Multi-objective optimization of Tension Leg Platform using evolutionary algorithm based on surrogate model

Xinshu Zhang, Xingyu Song, Wenzhen Qiu, Zhiming Yuan, Yunxiang You, Naiming Deng

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

An Innovative Tension Leg Platform (TLP) Optimization Program, called ITOP, has been developed to solve the multi-objective optimization problem for TLP. We first examine the hydrodynamic behavior of a base TLP for wave headings between 0∘ and 45∘. The numerical results show that the maximum heave and surge motion responses occur in 0∘ wave heading in long-crest waves. It is found that the dynamic tension of No. 8 tendon is larger than the other tendons and reaches its maximum in 45∘ wave heading. It can be attributed to the fact that heave and pitch motions are almost out of phase for wave periods between 10 and 15 s. Because the maximum wave elevation occurs near the northeast column and the vertical motion is very small, the minimum airgap occurs there. Moreover, a surrogate model based on radial basis function (RBF) has been built and adopted to estimate the hydrodynamic performance of TLP. A multi-objective evolutionary algorithm, Non-dominated Sorting Genetic Algorithm II (NSGAII), is employed to find the Pareto-optimal solutions. By comprehensive and systematic computations and analyses, it is revealed that the maximum dynamic tension shows positive correlation with pontoon height and width, but negative correlation with hull draft, column spacing, and column diameter. The most efficient modification strategy for design is proposed to reduce the maximum dynamic tendon tension. According to the strategy, the column spacing, draft, and column diameter should be increased in sequence. By applying this strategy, the maximum dynamic tendon tensions can be reduced while the total weight of the platform is minimized as much as possible.
LanguageEnglish
Pages612-631
Number of pages20
JournalOcean Engineering
Volume148
Early online date6 Dec 2017
DOIs
Publication statusPublished - 15 Jan 2018

Fingerprint

Tension-leg platforms
Multiobjective optimization
Evolutionary algorithms
Tendons
Hydrodynamics
Pontoons
Sorting
Genetic algorithms

Keywords

  • multi-objective optimization
  • TLP
  • airgap
  • tendon tension
  • radial basis function

Cite this

Zhang, Xinshu ; Song, Xingyu ; Qiu, Wenzhen ; Yuan, Zhiming ; You, Yunxiang ; Deng, Naiming. / Multi-objective optimization of Tension Leg Platform using evolutionary algorithm based on surrogate model. In: Ocean Engineering. 2018 ; Vol. 148. pp. 612-631.
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Multi-objective optimization of Tension Leg Platform using evolutionary algorithm based on surrogate model. / Zhang, Xinshu; Song, Xingyu; Qiu, Wenzhen; Yuan, Zhiming; You, Yunxiang; Deng, Naiming.

In: Ocean Engineering, Vol. 148, 15.01.2018, p. 612-631.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Multi-objective optimization of Tension Leg Platform using evolutionary algorithm based on surrogate model

AU - Zhang, Xinshu

AU - Song, Xingyu

AU - Qiu, Wenzhen

AU - Yuan, Zhiming

AU - You, Yunxiang

AU - Deng, Naiming

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N2 - An Innovative Tension Leg Platform (TLP) Optimization Program, called ITOP, has been developed to solve the multi-objective optimization problem for TLP. We first examine the hydrodynamic behavior of a base TLP for wave headings between 0∘ and 45∘. The numerical results show that the maximum heave and surge motion responses occur in 0∘ wave heading in long-crest waves. It is found that the dynamic tension of No. 8 tendon is larger than the other tendons and reaches its maximum in 45∘ wave heading. It can be attributed to the fact that heave and pitch motions are almost out of phase for wave periods between 10 and 15 s. Because the maximum wave elevation occurs near the northeast column and the vertical motion is very small, the minimum airgap occurs there. Moreover, a surrogate model based on radial basis function (RBF) has been built and adopted to estimate the hydrodynamic performance of TLP. A multi-objective evolutionary algorithm, Non-dominated Sorting Genetic Algorithm II (NSGAII), is employed to find the Pareto-optimal solutions. By comprehensive and systematic computations and analyses, it is revealed that the maximum dynamic tension shows positive correlation with pontoon height and width, but negative correlation with hull draft, column spacing, and column diameter. The most efficient modification strategy for design is proposed to reduce the maximum dynamic tendon tension. According to the strategy, the column spacing, draft, and column diameter should be increased in sequence. By applying this strategy, the maximum dynamic tendon tensions can be reduced while the total weight of the platform is minimized as much as possible.

AB - An Innovative Tension Leg Platform (TLP) Optimization Program, called ITOP, has been developed to solve the multi-objective optimization problem for TLP. We first examine the hydrodynamic behavior of a base TLP for wave headings between 0∘ and 45∘. The numerical results show that the maximum heave and surge motion responses occur in 0∘ wave heading in long-crest waves. It is found that the dynamic tension of No. 8 tendon is larger than the other tendons and reaches its maximum in 45∘ wave heading. It can be attributed to the fact that heave and pitch motions are almost out of phase for wave periods between 10 and 15 s. Because the maximum wave elevation occurs near the northeast column and the vertical motion is very small, the minimum airgap occurs there. Moreover, a surrogate model based on radial basis function (RBF) has been built and adopted to estimate the hydrodynamic performance of TLP. A multi-objective evolutionary algorithm, Non-dominated Sorting Genetic Algorithm II (NSGAII), is employed to find the Pareto-optimal solutions. By comprehensive and systematic computations and analyses, it is revealed that the maximum dynamic tension shows positive correlation with pontoon height and width, but negative correlation with hull draft, column spacing, and column diameter. The most efficient modification strategy for design is proposed to reduce the maximum dynamic tendon tension. According to the strategy, the column spacing, draft, and column diameter should be increased in sequence. By applying this strategy, the maximum dynamic tendon tensions can be reduced while the total weight of the platform is minimized as much as possible.

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