: A multi-attribute concept design procedure as developed at the University of Zagreb is applied to the small craft. In time the concept design models of several generic types e.g. mono-hull ferry, catamaran ferry, fishing vessel, fast SAR, patrol and paramilitary craft, are developed and included into a multi-attribute design procedure. Each generic type of vessels requires its own design model that is structured in advance and calibrated. Calibration of the model is an important task if reliable results are expected. Here we will deal with the reliability of attribute prediction. Practical parametric equations for attribute prediction, based on the pre-vious work, were developed from published empirical methods, from analytical first principle methods, and from the study of selected database vessels. The results of attribute prediction were systematically compared to database values. Best fitting equations are presented in order to make them widely available to small craft designers
Reliability of Attribute Prediction in Small Craft Concept Design / I., Grubisic; Begovic, Ermina. - (2011), pp. 439-448.
Reliability of Attribute Prediction in Small Craft Concept Design
BEGOVIC, ERMINA
2011
Abstract
: A multi-attribute concept design procedure as developed at the University of Zagreb is applied to the small craft. In time the concept design models of several generic types e.g. mono-hull ferry, catamaran ferry, fishing vessel, fast SAR, patrol and paramilitary craft, are developed and included into a multi-attribute design procedure. Each generic type of vessels requires its own design model that is structured in advance and calibrated. Calibration of the model is an important task if reliable results are expected. Here we will deal with the reliability of attribute prediction. Practical parametric equations for attribute prediction, based on the pre-vious work, were developed from published empirical methods, from analytical first principle methods, and from the study of selected database vessels. The results of attribute prediction were systematically compared to database values. Best fitting equations are presented in order to make them widely available to small craft designersI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.