Model for Prediction of Blast-Induced Ground Vibrations in Open Pit Mines Using Monte Carlo Simulation Method and Fuzzy Logic
Autor: | Milanka N. Negovanović |
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Přispěvatelé: | Igor Miljanović, Lazar Kričak, Dragoslav Kuzmanović, Lazar Kričak|Dragoslav Kuzmanović |
Jazyk: | srbština |
Rok vydání: | 2015 |
Předmět: |
predviđanje potresa
model blasting prediction of vibrations fazi logika FFT analiza spektri odziva fazilogika crack displacement površinski kop regression analysis fuzzylogic površinski kopovi open pit mine FFT analysis Monte Karlo response spectra miniranje pomeraj pukotina Monte Carlo regresiona analiza |
Zdroj: | Универзитет у Београду |
Popis: | Modeliranje predviđanja potresa tla od miniranja primenom fazi logike i metode MonteKarlo zasnovano je na podacima dobijenim terenskim merenjima potresa uzrokovanihminiranjem. Promenljive modela definisane su analizom parametara bušenja i miniranjaminskih serija, kao i velosigrama izmerenih potresa od miniranja. Iskorišćene suprednosti fazi logike u implementaciji mnogo većeg broja ulaznih i izlaznih veličina zamodeliranje u odnosu na postojeće empirijske modele. Na osnovu identičnih podataka,dobijen je regresioni model predviđanja potresa, da bi se izvršilo testiranje novogmodela. U cilju povećanja pouzdanosti modela predviđanja, izvršena je analizaizmerenih karakteristika potresa prema postojećim standardima, izračunati su spektriodziva na osnovu velosigrama, izvršeno je merenje i analiza pomeraja pukotina usledpotresa od miniranja i dnevnih promena temperature i relativne vlažnosti vazduha najednom od stambenih objekata. Tokom istraživanja, registrovan je zemljotres 03.novembra 2010. god. sa epicentrom u Kraljevu, što je omogućilo analizu velosigramapotresa uzrokovanih zemljotresom.Testiranjem modela utvrđena je visoka pouzdanost predviđanja u odnosu na postojećiregresioni model. Uzimajući u obzir kompleksnost problema predviđanja potresa odminiranja, kao i određen stepen neizvesnosti, povezan sa karakteristikama stenskogmaterijala, primenjen je Monte Karlo model za određivanje učestalosti pojavljivanjakritičnih vrednosti pokazatelja potresa, za konkretne slučajeve miniranja.Metodologija modeliranja može se primeniti pri predviđanju potresa uzrokovanihminiranjem na svim površinskim kopovima. Modeling the prediction of blast-induced ground vibrations using fuzzy logic and MonteCarlo method is based on data obtained by field measurements of ground vibrationsinduced by blasting. The variables of the model are defined by the analysis of drillingand blasting parameters of blasting rounds as well as vibration time histories ofmeasured vibrations. The advantages of fuzzy logic in the implementation of a muchlarger number of input and output variables for modeling compared to the existingempirical models are apllied. The regression model for the prediction of vibrations isobtained on the basis of identical data for testing the new model. In order to increase thereliability of prediction model, the analysis of measured vibration characteristicsaccording to existing standards, the response spectra on the basis of vibration timehistories as well as the measurement and analysis of crack displacement due to vibrationfrom blasting and daily changes in temperature and relative humidity in one of theresidential buildings have been carried out. During the research, the earthquake wasregistered on November 3rd 2010. with its epicenter in Kraljevo, which enabled theanalysis of vibration time histories induced by earthquake.Testing the model revealed the high reliability of prediction in relation to existingregression model. Taking into account the complexity of prediction of blast-inducedvibrations as well as a certain degree of uncertainty associated with the characteristicsof rock mass, the Monte Carlo model has been applied to determine the frequency ofoccurrence of ground vibration critical values for the specific blasting cases.The methodology of modeling can be applied for the prediction of vibration fromblasting in all open pit mines. model, prediction of vibrations, blasting, open pit mine, Monte Carlo, fuzzylogic, regression analysis, FFT analysis, response spectra, crack displacement |
Databáze: | OpenAIRE |
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