法揚索維 的英文怎麼說

中文拼音 [yángsuǒwéi]
法揚索維 英文
fayansovyy
  • : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
  • : Ⅰ動詞1 (高舉; 往上升) raise 2 (往上拋撒) throw up and scatter; winnow 3 (傳播出去) spread; ...
  • : Ⅰ名詞1 (大繩子; 大鏈子) a large rope 2 (姓氏) a surname Ⅱ動詞1 (搜尋; 尋找) search 2 (要; ...
  • : Ⅰ動詞1 (連接) tie up; hold together; link 2 (保持; 保全) maintain; safeguard; preserve; keep ...
  • 索維 : sauvy
  1. According to the method in paper, roughness of bedrock surface of north anchor pit of runyang bridge is described in quantitative fractal dimension, and the method of determining frictional resistance of the whole anchor under many factors is discussed, which offers a new ideal and approach for precise determination of frictional resistance of rock mass engineering

    依據文中方,對潤大橋北錨碇基坑建基面粗糙度進行了定量分描述,探討了考慮多種因素條件下整個錨碇摩阻力的確定方,為巖體工程摩阻力的準確確定探了一條新的思路和途徑。
  2. Taking suspension bridge anchor of runyang highway bridge as project background in this paper, considering undulating angle of rock mass structural plane, angle of mean square root slope method is established by exerting fractal geometry theory. fractal dimension of profile of rock mass structural plane is calculated by above method. and roughness degree is described quantitatively, furthermore correlativity between fractal dimension and roughness coefficient ( jrc ) is analyzed

    本文以潤大橋懸橋錨碇摩阻力研究為工程背景,運用分形幾何理論,從巖體結構面起伏角的角度出發,建立了均方根坡度角測算巖體結構面剖面輪廓線的分數,定量描述其粗糙程度,並分析了分數與粗糙度系數jrc之間的相關關系。
  3. This dissertation proposes a new and effective optimization - - immune genetic algorithm ( iga ) on the analysis of the drawbacks of traditional ga ' s and developing the useful and discarding the useless of existing immune theories. this dissertation aims to make the designed algorithm resolve the contradiction of local search capability and global search capability effectively and keep the population diversity during the evolving progress so as to remedy the demerits of traditional ga ' s

    本文在分析了傳統遺傳演算的缺陷機理和棄了已有免疫理論的基礎上,提出了一種新型有效的優化演算? ?免疫遺傳演算( immunegeneticalgorithm , iga ) ,旨在通過對生物體實際免疫行為的模擬,使設計的優化演算能夠有效解決全局搜能力和局部搜能力的矛盾、持演化過程中種群的多樣性,從而彌補傳統遺傳演算的缺陷。
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