Modelling the pullout capacity of marquee ground anchors using neurofuzzy technique

Date

2005

Authors

Shahin, M.
Jaksa, M.

Editors

Zerger, A.
Argent, R.

Advisors

Journal Title

Journal ISSN

Volume Title

Type:

Conference paper

Citation

MODSIM 2005 International Congress on Modelling and Simulation: Modelling and Simulation Society of Australia and New Zealand, December 2005 / Andre Zerger and Robert M. Argent (eds.): pp.66-72

Statement of Responsibility

M. A. Shahin and M. B. Jaksa

Conference Name

International Congress on Modelling and Simulation (16th : 2005 : Melbourne, Victoria)

Abstract

Marquees are temporary light structures that are connected to the ground by tensile anchors to resist forces imposed by wind acting on the structure. Failures of such structures are not rare and have resulted in deaths and tens of thousands of dollars of damage. Consequently, an accurate estimation of the ultimate pullout capacity of ground anchors is essential; however, current methods for estimat-ing the ultimate pullout capacity of marquee ground anchors are inaccurate. This is attributed to the fact that the models used by current methods were originally developed to estimate the axial ca-pacity of a single pile rather than small size an-chors. The aim of this paper is to develop a more accurate model for predicting the pullout capacity of marquee ground anchors based on the neuro-fuzzy technique. The type of neurofuzzy networks used are the B-spline networks that are trained with the adaptive spline modelling of observation data (ASMOD) algorithm. A series of 119 in situ anchor pullout tests, conducted at six different lo-cations in the Adelaide Region, South Australia, are used for the neurofuzzy model calibration and validation. Statistical analyses that compare the ac-tual measured pullout capacity with those pre-dicted by the neurofuzzy model and three existing pile capacity prediction methods are conducted and discussed.

School/Discipline

Dissertation Note

Provenance

Description

© 2005 Modelling & Simulation Society of Australia & New Zealand

Access Status

Rights

License

Grant ID

Call number

Persistent link to this record