Please login first
Events About
Contact
My Submissions
Non Model Approach Based Damage Detection in RC Frame with Masonry Infill
Himakshi Bhatia
* 1 ,
Dr. Ajay Chourasia
2 ,
Dr. Shilpa Pal
3
1  Student, Structural engineering, Gautam Buddha University, Greater Noida
2  Principal Scientist, Structural Engineering Division, CBRI-Roorkee
3  Assistant Professor, Civil Engg Deptt, Gautam Buddha University, Greater Noida
Published: 16 November 2018 by MDPI in 5th International Electronic Conference on Sensors and Applications session Structural Health Monitoring Technologies and Sensor Networks
https://doi.org/10.3390/ecsa-5-05860
Abstract:

The major portion of existing infrastructure worldwide continues to be at a potential risk of failure on account of aging, corrosion and overloading principally during earthquakes. Their prolonged use beyond design service life proliferate damage that manifests itself in the form of cracks. The conventional safety evaluation techniques such as visual inspection and non-destructive test (NDT) entail time and effort and require that the vicinity of damage is known at priori and the portion of structure being inspected is readily accessible. This calls for an urgent need to facilitate real time structural assessment for early detection and diagnosis of cracks. Structural Health Monitoring (SHM) identifies damage by virtue of changes in the overall vibration response of the buildings. The paper focuses on real-time damage detection based on vibration studies accomplished by Structural Health Monitoring team of Central Building Research Institute (CBRI). The experiment was performed on the 1:3 scaled model of 6-story RC frame with masonry infill in the Building dynamics laboratory of CBRI. The forward problem is attended by inducing step-by-step damage in infill to investigate the changes in dynamic response as a result of change in physical properties of the structure. Recorded time histories are processed for Frequency Response Spectra (FRS) with Fast Fourier Transform (FFT) and mode shapes are obtained. Changes in natural frequency and modal curvature for each of the five damage cases are analyzed for damage detection and location in the structure. An Algorithm for damage identification viz. Curvature Damage Factor (CDF) approach is presented.

Keywords: Fast Fourier Transform, Frequency Response Spectra, natural frequency, Damage detection, Structural Health Monitoring
View paper
  • Open Access
  • 134 Reads
  • 1 Recommendation
Comments on this paper
Hilda Burns
8 February 2020
education
Conference is here for different aspects and we all need to survey to get more information. Thus, you have to see the best essay service that is giving the best opportunity here to give the various perspectives to learn.
Malinda baye
7 May 2020
Nicely Done
Many significant points have been written in this research paper on the Based Damage Detection which should be considered. Students like me always prefer to hire australianwritings to complete their research paper on time.I am already working on this field, therefore, this study is significant for me.
Jayceon Loe
6 June 2020
Suggestion
Non-invasive safety assessment techniques such as visual inspection and non-invasive testing (NDT) find time and effort and require that the damage area be identified as a prior and the portion of the structure that is inspected is quickly accessible. We count on http://www.dieappentwickler.ch/ . This calls for the need for speed to facilitate real-time system analysis for timely detection and inspection of cracks.


 
 
Top