CN-121997838-A - Marine wind wave and current combined load working condition sampling method

CN121997838ACN 121997838 ACN121997838 ACN 121997838ACN-121997838-A

Abstract

A sampling method for ocean wind wave current combined load working conditions belongs to the field of ocean engineering structures. Based on the combined distribution of ocean wave current, the invention carries out the combined sampling through the distribution characteristic analysis of six actually measured environmental parameters of wind speed, wind direction, wave height, period, flow speed and flow direction, generates the combined working condition for engineering design and structural operation and maintenance, verifies the rationality of the calculation result and considers the extreme working condition of extreme sea condition. According to the method, based on statistical analysis of past monitoring data, typical wind wave current combined distribution sea conditions used for simulation, verification and check in the ocean engineering design process are obtained, and the workload of simulation calculation can be greatly reduced. The method can be used for fusing the actual measurement environment load data accumulated after the platform is in service, and improving the accuracy of distribution fitting and the representativeness of sea condition sampling. The method is suitable for monitoring deep water jacket platforms by applying to the field, and is suitable for the fields of ocean engineering such as platform design, operation and maintenance and the like.

Inventors

ZHOU LEI
WANG DEYANG
ZENG CHEN
CHENG CONGZHI
SI ZHIHAO
Yue Aming
WANG HUOPING
ZHU DONGXU
WU WENHUA
XU HAO
ZHANG RENLONG
WANG WEIWEI
ZHANG CHUANJIE
LIU LEI

Assignees

中海石油(中国)有限公司深圳分公司
海洋石油工程股份有限公司
大连科迈尔海洋科技有限公司
大连理工大学

Dates

Publication Date: 20260508
Application Date: 20260227
Priority Date: 20250703

Claims (9)

1. A sampling method for ocean wave and current combined load conditions is characterized in that: A signal modulation module (5), a signal transmission module (6) and a signal storage module (7) are arranged in an internet of things transmission node (13), and the method comprises the following steps: s1, determining symmetry axes and wind load and wind direction distribution characteristics of a platform by combining monitoring data obtained by monitoring the structural characteristics of a deepwater jacket platform and hardware foundations; S2, based on the wind load direction in the step S1, aiming at wind speed statistical analysis of the direction, fitting wind speed-wind direction distribution characteristics, and extrapolating wind speed in space according to the existing ocean engineering design specification; s3, fitting the wave height-period joint distribution characteristic under the condition based on the wind speed in a certain direction in the step S2; S4, calculating wind-wave joint distribution characteristics based on the wave height-period joint distribution characteristics and the wind speed-wind direction distribution characteristics; s5, adjusting the wind load direction, and carrying out the steps S2-S4 again to obtain the wind speed, the wind direction, the wave height and the periodic wind-wave combined distribution characteristics; S6, independently counting flow direction characteristics, and determining a flow load direction; s7, fitting the flow velocity distribution in the direction based on the flow load direction in the step S6; S8, changing the flow load direction in the step S6, and repeating the step S7 to obtain the flow speed-flow direction joint distribution characteristic; s9, adjusting the split point, and sampling according to the stroke-wave joint distribution characteristic in the step S4 and the flow speed-flow direction distribution characteristic in the step S8 to obtain a stroke-wave sampling working condition and a flow speed-flow direction sampling working condition; s10, traversing all combinations of wind-wave sampling working conditions and flow speed-flow direction sampling working conditions in the step S9 to obtain wind-wave-flow combined working conditions; S11, changing the dividing point in the step S9, and repeating the step S10 to obtain wind-wave-flow verification working conditions; S12, extrapolating extreme working condition distribution according to the monitoring data, and obtaining wind-wave-flow extreme working conditions in the wind load direction and the flow load direction in the previous steps.
2. The ocean wave and current combined load working condition sampling method is characterized in that a hardware foundation of the method comprises a monitoring end (12), a central controller (11) and a display end (10), wherein the central controller (11) is electrically connected with a signal receiver (8) through an industrial personal computer (9), the signal receiver (8) is electrically connected with an Internet of things transmission node (13) in the monitoring end (12), and an anemometer (1), a wave measuring radar (2), a current meter (3), a fiber grating strain sensor (4) and the Internet of things transmission node (13) are electrically connected in the monitoring end (12).
3. The method for sampling the ocean wave and current combined load working condition according to claim 1, wherein the working condition is six-dimensional data including wind direction, wind speed, sense wave height, spectrum peak period, flow direction and surface flow velocity.
4. The method for sampling the ocean wave and current combined load conditions according to claim 1, wherein in the step S2, the distribution of the average wind speed U 10 is fitted by adopting two-parameter Weibull distribution according to the existing ocean engineering design specification, and the distribution is extrapolated in space.
5. The method for sampling ocean wave and current combined load conditions according to claim 1, wherein in the step S3, the wave height-period combined distribution characteristic is fitted by adopting lognormal distribution fitting, and the wave height is matched with the distribution characteristic of zero-period data.
6. The method for sampling ocean wave and current combined load conditions according to claim 5, wherein the sense wave height distribution describes the distribution characteristics of sense wave heights by adopting three-parameter Weibull distribution.
7. The method for sampling ocean wave and current combined load conditions according to claim 1, wherein the flow velocity distribution in the step S7 is statistically analyzed for ocean current load; The original data can be represented as a linear superposition of several orders of EOF modalities based on EOF decomposition: Wherein V c is a ocean current profile, N is the total number of EOF modes, m is the selected EOF mode number, and EOF i is the ith-order EOF mode; the time course of the superficial flow velocity v 0 is known, i.e., the time course of a 1 can be obtained according to the above equation, and then the total superficial flow velocity can be obtained based on the first-order EOF mode.
8. The method for sampling ocean wave and current combined load conditions according to claim 1, wherein the wind load direction is adjusted, the wind load direction interval is 30 degrees, the current load direction is changed, and the current load direction interval is 45 degrees.
9. The method for sampling the ocean wave and current combined load working condition according to claim 1, wherein the extreme working condition, the wind load direction and the main flow load direction are selected from the directions with highest frequency of occurrence of extreme values, the artificial wave height and the reproduction period are fitted by using pareto distribution, the spectrum peak period corresponding to the given artificial wave height is approximately obtained by using a regression mode, and the fitting surface flow velocity of Gumbel distribution is adopted; The spectrum peak period corresponding to the given sense wave height is approximately obtained by adopting a regression mode, and the regression model is as follows: and obtaining optimal parameters by fitting based on the sense wave height and the spectrum peak period extremum.

Description

Marine wind wave and current combined load working condition sampling method Technical Field The invention relates to a sampling method for ocean wind, wave and current combined load working conditions, and belongs to the field of ocean engineering structures. Background Ocean platforms generally work at a certain sea area at fixed points and bear the load of ocean environment for a long time. For the design and operation of ocean engineering structures, the response of the structure under different ocean environment working conditions needs to be calculated. The jacket structure is stressed, corrosion-resistant, durable and has higher requirements on fatigue damage. In order to ensure long-term safe service of the deepwater jacket platform, the construction and operation of the platform are eager to obtain more reasonable calculation results through a simulation or model test based on hydrodynamics. Hydrodynamic simulation uses mathematical models and computational algorithms to transform the physical process of fluid flow into mathematical equations, which are then solved numerically to predict the behavior and characteristics of the fluid under different conditions. Hydrodynamic model testing utilizes experimental equipment and measuring instruments to observe and measure characteristics of fluid flow by constructing a model similar to actual engineering. The method for realizing distribution characteristic analysis and calculation working condition selection based on actual measurement environment load data on the ocean platform requires calculation of the response of the structure under different ocean environment working conditions according to the actual measurement data of the studied ocean area, the ocean platform is formed by welding thousands of thin-wall cylindrical rods, the structure is numerous and miscellaneous, part of the structure is in a deepwater area, and the sensor is difficult to be arranged to carry out monitoring work. Therefore, the digital technology of the ocean platform is realized, and the actual measurement data of the studied sea area is needed to calculate the response of the structure under different ocean environment working conditions. Disclosure of Invention Aiming at the problems, the invention aims to relate to a sampling method for the marine wind wave and current combined load working condition. The method can utilize marine environment monitoring data and perform distribution characteristic analysis on marine detection data so as to calculate and select working conditions, and the working conditions are displayed on related software of the ocean platform in real time. In order to achieve the above purpose, the present invention adopts the following technical scheme: a hardware foundation of the method comprises a monitoring end, a central controller and a display end, wherein the central controller is electrically connected with a signal receiver through an industrial personal computer, the signal receiver is electrically connected with an Internet of things transmission node in the monitoring end, and an anemograph, a wave-measuring radar, a ocean current and fiber grating strain sensor in the monitoring end is electrically connected with the Internet of things transmission node. A sampling method for ocean wave and current combined load conditions comprises the following steps: A. Determining a symmetry axis and a main wind load direction of the platform by combining the structural characteristics of the deepwater jacket platform and the nearby sea area monitoring data obtained by the hardware foundation monitoring; B. Based on a certain wind load direction in the step A, aiming at wind load and wind speed statistical analysis in the direction, simulating wind speed distribution characteristics, and extrapolating the wind speed in space according to the existing ocean engineering design specification; C. b, fitting the joint distribution characteristics of wave height and period under the condition based on the wind load of a certain direction and wind speed in the step B; D. calculating wind-wave combined distribution based on the wave height-period combined distribution characteristics in the step C and the wind speed-wind direction distribution characteristics in the step B; E. And (3) changing the wind load direction in the step A, and repeating the step B, C, D to obtain the wind speed-wind direction-wave height-period combined distribution characteristic. F. Independently counting flow direction characteristics and determining the main flow load direction; G. f, fitting the flow velocity distribution in a certain flow load direction based on the flow load direction in the step F; H. And F, changing the wind load direction in the step F, and repeating the step G to obtain the flow velocity-flow direction joint distribution characteristic. I. According to actual conditions, adjusting the dividing points, and sampling according to stroke-wave joint distributio