KR-20260063849-A - System and Method For Gas Tank Design Automation

KR20260063849AKR 20260063849 AKR20260063849 AKR 20260063849AKR-20260063849-A

Abstract

The present invention provides a design automation system and method that can be used in the design of liquefied gas tanks. For example, a design automation system may be provided that automatically provides a design for a gas tank upon a user's request, comprising: a database unit that stores design values required for tank design as a data set; and a metamodel generation unit that selects a dominant parameter and selects a metamodel based on the data set of the database unit, wherein the metamodel generation unit can provide an optimized gas tank analysis result using the dominant parameter as a design variable.

Inventors

이지훈
장형운
최병일
정연호

Assignees

에이치디한국조선해양 주식회사

Dates

Publication Date: 20260507
Application Date: 20241031

Claims (12)

In a system that automatically provides gas tank designs based on user requests, A database unit that stores design values required for tank design as a data set; and It includes a metamodel generation unit that selects dominant parameters and selects a metamodel based on the data set of the database unit above, and The above metamodel generation unit is a system that provides an analysis result of an optimized gas tank using the above dominant parameter as a design variable.
In Article 1, The above database unit is a system that stores the analysis results of the above-mentioned optimized gas tank.
In Article 1, The above database unit is a system that learns and stores the above interpretation results.
In Article 1, The above metamodel generation unit is a system that selects the dominant parameters, including shape variables, material variables, and load variables, from the above data set.
In Article 1, The above metamodel generation unit is a system that selects the above dominant parameter as a design variable by sampling variables using the Monte Carlo technique.
In Article 1, The above metamodel generation unit is a system that evaluates the reliability of the above metamodel using the Monte Carlo technique.
In a method for automatically providing a gas tank design according to a user's request, A step in which the database unit stores design values required for tank design as a data set; and The metamodel generation unit includes the step of selecting a dominant parameter and selecting a metamodel based on the data set of the database unit, and A method in which the above metamodel generation unit provides an analysis result of an optimized gas tank using the above dominant parameter as a design variable.
In Article 7, The above database unit is a method for storing the analysis results of the above-described optimized gas tank.
In Article 7, The above database unit is a method of learning and storing the above interpretation results.
In Article 7, The above metamodel generation unit is a method for selecting the dominant parameter, including shape variables, material variables, and load variables, from the above data set.
In Article 7, The above metamodel generation unit is a method for selecting the above dominant parameter as a design variable by sampling variables using the Monte Carlo technique.
In Article 7, The above metamodel generation unit is a method for evaluating the reliability of the above metamodel using the Monte Carlo technique.

Description

System and Method for Gas Tank Design Automation The present invention relates to a design automation system and method that can be used in the design of a liquefied gas tank. Liquefied gas carriers are used to transport liquefied gases such as liquefied natural gas (LNG) or liquefied petroleum gas (LPG). Liquefied gas carriers are broadly classified into independent tank type and membrane type based on the shape of the tank. In the independent tank type, the storage tank is not formed integrally with the hull but is supported by the hull's saddle supports as an independent tank. The independent tank type is classified into Type A, Type B, or Type C depending on the number of barriers installed to prevent liquefied gas leakage and the operating pressure. Type A has a structure in which both primary and secondary barriers are installed; Type B has a structure in which a primary barrier is installed and a drip tray is installed to prevent leakage from the primary barrier; and Type C has a structure in which a primary barrier is installed as a pressure vessel. The membrane type is a method in which the tank is formed integrally with the hull. Such tanks are designed through processes such as 3D CAD work, 1D modeling or 3D modeling, and structural performance analysis. FIG. 1 is a schematic diagram of a tank design automation system according to one embodiment of the present invention. FIG. 2 is a flowchart of a tank design automation method according to one embodiment of the present invention. Figure 3 shows the detailed steps of database creation and dataset definition of the interpretation results of Figure 2. Figure 4 is a detailed step of the meta-model definition of Figure 2. Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the attached drawings. The embodiments of the present invention are provided to more fully explain the present invention to those skilled in the art, and the following embodiments may be modified in various different forms, and the scope of the present invention is not limited to the following embodiments. Rather, these embodiments are provided to make the present disclosure more faithful and complete and to fully convey the spirit of the present invention to those skilled in the art. Additionally, in the drawings below, the thickness or size of each layer is exaggerated for convenience and clarity of explanation, and like reference numerals in the drawings refer to like elements. As used herein, the term "and/or" includes any one of the listed items and all combinations of one or more thereof. Also, as used herein, the meaning of "connected" implies not only the case where Member A and Member B are directly connected, but also the case where Member C is interposed between Member A and Member B so that Member A and Member B are indirectly connected. The terms used herein are for describing specific embodiments and are not intended to limit the invention. As used herein, the singular form may include the plural form unless the context clearly indicates otherwise. Also, as used herein, "comprise, include" and/or "comprising, including" specify the presence of the mentioned features, numbers, steps, actions, members, elements, and/or groups thereof, and do not exclude the presence or addition of one or more other features, numbers, actions, members, elements, and/or groups. Although terms such as "first," "second," etc. are used in this specification to describe various components, parts, regions, layers, and/or parts, it is obvious that these components, parts, regions, layers, and/or parts should not be limited by these terms. These terms are used solely to distinguish one component, part, region, layer, or part from another region, layer, or part. Accordingly, the first component, part, region, layer, or part described below may refer to the second component, part, region, layer, or part without departing from the teachings of the present invention. Spatial terms such as "beneath," "below," "lower," "above," and "upper" may be used to facilitate understanding of one element or feature depicted in the drawings and another element or feature. These spatial terms are intended to facilitate understanding of the invention according to various process or usage conditions of the invention and are not intended to limit the invention. For example, if an element or feature in the drawings is inverted, an element or feature described as "beneath" or "below" becomes "upper" or "on top." Therefore, "below" is a concept that encompasses "upper" or "below." FIG. 1 is a schematic diagram of a tank design automation system according to one embodiment of the present invention. Referring to FIG. 1, a tank design automation system (100) according to one embodiment of the present invention may include a database unit (110), a data set (120), a metamodel generation unit (130), an optimization design unit (140), an analysis result display unit (150), a