Dynamic Response and Safety-Constrained Configuration Optimization of an Oyster Longline Farm Under Extreme Waves

Korean oyster hanging longlines are flexible multibody mooring systems whose submerged weight increases as oysters grow. Current designs rely largely on field experience and static standards, which consider neither site-specific extreme waves nor the growth-induced sinking of droppers toward the seabed and each other. Whether standard configurations remain safe late in growth, and how to modify them, is unknown. This study analyzed the standard longline of the National Institute of Fisheries Science under a 50-year return-period design wave (Hs = 2.19 m, Tp = 8.85 s) from CMEMS data, using coupled time-domain simulations at oyster masses of 15, 20 and 25 kg per dropper. An elasticity analysis of five design variables (longline depth, dropper spacing, dropper length, and dropper and mooring stiffness) identified dropper length as the most influential. The reference design satisfied four safety constraints (seabed contact, dropper proximity, dropper swing and mooring load) up to 20 kg per dropper. A surrogate-based search with time-domain verification confirmed a design safe up to 20 kg at the reference productivity, whereas 25 kg per dropper required a relaxed proximity limit and 15% productivity loss. Configuration optimization must therefore be combined with on-site management such as buoy addition and harvest timing.

Authors

Institutions

Publication Details

Journal
Journal of Marine Science and Engineering
Published
2026-11-10
DOI
https://doi.org/10.3390/jmse14222133
Primary Topic
Marine Bivalve and Aquaculture Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
article

Dynamic Response and Safety-Constrained Configuration Optimization of an Oyster Longline Farm Under Extreme Waves

Dong-Gil Lee, Yoo-Jeong Shim, Sung-Jae Kim
Journal of Marine Science and Engineering
Marine Bivalve and Aquaculture Studies
article

Dynamic Response and Safety-Constrained Configuration Optimization of an Oyster Longline Farm Under Extreme Waves

Dong-Gil Lee, Yoo-Jeong Shim, Sung-Jae Kim
article en

Abstract

Korean oyster hanging longlines are flexible multibody mooring systems whose submerged weight increases as oysters grow. Current designs rely largely on field experience and static standards, which consider neither site-specific extreme waves nor the growth-induced sinking of droppers toward the seabed and each other. Whether standard configurations remain safe late in growth, and how to modify them, is unknown. This study analyzed the standard longline of the National Institute of Fisheries Science under a 50-year return-period design wave (Hs = 2.19 m, Tp = 8.85 s) from CMEMS data, using coupled time-domain simulations at oyster masses of 15, 20 and 25 kg per dropper. An elasticity analysis of five design variables (longline depth, dropper spacing, dropper length, and dropper and mooring stiffness) identified dropper length as the most influential. The reference design satisfied four safety constraints (seabed contact, dropper proximity, dropper swing and mooring load) up to 20 kg per dropper. A surrogate-based search with time-domain verification confirmed a design safe up to 20 kg at the reference productivity, whereas 25 kg per dropper required a relaxed proximity limit and 15% productivity loss. Configuration optimization must therefore be combined with on-site management such as buoy addition and harvest timing.

Journal of Marine Science and EngineeringVol. 14(22)
National Institute of Fisheries Science (KR)
Marine Bivalve and Aquaculture Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon