Node-Dependent Kinematics Approach for Damage Analysis of Reinforced Concrete Structures

Modeling damage behavior in engineering structures is vital, but balancing computational efficiency and accuracy presents a significant challenge. This study introduces an advanced higher-order beam model incorporating a node-dependent kinematics approach, enhancing the efficiency of damage analysis in reinforced concrete structures. The proposed beam model is built in the framework of Carrera Unified Formulation, enabling a three-dimensional displacement field from a one-dimensional beam model via variable cross-sectional expansion functions. The node-dependent kinematics approach allows diverse cross-sectional kinematics at different nodes on the same beam element. Therefore, a customized approach can be applied where critical areas susceptible to localized damage utilize Lagrange polynomials and a Component-Wise approach for detailed analysis, while noncritical zones apply lower-order Taylor polynomials to reduce computational resources. The model incorporates a modified Mazars damage model for concrete and von Mises plasticity for steel. Four numerical assessments show that the proposed beam model with node-dependent kinematics can maintain accuracy while reducing degrees of freedom by 35%–60% compared to fully refined models with Lagrange polynomials. Moreover, the node-dependent kinematics only require simple adjustments to the cross-sectional kinematics as necessary without extensive mesh refinement. This scalability significantly simplifies the tuning process of beam models for practical applications.

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Publication Details

Journal
Journal of Structural Engineering
Published
2025-05-23
DOI
https://doi.org/10.1061/jsendh.steng-13729
Citations
1
Primary Topic
Structural Response to Dynamic Loads
Type
article
Field-Weighted Citation Impact
0.95
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article

Node-Dependent Kinematics Approach for Damage Analysis of Reinforced Concrete Structures

Enrico Zappino, Erasmo Carrera, A. Pagani, M.R.T. Arruda et al.
1 citations
Journal of Structural Engineering
Structural Response to Dynamic Loads
0.95
article

Node-Dependent Kinematics Approach for Damage Analysis of Reinforced Concrete Structures

Enrico Zappino, Erasmo Carrera, A. Pagani, M.R.T. Arruda, Marco Petrolo, R. Augello, Jiahui Shen
article en
1 citations

Abstract

Modeling damage behavior in engineering structures is vital, but balancing computational efficiency and accuracy presents a significant challenge. This study introduces an advanced higher-order beam model incorporating a node-dependent kinematics approach, enhancing the efficiency of damage analysis in reinforced concrete structures. The proposed beam model is built in the framework of Carrera Unified Formulation, enabling a three-dimensional displacement field from a one-dimensional beam model via variable cross-sectional expansion functions. The node-dependent kinematics approach allows diverse cross-sectional kinematics at different nodes on the same beam element. Therefore, a customized approach can be applied where critical areas susceptible to localized damage utilize Lagrange polynomials and a Component-Wise approach for detailed analysis, while noncritical zones apply lower-order Taylor polynomials to reduce computational resources. The model incorporates a modified Mazars damage model for concrete and von Mises plasticity for steel. Four numerical assessments show that the proposed beam model with node-dependent kinematics can maintain accuracy while reducing degrees of freedom by 35%–60% compared to fully refined models with Lagrange polynomials. Moreover, the node-dependent kinematics only require simple adjustments to the cross-sectional kinematics as necessary without extensive mesh refinement. This scalability significantly simplifies the tuning process of beam models for practical applications.

Journal of Structural EngineeringVol. 151(8)
Politecnico di Torino (IT), National Laboratory for Civil Engineering (PT)
Sustainable cities and communities
Openalex Percentile: Top 26%
Structural Response to Dynamic Loads
0.95
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