Multi-objective optimization of stope structure parameters in broken rock conditions using grey relational analysis

• Autorzy: Chen S. , Wu A. , Wang Y. , Cheng X.

Identyfikatory

DOI

10.24425/122447

Warianty tytułu

PL

Wielo-kryterialna optymalizacja parametrów struktury przodka wybierkowego w warunkach pękania skał przy wykorzystaniu „szarej” analizy relacyjnej

• Języki publikacji: EN

Abstrakty

EN

In order to optimize the stope structure parameters in broken rock conditions, a novel method for the optimization of stope structure parameters is described. The method is based on the field investigation, laboratory tests and numerical simulation. The grey relational analysis (GRA) is applied to the optimization of the stope structure parameters in broken rock conditions with multiple performance characteristics. The influencing factors include stope height, pillar diameter, pillar spacing and pillar array pitch, the performance characteristics include maximum tensile strength, maximum compressive strength and ore recovery rate. The setting of influencing factors is accomplished using the four factors four levels Taguchi experiment design method, and 16 experiments are done by numerical simulation. Analysis of the grey relational grade indicates the first effect value of 0.219 is the pillar array pitch. In addition, the optimal stope structure parameters are as follows: the height of the stope is 3.5 m, the pillar diameter is 3.5 m, the pillar spacing is 3 m and the pillar array pitch is 5 m. In-situ measurement shows that all of the pillars can basically remain stable, ore recovery rate can be ensured to be more than 82%. This study indicates that the GRA method can efficiently applied to the optimization of stope structure parameters.

PL

W pracy zaproponowano nową metodę optymalizacji parametrów struktury przodka wybierkowego prowadzonego w warunkach pękania skał. Metoda opiera się na badaniach terenowych, wykorzystuje także badania laboratoryjne oraz symulacje numeryczne. Do optymalizacji parametrów struktury przodka wybierkowego prowadzonego w warunkach pękania skał dla wielu wariantów charakterystyki górotworu wykorzystano ‘szarą’ analizę relacyjną (GRA – Grey Relational Analysis). Uwzględnione czynniki wpływu to wysokość przodka, średnica filarów, rozstaw filarów, rozmieszczenie filarów oraz charakterystyki górotworu: maksymalna wytrzymałość na rozciąganie oraz ściskanie oraz uzysk rudy. Ustawienia czynników wpływu dokonano z wykorzystaniem czterech czynników i dla czterech poziomów wg metody Taguchi planowania eksperymentów; ponadto 16 eksperymentów wykonano z wykorzystaniem symulacji numerycznych. Wyniki ‘szarej’ analiza relacyjnej wskazują, że wartość efektywna dla pierwszego z czynników, czyli rozmieszczenia filarów, wyniosła 0.219. Ponadto, otrzymano następujące optymalne parametry przodka: wysokość przodka 3.5 m; średnica filarów 3.5 m, rozstęp pomiędzy filarami 3 m, rozciągłość filarów 5 m. Pomiary przeprowadzone in situ wykazały, że wszystkie filary zasadniczo powinny zachować stabilność, a uzysk rudy przekroczyć może 82%. Wyniki wskazują, że ‘szara’ analiza relacyjna może być z powodzeniem wykorzystywana do optymalizacji parametrów struktury przodka wybierkowego.

Słowa kluczowe

EN

grey relational analysis; stope structure parameters; in broken rock conditions; numerical simulation; taguchi experimental design

PL

szara analiza relacyjna; parametry struktury przodka wybierkowego; pękanie skał; symulacje numeryczne; model Taguchi projektowania eksperymentu

• Wydawca: Instytut Mechaniki Górotworu PAN
• Czasopismo: Archives of Mining Sciences
• Rocznik: 2018
• Tom: Vol. 63, no. 2
• Strony: 269--282
• Opis fizyczny: Bibliogr. 28 poz., rys., tab., wykr.

Twórcy

autor

Chen S.

• Key Laboratory for High Efficient Mining and Safety in Metal Mine, Ministry of Education, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, PR China

autor

Wu A.

• Key Laboratory for High Efficient Mining and Safety in Metal Mine, Ministry of Education, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, PR China

autor

Wang Y.

• Key Laboratory for High Efficient Mining and Safety in Metal Mine, Ministry of Education, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, PR China

autor

Cheng X.

• Key Laboratory for High Efficient Mining and Safety in Metal Mine, Ministry of Education, School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, PR China

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018)