路面粗糙度 的英文怎麼說

中文拼音 [lùmiàncūcāodù]
路面粗糙度 英文
road roughness
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 面 : Ⅰ名詞1 （頭的前部; 臉） face 2 （物體的表面） surface; top 3 （外露的一層或正面） outside; the ri...
  • 粗 : Ⅰ形容詞1 （長條東西直徑大的） wide （in diameter）; thick 2 （長條東西兩長邊的距離寬的） wide （i...
  • 糙 : 形容詞（粗糙; 不細致） rough; coarse; crude
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 路面 : road surface; pavement; roadbed路面板 road deck; roadway slab; 路面標高 grade elevation; 路面標線...
  • 粗糙 : （不精細; 不光滑; 不細致; 草率） coarse; rough; crude
  1. Based on hydrodynamic lubrication theory, a rectangular tire tread model for simulating the viscous hydroplaning of tire is set up, taking into consideration the effects of hydrodynamic action, squeeze action and road roughness with numerical solutions obtained

    摘要根據流體動力潤滑理論，將輪胎貓性滑水問題模擬為胎面單元與路面之間的動壓、擠壓膜問題，同時考慮了路面粗糙度的影響，建立了輪胎胎面單元黏性滑水問題的數學模型，並進行數值求解。
  2. Integrating tynman system with polarized system together, the laser interferometer is compatible for the surface with different reflectance. first, on the basis of synthesizing different interferometric microscope, the author introduced a kind of lase interferometer combining polarized interferometry and real - time phase detection algorithms. first, a kind of optical configuration is introduced, which is realized in the above interferometer

    本文在分析了國內外不同干涉顯微系統的基礎上，根據干涉顯微測量方面的需求提出了採用偏振干涉和條紋掃描方式實時檢測波面位相的激光干涉顯微系統，提出了一種可用於表面微觀輪廓及粗糙度參數測量的光學顯微干涉系統的光路，然後介紹了條紋掃描波面位相實時檢測技術以及四步移相法，並在此基礎上完成了光學系統及相關的機械結構。
  3. 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

    依據文中方法，對潤揚大橋北錨碇基坑建基面粗糙度進行了定量分維描述，探討了考慮多種因素條件下整個錨碇摩阻力的確定方法，為巖體工程摩阻力的準確確定探索了一條新的思路和途徑。
  4. Through the experiment of the interfacial bonding shear strength and the shrinkage strain of concrete, the influence of the interfacial roughness of used concrete surface and interfacial bonding agent to interfacial bonding strength is revealed ; new concrete component and the shape and size of concrete slab are main factor affecting the shearing stress in layers

    試驗結果表明：老混凝土粘結面的粗糙度和界面粘結劑類型對新老混凝土界面粘結強度影響很大；新鋪混凝土材料和混凝土路面板形狀尺寸是影響新老混凝土粘結面收縮剪應力的主要因素。
  5. Standard practice for computing international roughness index of roads from longitudinal profile measurements

    從縱剖面測量計算道路國際粗糙度指數的標準操作規程
  6. Horizontal road markings. markings applied on the roads. roughness : in situ test method

    路面水平標記.馬路標志.粗糙度.現場試驗方法
  7. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly

    本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路學習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參數（隱層節點數、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入數據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面性、完善性及精度;然後，針對知識獲取過程中所存在的不確定性、不完備性等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損數據補齊、連續數據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。
  8. Standard test method for measurement of vehicular response to traveled surface roughness

    測量車行道路面粗糙度的行車響應曲線的標準試驗方法
  9. And the value drop to the lowest at ph = 0. 8. as the increase of heat treatment temperature, the pore size distribution peak of sio2 microspheres is very narrow, meanwhile the specific surface area is the smallest before 160 c. the polymer template is removed at 350 c, so the pore structure of sio2 particles has a big change which involve the increase of specific surface area and the broaden of pore size distribution peak. with the continuous raise of temperature the sio2 network will shrink little, as a result the average pore size will decrease, but the specific surface area has no obvious change

    結果發現：二氧化硅膠體顆粒均勻分佈於脲醛聚合物網路中，煅燒去除有機模板后微球表面變粗糙，而粒徑沒有明顯變化； ph值較小時，復合微球中聚合物含量較大，而ph值較大時，得到復合微球結構鬆散，因此熱處理后的二氧化硅微球孔容及平均孔徑都較大，而在ph = 0 . 8時，得到最小值；武漢理工大學碩士學位論文隨著熱處理溫度的變化，小於160時，空分佈較窄，而比表面積較小，在350時，由於有機模板的去除，微球孔結構發生突變，比表面積明顯增大，而孔徑分佈變寬，溫度繼續升高時，二氧化硅網路發生收縮，平均孔徑變小而比表面積由於有機炭化物的完全去除沒有太大變化;微球中的微孔在熱處理過程中處于平衡狀態，分佈沒有太大變化。
  10. Then, according to the established structure, the parameters of the optical switch were modeled and optimized. the thickness, roughness, verticalness of the mirror was analyzed and designed. finally, the rectangular magnetic material was selected for the electromagnet thirdly, the parameters were optimized by ansys software and the performance of the optical switch was analyzed

    首先根據電磁鐵的非線性特性和梁的抗彎曲力的線性特性，設計出磁力驅動懸臂梁式光開關結構，然後根據提出的結構，從理論上對懸臂梁的參數進行模擬分析選出合適的懸臂梁參數，緊接著分析平面鏡的厚度、表面粗糙度、垂直度對光開關性能的影響；最後對磁路系統，明確選擇具有矩形磁滯回線的材料，設計出電磁鐵的結構。
  11. Pattern recognition and fault diagnosis based on the rough sets theory and neural networks is studied in this dissertation. rough set theory in the noise environment and in the real region is generalized, and as the sametime, the methods of combine rough set theory with neural networks are proposed. the main contents of the dissertation are organized as follow : at first, a relation of nearness instead of indiscernibility is proposed for increasing the robustness of decision system which consists of noise pollution data

    論文運用粗糙集理論與神經網路方法進行了模式識別和故障診斷方面的研究，對在噪聲下和實數領域的粗糙集模型進行了擴展，研究了粗糙集與神經網路的多種集成應用方法，全文的主要內容如下:首先，論文針對經典粗糙集理論中的不可分辨關系對連續屬性值中噪聲數據缺乏容錯性的情況，提出一種相近關系代替不可分辨關系，並用不同的值調節相近關系中可接受的相近程度，限制了可冗餘的范圍。
  12. The wheel - rail noise is generated by vibration that is caused by the surface roughness of wheel - rail

    而鐵路輪軌噪聲產生的根本原因是由輪軌間表面粗糙度引起的振動而造成的。
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