Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm

Cihan Bayindir; Onur Üstüner

doi:10.1007/978-3-031-09173-5_102

Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm

Cihan Bayindir^*
, Onur Üstüner

^*Bu çalışma için yazışmadan sorumlu yazar

İnşaat Mühendisliği Bölümü

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

In this paper, we study delayed fluid flows. More specifically, we examine the extraction of delay parameters of fluid flows by the genetic algorithm. With this motivation, we first derive the analytical solutions of some reduced forms of the Navier-Stokes equation with time delay. In these problems, the governing equations simply become delayed diffusion equations. These reduced problems can be named as Stokes second problem (Stokes boundary layer) with delay and Poiseuille flow with delay. We derive the analytical solutions of these problems under the effect of the constant delay. Then, using the velocity profiles of the delayed flows, we show that the delay time can be extracted using the genetic algorithm (GA). We discuss the possible usage, applications, and limitations of our findings.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, A. Cagri Tolga, Selcuk Cebi
Yayınlayan	Springer Science and Business Media Deutschland GmbH
Sayfalar	887-894
Sayfa sayısı	8
ISBN (Basılı)	9783031091728
DOI'lar	https://doi.org/10.1007/978-3-031-09173-5_102
Yayın durumu	Yayınlandı - 2022
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2022 - Izmir, Turkey Süre: 19 Tem 2022 → 21 Tem 2022

Yayın serisi

Adı	Lecture Notes in Networks and Systems
Hacim	504 LNNS
ISSN (Basılı)	2367-3370
ISSN (Elektronik)	2367-3389

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2022
Ülke/Bölge	Turkey
Şehir	Izmir
Periyot	19/07/22 → 21/07/22

Bibliyografik not

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-031-09173-5_102

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Bayindir, C., & Üstüner, O. (2022). Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, A. C. Tolga, & S. Cebi (Eds.), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference (pp. 887-894). (Lecture Notes in Networks and Systems; Hac. 504 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09173-5_102

Bayindir, Cihan ; Üstüner, Onur. / Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm. Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; A. Cagri Tolga ; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. pp. 887-894 (Lecture Notes in Networks and Systems).

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title = "Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm",

abstract = "In this paper, we study delayed fluid flows. More specifically, we examine the extraction of delay parameters of fluid flows by the genetic algorithm. With this motivation, we first derive the analytical solutions of some reduced forms of the Navier-Stokes equation with time delay. In these problems, the governing equations simply become delayed diffusion equations. These reduced problems can be named as Stokes second problem (Stokes boundary layer) with delay and Poiseuille flow with delay. We derive the analytical solutions of these problems under the effect of the constant delay. Then, using the velocity profiles of the delayed flows, we show that the delay time can be extracted using the genetic algorithm (GA). We discuss the possible usage, applications, and limitations of our findings.",

keywords = "Delayed Navier-Stokes equations, GA, Time delay",

author = "Cihan Bayindir and Onur {\"U}st{\"u}ner",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2022 ; Conference date: 19-07-2022 Through 21-07-2022",

year = "2022",

doi = "10.1007/978-3-031-09173-5\_102",

language = "English",

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series = "Lecture Notes in Networks and Systems",

publisher = "Springer Science and Business Media Deutschland GmbH",

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booktitle = "Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference",

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Bayindir, C & Üstüner, O 2022, Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, AC Tolga & S Cebi (eds), Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Lecture Notes in Networks and Systems, hac. 504 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 887-894, International Conference on Intelligent and Fuzzy Systems, INFUS 2022, Izmir, Turkey, 19/07/22. https://doi.org/10.1007/978-3-031-09173-5_102

Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm. / Bayindir, Cihan; Üstüner, Onur.
Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; A. Cagri Tolga; Selcuk Cebi. Springer Science and Business Media Deutschland GmbH, 2022. p. 887-894 (Lecture Notes in Networks and Systems; Hac. 504 LNNS).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm

AU - Bayindir, Cihan

AU - Üstüner, Onur

PY - 2022

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N2 - In this paper, we study delayed fluid flows. More specifically, we examine the extraction of delay parameters of fluid flows by the genetic algorithm. With this motivation, we first derive the analytical solutions of some reduced forms of the Navier-Stokes equation with time delay. In these problems, the governing equations simply become delayed diffusion equations. These reduced problems can be named as Stokes second problem (Stokes boundary layer) with delay and Poiseuille flow with delay. We derive the analytical solutions of these problems under the effect of the constant delay. Then, using the velocity profiles of the delayed flows, we show that the delay time can be extracted using the genetic algorithm (GA). We discuss the possible usage, applications, and limitations of our findings.

AB - In this paper, we study delayed fluid flows. More specifically, we examine the extraction of delay parameters of fluid flows by the genetic algorithm. With this motivation, we first derive the analytical solutions of some reduced forms of the Navier-Stokes equation with time delay. In these problems, the governing equations simply become delayed diffusion equations. These reduced problems can be named as Stokes second problem (Stokes boundary layer) with delay and Poiseuille flow with delay. We derive the analytical solutions of these problems under the effect of the constant delay. Then, using the velocity profiles of the delayed flows, we show that the delay time can be extracted using the genetic algorithm (GA). We discuss the possible usage, applications, and limitations of our findings.

KW - Delayed Navier-Stokes equations

KW - GA

KW - Time delay

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BT - Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference

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A2 - Sari, Irem Ucal

A2 - Tolga, A. Cagri

A2 - Cebi, Selcuk

PB - Springer Science and Business Media Deutschland GmbH

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Bayindir C, Üstüner O. Extraction of Delay Parameters of Fluid Flows by Genetic Algorithm. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Tolga AC, Cebi S, editörler, Intelligent and Fuzzy Systems - Digital Acceleration and The New Normal - Proceedings of the INFUS 2022 Conference. Springer Science and Business Media Deutschland GmbH. 2022. p. 887-894. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-09173-5_102