Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime
A mathematical representation of calm-water resistance for contemporary planing hull forms based on the USCG and TUNS Series is presented. Regression analysis and artificial neural network (ANN) techniques are used to establish, respectively, Simple and Complex mathematical models. For the Simple mo...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Sciendo
2014-04-01
|
| Series: | Polish Maritime Research |
| Subjects: | |
| Online Access: | https://doi.org/10.2478/pomr-2014-0014 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1841536568881315840 |
|---|---|
| author | Radojcic Dejan Zgradic Antonio Kalajdzic Milan Simic Aleksandar |
| author_facet | Radojcic Dejan Zgradic Antonio Kalajdzic Milan Simic Aleksandar |
| author_sort | Radojcic Dejan |
| collection | DOAJ |
| description | A mathematical representation of calm-water resistance for contemporary planing hull forms based on the USCG and TUNS Series is presented. Regression analysis and artificial neural network (ANN) techniques are used to establish, respectively, Simple and Complex mathematical models. For the Simple model, resistance is the dependent variable (actually R/Δ for standard displacement of Δ = 100000 lb), while the Froude number based on volume (FnV) and slenderness ration (L/V1/3) are the independent variables. In addition to these, Complex model’s independent variables are the length beam ratio (L/B), the position of longitudinal centre of gravity (LCG/L) and the deadrise angle (β). The speed range corresponding to FnV values between 0.6 and 3.5 is analyzed. The Simple model can be used in the concept design phases, while the Complex one might be used for various numerical towing tank performance predictions during all design phases, as appropriate |
| format | Article |
| id | doaj-art-7730c83ad0b544328cd49b3b939f84a8 |
| institution | Kabale University |
| issn | 2083-7429 |
| language | English |
| publishDate | 2014-04-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Polish Maritime Research |
| spelling | doaj-art-7730c83ad0b544328cd49b3b939f84a82025-01-14T14:22:56ZengSciendoPolish Maritime Research2083-74292014-04-0121292610.2478/pomr-2014-0014pomr-2014-0014Resistance Prediction for Hard Chine Hulls in the Pre-Planing RegimeRadojcic Dejan0Zgradic Antonio1Kalajdzic Milan2Simic Aleksandar3University of Belgrade, Belgrade, SerbiaNAVAR, Herceg Novi, MontenegroUniversity of Belgrade, Belgrade, SerbiaUniversity of Belgrade, Belgrade, SerbiaA mathematical representation of calm-water resistance for contemporary planing hull forms based on the USCG and TUNS Series is presented. Regression analysis and artificial neural network (ANN) techniques are used to establish, respectively, Simple and Complex mathematical models. For the Simple model, resistance is the dependent variable (actually R/Δ for standard displacement of Δ = 100000 lb), while the Froude number based on volume (FnV) and slenderness ration (L/V1/3) are the independent variables. In addition to these, Complex model’s independent variables are the length beam ratio (L/B), the position of longitudinal centre of gravity (LCG/L) and the deadrise angle (β). The speed range corresponding to FnV values between 0.6 and 3.5 is analyzed. The Simple model can be used in the concept design phases, while the Complex one might be used for various numerical towing tank performance predictions during all design phases, as appropriatehttps://doi.org/10.2478/pomr-2014-0014planing crafthard chine hullsresistance evaluationartificial-neural-network (ann)tuns seriesuscg seriespre-planing regime |
| spellingShingle | Radojcic Dejan Zgradic Antonio Kalajdzic Milan Simic Aleksandar Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime Polish Maritime Research planing craft hard chine hulls resistance evaluation artificial-neural-network (ann) tuns series uscg series pre-planing regime |
| title | Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime |
| title_full | Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime |
| title_fullStr | Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime |
| title_full_unstemmed | Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime |
| title_short | Resistance Prediction for Hard Chine Hulls in the Pre-Planing Regime |
| title_sort | resistance prediction for hard chine hulls in the pre planing regime |
| topic | planing craft hard chine hulls resistance evaluation artificial-neural-network (ann) tuns series uscg series pre-planing regime |
| url | https://doi.org/10.2478/pomr-2014-0014 |
| work_keys_str_mv | AT radojcicdejan resistancepredictionforhardchinehullsinthepreplaningregime AT zgradicantonio resistancepredictionforhardchinehullsinthepreplaningregime AT kalajdzicmilan resistancepredictionforhardchinehullsinthepreplaningregime AT simicaleksandar resistancepredictionforhardchinehullsinthepreplaningregime |