RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUOUS STRUCTURE USING PARTICLE SWARM ALGORITHM

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOHAMMADZADEH HAMED; ABOLBASHARI MOHAMMAD HOSSEIN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Modares Mechanical Engineering Year:2017 | Volume:17 | Issue:7 Page(s): 265-272

Download Full-Text

Persian Verion

View:

1,406

Download:

Cites:

Information Journal Paper

Title

RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUOUS STRUCTURE USING PARTICLE SWARM ALGORITHM

Author(s)

MOHAMMADZADEH HAMED | ABOLBASHARI MOHAMMAD HOSSEIN | Issue Writer Certificate

Keywords

RELIABILITYQ2

PARTICLE SWARM ALGORITHMQ1

BIDIRECTIONAL EVOLUTIONARY STRUCTURALQ1

OPTIMIZATIONQ1

Abstract

RELIABILITY and OPTIMIZATION are two key elements for structural design. The RELIABILITY-based topology OPTIMIZATION (RBTO) is a powerful and promising methodology for finding the optimum topologies with the uncertainties. In this paper, the PARTICLE SWARM ALGORITHM (PSO) using performance measure approach (PMA) is proposed in the RBTO procedure. Conventionally, the approximate limit state function along with the most probable point (MPP) search algorithms is used for calculating the RELIABILITY index. On the other hand, the choice of penalty function for having a convergent search plays a critical role. In addition, it is not necessary to use approximate limit state function and calculate the derivatives of limit state function with respect to random variables. Furthermore, the convergence problem of the MPP search algorithms for complicated limit state functions does not exist. This paper presents RBTO using bi-directional evolutionary structural OPTIMIZATION (BESO) with an improved filter scheme. The topologies obtained by RBTO are compared with that obtained by deterministic topology OPTIMIZATION (DTO). Results of the RBTO using PSO show that PSO can be effectively applied to RBTO and its use is quite simple.

Cites

No record.

References

No record.

Cite

APA: Copy

MOHAMMADZADEH, HAMED, & ABOLBASHARI, MOHAMMAD HOSSEIN. (2017). RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUOUS STRUCTURE USING PARTICLE SWARM ALGORITHM. MODARES MECHANICAL ENGINEERING, 17(7 ), 265-272. SID. https://sid.ir/paper/179360/en

Vancouver: Copy

MOHAMMADZADEH HAMED, ABOLBASHARI MOHAMMAD HOSSEIN. RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUOUS STRUCTURE USING PARTICLE SWARM ALGORITHM. MODARES MECHANICAL ENGINEERING[Internet]. 2017;17(7 ):265-272. Available from: https://sid.ir/paper/179360/en

IEEE: Copy

HAMED MOHAMMADZADEH, and MOHAMMAD HOSSEIN ABOLBASHARI, “RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF CONTINUOUS STRUCTURE USING PARTICLE SWARM ALGORITHM,” MODARES MECHANICAL ENGINEERING, vol. 17, no. 7 , pp. 265–272, 2017, [Online]. Available: https://sid.ir/paper/179360/en

Related Journal Papers