Abstract
Abstract
The high-temperature sealing reliability of flange–bolt–gasket systems is governed by the coupled gasket leakage, flange cracking, and bolt yielding. This study investigates a DN200 PN40 (nominal diameter 200 mm and nominal pressure 4.0 MPa) weld-neck flange assembly operating under 300 °C superheated steam at 4 MPa internal pressure. Exploiting the assembly’s 12-fold cyclic rotational symmetry, a 1/12 periodic-sector finite element model with steady-state thermal–structural sequential coupling was developed in ANSYS Workbench and validated against the Omiya–Sawa 3-inch weld-neck flange benchmark at two levels (Level 1: bolt load vs. experiment; Level 2: 250 °C gasket contact pressure vs. reference finite element method (FEM)), with maximum errors below 1.5% in both levels; the benchmark thus establishes the reliability of the modeling procedure rather than constituting a direct experimental validation of the DN200 PN40 configuration. Using a central composite design, second-order response surface models (RSM) and Kriging surrogate models were constructed and compared, followed by Sobol global sensitivity analysis, multi-objective optimization using the non-dominated sorting genetic algorithm II (NSGA-II), and decision-making using the technique for order preference by similarity to ideal solution (TOPSIS), with bolt preload F and gasket width b as design variables. Baseline analysis revealed a differential contact pressure distribution—lower at the inner radius and higher at the outer radius—driven by a −0.308° flange rotation, identifying the inner gasket edge as the critical sealing failure path. RSM outperformed Kriging for the primary objective (mean absolute percentage error (MAPE): 0.72% vs. 3.61%), and the Pareto front collapsed to b = 19 mm. The TOPSIS-recommended optimum (F = 59,942 N, b = 19.00 mm), verified by ANSYS back-substitution, increased the minimum gasket contact pressure by 31.01% while reducing the flange membrane-plus-bending stress by 2.26%, achieving a coordinated improvement of both sealing performance and structural safety.
Direct answer
What can I do from this paper page?
Use this page to scan "Multi-Objective Optimization of a High-Temperature Flange–Bolt–Gasket System Based on a Cyclic Symmetric Thermal–Structural Coupling Model" quickly: start with the summary and abstract, then check the authors, source, topics, and related papers. From here, open Scollr to follow Engineering Structural Analysis Methods research, save the paper, or map adjacent work.
Research areas
Follow related topics
Citation
BibTeX
@article{Xu2026Multi,
title = {Multi-Objective Optimization of a High-Temperature Flange–Bolt–Gasket System Based on a Cyclic Symmetric Thermal–Structural Coupling Model},
author = {Honghao Xu and Peigang Jiao and Changhui Zheng and Jiaxin Shi and Yiheng Zhang},
journal = {Symmetry},
year = {2026},
doi = {10.3390/sym18081252},
url = {https://doi.org/10.3390/sym18081252}
}
FAQ
Using this paper in a discovery workflow
How do I find related work for this paper?
Use the related papers and topic links on this page as starting points. In Scollr, you can also open the paper and build a literature map around its references, citing papers, and related work.
How can I keep up with new Engineering Structural Analysis Methods research papers?
Follow Engineering Structural Analysis Methods research in Scollr. New papers from the topic flow into a personalized feed, and you can save useful studies to revisit later.
Can I cite this paper from this page?
This page includes a static BibTeX block for Multi-Objective Optimization of a High-Temperature Flange–Bolt–Gasket System Based on a Cyclic Symmetric Thermal–Structural Coupling Model. Always verify the DOI, source, and publication details against the publisher record before submitting a manuscript.
Follow this research in Scollr
Follow the topics and authors behind this paper, save useful studies, and build a literature map when you are ready to go deeper.
Get the app