools
topic mine subsidence
influence function
cellurar automata
url http://hdl.handle.net/20.500.11937/3354