Fragility functions for low aspect ratio reinforced concrete walls

Gulec, C. Kerem; Whittaker, Andrew S.; Hooper, John

doi:10.1016/j.engstruct.2010.05.008

Cited by 30 publications

(7 citation statements)

References 8 publications

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“…Flanged walls are more susceptible to diagonal compression failure than rectangular walls. Axial forces will help to limit the crack widths in a squat wall, which increases peak shear strength [4,6,7,61]. However, large axial forces also increase substantially the compressive stresses in the web of the wall and contribute to a diagonal compression failure.…”

Section: Horizontal and Vertical Mechanismsmentioning

confidence: 99%

Shear strength of squat walls: A strut-and-tie model and closed-form design formula

Kassem

2015

Engineering Structures

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Section: Horizontal and Vertical Mechanismsmentioning

confidence: 99%

Shear strength of squat walls: A strut-and-tie model and closed-form design formula

Kassem

2015

Engineering Structures

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“…This implies that the intensity values of the ground motions that cause a particular building to reach or exceed a given performance level (e.g., CP) are lognormally distributed, which is a reasonable assumption that has been confirmed in a number of observed cases, according to Baker (2015). Previous research has shown that vulnerability functions can effectively quantify the seismic vulnerability of structures (Aslani and Miranda 2005, Brown and Lowes 2007, Gulec et al 2010, Pagni and Lowes 2006, Sengupta and Li 2015).…”

Section: Methodsmentioning

confidence: 87%

Fragility Functions for RC Shear Wall Buildings in Australia

2019

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This research investigates the development of analytical fragility functions for reinforced concrete shear wall buildings in Australia. A building stock for the city of Melbourne is used in conducting an assessment of these types of structures. The assessment uses the best information available for selecting the building parameters applicable to the low-to-moderate seismic region, site soil class, expected earthquake ground motions, and site response. The capacity spectrum method is used to derive vulnerability functions for low-, mid-, and high-rise reinforced concrete shear wall buildings. Although there is a paucity of earthquake damage data available in Australia, some comparisons are made using the results from the fragility functions derived here to the damage data from the Newcastle earthquake in 1989.

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“…Herein, some examples of data‐driven studies for deriving fragility functions are reviewed. In 2009, Gulec and Whittaker 28 derived fragility models for the damage assessment of low‐rise RCSWs. The proposed fragility functions were later used as the background document for FEMA P‐58 27 .…”

Section: Introductionmentioning

confidence: 99%

Three‐dimensional fragility surface for reinforced concrete shear walls using image‐based damage features

Asjodi

Dolatshahi

Burton

2023

Earthq Engng Struct Dyn

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This paper proposes a new data-driven method to generate three-dimensional fragility surfaces for post-earthquake damage assessment of reinforced concrete (RC) shear walls (SWs) using image-based damage features. A research database comprised of 212 images corresponding to 66 damaged reinforced concrete shear walls tested under quasi-static cyclic loads is utilized. The walls are categorized into three damage states defined based on different load points along the backbone curve. Convolutional kernel-based filters are then employed to measure the crack patterns and crushed areas from images of the damaged walls. A set of 360,000 sub-cracks from the 212 images is analyzed using Gaussian mixture modeling to distinguish between shear and flexural cracking. These two types of cracking, along with crushing, are the prominent characteristics used to determine the damage states of the RCSWs. The extracted features of shear and flexural cracking are also compressed into a unique cracking index using the Principal Component Analysis theory for dimensionality reduction. Using the compressed feature of cracking and crushing, a new methodology for generating three-dimensional fragility surfaces, entitled the Box-counting method, is introduced, and the damage surfaces are developed based on visual damage features. The damage surfaces are finally formulated using statistical models or machine learning regression learners. The proposed fragility surface can be used for postearthquake damage state identification, risk assessment, and loss estimation of damaged RCSWs.

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Fragility functions for low aspect ratio reinforced concrete walls

Cited by 30 publications

References 8 publications

Shear strength of squat walls: A strut-and-tie model and closed-form design formula

Shear strength of squat walls: A strut-and-tie model and closed-form design formula

Fragility Functions for RC Shear Wall Buildings in Australia

Three‐dimensional fragility surface for reinforced concrete shear walls using image‐based damage features

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