Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms

Cihan Bayındır; Tayyibe Erişti; Ali Rıza Alan

doi:10.1007/978-3-031-67195-1_60

Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms

Cihan Bayındır^*, Tayyibe Erişti, Ali Rıza Alan

^*Corresponding author for this work

Department of Civil Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this study, we investigate the usability of the sparse identification of nonlinear dynamics (SINDy) algorithm in modeling the mechanisms of coastal and port hydrodynamic processes. In the SINDy approach, the primary goal is to explain the drift paths of objects and particles determined through computational or measurement techniques with a minimal number of sparse component ordinary differential equations. We reconstruct the drift paths and time series by analyzing Lagrangian drifter data obtained through a floating buoy in the Pacific Ocean. With the obtained data, we specifically examine the applicability of the SINDy algorithm in modeling hydrodynamic effects in coastal and port hydrodynamics. We propose that the SINDy-based algorithmic approach can quickly and accurately predict region-specific coastal and port hydrodynamics equations in events and disasters of the specified type. Also, an assessment is provided about the practical applications, usage areas, and potential research areas related to our findings.

Original language	English
Title of host publication	Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
Editors	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	542-548
Number of pages	7
ISBN (Print)	9783031671944
DOIs	https://doi.org/10.1007/978-3-031-67195-1_60
Publication status	Published - 2024
Event	International Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey Duration: 16 Jul 2024 → 18 Jul 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1089 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	International Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/Territory	Turkey
City	Canakkale
Period	16/07/24 → 18/07/24

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Keywords

Coastal and Port Hydrodynamics
Computational Sparse Systems
SINDy
xL-SINDY

Access to Document

10.1007/978-3-031-67195-1_60

Cite this

Bayındır, C., Erişti, T., & Alan, A. R. (2024). Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. Ucal Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference (pp. 542-548). (Lecture Notes in Networks and Systems; Vol. 1089 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-67195-1_60

Bayındır, Cihan ; Erişti, Tayyibe ; Alan, Ali Rıza. / Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms. Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. editor / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. pp. 542-548 (Lecture Notes in Networks and Systems).

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title = "Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms",

abstract = "In this study, we investigate the usability of the sparse identification of nonlinear dynamics (SINDy) algorithm in modeling the mechanisms of coastal and port hydrodynamic processes. In the SINDy approach, the primary goal is to explain the drift paths of objects and particles determined through computational or measurement techniques with a minimal number of sparse component ordinary differential equations. We reconstruct the drift paths and time series by analyzing Lagrangian drifter data obtained through a floating buoy in the Pacific Ocean. With the obtained data, we specifically examine the applicability of the SINDy algorithm in modeling hydrodynamic effects in coastal and port hydrodynamics. We propose that the SINDy-based algorithmic approach can quickly and accurately predict region-specific coastal and port hydrodynamics equations in events and disasters of the specified type. Also, an assessment is provided about the practical applications, usage areas, and potential research areas related to our findings.",

keywords = "Coastal and Port Hydrodynamics, Computational Sparse Systems, SINDy, xL-SINDY",

author = "Cihan Bayındır and Tayyibe Eri{\c s}ti and Alan, {Ali Rıza}",

note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.; International Conference on Intelligent and Fuzzy Systems, INFUS 2024 ; Conference date: 16-07-2024 Through 18-07-2024",

year = "2024",

doi = "10.1007/978-3-031-67195-1_60",

language = "English",

isbn = "9783031671944",

series = "Lecture Notes in Networks and Systems",

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

pages = "542--548",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and {Ucal Sari}, Irem and Selcuk Cebi and Tolga, {A. Cagri}",

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address = "Germany",

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Bayındır, C, Erişti, T & Alan, AR 2024, Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms. in C Kahraman, S Cevik Onar, B Oztaysi, I Ucal Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Lecture Notes in Networks and Systems, vol. 1089 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 542-548, International Conference on Intelligent and Fuzzy Systems, INFUS 2024, Canakkale, Turkey, 16/07/24. https://doi.org/10.1007/978-3-031-67195-1_60

Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms. / Bayındır, Cihan; Erişti, Tayyibe; Alan, Ali Rıza.
Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A. Cagri Tolga. Springer Science and Business Media Deutschland GmbH, 2024. p. 542-548 (Lecture Notes in Networks and Systems; Vol. 1089 LNNS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms

AU - Bayındır, Cihan

AU - Erişti, Tayyibe

AU - Alan, Ali Rıza

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

PY - 2024

Y1 - 2024

N2 - In this study, we investigate the usability of the sparse identification of nonlinear dynamics (SINDy) algorithm in modeling the mechanisms of coastal and port hydrodynamic processes. In the SINDy approach, the primary goal is to explain the drift paths of objects and particles determined through computational or measurement techniques with a minimal number of sparse component ordinary differential equations. We reconstruct the drift paths and time series by analyzing Lagrangian drifter data obtained through a floating buoy in the Pacific Ocean. With the obtained data, we specifically examine the applicability of the SINDy algorithm in modeling hydrodynamic effects in coastal and port hydrodynamics. We propose that the SINDy-based algorithmic approach can quickly and accurately predict region-specific coastal and port hydrodynamics equations in events and disasters of the specified type. Also, an assessment is provided about the practical applications, usage areas, and potential research areas related to our findings.

AB - In this study, we investigate the usability of the sparse identification of nonlinear dynamics (SINDy) algorithm in modeling the mechanisms of coastal and port hydrodynamic processes. In the SINDy approach, the primary goal is to explain the drift paths of objects and particles determined through computational or measurement techniques with a minimal number of sparse component ordinary differential equations. We reconstruct the drift paths and time series by analyzing Lagrangian drifter data obtained through a floating buoy in the Pacific Ocean. With the obtained data, we specifically examine the applicability of the SINDy algorithm in modeling hydrodynamic effects in coastal and port hydrodynamics. We propose that the SINDy-based algorithmic approach can quickly and accurately predict region-specific coastal and port hydrodynamics equations in events and disasters of the specified type. Also, an assessment is provided about the practical applications, usage areas, and potential research areas related to our findings.

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KW - Computational Sparse Systems

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KW - xL-SINDY

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M3 - Conference contribution

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SN - 9783031671944

T3 - Lecture Notes in Networks and Systems

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BT - Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Ucal Sari, Irem

A2 - Cebi, Selcuk

A2 - Tolga, A. Cagri

PB - Springer Science and Business Media Deutschland GmbH

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2024

Y2 - 16 July 2024 through 18 July 2024

ER -

Bayındır C, Erişti T, Alan AR. Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms. In Kahraman C, Cevik Onar S, Oztaysi B, Ucal Sari I, Cebi S, Tolga AC, editors, Intelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference. Springer Science and Business Media Deutschland GmbH. 2024. p. 542-548. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-67195-1_60

Modeling Coastal and Port Hydrodynamics Using Sparse Nonlinear Dynamic System Intelligent Algorithms

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