水下挖掘機 的英文怎麼說
中文拼音 [shuǐxiàwājuéjī]
水下挖掘機
英文
underwater excavator-
Correspondingly, its theory is up to developed to a higher level. in this thesis, taking the risk management activities of the two parties of insurance as the perceptive and the process of engineering insurance as the clue, the establishment of risk management system is analyzed during the process of risk identification and evaluation, insurance contract arrangement, disaster prevention and loss reduction, and the compensation management. furthermore
本文在查閱大量文獻的基礎上，對疏浚泥泵及排泥管道的動態特性現象進行了分析，並應用面向對象的c + +語言開發了比較通用的計算機程序，對緊急關閥、水下挖掘機具（如絞刀、斗輪等）吸泥口堵塞以及事故拋泵等典型的動態工況特性進行了計算和分析。They lowered nets, dredges, bathythermographs, still cameras, water bottles, coring pipes, and current meters
他們沉降下去網、挖掘機、深海溫度測量器、靜態照相機、水瓶、以及取心鉆管和測流計。In this paper, it is studied and analyzed characteristic of stress, distortion etc. of pipe liner structure combining dahuofang transport water tunnel practice project, tunnel boring machine construction, and it is considered that affects internal force of pipe liner for early stress of underground structure and digging load. in nonlinear finite element calculation model, folium cells have been simulated among pipe liner and pipe liner and wall rock. under varies load condition, it has educed that changing rule of stress, distortion and load characteristic pipe liner in kinds of wall rock tunnel by analysis and calculation
本文結合實際工程，分析研究了大夥房水庫輸水隧道工程在採用掘進機施工方法的情況下，利用管片襯砌的結構應力、變形等受力特性，考慮地下結構初始應力和開挖荷載對襯砌內力的影響，採用薄層單元模擬襯砌管片之間、襯砌管片與圍巖之間的非線性有限元計算模型，通過分析計算得出不同荷載工況下各類典型圍巖段隧道襯砌管片受力特徵、應力和位移變化規律。The optimized feature set feeds a 3 - class classification module, which is based on the traditional binary svm classifier. and the proposed linear programming svm reduces the burden of the svm classifier and improves its learning speed and classification accuracy. a new algorithm that combined svm with k nearest neighbor ( knn ) is presented and it comes into being a new classifier, which can not only improve the accuracy compared to sole svm, but also better solve the problem of selecting the parameter of kernel function for svm
在研究了數據挖掘、支持向量機及其有關技術的基礎上，建立了實現三類水中目標識別的svm方法；採用線性規劃svm解決了傳統二次規劃svm在海量樣本情況下導致的時間和空間復雜度問題；提出了將最近鄰分類與支持向量機分類相結合的svm - knn分類器應用於水中目標識別的思想，較好地解決了應用支持向量機分類時核函數參數的選擇問題，取得了更高的分類準確率。At present, the level of mechanization and automation of tunnel boring machines ( tbm ) has been improved significantly, and tbms can be designed to excavate tunnels with different shapes under different geological conditions
摘要目前，隧道掘進機的機械化及自動化水平得到了很大提高，隧道掘進機可以開挖不同的地質條件下各種形狀的隧道。分享友人