Recently, natural calamities such as earthquake, typhoon, or tsunami have caused great damage or loss of life all over the world. Moreover, the trend of making high-rise, mega, and nonstereotyped buildings has made the construction highly challenging....
Recently, natural calamities such as earthquake, typhoon, or tsunami have caused great damage or loss of life all over the world. Moreover, the trend of making high-rise, mega, and nonstereotyped buildings has made the construction highly challenging. Those are undefined risks which can generate unexpected load on buildings, which can inflict huge losses of both life and property. Therefore, to prepare for those uncertainties, the structural health monitoring study has been carried. The study is about monitoring the safety of building structure in advance to predict and make provision for the possibility of sudden hazard occurrence.
The core of structural stability evaluation through structural health monitoring is to assess the stress distribution and maximum stress that are generated on the structure by measuring structural response. To do this, various models of stress estimation have been developed. However, the former models demonstrate the limitations of applicability to the real structure: the restriction of models about the load shape on the structure and the assumption of idealized support condition of the structure. Especially, since the wire patch type sensor is usually used, the maintenance on the construction site is difficult. It is because the construction site needs complex installation which involves intricate cable connections between monitoring structure and data gathering system, and it also has a great deal of variability.
To overcome these listed limitations, this study suggests a new stress estimation model, which uses vision-based monitoring equipment and numerical curve fitting method. This proposed stress estimation model measures the displacement of the structure through vision-based monitoring and evaluates the deformed shape by applying cubic smoothing spline, the numerical curve fitting method. After that, the radius of curvature is calculated in compact interval by using numerical differentiation, and from this, the stress distribution and the maximum stress on the structure are evaluated.
To evaluate the applicability of a proposed model, a steel beam experiment and a Rahmen type steel-frame simulation and experiment have been conducted. Also, the comparison between the stress evaluated through this model and the stress calculated through strain sensor measurement has done. From this, it has been verified that the stress estimation within the range of having applicability is feasible. The result is that, as this stress estimation model employs vision-based monitoring, it does not involve complex cable connection between the structure and the data-collecting device, and as this stress estimation model assesses the stress by using radius curvature of deformed shape estimated from displacement information, it does not require data input of load and support conditions in case of applying to a simple structure. However, if the structure is Rahmen type steel-frame consisting rigid link, a separate process is employed to examine the influence of the rigid link in the course of estimating the deformed shape. That is, this model contains limitations in case of applying to a complex structure which requires data input of load and support conditions. Further studies are needed in order to follow up this study.