Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria
Joint Authors
de Lima, Beatriz Souza Leite Pires
Baioco, Juliana Souza
de Lima, Mauro Henrique Alves
Albrecht, Carl Horst
Rocha, Djalene Maria
Jacob, Breno Pinheiro
Source
Mathematical Problems in Engineering
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-21, 21 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-11
Country of Publication
Egypt
No. of Pages
21
Main Subjects
Abstract EN
This work describes a computational tool, based on an evolutionary algorithm, for the synthesis and optimization of submarine pipeline routes considering the incorporation of on-bottom stability criteria (OBS).
This comprises a breakthrough in the traditional pipeline design methodology, where the definition of a route and the stability calculations had been performed independently: firstly, the route is defined according to geographical-topographical issues (including manual/visual inspection of seabed bathymetry and obstacles); afterwards, stability is verified, and mitigating procedures (such as ballast weight) are specified.
This might require several design spirals until a final configuration is reached, or (most commonly) has led to excessive costs for the mitigation of instability problems.
The optimization tool evaluates each candidate route by incorporating, as soft and hard constraints, several criteria usually considered in the manual design (pipeline length, bathymetry data, obstacles); also, with the incorporation of OBS criteria into the objective function, stability becomes an integral part of the optimization process, simultaneously handling minimization of length and cost of mitigating procedures.
Case studies representative of actual applications are presented.
The results show that OBS criteria significantly influences the best route, indicating that the tool can reduce the design time of a pipeline and minimize installation/operational costs.
American Psychological Association (APA)
Baioco, Juliana Souza& de Lima, Mauro Henrique Alves& Albrecht, Carl Horst& de Lima, Beatriz Souza Leite Pires& Jacob, Breno Pinheiro& Rocha, Djalene Maria. 2018. Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria. Mathematical Problems in Engineering،Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1205828
Modern Language Association (MLA)
Baioco, Juliana Souza…[et al.]. Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria. Mathematical Problems in Engineering No. 2018 (2018), pp.1-21.
https://search.emarefa.net/detail/BIM-1205828
American Medical Association (AMA)
Baioco, Juliana Souza& de Lima, Mauro Henrique Alves& Albrecht, Carl Horst& de Lima, Beatriz Souza Leite Pires& Jacob, Breno Pinheiro& Rocha, Djalene Maria. Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria. Mathematical Problems in Engineering. 2018. Vol. 2018, no. 2018, pp.1-21.
https://search.emarefa.net/detail/BIM-1205828
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205828