Seismic energy demands and optimal intensity measures for continuous concrete box-girder bridges

Eslamnia, Hadi; Malekzadeh, Hoodean; Jalali, S. Alireza; Moghadam, Abdolreza S.

doi:10.1016/j.soildyn.2022.107657

Cited by 7 publications

(12 citation statements)

References 36 publications

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“…The selected bridge type for this study is the multi-span single-frame continuous concrete box-girder (MSCC-BG) formerly used in Malekzadeh et al [28] and Eslamnia et al [29]. It is estimated that roughly 37% of bridges located in California belong to the MSCC-BG category, based on the National Bridge Inventory (NBI) [39] and datasets of statewide bridges released by the California Department of Transportation (Caltrans).…”

Section: Considered Bridge Modelsmentioning

confidence: 99%

“…Fig. 1 Typical cross-sections of the analyzed bridges [28,29] A displacement-based beam-column model was adopted to simulate plastification progression for column elements (eight segments were modeled for each column), with steel and concrete constitutive models allocated to each fiber. In order to account for the geometry of the deck depth, the bridge design incorporates rigid components to link the columns to the deck.…”

Section: 1analytical Bridge Modelsmentioning

confidence: 99%

“…Fig. 2 A graphical 3D view of the three-column bridge modeled in OpenSees [28,29] The bridge deck often remains elastic during seismic events. The superstructure has been characterized in the analysis by utilizing elastic beam-column elements.…”

Section: 1analytical Bridge Modelsmentioning

confidence: 99%

“…As a result, velocity spectrum intensity related to horizontal ground motion (VSIH) and PGVH were suggested as optimal IMs. Finally, Eslamnia et al [29] investigated the allocation of seismic input energy )Ei) and other energy-related demands regarding near-field earthquake characteristics for continuous concrete box-girders bridges. They examined the distribution of various seismic energy-related demands in the global and member-based case studies, and optimal IM candidates for establishing PSDMs were revealed.…”

Section: Introductionmentioning

confidence: 99%

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RETRACTED: Probabilistic seismic demand model for Continuous Concrete Box-Girder Bridges Considering Hysteretic Energy and Residual Demands

Malekzadeh,

Eslamnia,

Moghadam

2024

Preprint

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Energy-based seismic design is an innovative structural design approach that systematically considers the energy-related demands of ground motion to analyze and design structures. An energy-based paradigm in seismic design is vitally relevant for structural systems in near-field areas. This research investigates the seismic behavior of three multi-span continuous concrete box-girder bridges (MSCC-BG) subjected to 328 ground motions from pulse-like and no-pulse databases using the OpenSees framework. It examines twenty-eight energy-related, residual, and displacement-based demands and thirty-six intensity measures (IMs) related to horizontal and vertical earthquake components. The study discusses the correlation between these demands and various IMs, identifying the most affected demands in each category, particularly under pulse-like earthquakes. Additionally, a multivariable probabilistic seismic demand model (PSDM) is developed for critical demands such as column hysteretic energy (EhColumn) and column residual drift ratio (RDRCol) using Lasso and Step-wise regression. The resulting model enhances prediction accuracy compared to single-IM PSDMs, while acceleration-related IMs play a more significant role. The research emphasizes the necessity of incorporating horizontal and vertical ground motion-related IMs in empirical equations to predict seismic demands precisely.

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Section: Considered Bridge Modelsmentioning

confidence: 99%

Section: 1analytical Bridge Modelsmentioning

confidence: 99%

Section: 1analytical Bridge Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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RETRACTED: Probabilistic seismic demand model for Continuous Concrete Box-Girder Bridges Considering Hysteretic Energy and Residual Demands

Malekzadeh,

Eslamnia,

Moghadam

2024

Preprint

View full text Add to dashboard Cite

show abstract

“…However, previous data-driven seismic damage assessment of structures commonly employed lower-dimensional combinations of IMs. [32][33][34] This is because the majority of studies only suggest a single optimal IM, [35][36][37][38] constrained by the fact that linear regression model is built based on individual IM. Even the recommendation of optimal multiple IMs still depends on the ranking of selection criteria for each IM.…”

Section: Introductionmentioning

confidence: 99%

Feature selection of ground motion intensity measures for data‐driven surrogate modeling of structures

Ding,

Feng

2023

Earthq Engng Struct Dyn

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In the probabilistic seismic performance assessment of structures, intensity measures (IMs) represent seismic characteristics and variations. Traditional fragility analysis method based on the assumption of linear regression requires selecting an optimal IM as input variable. By introducing machine learning (ML) techniques, nonparametric fragility analysis theoretically allows for considering all potential IMs as inputs. Nevertheless, to reduce input dimensionality and improve training efficiency, the feature selection of IMs remains imperative. This paper proposes a method to select optimal ground motion IMs for data‐driven surrogate modeling of structures. Specifically, the elastic net algorithm is employed to select the optimal multiple IMs based on the coefficient of determination and regression coefficient, differing from the efficiency and practicality emphasized in the traditional method. Using the optimal multiple IMs as input variables, several ML techniques are employed to construct surrogate models for seismic damage assessment of structures, thereby developing fragility functions, that is, the conditional probability of exceeding a damaged state given seismic intensity. A 3‐span, 6‐storey, reinforced concrete frame is utilized to illustrate the proposed methodology. The predictive performance of all ML models with the optimal multiple IMs outperforms that of the models with the commonly used IM (e.g., peak ground acceleration, PGA) as sole input and all candidate IMs as inputs. Additionally, the surrogate models with the optimal multiple IMs enable a more comprehensive seismic fragility modeling of structures under two or more IMs simultaneously, such as the fragility surface under spectral acceleration at 1.0s (Sa‐1.0s) and velocity spectrum intensity (VSI).

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Correlation between seismic intensity measures and engineering demand parameters of reinforced concrete frame buildings through nonlinear time history analysis

Pinzón,

Hidalgo-Leiva,

Alva

et al. 2023

Structures

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Seismic energy demands and optimal intensity measures for continuous concrete box-girder bridges

Cited by 7 publications

References 36 publications

RETRACTED: Probabilistic seismic demand model for Continuous Concrete Box-Girder Bridges Considering Hysteretic Energy and Residual Demands

RETRACTED: Probabilistic seismic demand model for Continuous Concrete Box-Girder Bridges Considering Hysteretic Energy and Residual Demands

Feature selection of ground motion intensity measures for data‐driven surrogate modeling of structures

Correlation between seismic intensity measures and engineering demand parameters of reinforced concrete frame buildings through nonlinear time history analysis

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