CN117332710B - Quick Fang Weichuan resistance forecasting method based on novel resistance decomposition at medium and low navigational speeds - Google Patents
Quick Fang Weichuan resistance forecasting method based on novel resistance decomposition at medium and low navigational speeds Download PDFInfo
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Abstract
The invention relates to a rapid forecasting method for Fang Weichuan resistance in middle and low navigational speeds based on novel resistance decomposition, which is characterized in that the total resistance coefficient C t of a ship body is decomposed into a friction resistance coefficient C f and a side dynamic pressure resistance coefficient according to the wet surface areas of different parts of the ship body and different hydrodynamic componentsDynamic pressure drag coefficient of sternStatic pressure resistance coefficient of dry stern seal plateStatic pressure resistance coefficient of wet stern seal platePredicting each resistance component by using an existing empirical formula or theoretical calculation method; the total resistance is predicted by summing the resistance components. The invention separates the components of square stern transom seal plate resistance which is greatly influenced by turbulence, side transom resistance which is less influenced by turbulence and the like, finds out the static pressure resistance of the wet transom seal plate which is neglected in the past, and respectively describes the influence of a vortex area on the dynamic pressure resistance of the stern and the dynamic pressure resistance of the side transom at medium and low navigational speeds by introducing blunt body resistance coefficient and square transom wave making parameters and correcting the existing Neumann-Michell theory, thereby realizing the rapid and accurate forecast of the total resistance of the square transom.
Description
Technical Field
The invention belongs to the technical field of ship hydrodynamic force, and particularly relates to a method capable of rapidly and accurately forecasting Fang Weichuan total resistance at medium and low navigational speeds.
Background
Currently, the resistance calculation method of the square stern ship is a CFD calculation method and a potential flow calculation method. CFD calculation methods require a large amount of computational resources to be consumed, and are costly and slow. The potential flow calculation method is high in efficiency, however, the influence of the square stern is difficult to accurately consider at medium and low navigational speeds. The method astern forms a full circulation area when the navigational speed is high, fang Weichuan tail sealing plates are not contacted with water and become a dry surface, and the existing method usually adopts a reservoir tower condition and the like to improve the potential flow method of the Rankine source, meets the continuous condition of a square astern streamline, and further predicts wave making resistance. However, at medium and low speeds, the tail seal plate of the square stern is partially immersed in the water body, the square astern forms a more remarkable vortex area, and the total resistance of the square stern is difficult to forecast. The influence of the vortex area is difficult to accurately describe by a common virtual length method and a conventional tower condition method, and the influence of the hydrodynamic pressure on the stern transom is often ignored when the hydrodynamic pressure is calculated by the conventional method. Thus, there is a need for a method that can rapidly and accurately predict Fang Weichuan total drag at medium and low speeds.
Disclosure of Invention
Aiming at the defect that the prior art is difficult to quickly and accurately calculate Fang Weichuan resistance at middle and low speeds, the invention provides a novel resistance decomposition-based quick forecasting method for Fang Weichuan resistance at middle and low speeds, which comprises a novel resistance decomposition method, a forecasting method for each resistance component and a forecasting method for total resistance; according to the novel resistance decomposition method, the total resistance is decomposed into five different components according to different surface areas and different pressure components of the ship body, so that the influence of the square stern is better reflected; the forecasting method of each resistance component can forecast each resistance component according to an empirical formula or simpler theoretical calculation; according to the resistance decomposition method and the resistance component forecasting method, the total resistance of the ship body can be forecasted, so that the total resistance of the stern ship can be forecasted rapidly and accurately.
The technical scheme adopted by the invention for solving the technical problems is as follows:
a quick Fang Weichuan resistance forecasting method based on novel resistance decomposition at medium and low navigational speeds comprises the following steps:
S1, decomposing the square stern ship resistance by adopting a novel resistance decomposition method: according to the wet surface areas of different parts of the ship body and different hydrodynamic components, the total resistance coefficient C t of the ship body is decomposed into a friction resistance coefficient C f and a ship side dynamic pressure resistance coefficient Stern dynamic pressure resistance coefficient/>Static pressure resistance coefficient of dry stern seal plate/>Static pressure resistance coefficient of wet stern seal plate/>The expression of the total drag coefficient C t of the hull is as follows:
Wherein: frictional resistance C f represents the hull surface frictional resistance; c p represents the compressive resistance; ship side dynamic pressure resistance Representing the integral of hydrodynamic pressure on the side surface of the ship; stern dynamic pressure resistance/>Representing the integral of the hydrodynamic pressure on the stern transom plate surface; static pressure resistance of dry stern seal plate/>Representing the hydrostatic resistance associated with the surface of the dry stern transom due to the lowering of the free liquid level after the transom; static pressure resistance of wet stern seal plate/>Representing the hydrostatic resistance associated with the wet stern transom surface due to the lowering of the free liquid surface after the square tail.
S2, practical calculation of each resistance component: and forecasting each resistance component by using an existing empirical formula or theoretical calculation method. Wherein:
The friction resistance C f is calculated by adopting a ITTC1957 flat friction formula
Wherein: s s is the wet surface area of the side curves, re is the reynolds number expressed as re=v sLs/V, where the kinematic viscosity coefficient of water is taken to be v=1.14x -6m2/s,VS to denote the speed of the ship and L s to denote the captain.
Static pressure resistance of dry stern seal plateThe expression is as follows:
Wherein: The Froude number, V s, the navigational speed, L s, the ship length, (x, y, z) the curved surface coordinates of the ship body, and (n x,ny,nz) the normal vector of the curved surface of the ship body; da represents the area of the hull curved discrete units; /(I) Indicating that the aft fluid movement of the square stern vessel causes the water surface to drop and form the dry surface of the tail seal plate.
Static pressure resistance of wet tail sealing plateObtained according to the pressure decomposition method, expressed as:
Wherein: The surface of the wet tail sealing plate is represented, eta dry is the height of the dry tail sealing plate, and eta dry is calculated by adopting the existing empirical formula:
Wherein: c 1＝0.08057,C2＝2.831,tr is dimensionless square stern draft, and T r is actual square stern draft.
Dynamic pressure drag coefficient of sternExpressed in terms of the bluff body resistance coefficient C d:
Wherein: Represents wet tail seal plate/> Is simply chosen to be C d.apprxeq.0.04.
Coefficient of dynamic pressure resistance on ship sideThe correction calculation is carried out on the Neumann-Michell potential flow theory to obtain:
Wherein: p * represents the side hydrodynamic pressure expressed as
Wherein: Velocity potential/>, respectively X, y, z direction partial derivatives, velocity potential/>To account for local nonlinearity of the free liquid level after square tail, the Neumann-Michell theory is corrected and calculated to be expressed as
Wherein: expressed as Hogner velocity potential
Wherein: g is a Green function;
Expressed as the free liquid surface velocity potential
Wherein:
Where the subscripts x, y, z denote the corresponding partial derivatives, phi denotes the source point velocity potential, Represents the free liquid level of the depression behind the square tail, sigma F represents the average free liquid level, eta 0 represents the shape of the free liquid level behind the square tail, and is expressed as eta 0/ηdry≈-1-(x+0.5)/lh
with -0.5-lh<x<-0.5,|y|<bs (12)
Where b s denotes the stern width, l h denotes the length of the wake depression, taken as l h≈bs,
Represents NM speed potential expressed as
Where N node represents the number of discrete bin nodes, a ij represents a configuration matrix, related to the speed of the ship and the geometry of the hull, consistent with the traditional Neumann-Michell theory calculation method, j represents the number of unit nodes, and phi j represents the speed potential at the j-th node.
S3, forecasting total resistance: the total resistance is predicted by summing the resistance components.
The invention has the beneficial effects that:
The invention separates the components such as the square stern transom plate resistance with larger influence of turbulence and the side resistance with smaller influence of turbulence by a novel resistance decomposition method, and discovers the neglected static pressure resistance of the wet transom plate By introducing a blunt body resistance coefficient C d and a square tail wave making parameter gamma and correcting the existing Neumann-Michell theory, the dynamic pressure resistance/>, on the stern, of a vortex region at medium and low navigational speeds is respectively describedShip side dynamic pressure resistance/>Thereby realizing the rapid and accurate forecast of the total resistance of the opposite stern vessel.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
FIG. 1 is a schematic representation of the significance of the parameters in the method of the present invention;
FIG. 2 is a graph of the total resistance of NPL-3b, NPL-4a Fang Weichuan predicted by the method of this invention versus experimental measurements in an example of this invention;
FIG. 3 is a schematic representation of a CFD computational fluid domain for verifying the correctness of the method of the present invention;
FIG. 4 is a CFD computational meshing used to verify the correctness of the method of the present invention;
FIG. 5 is a comparative graph of the verification of the hydrodynamic pressure distribution of NPL-4a ship predicted by the method of the present invention in the examples of the present invention.
Detailed Description
For a clearer understanding of technical features, objects and effects of the present invention, a detailed description of embodiments of the present invention will be made with reference to the accompanying drawings.
According to the quick Fang Weichuan resistance forecasting method based on the novel resistance decomposition at medium and low navigational speeds, the specific implementation steps are as follows:
The first step is to adopt the captain to dimensionless the geometric shape of the ship body according to the given ship shape.
And secondly, calculating the friction resistance coefficient C f according to a given navigational speed V s, an actual ship length L s and a dimensionless ship side wet surface area S s by adopting a formula (2).
And thirdly, calculating the height eta dry of the dry tail sealing plate by adopting a formula (5) according to the dimensionless stern draft t r and the number F r of the ship. And further obtain the wet tail sealing plate area
Fourth step, according to the area of the wet tail sealing plateThe dynamic pressure resistance coefficient/>, of the stern can be obtained by adopting the formula (6)
Fifthly, according to the obtained height eta dry of the dry tail seal plate, respectively adopting formulas (3) and (4), and calculating to obtain the static pressure resistance of the dry tail seal plateStatic pressure resistance of wet tail sealing plate/>
The sixth step, discretizing the geometric shape of the ship body, and calculating Neumann-Michell potential flow according to formulas (7) - (12) to obtain the hydrodynamic resistance of the ship side
Seventh, the coefficient of friction resistance C f, the coefficient of dynamic pressure resistance of the stern, obtained from the above stepsStatic pressure resistance of dry stern seal plate/>Static pressure resistance of wet tail sealing plate/>Ship side dynamic pressure resistance/>The sum results in a total drag coefficient C t.
In this embodiment, the total resistance of the ship model is predicted by using the method of the present invention and the comparison with the test or CFD calculation is given by taking the ship model of NPL-3b and NPL-4a as the objects, see fig. 2, in which the abscissa F r is the Froude number and the ordinate is the total resistance coefficient C t. The solid line (method of the invention) is generally close to the circle (test measurement value) and the broken line (CFD calculation value), which indicates that the total resistance result predicted by the method of the invention is generally consistent with the test measurement value and the CFD calculation result.
FIG. 3 is a schematic representation of a CFD computational fluid domain for verifying the correctness of the method of the present invention. CFD calculations were simulated for the flow field using StarCCM + business software. The control equation adopts a SIMPLE algorithm, the free liquid level is captured by adopting a VOF method, and the range of a flow field (X, Y, Z) is 2.5ls < X < -4ls,0< Y <2ls, -2ls < Z <1.5ls. The y+ range in the boundary layer is 30< y+ <100, and the time step is 0.005s. Specific grid details as shown in fig. 4, the computational grid is approximately 196 tens of thousands.
The patent further adopts an NPL-4a ship type, verifies the distribution of the hydrodynamic pressure p * predicted by the method, and can be seen from the figure 5, the modified Neumann-Michell theory can be seen, and the predicted hydrodynamic pressure distribution is more consistent with the CFD prediction result.
In the present specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, and identical and similar parts between the embodiments are all enough to refer to each other.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (3)
1. A quick forecast method for Fang Weichuan resistance at medium and low navigational speeds based on novel resistance decomposition is characterized by comprising the following steps:
S1, decomposing the square stern ship resistance by adopting a novel resistance decomposition method: according to the wet surface areas of different parts of the ship body and different hydrodynamic components, the total resistance coefficient C t of the ship body is decomposed into a friction resistance coefficient C f and a ship side dynamic pressure resistance coefficient Stern dynamic pressure resistance coefficient/>Static pressure resistance coefficient of dry stern seal plate/>Static pressure resistance coefficient of wet stern seal plate/>
S2, practical calculation of each resistance component: predicting each resistance component by using an existing empirical formula or theoretical calculation method; wherein:
The friction resistance C f is calculated by adopting a ITTC1957 flat friction formula
Wherein: s s is the wet surface area of the side surface of the ship, re is the Reynolds number expressed as Re=v sLs/V, wherein the kinematic viscosity coefficient of water is v=1.14x -6m2/s,Vs and represents the navigational speed, and L s represents the ship length;
static pressure resistance of dry stern seal plate The expression is as follows:
Wherein: The Froude number, V s, the navigational speed, L s, the captain, (x, y, z) the hull curved surface coordinates,/> Representing a normal vector of a curved surface of the ship body; da represents the area of the hull curved discrete units; /(I)Indicating the lowering of the water surface caused by the fluid movement behind the square stern vessel, and forming the dry surface of the tail seal plate;
static pressure resistance of wet tail sealing plate Obtained according to the pressure decomposition method, expressed as:
Wherein: Represents the surface of the wet tail sealing plate, and eta dry represents the height of the dry tail sealing plate;
Dynamic pressure drag coefficient of stern Expressed in terms of the bluff body resistance coefficient C d:
Wherein: Represents wet tail seal plate/> Is simply selected to be C d.apprxeq.0.04;
coefficient of dynamic pressure resistance on ship side The correction calculation is carried out on the Neumann-Michell potential flow theory to obtain:
Wherein: p * represents the side hydrodynamic pressure expressed as
Wherein: Velocity potential/>, respectively X, y, z direction partial derivatives, velocity potential/>To account for local nonlinearity of the free liquid level after square tail, the Neumann-Michell theory is corrected and calculated to be expressed as
Wherein: expressed as Hogner velocity potential
Wherein: g is a Green function;
Expressed as the free liquid surface velocity potential
Wherein:
Where the subscripts x, y, z denote the corresponding partial derivatives, phi denotes the source point velocity potential, Represents the free liquid level of the depression behind the square tail, sigma F represents the average free liquid level, eta 0 represents the shape of the free liquid level behind the square tail, expressed as
Where b s denotes the stern width, l h denotes the length of the wake depression, taken as l h≈bs,
Represents NM speed potential expressed as
Wherein N node represents the number of discrete bin nodes, A ij represents a configuration matrix, which relates to the navigational speed and the geometric shape of the ship body, is consistent with the traditional Neumann-Michell theory calculation method, j represents the number of unit nodes, and phi j represents the speed potential on the j-th node;
s3, forecasting total resistance: the total resistance is predicted by summing the resistance components.
2. The rapid forecast method of Fang Weichuan drag at medium and low speeds based on novel drag decomposition according to claim 1, wherein in step S1, the expression of the total drag coefficient C t of the hull is as follows:
Wherein: frictional resistance C f represents the hull surface frictional resistance; c p represents the compressive resistance; ship side dynamic pressure resistance Representing the integral of hydrodynamic pressure on the side surface of the ship; stern dynamic pressure resistance/>Representing the integral of the hydrodynamic pressure on the stern transom plate surface; static pressure resistance of dry stern seal plate/>Representing the hydrostatic resistance associated with the surface of the dry stern transom due to the lowering of the free liquid level after the transom; static pressure resistance of wet stern seal plate/>Representing the hydrostatic resistance associated with the wet stern transom surface due to the lowering of the free liquid surface after the square tail.
3. The rapid forecasting method for the medium and low navigational speeds Fang Weichuan resistance based on the novel resistance decomposition according to claim 1, wherein the height η dry of the dry tail sealing plate is calculated by adopting the existing empirical formula:
Wherein: c 1＝0.08057,C2＝2.831,tr is dimensionless square stern draft, and T r is actual square stern draft.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001138981A (en) * | 1999-11-18 | 2001-05-22 | Nkk Corp | Viscous resistance estimating method and design method for enlarged ship, and enlarged ship |
| CN104875845A (en) * | 2015-05-08 | 2015-09-02 | 上海佳豪船舶工程设计股份有限公司 | Forecasting method of total resistance of actual ship |
| CN105243203A (en) * | 2015-09-28 | 2016-01-13 | 上海凌耀船舶工程有限公司 | CFD calculation method for forecasting ship resistance |
| CN110110352A (en) * | 2019-03-20 | 2019-08-09 | 浙江海洋大学 | A kind of ship longitudinal direction boat state and Resistance Prediction method based on overlapping grid |
-
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- 2023-09-21 CN CN202311231824.5A patent/CN117332710B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2001138981A (en) * | 1999-11-18 | 2001-05-22 | Nkk Corp | Viscous resistance estimating method and design method for enlarged ship, and enlarged ship |
| CN104875845A (en) * | 2015-05-08 | 2015-09-02 | 上海佳豪船舶工程设计股份有限公司 | Forecasting method of total resistance of actual ship |
| CN105243203A (en) * | 2015-09-28 | 2016-01-13 | 上海凌耀船舶工程有限公司 | CFD calculation method for forecasting ship resistance |
| CN110110352A (en) * | 2019-03-20 | 2019-08-09 | 浙江海洋大学 | A kind of ship longitudinal direction boat state and Resistance Prediction method based on overlapping grid |
Non-Patent Citations (5)
| Title |
|---|
| CFD技术在船舶阻力性能预报中的应用;王诗洋;王超;常欣;黄胜;;武汉理工大学学报;20101115(21);全文 * |
| 一种基于CFD的船舶总阻力预报方法;倪崇本;朱仁传;缪国平;范佘明;;水动力学研究与进展A辑;20100915(05);全文 * |
| 渔政船的阻力计算与预报研究;余建伟;朱仁传;缪国平;倪崇本;;水动力学研究与进展A辑;20110330(02);全文 * |
| 船体阻力数值预报研究及黏性流场计算;王英第;陈彦臻;周伟健;张盛龙;;舰船科学技术;20200108(01);全文 * |
| 赵丙乾 ; 方昭昭 ; 喻露 ; 陈庆任 ; .基于CFD的双艉客船阻力特性分析.中国舰船研究.(03),全文. * |
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