440 Structural Health Monitoring and Evaluation of Damping Characteristics in Liberty Tower Based on Measurement Data

Kikunaga, Yuuta; Arakawa, Toshiharu

doi:10.1299/jsmedmc.2011._440-1_

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Various studies on SHM have been carried out. For example, one measured the vibration of the structure against earthquakes and deterioration to assess its health (Watabe and Omori, 2015); another monitored the influence on structural health by earthquake using MEMS vibration sensors (Sakaue et al, 2015); there was a study to evaluate structural defects by artificially exiting the structure (Nakamura et al, 2013); and yet another determined changes in natural frequencies and damping ratio by constantly measuring ambient vibration by wind (Kikunaga and Arakawa, 2011). Furthermore, there is ongoing research to detect the damage on beams by wavelet transformation (Wu and Wang, 2011), and the Fiber Bragg Grating (FBG) sensor (Chung andKang, 2008, Hong et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Structural health monitoring of layered structure by strain measurements

Kawamura

Miyagi

Ise

et al. 2019

Mechanical Engineering Journal

View full text Add to dashboard Cite

Structural health monitoring (SHM) of building structures is a very important technology in the effort to realize a sustainable society. Various studies on SHM have been carried out, and it is effective because it avoids accidents and predicts behaviour of structures. In this study, we proposed a method of SHM for a layered structure, in which the abnormal layer of the structure was identified by strain measurement. The main point of the study is that rotational degrees of freedom are constrained at both ends of the wall, so that the wall of each layer vibrates individually. First, in the normal condition, a location where the strain is almost zero on the outer wall of each layer is specified, and the strain at that point is constantly measured. Then, when an abnormality occurs in a certain layer, a significant value of strain appears in the abnormal layer where the strain is originally zero. We verify the proposed method by numerical simulation. We consider a three-layered structure, modelled as a cantilever beam. Abnormality is assumed to be the decrement of stiffness at a certain element, and it was shown that the effect of abnormality appeared throughout the structure in the natural vibration mode while it appeared locally in the strain measurement. The random response was then calculated by numerical integration, and the layer where the abnormality occurred could be identified by using the proposed method. Finally, we checked the applicability of the proposed method by experiment. As a result, it was shown that the method was possible to identify the layer where an abnormality occurred as well as numerical simulation.

show abstract