System Identification in Membrane Structures: Seam Stiffness Calibration

Abstract In large membrane structures, panelization into patches creates stitched or welded seams. Overlaps and heat‐affected zones at these seams changes in‐plane stiffness locally, driving stress concentrations that standard uniform‐property models fail to capture. We aim to identify these localized stiffness changes by calibrating the seam and panel stiffness from measurements using a gradient‐based, system‐identification framework that minimizes simulation–measurement misfit. Seams are modeled by an increase in effective Young's modulus; tighter bounds are used for the base fabric than seams, and a gradient cut‐off at sensor error less than a threshold suppresses spurious gradients. We examine four fidelity levels—from low fidelity with two design variables to more than 100,000 variables in the high‐fidelity cases—progressing from global seam/panel moduli to spatial fields for panels and seams. Applications to a four‐point hypar and a conic membrane under snow loading illustrate the workflow. In general, good identification is achieved in all cases; however, increasing fidelity exacerbates ill‐conditioning and reduces identification accuracy.

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Publication Details

Journal
ce/papers
Published
2026-09-30
DOI
https://doi.org/10.1002/cepa.71036
Primary Topic
Structural Analysis and Optimization
Type
article
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System Identification in Membrane Structures: Seam Stiffness Calibration

Harbir Antil, Suneth Warnakulasuriya, Roland Wüchner, Ihar Antonau et al.
ce/papers
Structural Analysis and Optimization
article

System Identification in Membrane Structures: Seam Stiffness Calibration

Harbir Antil, Suneth Warnakulasuriya, Roland Wüchner, Ihar Antonau, Rainald Löhner, Talhah Ansari, Ann‐Kathrin Goldbach
article en

Abstract

Abstract In large membrane structures, panelization into patches creates stitched or welded seams. Overlaps and heat‐affected zones at these seams changes in‐plane stiffness locally, driving stress concentrations that standard uniform‐property models fail to capture. We aim to identify these localized stiffness changes by calibrating the seam and panel stiffness from measurements using a gradient‐based, system‐identification framework that minimizes simulation–measurement misfit. Seams are modeled by an increase in effective Young's modulus; tighter bounds are used for the base fabric than seams, and a gradient cut‐off at sensor error less than a threshold suppresses spurious gradients. We examine four fidelity levels—from low fidelity with two design variables to more than 100,000 variables in the high‐fidelity cases—progressing from global seam/panel moduli to spatial fields for panels and seams. Applications to a four‐point hypar and a conic membrane under snow loading illustrate the workflow. In general, good identification is achieved in all cases; however, increasing fidelity exacerbates ill‐conditioning and reduces identification accuracy.

ce/papersVol. 9(4-5)
George Mason University (US), Institute for Advanced Study (DE), Technical University of Munich (DE)
Life below water
Openalex Percentile: Top 17%
Structural Analysis and Optimization
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System Identification in Membrane Structures: Seam Stiffness Calibration — Harbir Antil, Suneth Warnakulasuriya, et al. · ce/papers (2026) | TGRS Research Map | TGRS