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

Cihan Bayındır*, Tayyibe Erişti, Ali Rıza Alan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publicationIntelligent and Fuzzy Systems - Intelligent Industrial Informatics and Efficient Networks Proceedings of the INFUS 2024 Conference
EditorsCengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A. Cagri Tolga
PublisherSpringer Science and Business Media Deutschland GmbH
Pages542-548
Number of pages7
ISBN (Print)9783031671944
DOIs
Publication statusPublished - 2024
EventInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024 - Canakkale, Turkey
Duration: 16 Jul 202418 Jul 2024

Publication series

NameLecture Notes in Networks and Systems
Volume1089 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceInternational Conference on Intelligent and Fuzzy Systems, INFUS 2024
Country/TerritoryTurkey
CityCanakkale
Period16/07/2418/07/24

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

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