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1)  Characteristic of guided wave for corrosion
管道腐蚀导波特征
2)  corrosion characteristics
腐蚀特征
1.
The main H_2S corrosion forms,corrosion characteristics and impact factors in oil and gas production are introduced.
文章介绍了油气开采过程中H_2S腐蚀的主要形式、腐蚀特征和影响因素。
2.
Then the corrosion characteristics of pure Cu and its corrosion products were analyzed by using SEM,EDAX and XRD.
采用在两种西部内陆盐土中自然埋藏的试验方法,结合扫描电镜、EDAX能谱及X射线衍射分析研究了铜的产物及腐蚀特征。
3)  pipeline corrosion
管道腐蚀
1.
Multi-channels ultrasonic is dealt with,which is a key technology of in-line inspection of pipeline corrosion.
多通道超声自动检测是管道腐蚀内检测的关键技术。
2.
Using the broad-band ultrasonic inspection technology to develop the research on ultrasonic Pig with rotary probes and transducer array,the data processing for B-/C-scan imaging and 3D imaging of pipeline corrosion flaw was realized.
利用宽频超声检测技术开展了旋转探头和阵列探头管道超声内检测器(BUS-Pig)研究,实现了数据处理,管道腐蚀缺陷超声检测B、C扫描图像化和缺陷的三维图像化。
3.
Based on the corrosion inspection research and comprehensive technical and economic analysis, Corrosion and Protection Research Institute of Shengli Oilfield provides a scenario for fast inspecting and determining pipeline corrosion state without trenching, It includes technique, instruments, inspection procedure for measuring main parameters and error control.
胜利油田腐蚀与防护研究所在深入进行腐蚀检测技术研究与综合技术经济分析的基础上,提出了一条在不开挖管道的情况下快速检测和判断管道腐蚀状况的基本思路。
4)  corroded pipeline
腐蚀管道
1.
Finete element analysis of critical residual wall thickness of corroded pipeline;
腐蚀管道临界剩余壁厚的有限元分析
2.
Assessment method for remaining strength of corroded pipeline and its application;
腐蚀管道剩余强度评价方法及其应用
3.
Reliability and residual strength analysis of corroded pipeline;
腐蚀管道的剩余强度与可靠性分析
5)  corrosion pipeline
腐蚀管道
1.
BP neural network are combined with genetic algorithm (GA) named by modified BP-GA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
本文将BP神经网络和遗传算法相结合,得到一种新的神经网络,并将这种神经网络成功用于计算腐蚀管道的剩余强度和最大允许注水压力。
2.
BP neural network is combined with Genetic Algorithm (GA) named by modified BPGA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
将BP神经网络和遗传算法相结合 ,得到了一种可计算腐蚀管道剩余强度和最大允许注水压力的新神经网络。
3.
BP neural network were combined with genetic algorithm(GA) named by modified BP-GA methods to successfully predict residual strength and critical pressure of injecting corrosion pipelines.
将BP神经网络和遗传算法相结合 ,得到一种新的神经网络 ,并将这种神经网络成功用于计算腐蚀管道的剩余强度和最大允许输送压力。
6)  the outer corrosive pipeline
外腐蚀管道
1.
Finite element analysis of the glass fiber reinforced plastic of the outer corrosive pipeline;
外腐蚀管道玻璃钢补强有限元分析
补充资料:波导通信(见毫米波通信)


波导通信(见毫米波通信)
wave guide communication

  bodao tongxin波导通信(wave guide communieation)见毫米波通信。
  
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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