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Numerical ship hydrodynamicsan asses...

Hino, Takanori.

Numerical ship hydrodynamicsan assessment of the Tokyo 2015 workshop /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Numerical ship hydrodynamicsedited by Takanori Hino ... [et al.].
Reminder of title:	an assessment of the Tokyo 2015 workshop /
other author:	Hino, Takanori.
Published:	Cham :Springer International Publishing :2021.
Description:	x, 439 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	ShipsCongresses.Hydrodynamics
Online resource:	https://doi.org/10.1007/978-3-030-47572-7
ISBN:	9783030475727$q(electronic bk.)

Numerical ship hydrodynamicsan assessment of the Tokyo 2015 workshop /
Numerical ship hydrodynamicsan assessment of the Tokyo 2015 workshop /[electronic resource] :edited by Takanori Hino ... [et al.]. - Cham :Springer International Publishing :2021. - x, 439 p. :ill., digital ;24 cm. - Lecture notes in applied and computational mechanics,v.941613-7736 ;. - Lecture notes in applied and computational mechanics ;v.61..

Introduction, Conclusions and Recommendations -- Experimental data of Resistance, Sinkage, Trim, Self-Propulsion Factors, Longitudinal Wave Cut and Detailed Flow for JBC with and without an Energy Saving Circular Duct -- Experimental Data for KCS Resistance, Sinkage, Trim, and Self-Propulsion -- Experimental Data for KCS Added Resistance and ONRT Free Running Course Keeping/Speed Loss in Head and Oblique Waves -- Evaluation of Resistance, Sinkage, Trim and Wave Pattern Predictions for the JBC -- Analysis of the Local Flow around the JBC -- Evaluation of Self-Propulsion and Energy Saving Device Performance Predictions for JBC -- Evaluation of Resistance, Sinkage, Trim and Self-Propulsion Predictions for the KCS -- Assessment of CFD for Added Resistance for KCS and Course Keeping/Speed Loss for ONRT in Regular Head and Oblique Waves.

This book explores computational fluid dynamics applied to ship hydrodynamics and provides guidelines for the future developments in the field based on the Tokyo 2015 Workshop. It presents ship hull test cases, experimental data and submitted computational methods, conditions, grids and results. Analysis is made of errors for global (resistance, sinkage, trim and self-propulsion) and local flow (wave elevations, mean velocities and turbulence) variables, including standard deviations for global variables. The effects of grid size and turbulence models are evaluated for both global and local flow variables. Detailed analysis is made of turbulence modeling capabilities for capturing local flow physics. Errors and standard deviations are also assessed for added resistance (captive test cases) and course keeping/speed loss (free running test cases) in head and oblique waves. All submissions are used to evaluate the error and uncertainty by means of a systematic verification and validation (V&V) study along with statistical investigations.

ISBN: 9783030475727$q(electronic bk.)

Standard No.: 10.1007/978-3-030-47572-7doiSubjects--Topical Terms:

887039
Ships
--Hydrodynamics--Congresses.

LC Class. No.: VM156 / .N85 2021

Dewey Class. No.: 623.812

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520 $a This book explores computational fluid dynamics applied to ship hydrodynamics and provides guidelines for the future developments in the field based on the Tokyo 2015 Workshop. It presents ship hull test cases, experimental data and submitted computational methods, conditions, grids and results. Analysis is made of errors for global (resistance, sinkage, trim and self-propulsion) and local flow (wave elevations, mean velocities and turbulence) variables, including standard deviations for global variables. The effects of grid size and turbulence models are evaluated for both global and local flow variables. Detailed analysis is made of turbulence modeling capabilities for capturing local flow physics. Errors and standard deviations are also assessed for added resistance (captive test cases) and course keeping/speed loss (free running test cases) in head and oblique waves. All submissions are used to evaluate the error and uncertainty by means of a systematic verification and validation (V&V) study along with statistical investigations.
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