УДК: 622.235

Математическое моделирование прогнозирования гранулометрического состава продуктов разрушения

Авторы: Назаров З.С. || || Шомуродов Ш.Ш.

Рубрика: Геотехнология || Выпуск: №1 (Январь-Март), 2017 год. || Скачать

Ushbu maqolada portlatilgan tog' jinslarining granulometrik tarkibini bashorat qilishning matematik modellashtirish usuli ko'rib chiqilgan. Bunda matematik modellashtirish prinsplarga tayanadi ya'ni hodisa, jarayon ulrning natijalarini matematik model vordamida o'rganish tushiniladi. Tog' jinsining portlatish vordamida maydalash sifati bir-biriga bo'lgan bog'liq faktorlar bilan aniqlanadi. U bo'laklar hosil bo'lishining f izik qonuniyatiga asoslangan asosiy faktorlar bilan birga ikkilamchi faktorlarga ham bog'liqdir. Portlatib mavdlash jarayonida tog' jinsining statik xarakterga ega ekanligini ko'rsatadi. Ushbu maqsadga ko'ra portlatilgan kon massasi granulometrik tarkibining takomillashtirish qonuniyatini aniqlash yoki funsivaning taqsimlanish ko'rinishi, qonunlarning parametrtlarini xisoblash, matematik model tuzish, va portlatilgan kon massasinig granulomrtrik tarkibi ko'zda tutilgan.

Tayanch iboralar: bashorat qilish, granulometrik, modellashtirish, stoxastik xarakter, konkordatsiva.

The article reviews the mathematical model method fo r forecasting o f grain-size distribution o f blasted rocks. I t is based on mathematical modeling principles, i.e. study with mathematical models o f phenomena, processes and their results. The quality o f crushing o f rocks by explosion is determined with many interrelated factors whose levels are significantly vary. It depends on both the main factors contributing to the physical laws o f the formation o f lumps and secondary factors, random, characterizing deviation from these regularities that determines the statistical nature o f processof rocks destruction by explosion. To this end, it plans to establish a law o f distribution o f grain-size distribution o f blasted rocks or form o f the distribution function, to calculate the parameters o f the set law, to build a mathematical model and to implement forecasting o f grain-size distribution o f blasted rocks.

Key words: forecast, grain-size classification, modeling, stochastic nature, rank communique, concordance, competence.

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Библиографический список

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