Design optimization of tall steel buildings by a modified particle swarm algorithm

Gholizadeh, Saeed; Fattahi, Fayegh

doi:10.1002/tal.1042

Cited by 44 publications

(16 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, PSO is easy to apply and has great computational capacity. In comparison with other optimization approaches, PSO is, however, more efficient and requiring fewer number of function evaluations while gives better or the same quality of results, but it has some weaknesses such as trapping into local optimum in a complex search space and disability to do a good local search around a local optimum (Dimou and Koumousis 2009;Gholizadeh and Fattahi 2014;Gundogdu et al 2015). Optimization function, as the critical attribute of PSO, is very useful to assess the structural damages; however, as shown in Table 11, PSO implementation in SHM is not as much of-GAapplications.…”

Section: Ga Applicationsmentioning

confidence: 99%

Recent Developments in Damage Identification of Structures Using Data Mining

Gordan

Razak

Ismail

et al. 2017

Lat. Am. j. solids struct.

View full text Add to dashboard Cite

Civil structures are usually prone to damage during their service life and it leads them to loss their serviceability and safety. Thus, damage assessment can guarantee the integrity of structures. As a result, a structural damage detection approach including two main components, a set of accelerometers to record the response data and a data mining (DM) procedure, is widely used to extract the information on the structural health condition. In the last decades, DM has provided numerous solutions to structural health monitoring (SHM) problems as an all-inclusive technique due to its powerful computational ability. This paper presents the first attempt to illustrate the data mining techniques (DMTs) applications in SHM through an intensive review of those articles dealing with the use of DMTs aimed for classification-, prediction-and optimization-based data mining methods. According to this categorization, applications of DMTs with respect to SHM research area are classified and it is concluded that, applications of DMTs in the SHM domain have increasingly been implemented, in the last decade and the most popular techniques in the area were artificial neural network (ANN), principal component analysis (PCA) and genetic algorithm (GA), respectively.

show abstract

Section: Ga Applicationsmentioning

confidence: 99%

Recent Developments in Damage Identification of Structures Using Data Mining

Gordan

Razak

Ismail

et al. 2017

Lat. Am. j. solids struct.

View full text Add to dashboard Cite

show abstract

“…Depending on the optimization purpose, crosssectional areas of the members and/or nodal coordinates separately or simultaneously can be included as the design variables of the problem. Phan et al (2013), Gholizadeh and Fattahi (2014), Gholizadeh and Poorhoseini (2015), Kaveh and Shokohi (2015), Gholizadeh (2015) and Artar (2016) applied some metaheuristic algorithms for the design optimization problems including the sizing variable only. Although it is possible to obtain better results taking into account both sizing and layout variables, in such a case the optimization problem becomes more complex due to rising number of variables (Hasançebi et al 2009;Tang et al 2005;Miguel et al 2013;Silih et al 2010;Deb, Gulati 2001;Dede, Ayvaz 2015;Bekdaş et al 2015;Aydın, Çakır 2015).…”

Section: Introductionmentioning

confidence: 99%

Weight Minimization of Truss Structures With Sizing and Layout Variables Using Integrated Particle Swarm Optimizer

Mortazavi

Toğan

Nuhoğlu

2017

Journal of Civil Engineering and Management

View full text Add to dashboard Cite

This study investigates the performances of the integrated particle swarm optimizer (iPSO) algorithm in the layout and sizing optimization of truss structures. The iPSO enhances the standard PSO algorithm employing both the concept of weighted particle and the improved fly-back method to handle optimization constraints. The performance of the recent algorithm is tested on a series of well-known truss structures weight minimization problems including mixed design search spaces (i.e. with both discrete and continuous variables) over various types of constraints (i.e. nodal displacements, element stresses and buckling criterion). The results demonstrate the validity of the proposed approach in dealing with combined layout and size optimization problems.

show abstract

“…() optimized tower structures by using firefly algorithm. Gholizadeh and Fattahi () optimized large‐scale tall steel buildings by a modified particle swarm optimization (PSO) meta‐heuristic algorithm. Their study demonstrated that the modified PSO possesses better computational performance compared with other optimization algorithms.…”

Section: Introductionmentioning

confidence: 99%

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

Gholizadeh

Shahrezaei

2014

Structural Design Tall Build

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Design optimization of tall steel buildings by a modified particle swarm algorithm

Cited by 44 publications

References 26 publications

Recent Developments in Damage Identification of Structures Using Data Mining

Recent Developments in Damage Identification of Structures Using Data Mining

Weight Minimization of Truss Structures With Sizing and Layout Variables Using Integrated Particle Swarm Optimizer

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

Contact Info

Product

Resources

About