Hysteresis model for beam-to-column connections of steel storage racks

Jovanović, Đorđe; Žarković, Drago; Vukobratović, Vladimir; Brujić, Zoran

doi:10.1016/j.tws.2019.04.056

Cited by 23 publications

(10 citation statements)

References 33 publications

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“…Gusella, Lavacchini, et al [11] and Lyu et al [19] did cyclic testing to investigate the response of the joint in seismic zones. Jovanović et al [7] also proposed a constitutive model which could be used for the simulation of the cyclic fatigue and pinching behavior of RCB.…”

Section: Cyclic Testingmentioning

confidence: 99%

“…Jovanović et al [7] highlighted the purpose of three different connected positions (beam welded at the top, middle, bottom of the beam end connector) of the stub beam to the beam end connector by welding.…”

Section: Influence Of the Welding Position Of The Beam To Beam End Connectormentioning

confidence: 99%

“…Therefore, finite element modeling is the best solution to replace the need for the repeated experiments. There is a limited number of numerical studies on the RCB and the steel beam-column joint in previous years [2][3][4][5][6][7] and some experimental studies on the joint connection of RCB [8][9][10][11], but few studies have been done on the response of teardrop connections of RCB. This paper presents a comprehensive review on the teardrop connection, summarizing the methods for the determination of the properties of the connection, and describes the parametric studies.…”

Section: Introductionmentioning

confidence: 99%

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Investigation on Teardrop Connection of Rack Clad Building

Hoque¹,

Peng²,

Alam³

2021

International Conference on Civil, Structural and Transportation Engineering

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A rack clad building (RCB) is a kind of storage system where the raking forms part of the structure. The larger size of the RCB structure makes it dissimilar to the typical storage system. To enhance the lateral stability and the moment capacity in the unbraced down aisle direction, different types of connections are used in the rack clad building history. Teardrop connection which is one of the connection systems of the RCB, is a boltless connection where tabs used as connectors, are entered into the perforated hole of the cold formed column. The moment capacity, rotational stiffness, rotational capacity of the teardrop connection are the parameters that determine the efficiency in controlling the sway limitation in the down-aisle direction. There is limited research on the investigation of the mechanical behaviors and the design of teardrop connections. On this account, it is imperative to disclose the vital parameters related to the performance of the connector. This paper reviews the existing methods such as different types of experimental studies, finite element analysis, analytical model, component method which are used in determining the stiffness and the capacity of the connection. Finally, the influence of the geometric characteristics of the components such as thickness of the column, height of the beam, number of tabs, welding position of the beam to beam end connector, on the performance of the joint, has been presented in this paper.

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Section: Cyclic Testingmentioning

confidence: 99%

Section: Influence Of the Welding Position Of The Beam To Beam End Connectormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Investigation on Teardrop Connection of Rack Clad Building

Hoque¹,

Peng²,

Alam³

2021

International Conference on Civil, Structural and Transportation Engineering

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“…It was found that the stiffness of the specimens was on the verge of that in the experimental result even though the ultimate moment capacity of the connection obtained from the FE model for specimen was slightly higher than that from the experiments. is is because the imperfections from material and fabrication are not considered by the FE model [1]. Moreover, due to the assembly defect between rivets and columns and the small applied load at the initial stage of the test, there is a deviation between the two M-θ curves near the origin.…”

Section: Validation Of the Fe Modelmentioning

confidence: 99%

“…Of all the members in the SPR, the beam-to-column connections (BCCs) constitute the most critical part of the assembly which largely determines the overall stability of SPR in the down-aisle direction [1]. e details of the boltless BCCs with the three rivets mostly used in industrial racking system are shown as an example in Figure 2.…”

Section: Introductionmentioning

confidence: 99%

Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental‐FEM‐SVM Methodology

Lyu

Zhao

et al. 2020

Advances in Civil Engineering

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Due to many differences in the material, geometry, and assembly method of the commercially available beam-end-connectors in steel storage pallet racks (SPR), no common numerical model has been universally accepted to accurately predict the M–θ behavior of complex semirigid connections so far. Despite the fact that the finite element method (FEM) and physical experiment have been used to obtain the mechanical performance of beam-to-column connections (BCCs), those methods have the disadvantages of high computational complexity and test cost. Taking, for example, the boltless steel connections, this paper proposes a data-driven simulation model (DDSM) that combines the experimental test, FEM, and support vector machine (SVM) techniques to determine the bending strength of BCCs by means of data mining from the engineering database. First, a three-dimensional (3D) finite element (FE) model was generated and calibrated against the experimental results. Subsequently, the validated FE model was further extended to perform parametric analysis and enrich the engineering case base of structural characterization of BCCs. Based on the M–θ curve of the FE simulation, support vector machines (SVMs) were trained to predict the flexural rigidity of beam-to-column joints. The predictive power of the SVM algorithms is estimated by comparison with traditional ANN models via the root mean square error (RMSE), the mean absolute percentage error (MAPE), and the correlation coefficient R. The results obtained indicate that the SVM algorithms slightly outperform the ANN algorithms, although both of them are in good agreement with FEM and physical test. From the point of view of engineering application, DDM is able to provide much more effective help for structural engineers to make rapid decisions on steel members design.

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Fire‐Induced Collapse of Automated Rack‐Supported Warehouses

Mei,

Orlando,

Salvatori

et al. 2023

ce papers

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Automated self‐supporting rack warehouses are becoming increasingly common in the international logistics sector. Their static and seismic design has been studied in the literature; however, the fire design still needs to be improved. Some Standards, such as the Eurocodes or Italian Fire Code, accept the collapse of rack warehouses during fires but require avoiding a progressive collapse or obtaining an implosive collapse regardless of any other active or passive fire protection systems. A hierarchy that guides the kinematics of collapse needs to be defined appropriately but without any Code going into further details. Moreover, the scientific literature focuses more on optimizing fire protection systems for racks, such as sprinklers, rather than preventing fire‐induced progressive collapse. Here, a case study is presented, which, using finite element modelling, provide a first robustness evaluation and highlights some possible aspects to be considered in the structural design to avoid a progressive collapse in the event of a fire. The analyses are performed using the LOCAFI method for localized fires and nonlinear dynamic finite element simulations.

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Hysteresis model for beam-to-column connections of steel storage racks

Cited by 23 publications

References 33 publications

Investigation on Teardrop Connection of Rack Clad Building

Investigation on Teardrop Connection of Rack Clad Building

Prediction of the Bending Strength of Boltless Steel Connections in Storage Pallet Racks: An Integrated Experimental‐FEM‐SVM Methodology

Fire‐Induced Collapse of Automated Rack‐Supported Warehouses

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