鋼筋網路 的英文怎麼說

中文拼音 [gāngjīnwǎnglù]
鋼筋網路 英文
steel grid
  • 鋼 : 鋼名詞（鐵和碳的合金） steel
  • 筋 : 名詞1 （肌的舊稱） muscle2 [口語] （肌腱或骨頭的韌帶） tendon; sinew 3 [口語] （可以看見的皮下靜...
  • 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 鋼筋 : concrete iron; concrete reinforcing bars; rebar; reinforcing bar; reinforced bar; reinforcing ste...
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Based on the current research achievements on durability under chloride environment, probability theory, structural reliability theory, concrete structures theory, neural network theory and structure dynamic theory are employed comprehensively in this dissertation. some problems of durability of reinforced concrete structures under chloride environment were studied through the exploitation of experimental data, the rule of chloride ingress and steel bar corrosion, the performance of corroded member, and residual life prediction. the main issues and results in this dissertation are as follows : 1 、 the probability method for the prediction of durable life based on the stipulated reliability index for concrete structures under chloride environment is presented in this dissertation

    本論文在國內外對氯離子侵蝕環境下混凝土結構耐久性研究成果的基礎上，綜合運用概率理論、結構可靠性理論、混凝土結構理論、神經網路理論、結構動力學理論等基本理論和方法，結合實際檢測數據，按照氯離子侵蝕、鋼筋銹蝕、銹蝕構件性能、銹蝕構件壽命預測的思路對氯離子侵蝕環境下鋼筋混凝土結構耐久壽命預測的有關問題進行了深入系統地研究，完成以下主要研究工作並取得相應成果: 1 、提出了氯離子侵蝕下基於規定可靠指標的混凝土結構耐久壽命的概率計算方法。
  2. Seismic damage prediction for single - story reinforced concrete industrial building based on back propagation neural network

    神經網路的單層鋼筋混凝土柱工業廠房震害預測
  3. B47 breaker is a pneumatic instrument manufactured with the mature technology of america gardener denver corporation. featuring portability, durability, great efficiency and speed, the breaker can break ferroconcrete, rocks and asphalt. it is ideal machinery for the construction and backout of mines bridges, roads, water pipes and electricity grids

    B47破碎機採用美國迦納德?丹佛氣動集團公司成熟技術，以壓縮空氣為動力的破碎工具，能高效完成鋼筋混凝土、巖石、瀝青等的破碎工作，具有輕便耐用，快速高效等特點，是礦山、橋梁、道路、水、電管網施工搶修及拆除的理想工具。
  4. Based on the test data of the crc beams taken from some chemical plants, which were mainly corroded by chloride, a calculation model was derived to calculate the ultimate load bearing capacity of such crc beams. then, bp nn model was built up to predict the ultimate load bearing capacity of crc beams. using such nn model to analyze many groups of test data ( under various corrosion cases ), satisfactory results are achieved

    基於目前較少開展的實際腐蝕環境下鋼筋混凝土構件受力性能的試驗研究，通過引入受腐蝕混凝土和銹蝕鋼筋的損傷因子導出了受氯離子腐蝕鋼筋混凝土構件極限承載力計算模型；建立了bp神經網路模型對受腐蝕鋼筋混凝土梁承載力進行了預測，通過對多組國外試驗研究結果（不同腐蝕作用情況下）的分析均取得了令人滿意的預測結果，並且隨著試驗資料的積累，預測效果可以得到進一步的改善；因此，本文建立的神經網路模型對受腐蝕鋼筋混凝土構件承載力研究是一種十分有效的方法，具有較好的應用前景。
  5. Thereafter, the fractal dimension value of cracks distribution was presented as an effective index to appraise the corrosion level. relations between fractal dimension and rebar corrosion ratio, concrete deterioration factor and strength of the member were studied respectively. fractal nn model was also built up to predict the ultimate load bearing capacity of crc members obtained from the field corroded structures, good results are achieved, which could provide an applicable method to evaluate the durability of crc members

    揭示出受腐蝕鋼筋混凝土構件在荷載作用下表面裂縫分佈服從統計意義上的分形，並對其進行了分形描述；提出以裂縫分形維數作為受腐蝕程度的有效衡量指標，首次實現了構件受腐蝕程度的定量描述；建立了裂縫分形維數與鋼筋銹蝕率、混凝土劣化系數、構件承載力之間的定量關系，並建立了分形神經網路模型對實際受腐蝕鋼筋混凝土構件進行了極限承載力的預測，取得了較好的預測效果。
  6. 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:根據鉆孔樁和打擊樁的原型試驗觀測的數據，運用人工智慧方法對橫向承載樁和軸向承載樁的工作特性進行模擬，並利用標準貫入試驗（ spt - n ）值和樁的幾何特性等簡單的輸入數據，開發出相應的優化神經網路模型;然後，運用反向傳播神經網路模型和廣義回歸神經網路模型分別對某工程的鋼筋混凝土樁進行分析，並將求得的預測結果與常規設計法的結果進行比較，結果表明神經網路方法比傳統方法有明顯的優越性，在實際工程設計中具有重要的參考價值和現實意義。
  7. Many factors can be concluded in this model. meanwhile the model is simple and feasible. the trial example shows the results of assessment of the degree of reinforcement corrosion coincide well with that of the experiment

    建立了鋼筋銹蝕量評估的bp網路模型，該模型可以同時考慮混凝土強度、保護層厚度、鋼筋直徑、裂縫寬度等多種影響因子，算例表明： bp網路模型的評估結果與實測結果較為一致，該模型應用簡便。
  8. Bp neural network application on carrying capacity calculation of reinforced concrete slender column

    網路在鋼筋混凝土細長柱承載力計算中應用
  9. Because concrete crack will greatly affect the security of concrete penstock in hydropower station, the paper applies the theory of global optimization method to predict the maximum concrete crack width in steel - lined reinforced concrete penstock and bring forward a predicting model based on the theory of artificial neural network ( ann )

    摘要基於人工神經網路的全局優化方法的基本理論，對鋼襯鋼筋混凝土壓力管道外包混凝土結構裂縫預測進行了研究，提出了基於神經網路的管道混凝土裂縫預測模型。
  10. Neural networks technology is applied to build the complex non - linear relationship between the anti - shear capacities of the reinforced concrete abnormal joints under low reversed cyclic loading and the main factors. back propagation neural networks model are build to predict the anti - crack capacity and bearing capacity. 3

    利用神經網路方法研究了低周反復荷載作用下的鋼筋混凝土框架異型節點抗剪承載力與各主要影響因素之間復雜的非線性關系，並利用bp神經網路分別建立了該節點的抗裂承載力預測模型以及抗剪極限承載力預測模型； 3
  11. In this paper, a practical example on demolition of a reinforced concrete chimney with height of one hundred meters by directional blasting was introduced, the design of blasting scheme, the determination of blasting parameters, shape and size of blasting cut, the openning of directional window, priming circuit, safety precautions, lining treatment and others were discussed, the details of construction technology were especially described

    介紹了百米鋼筋混凝土煙囪定向爆破拆除工程的實例，論述了爆破方案設計、爆破參數確定、爆破切口的形式和尺寸、定向窗的開設、起爆網路、防護措施以及內襯處理等，尤其對施工工藝進行了較為詳細的敘述。
  12. Based on thorough analysing the factors which affect the seismic damage of single - story reinforced concrete industrial building, this paper introduces two kinds of methods which are applicable to prediction of seismic damage for single - story reinforced concrete industrial building. one is bp ( back propagation ) neural network method, which is based on the theory of artifical neural network. in this method, lm ( levenberg - marquardt ) optimization algorithm is applied to improve the performance of standard bp algorithm. the other is grey fixed weight cluster method, which is based on the theory of grey system

    本文在充分分析單層鋼筋混凝土柱工業廠房震害影響因素的基礎上，提出了兩種用於單層鋼筋混凝土柱工業廠房震害預測的新方法。一種是基於人工神經網路理論的bp神經網路方法。在bp神經網路方法中，採用改進的bp演算法（ bplm演算法）對網路進行訓練，有效地改善了標準bp演算法的不足之處。
  13. Deterioration mechanism of the bond property between rusty rebar and corroded concrete was discussed. because that the bond strength between the corroded rebar and concrete is affected by many factors, and the relation between the factors and bond strength are highly nonlinear, to build the any calculation model will be very difficult. bp nn model was built up herein to predict the ultimate bond strength between the rebar and corroded concrete, good results are achieved

    闡明了銹蝕鋼筋與混凝土之間粘結性能的退化機理；鑒于銹蝕鋼筋混凝土之間的粘結性能受到多因素影響，且影響因素集與極限粘結強度之間存在著復雜非線性關系，建立了bp神經網路模型預測銹蝕鋼筋與混凝土之間極限粘結力，取得了較好的預測效果。
  14. Prediction on ultimate load bearing capacity of corroded reinforced concrete beams using neural networks

    受腐蝕鋼筋混凝土梁極限承載力神經網路預測
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