MULTI-OBJECTIVE OPTIMIZATION OF CRASHWORTHINESS OF CYLINDRICAL TUBES AS ENERGY ABSORBERS

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.

MIRZAEI M.; SHAKERI M.; SADIGHI M.; SEYEDI S.E.

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

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MECHANICAL ENGINEERING (ENGLISH) Year:2011 | Volume:12 | Issue:1 (16) Page(s): 5-18

Download Full-Text

View:

374

Download:

361

Cites:

Information Journal Paper

Title

MULTI-OBJECTIVE OPTIMIZATION OF CRASHWORTHINESS OF CYLINDRICAL TUBES AS ENERGY ABSORBERS

Author(s)

MIRZAEI M. | SHAKERI M. | SADIGHI M. | SEYEDI S.E. | Issue Writer Certificate

Keywords

CYLINDRICAL TUBE

ENERGY ABSORPTION

NEURAL NETWORKS

MULTI-OBJECTIVE OPTIMIZATION

Abstract

In this article, the MULTI-OBJECTIVE OPTIMIZATION of cylindrical aluminum tubes under axial impact load is presented. The absorbed energy and the specific absorbed energy (SEA) are considered as objective functions while the maximum crush load should not exceed allowable limit. The geometric dimensions of tubes including diameter, length and thickness are chosen as design variables. The Non-dominated Sorting Genetic Algorithm –II (NSGAII) is applied to obtain the Pareto optimal solutions. A back-propagation neural network is constructed as the surrogate model to formulate the mapping between the design variables and the objective functions. The finite element software ABAQUS/Explicit is used to generate the training and test sets for the artificial NEURAL NETWORKS. To validate the results of finite element model, several impact tests are carried out using drop hammer.

Cites

No record.

References

No record.

Cite

APA: Copy

MIRZAEI, M., SHAKERI, M., SADIGHI, M., & SEYEDI, S.E.. (2011). MULTI-OBJECTIVE OPTIMIZATION OF CRASHWORTHINESS OF CYLINDRICAL TUBES AS ENERGY ABSORBERS. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), 12(1 (16)), 5-18. SID. https://sid.ir/paper/587985/en

Vancouver: Copy

MIRZAEI M., SHAKERI M., SADIGHI M., SEYEDI S.E.. MULTI-OBJECTIVE OPTIMIZATION OF CRASHWORTHINESS OF CYLINDRICAL TUBES AS ENERGY ABSORBERS. JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH)[Internet]. 2011;12(1 (16)):5-18. Available from: https://sid.ir/paper/587985/en

IEEE: Copy

M. MIRZAEI, M. SHAKERI, M. SADIGHI, and S.E. SEYEDI, “MULTI-OBJECTIVE OPTIMIZATION OF CRASHWORTHINESS OF CYLINDRICAL TUBES AS ENERGY ABSORBERS,” JOURNAL OF MECHANICAL ENGINEERING (ISME) (IRANIAN JOURNAL OF MECHANICAL ENGINEERING-ENGLISH), vol. 12, no. 1 (16), pp. 5–18, 2011, [Online]. Available: https://sid.ir/paper/587985/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops