APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE ASSESSMENT OF DAMAGED ZONE AROUND UNDERGROUND SPACES

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.

FATTAHI H.; SHOJAEE S.; EBRAHIMI FARSANGI M.A.

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

Journal Paper

Paper Information

Journal: International Journal of Optimization in Civil Engineering Year:2013 | Volume:3 | Issue:4 Page(s): 673-693

Download Full-Text

View:

244

Download:

142

Cites:

Information Journal Paper

Title

APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE ASSESSMENT OF DAMAGED ZONE AROUND UNDERGROUND SPACES

Author(s)

FATTAHI H. | SHOJAEE S. | EBRAHIMI FARSANGI M.A. | Issue Writer Certificate

Keywords

EXCAVATION DAMAGED ZONE

ANFIS

MODULUS OF DEFORMATION

RES

Abstract

The development of an EXCAVATION DAMAGED ZONE (EDZ) around an underground excavation can change the physical, mechanical and hydraulic behaviors of the rock mass near an underground space. This might RESult in endangering safety, achievement of costs and excavation planed. This paper presents an approach to build a prediction model for the assessment of EDZ, based upon rock mass characteristics changed. Rock engineering systems (RES) was used as an appropriate method for choosing the best parameter that expresses the occurrence of EDZ. MODULUS OF DEFORMATION with the highest weight in the system was selected as the most effective changed parameter. The adaptive network-based fuzzy inference system (ANFIS) with MODULUS OF DEFORMATION as input was used to build a prediction model for the assessment of EDZ. Three ANFIS models were implemented, grid partitioning (GP), subtractive clustering method (SCM) and fuzzy c-means clustering method (FCM). A comparison was made between these three models and the RESults show the superiority of the ANFIS-SCM model. Furthermore, a case study in a test gallery of the Gotvand dam, Iran was carried out to illustrate the capability of the ANFIS model defined.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

FATTAHI, H., SHOJAEE, S., & EBRAHIMI FARSANGI, M.A.. (2013). APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE ASSESSMENT OF DAMAGED ZONE AROUND UNDERGROUND SPACES. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, 3(4), 673-693. SID. https://sid.ir/paper/329432/en

Vancouver: Copy

FATTAHI H., SHOJAEE S., EBRAHIMI FARSANGI M.A.. APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE ASSESSMENT OF DAMAGED ZONE AROUND UNDERGROUND SPACES. INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING[Internet]. 2013;3(4):673-693. Available from: https://sid.ir/paper/329432/en

IEEE: Copy

H. FATTAHI, S. SHOJAEE, and M.A. EBRAHIMI FARSANGI, “APPLICATION OF ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM FOR THE ASSESSMENT OF DAMAGED ZONE AROUND UNDERGROUND SPACES,” INTERNATIONAL JOURNAL OF OPTIMIZATION IN CIVIL ENGINEERING, vol. 3, no. 4, pp. 673–693, 2013, [Online]. Available: https://sid.ir/paper/329432/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops