以辨析表观破损潜在信息为辅助手段的在役混凝土结构状态分析与评估

项目名称： 以辨析表观破损潜在信息为辅助手段的在役混凝土结构状态分析与评估

项目编号： No.50878211

项目类型： 面上项目

立项/批准年度： 2009

项目学科： 轻工业、手工业

项目作者： 卫军

作者单位： 中南大学

项目金额： 37万元

中文摘要： 借助快速发展的数字成像技术和计算机图像处理技术，实现对混凝土结构因开裂破损所形成的表面裂缝图像的远距离采集，并通过一系列数字图像处理算法对裂缝特征（如宽度、长度等）进行检测，最终形成一套混凝土裂缝特征信息识别的软件，为结构的状态评估提供有效参数。结合理论和试验研究，建立混凝土梁表观开裂程度与力学性能对应的关系模型，并对此构件状态评估过程进行软件实现。运用分形几何学理论对混凝土梁表面裂缝进行解析，研究裂缝的分形特征，试验结果表明分形特征与构件性能具有较好相关关系。基于Bayes理论和裂缝检测信息，及考虑收缩、徐变和疲劳损伤等因素对结构的影响，实现对在役桥梁的服役状态的评估。通过本项目的研究，实现了对结构表观破损的快速检测及状态分析的一体化分析方法体系，为在役结构状态快速及准确的评估提供有效的方法。

中文关键词： 裂缝；图像处理；检测；评估；分形特征；

英文摘要： With the rapid development of digital imaging technology and computer image processing technology, images of surface cracks caused by the concrete structure damage are acquired at a long distance, and features of the crack which include length, width and so on are obtained by using a series of image processing algorithm. Finally, the software which can identify information of crack feature is developed and it can provide effective parameters for the evaluation of structure's state. Based on the theoretical and experimental research, the relationship of apparent cracking degree and mechanical properties of concrete beam is established, and the software is compiled to achieve the process of structure condition assessment. Fractal geometry theory is used to analyze the surface cracks of beams, cracks fractal characteristics is studied and the results show that there is a good correlation between fractal characteristics and member performance. On the basis of Bayes theory and crack detection information, taking the influence factors including shrinkage, creep and fatigue into consideration, the service state of existing bridges can be evaluated. Through the research of this project, the integrated system of analysis method for the rapid detection of apparent damage and the state analysis can be implemented, and it provides an effective method for the rapid and accurate evaluation of existing structure's state.

英文关键词： crack; image processing; detection; evaluation; fractal characteristics;