打击桩的英文

• driven pile

• "打击"英文翻译    strike; attack; crack down; ...
• "桩"英文翻译    pile; pole; stake
• "冲击桩" 英文翻译 :    impact stake
• "打击" 英文翻译 :    strike; attack; crack down; hit; trip; swash; collision; verberation; blow 打击刑事犯罪 crack down on crime; 沉重的打击 a heavy blow; 打击经济领域的严重犯罪活动 struggle against serious crimes in the economic field; crack down on serious criminal activities in the economic field; 打击投机倒把活动 crack down on speculation and profiteering; 打击歪风 take strong measures against unhealthy tendencies; combat unhealthy tendencies
• "冲击,打击" 英文翻译 :    impinge
• "打击, 攻击" 英文翻译 :    have at
• "打击，挫折" 英文翻译 :    dash
• "打击步" 英文翻译 :    pas battu
• "打击锤" 英文翻译 :    peening hammer
• "打击的" 英文翻译 :    striking
• "打击点" 英文翻译 :    impact point
• "打击法" 英文翻译 :    beating; hammering; pounding
• "打击乐" 英文翻译 :    percussion music◇打击乐器 percussion instrument
• "打击力" 英文翻译 :    hitting power; striking power
• "打击率" 英文翻译 :    batting average; slugging average
• "打击面" 英文翻译 :    batter side; face
• "打击声" 英文翻译 :    whop
• "打击手" 英文翻译 :    batter; batting; stickman
• "打击数" 英文翻译 :    blow count
• "打击位" 英文翻译 :    box
• "打击我" 英文翻译 :    beat me; break me down
• "打击者" 英文翻译 :    batting; prahari; striker
• "大打击" 英文翻译 :    a great blow
• "殴打，打击" 英文翻译 :    to beat
• "受打击" 英文翻译 :    overwhelm; take a beating

• Abstract : artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles . the optimal neural network model is deve loped using only simple input data of spt - n values and piles ' geometrical featu r es etc . . the analysis for r . c piles of some projects is performed adopting the bp n n and grnn models respectively , and the obtained predicated results are compared w ith the data from conventional design method . it demonstrated the obvious advanta ges of neural networks in the design of pile foundations over the traditional me thods . this paper has an important practical significance and a referential worth iness in the design of pile foundations
  文摘:根据钻孔桩和打击桩的原型试验观测的数据,运用人工智能方法对横向承载桩和轴向承载桩的工作特性进行模拟,并利用标准贯入试验( spt - n )值和桩的几何特性等简单的输入数据,开发出相应的优化神经网络模型;然后,运用反向传播神经网络模型和广义回归神经网络模型分别对某工程的钢筋混凝土桩进行分析,并将求得的预测结果与常规设计法的结果进行比较,结果表明神经网络方法比传统方法有明显的优越性,在实际工程设计中具有重要的参考价值和现实意义。