Progressive collapse design of seismic steel frames using structural optimization

Liu, Min

doi:10.1016/j.jcsr.2010.10.009

Cited by 43 publications

(15 citation statements)

References 11 publications

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“…In the literature on the optimization of steel frames with semi-rigid connections, mathematical programming techniques [1,4,9,10] and genetic algorithms [2,[5][6][7][8]11,13] have been used. These types of problem are characterized by having either discrete variables or a combination of continuous and discrete variables.…”

Section: Optimization Algorithmmentioning

confidence: 99%

“…He represented the cost of each member by its weight, while the cost of each connection was based on their rotation stiffness value converted into an equivalent structural weight. The weight minimization of only the structural profiles (members) of steel frames was carried out by Kameshki and Saka [5,6], Csébfalvi [7], and Liu [8]. Almusallam [9] and Al-Salloum and Almusallam [10] minimized the volume of the frame considering only the structural profiles.…”

Section: Introductionmentioning

confidence: 99%

“…In order to obtain the optimum design of steel frames, some researchers [1][2][3][4][5][6][7][8][9][10][11][12], use structural analysis to firstly obtain the rotational stiffness and moment resistance. These values are then used to determine the member sizes, after which, the connections of the structure may be optimized.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimum design of semi-rigid connections using metamodels

Díaz¹,

Victoria²,

Querin³

et al. 2012

Journal of Constructional Steel Research

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Section: Optimization Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimum design of semi-rigid connections using metamodels

Díaz¹,

Victoria²,

Querin³

et al. 2012

Journal of Constructional Steel Research

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“…Their results showed a great time saving in large‐scale optimization. Liu () utilized structural optimization techniques to cost‐effectively design seismic steel moment frames with enhanced resistance to progressive collapse. He tackled this problem using genetic algorithm (GA) based on linear and nonlinear analysis procedures.…”

Section: Introductionmentioning

confidence: 99%

Optimal placement of steel plate shear walls for steel frames by bat algorithm

Gholizadeh

Shahrezaei

2014

Structural Design Tall Build

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SUMMARY Layout optimization of steel frames with steel plate walls (SPWs) using a meta‐heuristic search algorithm is the main aim of the present study. SPWs are lateral load‐resisting systems, especially against earthquake excitation. These systems offer significant advantages in terms of cost, performance and ease of design compared with other systems. In this study, orthotropic membrane model is used to model the behaviour of steel plate shear walls. The newly developed bat algorithm, which is based on the echolocation behaviour of bats, is employed as the present study optimizer. Design variables of the optimization problem consist of the cross sections of beams and columns of the frame, the web plate thicknesses of SPWs and the placement of SPW in the frame. The bat algorithm performs suitable selection of sections from the AISC wide‐flange (W) shapes list. Strength constraints of the American Institute of Steel Construction Load and Resistance Factor Design and displacement constraints are checked during the optimization process. The results reveal the effectiveness of the proposed method for optimization of steel frames with SPWs. Copyright © 2014 John Wiley & Sons, Ltd.

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“…Due to the extreme loadings, such as impact and blast loads (Pekau and Cui, 2006), the affected building structures usually suffered serious damages and the connections of the structures usually deformed significantly. In order to prevent structural collapse, the connections must possess sufficient ductility to accommodate the significant deformation demand, in which case considerable research studies on large-scale deformation and failure of connections (Dong, 2001), local failures of frames (Luigi and Vincenzo, 2009) and progressive collapse of semi-rigid framed buildings (Liu, 2011) are required.Simo˜es da Silva et al (2002) conducted a nonlinear analysis to evaluate the ductility of a number of steel connections within the scope of the component method, which allows an accurate prediction of the yield sequence of various components in an SRC. Wang and Li (2008) provided a practical design method for semi-rigid frames under normal loading conditions, which was verified by a series of full-scale semi-rigid frame tests.…”

Section: Introductionmentioning

confidence: 99%

A multi-spring component modelling approach for T-stub connections

Wang

Zhang

Jiang

2016

Advances in Structural Engineering

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The connection is one of the most important members in the structural frame, and its behaviour greatly influences structural collapse patterns and anti-collapse ability. According to the concept of the component method, a semi-rigid beam-to-column connection can be defined as an assembly of a series of equivalent T-stubs and relevant components. In order to actualise the large deformation simulation of the connections, both axially and rotationally, a new multi-spring component model to evaluate properties of T-stub connections has been proposed in this article. The nonlinear property of a T-stub is described by a multi-spring system, which is used to trace the entire T-stub post-yield behaviour. A series of experiments with T-stub connections has been performed to calibrate the proposed model. The load curves and failure mode of the experiments, three-dimensional finite element method and multi-spring component modelling fit well with each other. A case study of beam-to-column semi-rigid connections has also been performed to further illustrate the usage of the T-stub component model in beam-to-column semi-rigid connections.

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Progressive collapse design of seismic steel frames using structural optimization

Cited by 43 publications

References 11 publications

Optimum design of semi-rigid connections using metamodels

Optimum design of semi-rigid connections using metamodels

Optimal placement of steel plate shear walls for steel frames by bat algorithm

A multi-spring component modelling approach for T-stub connections

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