Optimal Design of Submarine Pipelines by a Genetic Algorithm with Embedded On-Bottom Stability Criteria
المؤلفون المشاركون
de Lima, Beatriz Souza Leite Pires
Baioco, Juliana Souza
de Lima, Mauro Henrique Alves
Albrecht, Carl Horst
Rocha, Djalene Maria
Jacob, Breno Pinheiro
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-21، 21ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2018-03-11
دولة النشر
مصر
عدد الصفحات
21
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1205828
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر