This article focuses on design of an Artificial Neural Network (ANN) model to estimate ship
resistance in ice-covered water by using suitable ship and ice parameters. In order to …

There is increasing interest in understanding fuel consumption from the perspective of
increasing energy efficiency on a vessel. Thus the aim of this paper is to present a new …

Abstract An Artificial Neural Network (ANN) model is developed as a reliable modeling
method for simulating and predicting the ultimate moment capacities for intermediate doubly …

In this paper towboat shaft power was predicted using various artificial neural networks. This
work is a step toward reducing errors in the prediction of towboat power as well as providing …

This study was aimed to propose an integrated formula developed based on artificial neural
network and Bilin element of the OpenSEES software to predict the minimum strength …

Inland waterway (IWW) shipping is a sustainable opportunity to reduce traffic on, in many
times very congested, roads and railways. This is especially true for cities and urban areas …

There is increasing interest in understanding fuel consumption from the perspective of
increasing energy efficiency on a vessel. Thus the aim of this paper is to present a new …

The present study was aimed to investigate the strength and ductility of welded flange plate
(WFP) connections. Using the FE method, 52 WFP connections with different beam overall …

This study aims to investigate the adequacy of the ductility requirement presented in the 15th
edition of AISC Steel Construction Manual for conventional single-plate (CSP) connections …

Steel moment-resisting frames had extensive brittle fractures in their welded connections
during the Northridge (1994) and Kobe (1995) earthquakes [1]. Since then, modifications for …