A generalized model of lead rubber bearing considering large strain stiffening and degradation

Chen, Peng; Wang, Bin; Zhang, Zhanhong; Li, Tao; Dai, Kaoshan

doi:10.1016/j.engstruct.2022.115264

Cited by 20 publications

(22 citation statements)

References 28 publications

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“…More recently, Chen et al 18 proposed an analytical LRB model based on a generalized Bouc-Wen model that captured the stiffening characteristics of rubber at large strains and its strength degradation properties under large strains which was verified using experimental results. Their generalized model captured the LRB properties under large cyclic strains, which could limit bearing deformation but increase shear force significantly under strong earthquakes.…”

Section: Existing Lrb Analytical Modelsmentioning

confidence: 95%

“…Rubbers show a linear behavior under low-to-moderate shear strains, while they exhibit a hardening effect under high-shear strains. 3,[16][17][18] Rubber hardening and softening unloading effects are observed in LRBs under large shear strains. 19 Based on the observations from past experimental studies, levels of shear strains are classified into the following three categories: strain level below 250% is defined as low shear strain, moderate strain is between 250% and 350%, and above 350% strain level is classified as high shear strain.…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, large LRBs have been tested under a variety of characterization tests involving up to 500% shear strain without failing, showing a number of nonlinear behaviors including rubber hardening, unloading effects, strength degradation due to lead core heating, and initial lead hardening. 2,3,18 A brief overview of different analytical models of LRBs along with their features and limitations is provided in Section 2.…”

Section: Introductionmentioning

confidence: 99%

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An advanced rate‐dependent analytical model of lead rubber bearing

Aghaeidoost,

Billah

2024

Earthq Engng Struct Dyn

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Lead rubber bearings (LRBs) are a type of isolation bearing that have a combination of rubber and lead as the main components. These bearings are widely used in bridges, buildings, and other important structures due to their high load‐carrying capacity and excellent energy dissipation capability. However, the behavior of LRBs is complex and nonlinear, making it difficult to predict their behavior and performance under different loading conditions. The objective of this research is to develop a comprehensive analytical model of LRBs that can accurately predict their behavior under low to large levels of strain. The proposed model considers nonlinearity, hysteresis, stiffness, damping, and rate‐dependent behavior of LRBs. The model is also able to consider the effect of temperature on the rubber and lead components of the bearing. The developed model is validated using experimental results and is shown to provide accurate predictions of the LRB response under different strain levels. The accuracy of the developed LRB model is also validated using shake table test results of an LRB‐isolated bridge under low and large strain. This research provides a valuable tool for engineers and designers to predict the behavior and performance of LRBs and optimize their design.

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Section: Existing Lrb Analytical Modelsmentioning

confidence: 95%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An advanced rate‐dependent analytical model of lead rubber bearing

Aghaeidoost,

Billah

2024

Earthq Engng Struct Dyn

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“…There are abundant models that can simulate the behavior of the nonlinear components, among which the Bouc-Wen model with a smooth hysteresis curve is one of the most extensively used models. [38][39][40] Thus, it is adopted to express the force-displacement relationship of the nonlinear components. It can be expressed as 41…”

Section: Original Model Of General Structures With Nonlinear Componentsmentioning

confidence: 99%

“…If the structure's seismic response is determined, the axial relative velocity, displacement, and restoring force time history of each nonlinear component can be calculated. Then, the EDC and EAS parameters can be calculated according to Equations ( 39) and (40), respectively.…”

Section: Linearized Model Of General Structures With Nonlinear Compon...mentioning

confidence: 99%

The inter‐history iteration method for seismic response analysis of seismically isolated structures and its secondary development based on ABAQUS

Jia,

Li,

et al. 2023

Structural Design Tall Build

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SummaryIn seismic response analysis of seismically isolated structures (SISs), the nonlinearity is concentrated in the isolation layer while the upper structure behaves linearly, making SISs locally nonlinear systems. This paper proposed a novel seismic analysis method based on equivalent linearization (EL) and iterative solution for SISs. In this method, the equilibrium equations of an SIS are expressed by the second‐order ordinary differential equations of the structural system as well as the hysteretic force of seismic isolation bearings (SIBs). Based on EL theory, the linearized equilibrium equations of the overall system were reconstructed in which the EL parameters are derived theoretically. The inter‐history iteration (IHI) method was proposed to solve the linearized equation system and calculate the EL parameters in sequence iteratively for seismic response analysis of SISs, thus reducing computational cost without excessive loss of accuracy. In addition, the secondary development of the proposed method was programmed in ABAQUS for ease of engineering applications. Finally, the convergence and accuracy of the method were investigated through numerical simulation of an SIS case study. As the numerical investigation indicates, the proposed method considers the coupling between structural response and the EL parameters, achieving a high convergence rate and satisfactory solution accuracy. The ABAQUS secondary development program utilizes the powerful pre‐processor, post‐processor, and solvers of ABAQUS, making the IHI method more appropriate for engineering applications.

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