首页> 外文期刊>International Journal of Sustainable Materials and Structural Systems >Uncertainty quantification of thermal image-based concrete diagnosis
【24h】

Uncertainty quantification of thermal image-based concrete diagnosis

机译:基于热图像的混凝土诊断不确定度量化

获取原文
获取原文并翻译 | 示例
           

摘要

This paper investigates uncertainty quantification in internal damage diagnosis in concrete based on thermal imaging. Thermal imaging can be used for detection, localisation, as well as quantification of the damage. The proposed methodology for uncertainty quantification aggregates various sources of uncertainty introduced at each step of image processing. Further, global sensitivity analysis is applied to identify the dominant contributors to diagnosis uncertainty. Based on the results of uncertainty quantification and global sensitivity analysis, a Bayesian technique is formulated to identify the optimal values of parameters to be selected at each step of the image processing, in order to minimise the uncertainty in diagnosis. An illustrative example of damage diagnosis of a concrete slab is used to examine the effectiveness of the proposed uncertainty quantification and parameter selection methods.
机译:本文研究了基于热成像的混凝土内部损伤诊断中的不确定性量化。热成像可用于检测,定位以及损坏的量化。所提出的不确定性量化方法论汇总了在图像处理的每个步骤中引入的各种不确定性来源。此外,应用全球敏感性分析来确定导致诊断不确定性的主要因素。基于不确定性量化和全局灵敏度分析的结果,制定了一种贝叶斯技术以识别在图像处理的每个步骤中选择的参数的最佳值,以最大程度地减少诊断中的不确定性。一个混凝土板损伤诊断的说明性例子被用来检验所提出的不确定性量化和参数选择方法的有效性。

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