Improvements in the Optimization of a 4,000 M Class Riser System for Deep Sea Mining

Abstract This article explores optimizing buoy quantity and placement along a riser system for deep-sea mining. Initially, an algorithm was developed to place buoys along a hang-off riser which the main tube has a constant wall thickness, setting the von Mises stress to one-third of the grade X65 pipe’s yield strength. After this first algorithm, the resulting riser is referred to as Configuration 1. However, Configuration 1 resulted in resonance due to the natural period of the first axial mode being close to the wave’s peak period. To address this, a second optimization algorithm was developed, incorporating main tubes with varying wall thicknesses. Thinner tubes were used at the bottom, progressing to thicker tubes upward as needed. Buoys were strategically placed to maintain the same stress level mentioned above. After this second algorithm, the resulting riser is referred to as Configuration 2, which successfully mitigated axial resonance by shifting the natural frequency away from the wave’s peak period. Time domain simulations and eigenvalue analysis confirmed that Configuration 1 experienced significant axial resonance, while Configuration 2 reduced the resonance effect, aligning natural periods away from the wave’s peak period, which shall minimize cumulative fatigue damage.

Authors

Institutions

Publication Details

Published
2025-06-22
DOI
https://doi.org/10.1115/omae2025-156302
Primary Topic
Offshore Engineering and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Improvements in the Optimization of a 4,000 M Class Riser System for Deep Sea Mining

Kazuhiro Yukawa, Márcio Yamamoto, Joji Yamamoto
Offshore Engineering and Technologies
article

Improvements in the Optimization of a 4,000 M Class Riser System for Deep Sea Mining

Kazuhiro Yukawa, Márcio Yamamoto, Joji Yamamoto
article en

Abstract

Abstract This article explores optimizing buoy quantity and placement along a riser system for deep-sea mining. Initially, an algorithm was developed to place buoys along a hang-off riser which the main tube has a constant wall thickness, setting the von Mises stress to one-third of the grade X65 pipe’s yield strength. After this first algorithm, the resulting riser is referred to as Configuration 1. However, Configuration 1 resulted in resonance due to the natural period of the first axial mode being close to the wave’s peak period. To address this, a second optimization algorithm was developed, incorporating main tubes with varying wall thicknesses. Thinner tubes were used at the bottom, progressing to thicker tubes upward as needed. Buoys were strategically placed to maintain the same stress level mentioned above. After this second algorithm, the resulting riser is referred to as Configuration 2, which successfully mitigated axial resonance by shifting the natural frequency away from the wave’s peak period. Time domain simulations and eigenvalue analysis confirmed that Configuration 1 experienced significant axial resonance, while Configuration 2 reduced the resonance effect, aligning natural periods away from the wave’s peak period, which shall minimize cumulative fatigue damage.

National Maritime Research Institute (JP)
Openalex Percentile: Top 74%
Offshore Engineering and Technologies
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.

Improvements in the Optimization of a 4,000 M Class Riser System for Deep Sea Mining — Kazuhiro Yukawa, Márcio Yamamoto, et al. · (2025) | TGRS Research Map | TGRS