Predictive equations for drift ratio and damage assessment of RC shear walls using surface crack patterns

Momeni, Hamed; Dolatshahi, Kiarash M.

doi:10.1016/j.engstruct.2019.04.018

Cited by 41 publications

(41 citation statements)

References 21 publications

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“…Statistics of parameters in predictive stiffness model of Equation [24,25] F I G U R E B 2 Fractal spectrum for different patterns of specimen SW6 [24,25]…”

Section: T a B L E Amentioning

confidence: 99%

Strength and stiffness estimation of damaged reinforced concrete shear walls using crack patterns

Madani

Dolatshahi

2020

Struct Control Health Monit

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Summary The purpose of this paper is to estimate the stiffness and strength of damaged rectangular reinforced concrete shear walls after an earthquake using surface crack patterns. Assessing the damage severity of buildings after an earthquake is an important part of the emergency inspection operation of buildings. Expert inspectors tag buildings into two categories of safe or unsafe that are usually affected by subjective decisions, which may result in catastrophic events reported in previous earthquakes. In this research, an extensive database on the images of damaged rectangular reinforced concrete shear walls (RCSWs) is collected and used to develop predictive equations for updated stiffness and strength of damaged walls. Based on the crack patterns extracted from images of the shear walls in different loading states, empirical relationships for predicting reserved strength and stiffness of damaged RCSWs are proposed. These equations are developed based on the fractal quantities of surface crack patterns and structural data for various possible scenarios using symbolic and Bayesian regression. Finally, a damage index is proposed based on the crack pattern of RCSWs that can be used for automated post‐earthquake evaluation of buildings.

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“…Statistics of parameters in predictive stiffness model of Equation [24,25] F I G U R E B 2 Fractal spectrum for different patterns of specimen SW6 [24,25]…”

Section: T a B L E Amentioning

confidence: 99%

Strength and stiffness estimation of damaged reinforced concrete shear walls using crack patterns

Madani

Dolatshahi

2020

Struct Control Health Monit

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“…Such procedure has been followed in the previous studies for obtaining the fractal dimensions. 33,34,[36][37][38][39][40][63][64][65][66][67][68] To this end, a scaling factor of 20 pixels for 1 cm was considered, and the cracks were digitized using a line with a one pixel thickness. Noteworthy to mention that according to Equation 2, the scaling factor of centimeter to pixels used for regenerating the images does not affect the multifractal dimensions values.…”

Section: Multifractal Dimensionmentioning

confidence: 99%

Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns

Hamidia

Ganjizadeh

2022

Structural Contr & Hlth

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In this paper, a methodology is developed for seismic damage identification of non-ductile reinforced concrete moment frames using surface crack images. A comprehensive database comprising 264 surface crack patterns from quasistatic test results of 61 non-ductile beam-column joint specimens at various damage levels is collected. The database covers a broad range of structural and geometric properties. Multifractal dimensions of the column and joint regions of damaged beam-column subassembly images are obtained and used as the complexity and irregularity index of the surface crack patterns. Predictive equations are developed that estimate the peak drift ratio during an earthquake using the multifractal dimensions of surface crack patterns. Six scenarios are considered for obtaining the predictive equations. The developed empirical equations rely on the multifractal dimensions along with the structural properties of the non-ductile beam-column joint. The peak drift ratio estimated by the proposed methodology can finally be used as the input engineering demand parameter to the existing fragility curves in the literature to identify the probability of exceedance from damage states of non-ductile reinforced concrete moment frames.

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“…In case of indirect crack measurement the outcomes received from digital image correlation (DIC) where the spatial variation in pixel values in the original and final deformed state are tracked by finding the relation between their neighbouring pixels. [7][8] As both of these methodologies need a very high resolution camera for extracting the crack patterns so camera sensors should have high resolution. As present methodologies are using the pixel values for finding the crack parameters for the existing structures.…”

Section: Introduction a Developmentmentioning

confidence: 99%

Crack Monitoring in the Welding Parts of Different Alloys of Aluminium using Digital Image Correlation

Hanief¹

2021

IJRASET

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Welding joints are directly or indirectly prone to different stress and strain damages. During the test performance of welding material the crack appears and these cracks continue to grow and then move from one surface region to another region. This load is continued to apply till the test fails. It is done to check the strength limit of the welded part. Also it is not easy to find the starting point where the cracks start to appear. There are various ways or techniques to find the cracks in the welded parts during the load tests. It includes ultrasound, thermography and use of strain gauges etc. In this dissertation work a procedure for finding cracks in the welded parts after performing certain strength tests utilizing digital image correlation (DIC) method is proposed. The main benefit of this method is that one can find the cracks of macroscopic category and also monitoring can be done during performing of tests. Here digital images are captured during the different load cycles. As load applied is more than the strength of material cracks start appear to visible. So it is possible to find and detect the location of crack on the welded part. Since the digital images are stored in the database so it becomes easier for verification and comparison. This test is performed only for the cracks present on the surface of the welded material.I.

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Predictive equations for drift ratio and damage assessment of RC shear walls using surface crack patterns

Cited by 41 publications

References 21 publications

Strength and stiffness estimation of damaged reinforced concrete shear walls using crack patterns

Strength and stiffness estimation of damaged reinforced concrete shear walls using crack patterns

Post‐earthquake damage evaluation of non‐ductile RC moment frames using surface crack patterns

Crack Monitoring in the Welding Parts of Different Alloys of Aluminium using Digital Image Correlation

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