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Keywords: prediction
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Journal Articles
J Ship Prod Des 38 (04): 220–238.
Paper Number: SNAME-JSPD-06210017
Published: 30 November 2022
...Johanna M. Daniel; Max G. Schuster; Gyde Andresen-Paulsen; Florian Holz; Kurt Wittekind; Sören Ehlers _ The aim of this paper is to investigate the relationship between design and operational ship parameters with respect to radiated underwater noise and to develop a semiempirical noise prediction...
Journal Articles
J Ship Prod Des 38 (01): 9–18.
Paper Number: SNAME-JSPD-10200027
Published: 10 February 2022
... into a competitive advantage through predictive analytics. Not only can this data be literally mined, but machine learning algorithms, such as Artificial Neural Networks (ANN), can now process it for a speedy and preliminary estimate through faster and cheaper computing power. To be clear, the purpose...
Journal Articles
J Ship Prod Des 35 (04): 317–327.
Paper Number: SNAME-JSPD-2019-35-4-317
Published: 01 November 2019
...Hong Zhou; Jiangchao Wang Inherent deformation as key parameter plays an essential role in elastic finite element (FE) analysis for welding distortion prediction. In this study, the self-constraints supported by surrounding base material and lateral stiffener were presented, where their influences...
Journal Articles
J Ship Prod Des 35 (02): 198–206.
Paper Number: SNAME-JSPD-2019-35-2-198
Published: 01 May 2019
... computational fluid dynamic hull mesh main dimension Reservoir Surveillance Engineering dimension resistance prediction Wave Pattern Journal of Ship Production and Design, Vol. 35, No. 2, May 2019, pp. 198 206 httpdx.doi.org/10.5957/JSPD.11170051 Prediction of Shallow Water Resistance for a New Ship...
Journal Articles
J Ship Prod Des 35 (01): 80–87.
Paper Number: SNAME-JSPD-2019-35-1-80
Published: 01 February 2019
...Amith Gadagi; Nisith Ranjan Mandal The present work deals with the prediction of heat source parameters of Goldak's double ellipsoidal model for flux cored arc welded fillet joints through an artificial neural network (ANN). Extensive experiments were carried out on low-carbon mild steel plates...
Journal Articles
J Ship Prod Des 35 (01): 41–68.
Paper Number: SNAME-JSPD-2019-35-1-41
Published: 01 February 2019
... 2010 and 2016) bulk carriers and tankers, the KVLCC2, and the method follows a multistage approach, calibrating first the model for the prediction of total resistance and applying the selfpropulsion equations afterward. The uncertainty of the new improved method is assessed and modeled with a nonlinear...
Journal Articles
J Ship Prod Des 34 (04): 335–346.
Paper Number: SNAME-JSPD-2018-34-4-335
Published: 01 November 2018
... and leads to an accurate prediction of sway force. Finally, it is viewed that the computed yaw moments are in a fair agreement with previous experimental data. 1 11 2018 1 11 2018 2018. The Society of Naval Architects and Marine Engineers modeling hydrostatic force prediction...
Journal Articles
J Ship Prod Des 34 (02): 155–167.
Paper Number: SNAME-JSPD-2018-34-2-155
Published: 01 May 2018
... of Naval Architects and Marine Engineers machine learning neural network Upstream Oil & Gas Engineering prediction heating process heating line fuzzy logic heat source heating Artificial Intelligence marine transportation Simulation line heating ship production Laser Shen sheet...
Journal Articles
J Ship Prod Des 33 (04): 291–309.
Paper Number: SNAME-JSPD-2017-33-4-291
Published: 01 November 2017
... with the corresponding predictions for each of the rudder arrangements. The mutual interactions between the rudder and the propulsion system were captured in the simulations and were comparable with the corresponding measurements. The research reveals the nature of the velocity and pressure fields due to the complex...
Journal Articles
J Ship Prod Des 33 (02): 144–155.
Paper Number: SNAME-JSPD-2017-33-2-144
Published: 01 May 2017
... & Gas planning & scheduling Artificial Intelligence gas monetization Engineering logistics Offshore Platform spool supplier prediction production management LNG Simulation shipyard offshore plant construction installation construction ship production information procurement...
Journal Articles
J Ship Prod Des 32 (01): 50–58.
Paper Number: SNAME-JSPD-2016-32-1-50
Published: 01 February 2016
...Li Peiyong; Gao Feng; Wang Chengfang; Mao Yunsheng; Cui Jin During the processing of frame part forming in ship production, the prediction of the curve radius of shape formed is of great significance for the quality and efficiency of forming work. The experiment method is used to conduct...
Journal Articles
J Ship Prod Des 31 (03): 192–200.
Paper Number: SNAME-JSPD-2015-31-3-192
Published: 01 August 2015
... of Naval Architects and Marine Engineers response amplitude operator numerical prediction ship production marine transportation regular wave roll response bow-quartering wave freight & logistics services sea state head wave vertical acceleration rms vertical acceleration passenger...
Journal Articles
J Ship Prod Des 31 (03): 181–191.
Paper Number: SNAME-JSPD-2015-31-3-181
Published: 01 August 2015
...Rob Grin There is continuous research on analytical, numerical, and (semi)empirical methods to predict wave-added resistance. Most of this research focuses on a particular area, like motion-induced wave added resistance, wave-added resistance in short waves, or is limited to head seas only...
Journal Articles
J Ship Prod Des 30 (04): 153–174.
Paper Number: SNAME-JSPD-2014-30-4-153
Published: 01 November 2014
... networks. Series 50 is a standard series of 20 V-bottomed motor boats tested in 1941. These hulls could be representative of today's semidisplacement hulls. Recently, the series has been reanalyzed and published using contemporary planing coefficients, enabling resistance prediction in design stages...
Journal Articles
J Ship Prod Des 30 (04): 175–183.
Paper Number: SNAME-JSPD-2014-30-4-175
Published: 01 November 2014
... for calculating the lift and heel moment for a prismatic planing hull at nonzero heel angles. 1 11 2014 1 11 2014 2014 Society of Naval Architects and Marine Engineers lift force wetted length half-beam wetted length hull prediction heave position chine-wetted length savitsky...
Journal Articles
J Ship Prod Des 30 (03): 109–125.
Paper Number: SNAME-JSPD-2014-30-3-109
Published: 01 August 2014
...Gregory J. Macfarlane; Neil Bose; Jonathan T. Duffy This article describes the development of an empirical tool that can rapidly and accurately predict the characteristics of the wave wake generated by vessels that typically operate within sheltered waterways, including small commercial craft...
Journal Articles
J Ship Prod Des 30 (02): 58–65.
Paper Number: SNAME-JSPD-2014-30-2-58
Published: 01 May 2014
... promise toward actual measurement of large blocks of ship structures and thereby satisfactorily validating theoretical methods of distortion prediction of such large structures. 1 5 2014 1 5 2014 2014. The Society of Naval Architects and Marine Engineers average plastic strain method...
Journal Articles
J Ship Prod Des 30 (01): 1–6.
Paper Number: SNAME-JSPD-2014-30-1-1
Published: 01 February 2014
...Alon Gany; Aviad Gofer This research presents analysis, experiment, and prediction of the performance of a unique marine propulsion concept, the air-augmented waterjet, having a revolutionary potential for significant thrust augmentation and boost capability of waterjet systems. So far...
Journal Articles
J Ship Prod Des 29 (04): 183–190.
Paper Number: SNAME-JSPD-2013-29-4-183
Published: 01 November 2013
...Robert E. Cole; Joseph J. Boza This article provides experimental results and shows comparisons of 90 sideslip performance of a fully skirted air cushion vehicle using theoretical predictions, 1/12th model scale data, and full-scale data. The goal is to establish a relation among the three data...
Journal Articles
J Ship Prod Des 29 (01): 1–16.
Paper Number: SNAME-JSPD-2013-29-1-1
Published: 01 February 2013
...Yu-Ping Yang; Harvey Castner; Randy Dull; James R. Dydo; Dennis Fanguy A weld shrinkage prediction model was developed for thin uniform ship panels to predict in-plane shrinkage. The weld shrinkage prediction model consists of a series of empirical equations developed by analysis of shrinkage data...

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