炸藥爆破系數 的英文怎麼說
中文拼音 [zháyàobàopòxìshǔ]
炸藥爆破系數
英文
explosive factor- 炸 : 炸動詞1. (在油里弄熟食物) fry in deep fat or oil 2. [方言] (焯) scald (as a way of cooking)
- 藥 : Ⅰ名詞1 (藥物) medicine; drug; remedy 2 (某些有化學作用的物質) certain chemicals Ⅱ動詞1 [書面...
- 爆 : 動詞1. (猛然破裂或迸出) explode; burst 2. (放在滾油里快炒) quick-fry
- 破 : Ⅰ動詞1 (完整的東西受到損傷) be broken; be damaged 2 (使損壞) break; break down; damage 3 (使...
- 系 : 系動詞(打結; 扣) tie; fasten; do up; button up
- 數 : 數副詞(屢次) frequently; repeatedly
- 炸藥 : explosive; explosive charges; dynamite; chloratit (克羅替炸藥)
- 爆破 : blow up; blast; burst; demolish (by explosives); detonate; explode; dynamite
- 系數 : [數學] coefficient; ratio; modulus; quotient; factor
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Taking bench shooting of the shuibuya yihongbao project as example, it makes use of the digital television system of drilling overall - hole wall to actually measure, the testing result of lateral fractural range is 4 - 5m, and that of bottom fractural range is about 3m
本文試驗工作是以水布埡溢洪道工程梯段爆破為實例,採用鉆孔全孔壁數字電視系統對混裝乳化炸藥爆破破裂范圍進行了實際測試,測試結果為:側向破裂范圍為4 5m ,底部破裂范圍值為3m 。In blasting experiments, durations of subordinate basting seismic waves and intensity of influence among them are changed by adjusting the number of subordinate blasting, explosive weigh of subordinate blasting, total quantum of explosive, interval, hole - net parameters and wave resistance of rock, etc
摘要在爆破實驗中,通過調整段數、分段炸藥量、炸藥總量、間隔時間、孔網參數、巖石波阻等爆破相關因素,以改變各分段爆破地震波持續時間、段別間爆破地震波重疊程度來研究爆破地震強度與爆破相關因素間的相互關系。By using the methods of contemporary statistics theory hiberarchy analyses, improving hiberarchy analyses, and fuzzy theory hiberarchy analyses, the blasting beneficial result model on mixed loading emulsion explosive blasting is compared with bag - drug emulsion explosive blasting on the judge model
應用現代數學統計理論的層次分析、改進層次分析和模糊層次分析評判了混裝乳化炸藥與袋裝乳化炸藥爆破效益模型,經過系統分析混裝乳化炸藥爆破效果最好。Basing on the theory of shape geometry, the distribution of rock blasting fragmentation are discussed, fragmentation of blasting experimentation of different charging construction appears shape character, and the relation of explosive ratio, line of weakness and distribution of blasting fragmentation are confirmed by regression, the relation of function of explosive ratio of distant loading and consecutive loading are confirmed by contrasting different distribution of blasting fragmentation of charging construction, a new approach will be put forward for optimized of bore net parameter and forecast of distribution of blasting fragmentation
回歸分析了爆破試驗的炸藥單耗、底盤抵抗線與爆破塊度分維數之間的函數關系,對比不同裝藥結構爆破塊度的分維數,得出了同等條件下間隔裝藥與連續裝藥炸藥單耗差值的關系,以及裝藥結構對巖石爆破塊度分佈影響的規律。根據對巖石爆破破碎塊度分佈分形規律的研究,找出了預測孔網參數優化、爆破塊度分佈新的途徑。The expert system ' s engineering database has the data of the correlative physical - mechanical property of rock, parameters of industrial explosive, blasting accessories and drilling machine
在該系統中建立了存儲工程爆破實例數據與相關的巖石物理力學性質、工業炸藥參數、起爆器材參數和鑿巖機參數的工程數據庫。The main factors have been determined to be the depth and width of hole, the strength of surrounding rock, the types of detonator, the decoupling coefficient, burden and unit consumption form what has been discussed, the author make use of those major factors as standard of affection and studied bp neural networks " work principle, structure and defectiveness. a model of modified bp neural networks has been used to built model in order to identify selection and optimize of blasting in rock anchor beam. triumphant parameter design of blasting were selected as a example, in order to perform network of parameter design
確定以炸藥類型、最小抵抗線、孔深、炮眼間距、不耦合系數、線裝藥量、巖石強度和巖體完整度為主要影響因素;把改進的bp演算法應用在爆破參數優化設計中,建立以炸藥類型、最小抵抗線、炮孔深度、炮眼間距、線裝藥量、不耦合系數、巖石強度和巖體完整度為主要影響指標,選擇45例國內外成功的爆破參數設計實例為樣本,利用bp神經網路進行爆破參數優化設計,並通過現場保護層和巖臺修面爆破試驗以及對其松動圈范圍進行聲波測試,其測試結果最優的爆破方案其松動圈最小,這與神經網路進行參數優化設計的爆破方案相吻合。At first, the author has analyzed the theory, mechanism and shock - absorption in pre - split blasting, studied the rising of crack, expanding and stopping, and did various factors which influence on the crack of rock in pre - split blasting. the main factors have been determined to be the strength of mineral and rock, the diameter of drill, the type of explosive and the growth degree of crack. then, the author has researched bp neural networks " work principle, structure and defectiveness
首先分析了巖石成縫的理論、機理和減震作用,研究了裂紋的起裂、擴展和止裂;分析了各種因素對巖石預裂爆破成縫的影響,確定了礦巖強度、孔徑、炸藥類型和裂隙發育程度作為主要影響因素;並研究了bp神經網路工作原理、結構和缺陷,把改進的bp神經網路運用在巖石預裂爆破參數設計中,建立以礦巖強度、孔徑、炸藥類型和裂隙發育程度為主要影響指標的bp神經網路的預裂爆破參數設計識別模型;運用matlab6 . 5語言開發了爆破參數設計的智能系統,實現了預裂爆破參數設計的自動化,用工程實例驗證系統模塊的功能。分享友人