CN-122019911-A - Method for rapidly forecasting air gap of ocean engineering platform
Abstract
A method for rapidly forecasting the air gap of ocean engineering platform includes such steps as determining the relative wave surface motion correction factor of the development platform parameter relative to the parameter difference of mother platform, and obtaining the extreme value of the relative wave surface motion of mother platform and the extreme value of the relative wave surface motion of each instance point. And listing sea state combinations which are required to be contained in the self-stored sea state of the development platform according to the standard requirements to obtain the air gap extremum of each point of the development platform under each independent sea state, wherein the final air gap extremum of each point is the minimum air gap extremum under each independent sea state. The invention combines the data of the mother platform and provides a semi-submersible platform air gap forecasting method, a platform upright post height design and a sea condition screening method suitable for platform operation and survival, which are suitable for a semi-submersible platform scheme design stage, but not limited to the scheme design stage, and are efficient, quick, accurate and reliable.
Inventors
- LI SHUN
- LIU XIANGJIAN
- LENG AWEI
- PENG DONGSHENG
- WANG JINFENG
- SUN JIANFEI
Assignees
- 大连船舶重工集团有限公司
Dates
- Publication Date
- 20260512
- Application Date
- 20251212
Claims (6)
- 1. A method for rapidly forecasting an air gap of an ocean engineering platform is characterized in that, S1, firstly, listing a basic parameter comparison table of a mother platform and a development platform, The influence factors of the transverse and longitudinal spacing parameters of the upright post on the relative wave surface motion of each point are respectively obtained by a simple linear regression method of a mathematical statistics method , Obtaining a relative wave surface motion correction factor Cpara of each point of the development platform relative to the parameter difference of the mother platform; ; ; C Para =C Lateral spacing ×C Longitudinal spacing ; S2, relative wave surface movement extreme value under short-term sea conditions of unit sense wave height and different average zero-crossing periods through forecasting each instance point Pn (X opi ,Y opi ,Z opi ) of mother platform ; Coordinate conversion is carried out on the relative wave surface motion extreme values of the example points, the example points on the lower surface of the mother platform are corresponding to Pn (X i ,Y i ,Z i ) on the development platform through the coordinate conversion relation, and the relative wave surface motion extreme values of the example points of the development platform under the short-term sea conditions with unit sense wave height and different average zero-crossing periods are obtained ; The specific conversion formula is as follows: X i =X opi ×L f /L t ; Y i =Y opi ×B f /B t ; Z i =DH; ; Wherein f is any point of the development platform, t is any point of the mother platform, and DH represents the top height of the upright post of the development platform; S3, listing sea condition combinations which need to be contained in the self-stored sea conditions (Hs, tz) of the development platform, obtaining air gap extremum of each example point of the development platform under each independent sea condition combination through formulas (1) and (2), (1); (2); And the minimum air gap extremum value under each independent sea condition combination is the final air gap extremum value of each example point.
- 2. The method for rapid air gap forecast of an ocean engineering platform according to claim 1, wherein in step S1, 。
- 3. The method for rapidly forecasting the air gap of the ocean engineering platform according to claim 1, wherein in the step S3, the self-existing sea condition of the development platform is set to be hs=10m, tz=10.9S.
- 4. The method for rapidly forecasting the air gap of the ocean engineering platform according to claim 1, wherein the relative wave surface motion influence factor Cpara of each instance point is obtained through a simple linear regression method.
- 5. The method for rapidly forecasting the air gap of the ocean engineering platform according to claim 1, wherein when the designed sea condition is designated as a parameter (H S ,T Z ), the static air gap extremum Ag static of each point under the designed sea condition can be obtained by the following formula: ; ; When the air gap extremum limit minimum value min Ag and the design sea state parameter (H S ,T Z ) are specified, the static air gap minimum design value min Agstatic can be obtained according to the following formula: ; DH represents the top height of the upright post of the development platform, and T represents the draft of the development platform corresponding to the loading working condition of air gap forecast.
- 6. The method for rapidly forecasting the air gap of the ocean engineering platform according to claim 1, wherein the basic parameter comparison table of the mother platform and the development platform is as follows: Mother type platform Development platform Total length (Rice) Total width (Rice) Vertical column longitudinal spacing (rice) Column transverse spacing (meter) Self-storing working condition draft (rice) Upright post top end height (Rice) 。
Description
Method for rapidly forecasting air gap of ocean engineering platform Technical Field The invention belongs to the field of marine ship construction and design, and particularly relates to a method for rapidly forecasting an air gap of an ocean engineering platform. Background The general air gap extremum forecasting process of semi-submersible platform adopted in the industry comprises the steps of summarizing the characteristic information of the semi-submersible platform, collecting sea condition parameters suitable for design, forecasting the relative motion of the platform and sea surface and counting the air gap extremum. The method comprises the steps of summarizing characteristic information of a target semi-submersible platform, namely collecting characteristic parameters including geometric shapes, platform weight, gravity center position and information reflecting platform weight distribution, collecting sea condition parameters suitable for design of the platform, namely target platform operation and living sea environment parameters, forecasting relative motion of the platform and the sea surface, and forecasting relative distance change between each point on the surface of the platform by a hydrodynamic numerical simulation method, wherein a hydrodynamic numerical simulation method based on potential flow theory is generally adopted, and counting air gap extremum is obtained under the probability level of design specification or design requirement according to a probability statistical method. The method can accurately obtain the air gap extremum of the platform as a checking method, but has obvious defects when the air gap extremum of the platform is forecasted, the height of the feedback stand column is optimized and selected and the air gap extremum is forecasted rapidly under any appointed sea condition in the scheme design stage of the semi-submersible platform, and is specifically characterized in that: 1) In the stage of platform scheme design, the air gap extremum of the platform is difficult to forecast. Because various basic parameters such as the geometric profile of the platform, the weight of the platform and the like cannot be accurately determined in one step, the basic parameters of the platform are various in combination. If the combination modes of different parameters are respectively forecast, the forecasting work is time-consuming, and the labor is wasted. 2) Whether the height design of the upright post is reasonable cannot be timely fed back, and the final design quality is affected. As the height of the stand column directly influences the air gap extremum of the platform, in the stage of the design of the platform scheme, as described in (1), a reliable and reasonable air gap extremum forecasting result cannot be obtained, and the height design of the stand column cannot be reasonably guided. 3) Screening semi-submersible platforms is suitable for operation or long time consuming for survival of sea conditions. Because the sea state parameters of different sea areas in the world are different, if numerical modeling forecasting is performed according to the different sea state parameters, the workload is large, and the forecasting is time-consuming. In the scheme design stage of the semi-submersible platform, literature (research on a deepwater semi-submersible platform still water air gap estimation method, wang Mengying) discloses a rough air gap estimation method, the maximum amplitude of the platform design sea condition is obtained by assuming that the maximum amplitude of the semi-submersible platform along with wave heave and the maximum amplitude of the wave amplitude reach 10%, and a probability statistical method is adopted, wherein the air gap of the platform is equal to the static air gap minus 90% of the maximum amplitude. Through verification of several types of mature products, the method is simple and convenient to forecast, but has far different accuracy and poor engineering applicability. Disclosure of Invention In order to solve the problems, the invention provides a method for rapidly forecasting the air gap of an ocean engineering platform, which adopts the following technical scheme: A method for rapidly forecasting an air gap of an ocean engineering platform comprises the following specific processes: s1, firstly, listing a basic parameter comparison table of a mother platform and a development platform, Mother type platformDevelopment platformTotal length (Rice)Total width (Rice)Vertical column longitudinal spacing (rice)Column transverse spacing (meter)Self-storing working condition draft (rice)Upright post top end height (Rice) 。 The influence factors of the transverse and longitudinal spacing parameters of the upright post on the relative wave surface motion of each point are respectively obtained by a simple linear regression method of a mathematical statistics methodObtaining a relative wave surface motion correction factor Cpara of each poin