• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Corrosion Science and Engineering >(v14preprint24)Neural network analysis for sacrificial cathodic protection of steel embeddedin concrete
【24h】

(v14preprint24)Neural network analysis for sacrificial cathodic protection of steel embeddedin concrete

机译：（V14Preprint24）钢嵌入式混凝土牺牲阴极保护的神经网络分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Durability of concrete significantly depends on protecting the embedded steelagainst corrosion. Among the various methods available for protecting the steel,cathodic protection is widely adopted. Effectiveness of cathodic protection the steelin concrete is determined from the potential of the steel and the current flowing tomaintain the protective potential.The measurement of the potential must be accurate to confirm the protectionof the steel. Automation of potential measurement at several points and theiraveraging will remove manual errors. To achieve this, a data acquisition system forcontinuously monitoring and measuring the potential of the steel in concrete wasdesigned. Appropriate software was also developed. Using this system, potential ofthe steel was measured on concrete slabs, with and without cathodic protection. Thissoftware included the neural network analysis for analyzing the data from theseslabs. Excellent agreement was found between the output data and the predicteddata.
机译：混凝土的耐久性显着取决于保护嵌入式钢菌腐蚀。在可用于保护钢的各种方法中，广泛采用阴极保护。阴极保护的有效性钢素混凝土由钢的潜力和电流流动的结构潜力决定。潜力的测量必须准确地确认钢的保护。几个点和Hysaveraging的潜在测量的自动化将删除手动错误。为实现这一点，数据采集系统均直接监测和测量混凝土中钢的电位。还开发了适当的软件。使用该系统，在混凝土板上测量钢的潜力，有和没有阴极保护。该软件包括用于分析来自Cheseslabs的数据的神经网络分析。输出数据和预测数据之间发现了良好的协议。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号