Resistance and Trim Modeling of Naples Hard Chine Systematic Series
Само за регистроване кориснике
2017
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
An Artificial Neural Network (ANN) method with multiple outputs is used to develop the mathematical models for the Naples Systematic Series (NSS) of resistance (actually (RT/Δ)100000), dynamic trim (τ), wetted area (S/V2/3) and length of wetted area (LWL/LP), as functions of length beam ratio (LP/BPX), slenderness ratio (LP/V1/3), longitudinal centre of gravity (LCG/LP) and volumetric Froude number (FnV). Multiple ANN output feature enables simultaneous use of all the available (RT/Δ)100000 and τ data, producing both, an output for R/Δ and for τ. Similar results are obtained for the S/V2/3 and LWL/LP datasets. Note that the multiple output models share a common ANN structure, with only slight differences in equations for R/Δ & τ, and S/V2/3 & LWL/LP.
Кључне речи:
ANN / Artificial Neural Network / Mathematical Model / NSS-Naples Systematic SeriesИзвор:
Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017, 2017Издавач:
- Università degli Studi di Napoli “Federico II”
Финансирање / пројекти:
- Развој нове генерације сигурних, ефикасних, еколошких (SE-ECO) бродова (RS-MESTD-Technological Development (TD or TR)-35009)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Radojčić, Dejan AU - Kalajdžić, Milan PY - 2017 UR - https://machinery.mas.bg.ac.rs/handle/123456789/6726 AB - An Artificial Neural Network (ANN) method with multiple outputs is used to develop the mathematical models for the Naples Systematic Series (NSS) of resistance (actually (RT/Δ)100000), dynamic trim (τ), wetted area (S/V2/3) and length of wetted area (LWL/LP), as functions of length beam ratio (LP/BPX), slenderness ratio (LP/V1/3), longitudinal centre of gravity (LCG/LP) and volumetric Froude number (FnV). Multiple ANN output feature enables simultaneous use of all the available (RT/Δ)100000 and τ data, producing both, an output for R/Δ and for τ. Similar results are obtained for the S/V2/3 and LWL/LP datasets. Note that the multiple output models share a common ANN structure, with only slight differences in equations for R/Δ & τ, and S/V2/3 & LWL/LP. PB - Università degli Studi di Napoli “Federico II” C3 - Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017 T1 - Resistance and Trim Modeling of Naples Hard Chine Systematic Series UR - https://hdl.handle.net/21.15107/rcub_machinery_6726 ER -
@conference{ author = "Radojčić, Dejan and Kalajdžić, Milan", year = "2017", abstract = "An Artificial Neural Network (ANN) method with multiple outputs is used to develop the mathematical models for the Naples Systematic Series (NSS) of resistance (actually (RT/Δ)100000), dynamic trim (τ), wetted area (S/V2/3) and length of wetted area (LWL/LP), as functions of length beam ratio (LP/BPX), slenderness ratio (LP/V1/3), longitudinal centre of gravity (LCG/LP) and volumetric Froude number (FnV). Multiple ANN output feature enables simultaneous use of all the available (RT/Δ)100000 and τ data, producing both, an output for R/Δ and for τ. Similar results are obtained for the S/V2/3 and LWL/LP datasets. Note that the multiple output models share a common ANN structure, with only slight differences in equations for R/Δ & τ, and S/V2/3 & LWL/LP.", publisher = "Università degli Studi di Napoli “Federico II”", journal = "Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017", title = "Resistance and Trim Modeling of Naples Hard Chine Systematic Series", url = "https://hdl.handle.net/21.15107/rcub_machinery_6726" }
Radojčić, D.,& Kalajdžić, M.. (2017). Resistance and Trim Modeling of Naples Hard Chine Systematic Series. in Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017 Università degli Studi di Napoli “Federico II”.. https://hdl.handle.net/21.15107/rcub_machinery_6726
Radojčić D, Kalajdžić M. Resistance and Trim Modeling of Naples Hard Chine Systematic Series. in Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017. 2017;. https://hdl.handle.net/21.15107/rcub_machinery_6726 .
Radojčić, Dejan, Kalajdžić, Milan, "Resistance and Trim Modeling of Naples Hard Chine Systematic Series" in Conference Proceedings - 11th International Conference High Speed Marine Vehicles (HSMV2017), Naples, 2017 (2017), https://hdl.handle.net/21.15107/rcub_machinery_6726 .