FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386523746> ?p ?o ?g. }

• W4386523746 abstract "ABSTRACT Pillars are critical to the stability and profitability of mining operations and their proper design is essential in ensuring that these objectives are met. A number of tools are available in designing pillars and numerical modelling is one of those tools. It is important to note that numerical modelling is not design in its self as wrongly assumed by many, but a tool that is used to aid the design process. This paper evaluates numerical modelling application in the design of regional pillars for an ore-replacement project, underground platinum mining case study, using three different numerical modelling programs. The three numerical modelling programs used in the design process were Examine 2D, Map3D and Lamodel. These programs were used to determine the average pillar stress on the designed pillars and the values obtained were then used to determine the most feasible pillar design. The results obtained were then validated by comparing them with a design based on an empirical method (Stacey and Page pillar strength equation) and underground observations. The advantages of numerical modelling versus the traditional empirical methods are that they can cater for different geometries and scenarios that were identified as limitations in the use of empirical methods. The difference in average pillar stress values obtained between empirical design and numerical modelling and indeed between the different numerical modelling programs themselves give a compelling argument that it is prudent not to base the design of any underground layout on only one method. An attempt should be made to use as many different available methods as possible, then from those, use the most optimal one in terms of cost and extraction ratio based on the design criteria. INTRODUCTION Numerical Modeling plays a key role in enhancing the confidence in designs undertaken using empirical approaches. Empirical approaches have been found to be also reliable since they are tethered in reality and can account for design parameters which may be difficult to account for using numerical modeling (Benyoucef et al, 2023; Jarufe, 2022; Li et al, 2021; Chikande and Zvarivadza, 2018; Zvarivadza and Sengani, 2018a; Zvarivadza and Sengani 2018b; Chikande and Zvarivadza, 2016; Chinyowa and Zvarivadza, 2015). A detailed study on empirical approaches in the design of regional pillars in platinum mining is given by Mutsvanga and Zvarivadza (2020)." @default.
• W4386523746 created "2023-09-08" @default.
• W4386523746 creator A5002474858 @default.
• W4386523746 creator A5023024861 @default.
• W4386523746 creator A5030583157 @default.
• W4386523746 creator A5033882645 @default.
• W4386523746 date "2023-06-25" @default.
• W4386523746 modified "2023-09-28" @default.
• W4386523746 title "Numerical Modeling Application in the Design of Regional Pillars for an Ore-Replacement Project: Underground Platinum Mining Case Study" @default.
• W4386523746 doi "https://doi.org/10.56952/arma-2023-0795" @default.
• W4386523746 hasPublicationYear "2023" @default.
• W4386523746 type Work @default.
• W4386523746 citedByCount "0" @default.
• W4386523746 crossrefType "proceedings-article" @default.
• W4386523746 hasAuthorship W4386523746A5002474858 @default.
• W4386523746 hasAuthorship W4386523746A5023024861 @default.
• W4386523746 hasAuthorship W4386523746A5030583157 @default.
• W4386523746 hasAuthorship W4386523746A5033882645 @default.
• W4386523746 hasConcept C105289051 @default.
• W4386523746 hasConcept C105795698 @default.
• W4386523746 hasConcept C111919701 @default.
• W4386523746 hasConcept C120936955 @default.
• W4386523746 hasConcept C127413603 @default.
• W4386523746 hasConcept C133199616 @default.
• W4386523746 hasConcept C134306372 @default.
• W4386523746 hasConcept C2986605239 @default.
• W4386523746 hasConcept C33923547 @default.
• W4386523746 hasConcept C41008148 @default.
• W4386523746 hasConcept C44154836 @default.
• W4386523746 hasConcept C48753275 @default.
• W4386523746 hasConcept C500300565 @default.
• W4386523746 hasConcept C66938386 @default.
• W4386523746 hasConcept C98045186 @default.
• W4386523746 hasConceptScore W4386523746C105289051 @default.
• W4386523746 hasConceptScore W4386523746C105795698 @default.
• W4386523746 hasConceptScore W4386523746C111919701 @default.
• W4386523746 hasConceptScore W4386523746C120936955 @default.
• W4386523746 hasConceptScore W4386523746C127413603 @default.
• W4386523746 hasConceptScore W4386523746C133199616 @default.
• W4386523746 hasConceptScore W4386523746C134306372 @default.
• W4386523746 hasConceptScore W4386523746C2986605239 @default.
• W4386523746 hasConceptScore W4386523746C33923547 @default.
• W4386523746 hasConceptScore W4386523746C41008148 @default.
• W4386523746 hasConceptScore W4386523746C44154836 @default.
• W4386523746 hasConceptScore W4386523746C48753275 @default.
• W4386523746 hasConceptScore W4386523746C500300565 @default.
• W4386523746 hasConceptScore W4386523746C66938386 @default.
• W4386523746 hasConceptScore W4386523746C98045186 @default.
• W4386523746 hasLocation W43865237461 @default.
• W4386523746 hasOpenAccess W4386523746 @default.
• W4386523746 hasPrimaryLocation W43865237461 @default.
• W4386523746 hasRelatedWork W1964226693 @default.
• W4386523746 hasRelatedWork W2021141401 @default.
• W4386523746 hasRelatedWork W2049181797 @default.
• W4386523746 hasRelatedWork W2071752075 @default.
• W4386523746 hasRelatedWork W2112608176 @default.
• W4386523746 hasRelatedWork W2389363025 @default.
• W4386523746 hasRelatedWork W2548222822 @default.
• W4386523746 hasRelatedWork W2610547308 @default.
• W4386523746 hasRelatedWork W3048717932 @default.
• W4386523746 hasRelatedWork W2565675907 @default.
• W4386523746 isParatext "false" @default.
• W4386523746 isRetracted "false" @default.
• W4386523746 workType "article" @default.