Predictive model for drag embedment anchor performance in clay seabed

1Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.

Abstract

Predicting the performance of a drag embedment anchor (DEA) in a clay seabed requires: (1) prediction of anchor embedment depth as a function of drag distance, and (2) prediction of load capacity for any given embedment depth. Anchor pullout capacity is influenced by a number of variables including anchor size and configuration, the type and dimensions of the mooring line, properties of the seabed, and details of the anchor installation procedure. A simple model for DEA performance has been developed at Texas A&M University which predicts anchor embedment and capacity in terms of the above-mentioned variables. Recent laboratory model tests that were undertaken to validate the predictive model are discussed in this paper. The paper also presents the results of a parametric study undertaken to assess the influence of anchor/mooring system characteristics and seabed properties on anchor load capacity.

Cite

CITATION STYLE

APA

Beemer, R., Aubeny, C., Randall, R., & Drake, A. (2012). Predictive model for drag embedment anchor performance in clay seabed. In Proceedings of the 17th Offshore Symposium: Pushing Boundaries in the Global Industry.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free