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Neural topology optimization of ship structures under propulsion machinery vibrations

Paper recorded by Signals 4 on 2026-09-29 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-29 on arXiv · recorded by Signals 4 on 2026-09-30

Category: cs.AI · 人工智能 · first seen 2026-09-30

Abstract

Ship structural vibrations contribute to noise, fatigue, and equipment damage, while dynamic-compliance topology optimization can produce pathological designs near resonance. This study extends neural-reparameterized topology optimization using a convolutional Kolmogorov-Arnold network (KATO) to forced-vibration design with active input power (AIP) as the objective. Applications include a 100 Hz e

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#15 most recent of 460 cs.AI papers we have recorded · ↑ newer: Character Training for Risk-Averse Agents · ↓ older: Probability is Not Enough: Exploring and Counting Divergent Tokens for
Cite this page: Neural topology optimization of ship structures under propulsion machinery vibrations: the #15 most recent of 460 cs.AI papers we have recorded (as of 2026-09-29). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/neural-topology-optimization-of-ship-structures-under-propulsion-machinery-vibra.html
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