Wave load fast forecasting method for damaged boat on basis of agent model
A proxy model and wave load technology, which is applied in the direction of ship safety, electrical digital data processing, special data processing applications, etc., can solve the problem of long time-consuming wave load solution, and achieve unified coordination, short calculation time, and high accuracy Effect
Active Publication Date: 2018-10-26
中国人民解放军92942部队 +1
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Problems solved by technology
[0004] The purpose of the present invention is to solve the time-consuming problem of solving the wave load for the real damaged hull navigation environment, and provide a damaged hull wave load prediction method based on a proxy model that can quickly obtain the wave load of the damaged hull under the premise of ensuring effective accuracy
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[0027] Taking a certain type of bulk carrier as an example, the method of the present invention is used to construct a damaged hull wave load proxy model suitable for the bulk carrier. The main parameters of the bulk carrier are as follows:
[0028]
[0029] 1) Determine the design variables
[0030] Design variables must be independent of each other. Considering that the sample space will grow exponentially with the increase of the number of design variables, in order to simplify the construction of the fast proxy model for wave loads, when determining the design variables, the variables that have little influence on the wave loads may not be considered.
[0031] Factors affecting wave loads can be divided into three categories: hull characteristic parameters (such as buoyancy parameters, weight distribution, etc.), navigation parameters (speed, course, etc.), and sea state parameters (wave height, period, etc.).
[0032] For the first category of factors affecting wave ...
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The invention provides a wave load fast forecasting method for a damaged boat on the basis of an agent model. The method is characterized by comprising the following steps of 1, determining four factors including the positions of damaged cabins, a corresponding weight addition amount coefficient, navigational speed and the sea state as design variables; 2, generating a sample space according to the design variables; 3, calculating load response of each sample point in the sample space, and outputting the bending moment and shearing value of each standing position of the boat; 4, constructing awave load forecasting agent model for the damaged boat; 5, repeating steps 2, 3 and 4 until the wave load forecasting agent model for the damaged boat meets precision requirements; 6, setting designvariable input corresponding to an arbitrary damage state, and applying the wave load forecasting agent model for the damaged boat to figure out a wave load of the damaged boat. By means of the method, the problem that the time consumed for calculating the wave load of the damaged boat is long can be solved, and on the premise of ensuring the effective precision, the wave load of the damaged boatis obtained quickly.
Description
technical field [0001] The invention belongs to the technical field of ship safety prediction and evaluation, in particular to a method for rapidly predicting wave loads of damaged hulls based on a proxy model. Background technique [0002] The external loads borne by ships navigating in waves can be divided into hydrostatic loads generated in still water state and additional wave loads generated by waves (referred to as wave loads). The external load of the hull is closely related to the floating state of the hull. When a ship encounters accidental conditions (such as grounding, collision, explosion, etc.) during voyage, the structure below the waterline may be damaged. On the one hand, the floating state of the hull will change, which will change the external load of the hull; on the other hand, the ultimate bearing capacity of the hull will decrease with structural damage. In order to meet the requirements of safe navigation of the ship, when the hull structure has a br...
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IPC IPC(8): G07C5/08G06F17/50B63B43/00
CPCB63B43/00G07C5/0808G06F30/20
Inventor 李良伟杜俭业李炜刘平张攀程远胜李梦豪
Owner 中国人民解放军92942部队