爆震強度 的英文怎麼說
中文拼音 [bàozhènqiángdù]
爆震強度
英文
knock intensity indicator-
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。Study on the strength effect and load of blasting vibration
爆破地震效應強度與爆破地震荷載的探討Based on the numerical simulation method of finite element, the calculation method of particle vibration velocity, an important index reflecting the blasting vibration intensity, is discussed ; and an comparison analysis of the calculation results between two different kinds of charge structures decked with air and water is made
基於有限元數值模擬方法的基礎上對反映爆破震動強度的重要指標質點振動速度的計算方法進行了探討，並對空氣和水兩種不同間隔裝藥結構下的震動強度計算結果進行了對比分析。Forecasting of the blasting vibration is always the premise and basis of the controlling of the blasting vibration damage, and is an important subject of it
摘要爆破震動強度的預測一直是爆破震動危害控制的前提和基礎，也是其研究的一個重要課題。The attenuation indexes of vertical direction components and level radial components of blast earthquake wave in the condition of far range are all larger than the one in the condition of close range. based on upwards analysises, relevant control ways and safety defending technology of blast vibration are given from the aspects of blast equipments, blast parameters, landform physiognomy, blast methods. and taking the practical data from blast scene as the sample, the blast shockproofness are forecasted by the feedforward nerve network model based on the prior knowledge of blast shockproofness, the regress analysis method and experience formula method, which supply the technology gist for
並且，以爆破現場的實測數據為樣本，採用基於爆破震動強度先驗知識的前饋網路神經模型、回歸分析法及經驗公式法分別對爆破震動強度進行了預測研究，為爆破施工參數的確定提供了技術依據，確保整個爆破工程順利安全進行，並對這三種方法的預測結果進行了對比分析;對比分析表明，三種預測方法計算出來的結果精度相差甚大，從檢驗樣本值與預測結果值之間的相對誤差可以看出，人工神經網路法預測的結果較其他方法更接近於實際值，回歸分析預測法的精度又要高於經驗公式預測法。Relation of blasting seismic intensity and related blasting parameters is researched to illustrate propagation law and damage performance of the blasting seismic wave, and influence extent of related blasting factors on blasting seismic intensity
闡明了爆破地震波傳播規律及其破壞行為特徵，以及各個爆破相關因素對爆破地震強度的影響程度。It shows that the value of fractal dimension gives large change at knock threshold and can be used to evaluate the knock intensity
研究表明，分形維數在爆震邊緣附近變化明顯，可以作為爆震強度指標判別爆震邊緣。In order to decrease the size of fragmentation and reduce blasting vibration effects on the stability of eastern open pit slope of tongshankou copper mine < this work involved two steps. first of all, based on the experiment in laboratory, this paper presented the optimum blasting parameters and applied it in practice
為降低銅山口礦露天采場生產爆破的大塊率和地震波振動強度，保證采場東幫陡邊坡的穩定，本文在對國內外大量文獻綜合調研的基礎上，首先採用正交設計對現場爆破參數進行了室內模型實驗，得出優化的模型爆破參數后又應用於生產。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