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計算機模擬顆粒堆積方法改善策略之研究

The Study of Improvability Tactics on Computer Simulation of Particles Packing Methods

摘要


近年來以計算機模擬顆粒力學性質及行為,已逐漸發展出一條可行的研究探討路徑,可以針對具有粒狀特性行為的材料進行相關特性及行為之研究。由相關文獻中發現有相當多種不同的計算機模擬堆積方式被採用,各有其優缺點及適應條件,普遍的缺點是耗時過長,影響分析程式之實用價值。本文著眼於針對各種不同模擬堆積方式進行分析效能改善之研究,希能提升各種分析方法之實用價值。研究結果顯示,1.以動態方式進行之模擬堆積較符合實際,但所耗時間普遍較長,如能在初始排列部分盡可能的壓低總堆積高度,將大量節省模擬堆積時間,2.以靜態方式進行之模擬堆積耗時較動態方式少很多,但如精密度選擇過低時可能會有局部堆積不合理情形發生。建議以先靜後動方式進行模擬堆積,可以同時兼顧動態符合實際及靜態節省運算時間二項優點。

關鍵字

顆粒 模擬堆積 堆積時間

並列摘要


In recent years, using computer to simulate the property and behavior of the particles mechanics was developed gradually to be a research way, proposed a feasible discussion way, might take aimed at the granular characteristic behavior material to carry on the correlation characteristic and the behavior studies. The discovery has the quite many kinds of different computer simulation packing method by the correlation literature in to use, has its good and bad points and the adaptation condition respectively, many has not only carried on each kind of different simulation packing method potency and the limit of comparative analysis in the common literature. This paper focuses on under the same condition, uses the same computer to carry on the good and bad points comparison in view of each different simulation packing method, compared with the content including the packing time and the packing achievement, simultaneously discusses whether still had space of the improvement. The findings showed, 1. Carries on the simulation packing by the dynamic way to conform to the reality, but consumes the time to be generally long, also has the geometry multiple along with the particles number to increase, does not suit simulation packing the massive particles, 2. Carries on the simulation packing by the static way spend less time than the dynamic way, but when the accuracy has chosen lowly can have the partial packing unreasonable situation occurrence. The suggestion is use the static simulation packing method first, and use the dynamic packing method to modify the packing achievement, may simultaneously give dual attention to dynamic conforms to actual and the static state saves the operation time two merits.

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