Abstract

The study proposes a new method to assess the bending stiffness distribution in plate- and slab- like reinforced concrete (RC) structures based on spatially distributed strain data. Specifically, the study aims to provide an adequate structural interpretation of the readings, which infers the structural health. It is especially relevant for RC structures, that are designed to be cracked during their service life. To meet this goal the study correlates damage induced by cracks and curvature computed from strains to analyze 2D RC structures characterised by directional strains, and moment redistribution. The study also considered the installation possibilities and the limited and thus averaged strain data. To exclusively correlate changes in curvatures, by means of curvature index factors, and residual bending stiffness distribution, the study proposed an iterative identification algorithm. The paper demonstrates the effectiveness of the algorithm by numerical simulations of strain measurements and considers the various limitations of the adopted strain measurements along large 2D RC structures. It is presented that the procedure succeeds in localising the damaged regions and provides less accurate, but still contributive, assessment of their severity. Thus, the proposed method can support engineers in decision making regarding the structural health of the structure.

摘要

研究提出了一种基于空间分布应变数据评估板状和板状钢筋混凝土（RC）结构的弯曲刚度分布的新方法。具体而言，该研究旨在为读数提供适当的结构解释，从而推断结构的健康状况。它对于设计成在使用寿命期间会破裂的RC结构尤其重要。为了达到这个目标，本研究将由应变计算出的裂纹和曲率引起的损伤进行关联，以分析以方向应变为特征的二维RC结构以及弯矩重新分布。研究还考虑了安装的可能性以及有限的平均应变数据。为了通过曲率指标因子和残余弯曲刚度分布专门关联曲率变化，该研究提出了一种迭代识别算法。本文通过应变测量的数值模拟证明了该算法的有效性，并考虑了沿大型2D RC结构采用的应变测量的各种局限性。结果表明，该程序可以成功定位受损区域，并提供对其严重性的较不准确但仍有助于评估的结果。因此，所提出的方法可以支持工程师进行有关结构的结构健康的决策。结果表明，该程序可以成功定位受损区域，并提供对其严重性的较不准确但仍有助于评估的结果。因此，所提出的方法可以支持工程师进行有关结构的结构健康的决策。结果表明，该程序可以成功定位受损区域，并提供对其严重性的较不准确但仍有助于评估的结果。因此，所提出的方法可以支持工程师进行有关结构的结构健康的决策。