A distributed inference method integrating causal analysis and surrogate models for optimizing tuned mass damper parameters to enhance offshore wind turbine safety

Ruixing Zhang, Liqiang An, Xinmeng Yang, Lun He and Zenghao Huang

Reliability Engineering and System Safety, 2025, vol. 257, issue PA

Abstract: This study proposes a Distributed Inference Method integrating Causal Analysis and Surrogate Models (DIM-CASM), which aims to predict the structural responses and damage of offshore wind turbines (OWTs) under varying environmental conditions while adaptively optimizing Tuned Mass Dampers (TMDs) to enhance structural safety. As a novel paradigm for surrogate model application, DIM-CASM leverages its unique distributed inference model structure and deployment approach to fully utilize indirect variables often ignored in traditional surrogate models. The logic of data transmission within DIM-CASM closely mirrors the load transfer and interference processes in OWTs, resulting in higher fitting accuracy. In a case study involving a 15MW OWT, DIM-CASM was used to identify TMD parameters that adapt to varying wind and wave conditions. Compared to traditional fixed-parameter TMD strategies, the adaptive TMD derived through DIM-CASM demonstrates significant improvements in reducing the tower structure's extreme responses and coefficient of variation. Moreover, the DIM-CASM framework exhibits a unique interpretability advantage, enabling new mechanistic explanations through comparative analysis of pre- and post-optimization causal graphs. This reveals that the TMD's role might involve disrupting the influence of vertical structural responses at the tower top on the longitudinal responses, providing valuable insights for future studies on optimizing structural control strategies.

Keywords: Distributed inference model; Causal analysis; Surrogate models; Structural response; Multi-objective optimization; Offshore wind turbines (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0951832025000663
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:257:y:2025:i:pa:s0951832025000663

DOI: 10.1016/j.ress.2025.110863

Access Statistics for this article

Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares

More articles in Reliability Engineering and System Safety from Elsevier
Bibliographic data for series maintained by Catherine Liu ().