An intelligent Adaptive Neuro-Fuzzy Inference System to Estimate the Behavior factor of EBF steel frames under Pulse-type Near-fault Earthquakes

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.

RAZAVI S.A.; SIAHPOLO N.; MAHDAVI ADELI M.

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

Journal Paper

Paper Information

Journal: Sharif Journal of Civil Engineering Year:2021 | Volume:37-2 | Issue:1/2 Page(s): 157-169

Download Full-Text

Persian Verion

View:

116

Download:

Cites:

Information Journal Paper

Title

An intelligent Adaptive Neuro-Fuzzy Inference System to Estimate the Behavior factor of EBF steel frames under Pulse-type Near-fault Earthquakes

Author(s)

RAZAVI S.A. | SIAHPOLO N. | MAHDAVI ADELI M. | Issue Writer Certificate

Keywords

Intelligent model

Adaptive-neural fuzzy inference system

Behavior factor

Eccentric braced frame

Pulse-type near-fault earthquake

Performance level

Abstract

One of the most important effective parameters in earthquake, is Behavior factor, which is depends on various factors such as structural geometric properties, structure ductility (Performance level), fundamental period of the structure, damping, soil properties, earthquake characteristics (near-or far-field) and effect of higher modes. The most important feature of the Behavior factor is that it allows the structural designer, to be able to evaluate the structural seismic demand, using an elastic analysis, based on force-based principles quickly. In seismic codes such as the Standard 2800, this coefficient is merely dependent on the type of lateral resistance system and is introduced with a fixed number. However, there is a relationship between the Behavior factor, ductility (Performance level), structural geometric properties, and type of earthquake (near fault and far fault). The purpose of this paper is to establish an accurate Intelligent model related to the geometrical characteristics of the structure, Performance level and the Behavior factor in eccentrically steel frames, under earthquakes near-fault. For this purpose, genetic algorithm is used. Initially a wide database consisting of 12960 data with 3-, 6-, 9-, 12-, 15-and 20-stories, 3 column stiffness types, and 3 brace slenderness types were designed, and analyzed under 20 Pulse-type near-fault earthquakes for 4 different Performance levels. To generate the proposed model, 6769 training data were used in the form of Adaptive-neural fuzzy inference system (ANFIS). Subtractive clustering and Fuzzy C-Mean clustering (FCM) methods have been used to generate the purposed model. The results showed that Fuzzy C-Mean clustering provides more accurate results than the other fuzzy inference system (FIS). To validate the proposed model, 2257 test data were used to calculate the mean squared error of the model. The results of correlation analysis of the proposed model show that the proposed Intelligent model has high accuracy.

Cites

No record.

References

No record.

Cite

APA: Copy

RAZAVI, S.A., SIAHPOLO, N., & MAHDAVI ADELI, M.. (2021). An intelligent Adaptive Neuro-Fuzzy Inference System to Estimate the Behavior factor of EBF steel frames under Pulse-type Near-fault Earthquakes. SHARIF: CIVIL ENINEERING, 37-2(1/2 ), 157-169. SID. https://sid.ir/paper/965798/en

Vancouver: Copy

RAZAVI S.A., SIAHPOLO N., MAHDAVI ADELI M.. An intelligent Adaptive Neuro-Fuzzy Inference System to Estimate the Behavior factor of EBF steel frames under Pulse-type Near-fault Earthquakes. SHARIF: CIVIL ENINEERING[Internet]. 2021;37-2(1/2 ):157-169. Available from: https://sid.ir/paper/965798/en

IEEE: Copy

S.A. RAZAVI, N. SIAHPOLO, and M. MAHDAVI ADELI, “An intelligent Adaptive Neuro-Fuzzy Inference System to Estimate the Behavior factor of EBF steel frames under Pulse-type Near-fault Earthquakes,” SHARIF: CIVIL ENINEERING, vol. 37-2, no. 1/2 , pp. 157–169, 2021, [Online]. Available: https://sid.ir/paper/965798/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops