Probabilistic model for failure initiation of reinforced concrete interior beam–column connections subjected to seismic loading

Mitra, Nilanjan; Mitra, Sophie; Lowes, Laura N.

doi:10.1016/j.engstruct.2010.09.029

Cited by 20 publications

(23 citation statements)

References 24 publications

(38 reference statements)

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“…The current model utilizes basic geometric and material parameters as independent covariates, whereas the Mitra et al (2011) model uses demand parameters (which are complex functions of geometric and material parameters) as independent covariates. Therefore, the current model is more user-friendly and developed primarily for use by practicing engineers.…”

Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

“…The current model differs from the model by Mitra et al (2011) in the selection of the independent covariates. The current model utilizes basic geometric and material parameters as independent covariates, whereas the Mitra et al (2011) model uses demand parameters (which are complex functions of geometric and material parameters) as independent covariates.…”

Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

“…(4) shows. Mitra et al (2011) have described the details of the methodology and the authors of this paper briefly describe it for the sake of completeness. The discrete qualitative event, Y, refers either to joint shear failure before beam yielding (marked by Event 1) or to beam yielding before joint failure (marked by Event 0).…”

Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

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Prediction of Inelastic Mechanisms Leading to Seismic Failure of Interior Reinforced Concrete Beam–Column Connections

Mitra

Samui

2012

Pract. Period. Struct. Des. Constr.

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Inelastic mechanisms leading to failure in interior reinforced concrete beam-column (RCBC) connections, designed on the concept of strong column-weak beam philosophy, primarily result from failure of the joint region and yielding of longitudinal reinforcement in beams. In this manuscript, two novel easy-to-use probabilistic methodologies have been developed that can determine with sufficient accuracy the occurrence of either of these inelastic mechanisms leading to failure, given the geometric, material and loading parameters of an experimental investigation. One model was developed by using the relevance vector machine method, a machine learning methodology that uses a Bayesian formulation and results in a sparse representation. Another model was binomial logistic regression, which can relate the qualitative event of inelastic mechanism resulting in failure initiation with several experimentally obtained independent parameters. It can also quantify the relative importance of each of these independent parameters. Both methods show good predictive efficiency and can be utilized by a designer, engineer, or researcher to obtain a preliminary probabilistic estimate of inelastic mechanisms that lead to failure of interior RCBC connections. This manuscript also presents comparative evaluations of utilizing these two models.

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Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

Section: Binomial Logistic Regression Modelmentioning

confidence: 99%

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Prediction of Inelastic Mechanisms Leading to Seismic Failure of Interior Reinforced Concrete Beam–Column Connections

Mitra

Samui

2012

Pract. Period. Struct. Des. Constr.

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“…Concrete strength has been widely reported to increase shear strength because of the influence of the bond capacity of longitudinal reinforcement, which in turn is assumed to be proportional to the square root of concrete compressive strength. Shiohara identified the following as major parameters influencing bond capacity: the axial force level of the column due to the confining effect or transverse beams covering a joint, concrete cover thickness, diameter and number of bars, reinforcement yielding, and cyclic loading.Shiohara (2004) and Mitra and Lowes (2011) reported that aspect ratio, defined as the ratio of beam depth to column depth, has significant influence on joint shear strength. Higher aspect ratios result in lower shear strengths of interior and exterior beam-column joints.…”

mentioning

confidence: 99%

“…A structure can withstand strong ground waves due to earthquakes only if it possesses sufficient ability to dissipate seismic energy. The area under the load-displacement hysteresis loop represents the dissipated energy during every load cycle (Leon 1989;Shiohara 2004;Mitra and Lowes 2011). …”

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confidence: 99%

Influence of geometric and material characteristics on the behavior of reinforced concrete beam-column connections

Rallabandi¹,

Bindhu²

2017

Can. J. Civ. Eng.

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The design of reinforced-concrete moment-resisting frames and hence beam-column connections is of great importance in earthquake-prone areas. Beam-column joints, which should be sufficiently strong to resist and sustain lateral loads, are designed on the basis of the strong-column weak-beam concept so that they undergo ductile failure. The present study describes the cyclic loading performance of six interior beam-column connection specimens designed to be seismic-resistant with varying aspect ratios, concrete compressive strengths, and beam bar yield strengths. Results indicate that joint ductility and energy dissipation capacity can be enhanced by maintaining a unit aspect ratio. Moreover, joint shear strength can be improved significantly by increasing concrete compressive strength. Beam bar yield strength is observed to influence joint ductility considerably.Key words: cyclic loading, seismic analysis, beam-column connection, ductility, reinforced-concrete structures. Special moment-resisting frames are predominant in regions susceptible to moderate to high seismicity. Postearthquake investigations have indicated that beam-column connection failure in seismically detailed frames is caused by shear strength degradation and insufficient energy dissipation capacity, leading to brittle shear failure of the joints and ultimately resulting in structural collapse. Of particular concern is the inadequate strength, ductility, and energy dissipation capacity of these structures for meeting the demands of seismically induced lateral loads.Beam-column joints have become a focus of attention since 1967, when Hansen and Conner (1967) conducted the first seismic loading test on them. Beam-column joint sub-assemblages play a crucial role in the design of moment-resisting frames as they are the weakest links in the structure. Joints with sufficient shear strength dissipate energy safely without causing any serious structural damage. Such joints fail by developing a ductile beam hinge mechanism. Relevant earthquake-resistant design codes promote joint ductility by incorporating the strong-column weak-beam mechanism. This is expected to ensure the development of plastic hinges in beams at the beam-column interface while all vertical members, including walls and columns, remain elastic in order to provide maximum energy dissipation during an earthquake (Paulay and Priestley 1992; Penelis and Kappos 2010). Although earthquake-resistant structural design codes specify ductile detailing of beamcolumn connections to ensure this behavior, many cases of joint shear failure have been reported globally.Therefore, parameters influencing joint shear behavior clearly require further evaluation.Joints fail under seismic loading in three possible ways. In the first category, shear failure occurs in joints without affecting the strength of beams framing the columns. This type of failure is brittle and sudden; it must be avoided at any cost. In the second category, beams yield and fail without affecting column or joint safety. This...

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Impact of failure mode uncertainty on seismic fragility and collapse risk of buildings

Opabola,

Liel,

Elwood

2024

Earthq Engng Struct Dyn

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Laboratory tests on nominally identical reinforced concrete (RC) components have demonstrated the existence of failure mode variability and its significant impact on the strength and deformation capacity of RC components. In comparison with record‐to‐record and modeling uncertainties, the impact of failure mode uncertainty on the seismic fragility of RC structural systems has received less attention. This study presents a methodology for propagating failure mode variability in the probabilistic seismic assessment of RC structural systems. In the proposed methodology, strength hierarchy calculations are used to identify the structural system's susceptibility to failure mode variability. Subsequently, a number of segregate models corresponding to the number of failure mode combinations are developed. Nonlinear response history analyses of the segregates are used to quantify each segregate's seismic fragility and risk. Finally, the total probability theorem is used to derive the combined seismic fragility of the structure. The proposed methodology is demonstrated using an older‐type (pre‐1970s) four‐story RC frame building archetype with ground floor columns susceptible to failure mode switch between flexure‐ and flexure‐shear mechanisms. The results show that the seismic fragility and collapse risk of the RC buildings with failure mode variability significantly changes when failure mode variability is propagated. In the example, accounting for component‐level failure mode variability can shift the median collapse fragility by more than 20%. Furthermore, the collapse risk (i.e., probability of collapse in 50 years) of the archetype changed by at least 30%. Similar changes may be observed in other types of structures with significant failure mode uncertainty, not limited to RC structures.

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Probabilistic model for failure initiation of reinforced concrete interior beam–column connections subjected to seismic loading

Cited by 20 publications

References 24 publications

Prediction of Inelastic Mechanisms Leading to Seismic Failure of Interior Reinforced Concrete Beam–Column Connections

Prediction of Inelastic Mechanisms Leading to Seismic Failure of Interior Reinforced Concrete Beam–Column Connections

Influence of geometric and material characteristics on the behavior of reinforced concrete beam-column connections

Impact of failure mode uncertainty on seismic fragility and collapse risk of buildings

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