隧道效應系數 的英文怎麼說
中文拼音 [suìdàoxiàoyīngxìshǔ]
隧道效應系數
英文
channeling effect factor- 隧 : Ⅰ名詞1. (隧道; 地道) tunnel; underground pass2. [書面語] (道路) road3. (郊外的地方) suburbsⅡ動詞[書面語] (旋轉) turn
- 道 : Ⅰ名詞(道路) road; way; route; path 2 (水流通過的途徑) channel; course 3 (方向; 方法; 道理) ...
- 效 : Ⅰ名詞(效果; 功用) effect; efficiency; result Ⅱ動詞1 (仿效) imitate; follow the example of 2 ...
- 應 : 應動詞1 (回答) answer; respond to; echo 2 (滿足要求) comply with; grant 3 (順應; 適應) suit...
- 系 : 系動詞(打結; 扣) tie; fasten; do up; button up
- 數 : 數副詞(屢次) frequently; repeatedly
- 隧道 : tunnel; tunneling; tunnelling; chunnel; drive
- 效應 : [物理學] effect; action; influence
- 系數 : [數學] coefficient; ratio; modulus; quotient; factor
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H. m. jang, 1998, a theoretical model for the ventilation system of fu - de tunnel, 22nd national conference on theoretical and applied mechanics, r. o. c
張鴻明, 1998 ,公路隧道通風系數效應-圖解法,中國機械工程學會第十五屆全國學術研討會,臺南。Channeling effect factor
隧道效應系數According to the characteristics of engineering geology and supporting design in weak rock tunnel is simulated, in this paper, the influence of system anchoring bolt during construction of large cross - section tunnel in weak rock by three - dimension finite element analysis
摘要結合軟弱圍巖隧道工程地質和支護設計特點,應用三維數值方法模擬研究了軟弱圍巖隧道系統錨桿在一次支護中的作用效果。The paper firstly combined the aerodynamic model, pollutant model, traffic model and the optimal operating fans selection model and then established the sample data gaining program to produce the optimal sample data ; secondly, the multi - layer forward neural network and the fuzzy control is combined within an equivalent structure, after the learning of sample data, the neural - fuzzy control system for the road tunnel longitudinal ventilation is produced ; thirdly, the optimal operating fans selection model is replaced by the fuzzy control model to make the tunnel ventilation simulation program, and then the control results under different traffic flow circumstances are evaluated in the matlab environment ; finally, the adaptive ability of the neural - fuzzy control system is discussed
本文首先結合空氣動力學模型、污染模型、交通模型和最優風機開啟臺數選擇模型建立樣本數據獲取程序,利用該程序產生不同交通流下的最優樣本數據;然後,將多層前向神經網路與模糊控制進行結構等價型融合,通過學習最優樣本數據,建立公路隧道縱向通風神經模糊控制系統;之後,用此模糊控制模型替代最優風機開啟臺數選擇模型建立基於模糊控制的隧道通風模擬程序,在matlab下模擬模擬不同交通流下的隧道通風以測評控制效果;最後,對神經模糊控制系統的適應性進行了討論。分享友人