PDF interpolation technique for seismic fragility analysis of bridges

Yi, Jin‐Hak; Kim, Sang-Hoon; Kushiyama, Shigeru

doi:10.1016/j.engstruct.2006.08.019

Cited by 55 publications

(13 citation statements)

References 11 publications

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“…Curved bridges A and C exhibit similar behaviour as their straight counterparts: as the value of seismic intensity gets higher, an increase in skewness leads to higher structural response values ( [22,23] represents a damage state in which a significant plastic behaviour is present in critical column cross sections, spalling of larger surfaces of the protective coat is present, widening and propagation of cracks is also visible, but the structure is still outside of the collapse zone and vertical elements are capable of sustaining vertical loads. According to [24] this level of CDR corresponds to the limit state of significant damage.…”

Section: Analysis Of Seismic Response Of Structuresmentioning

confidence: 98%

Influence of horizontal curvature radius and bent skew angle on seismic response of RC bridges

Serdar¹,

Ulićević²,

Janković³

2017

JCE

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Influence of horizontal curvature radius and bent skew angle on seismic response of RC bridges The influence of horizontal curvature radius, bridge bents skew angle, and type of column bents, on the seismic response of bridges is studied in the paper. A total of eighteen frame-system bridges were analysed. More than 2700 nonlinear dynamic analyses were conducted for earthquake records matching a particular location by the magnitude, distance from fault, and foundation soil conditions. The response analysis shows that the system's vulnerability increases with a decrease in curvature radius.

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Section: Analysis Of Seismic Response Of Structuresmentioning

confidence: 98%

Influence of horizontal curvature radius and bent skew angle on seismic response of RC bridges

Serdar¹,

Ulićević²,

Janković³

2017

JCE

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“…The PSDM is further convolved with the column capacity model to develop the conditional probability estimate of P (CD|FC). The damage states defined by HAZUS (ie, slight, moderate, extensive, and collapse) are considered as a guideline to determine the corresponding limit values for column damage, where the limit state of column drift ratio to reach each state is selected from the study by Yi et al According to Yi et al, the median column drift ratio limits are 0.7%, 1.5%, 2.5%, and 5% for reaching slight, moderate, extensive, and complete damage states, respectively. In addition, the capacity limit states are assumed to possess lognormal distributions with a dispersion of 0.35.…”

Section: Conditional Probability Damage Models Of the Rocking Bridgesmentioning

confidence: 99%

Seismic fragilities of single‐column highway bridges with rocking column‐footing

Xie

Zhang

DesRoches

et al. 2019

Earthq Engng Struct Dyn

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Summary Rocking isolation has been increasingly studied as a promising design concept to limit the earthquake damage of civil structures. Despite the difficulties and uncertainties of predicting the rocking response under individual earthquake excitations (due to negative rotational stiffness and complex impact energy loss), in a statistical sense, the seismic performance of rocking structures has been shown to be generally consistent with the experimental outcomes. To this end, this study assesses, in a probabilistic manner, the effectiveness of using rocking isolation as a retrofit strategy for single‐column concrete box‐girder highway bridges in California. Under earthquake excitation, the rocking bridge could experience multi‐class responses (eg, full contacted or uplifting foundation) and multi‐mode damage (eg, overturning, uplift impact, and column nonlinearity). A multi‐step machine learning framework is developed to estimate the damage probability associated with each damage scenario. The framework consists of the dimensionally consistent generalized linear model for regression of seismic demand, the logistic regression for classification of distinct response classes, and the stepwise regression for feature selection of significant ground motion and structural parameters. Fragility curves are derived to predict the response class probabilities of rocking uplift and overturning, and the conditional damage probabilities such as column vibrational damage and rocking uplift impact damage. The fragility estimates of rocking bridges are compared with those for as‐built bridges, indicating that rocking isolation is capable of reducing column damage potential. Additionally, there exists an optimal slenderness angle range that enables the studied bridges to experience much lower overturning tendencies and significantly reduced column damage probabilities at the same time.

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“…The initial elastic tangent of steel is equal to E 0 = 205, 000 MPa, and the yield strength is F y = 235 MPa, the strain hardening ratio (ratio between post-yield tangent and initial tangent) is 0.01. 20 ground acceleration histories were used among the set of 60 ground motion histories selected by FEMA from the 1994 Northridge earthquake [25]. These accelerations are corresponding to the subset of 10 % exceeding probability for 50 years.…”

Section: Non-linear Frame Structurementioning

confidence: 99%

Seismic fragility curves based on the probability density evolution method

Dang

Ray

2017

Vietnam J. Mech.

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A seismic fragility curve that shows the probability of failure of a structure in function of a seismic intensity, for example peak ground acceleration (PGA), is a powerful tool for the evaluation of the seismic vulnerability of the structures in nuclear engineering and civil engineering. The common assumption of existing approaches is that the fragility curve is a cumulative probability log-normal function. In this paper, we propose a new technique for construction of seismic fragility curves by numerical simulation using the Probability Density Evolution Method (PDEM). From the joint probability density function between structural response and random variables of a system and/or excitations, seismic fragility curves can be derived without the log-normal assumption. The validation of the proposed technique is performed on two numerical examples.

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PDF interpolation technique for seismic fragility analysis of bridges

Cited by 55 publications

References 11 publications

Influence of horizontal curvature radius and bent skew angle on seismic response of RC bridges

Influence of horizontal curvature radius and bent skew angle on seismic response of RC bridges

Seismic fragilities of single‐column highway bridges with rocking column‐footing

Seismic fragility curves based on the probability density evolution method

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