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pith:DHASQDOC

pith:2026:DHASQDOC67YM7MOELIP2BJQNNJ

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Mask-Morph Graph U-Net: A Generalisable Mesh-Based Surrogate for Crashworthiness Field Prediction under Large Geometric Variation

Haoran Li, Haosu Zhou, Nan Li, Philipp Stocker, Tobias Lehrer, Tobias Pfaff, Yingxue Zhao

Mask-Morph Graph U-Net uses coarse-graph morphing and masked pretraining to generalise hierarchical GNNs to new mesh geometries in crash simulations.

arxiv:2605.15231 v1 · 2026-05-13 · cs.LG · cs.CV

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Claims

C1strongest claim

Coarse-graph morphing via feature-aligned barycentric parameterisation improves test accuracy over a fixed-coarse-graph baseline, while masked supervised pretraining reduces train-test discrepancy and improves data efficiency in cross-component transfer settings.

C2weakest assumption

The assumption that feature-aligned barycentric parameterisation will produce sufficiently accurate spatial correspondence between the morphed coarse graph and each new input mesh without introducing systematic interpolation errors that propagate through the hierarchical U-Net layers.

C3one line summary

MMGUNet morphs coarse graph hierarchies with feature-aligned barycentric mapping and uses masked pretraining plus frozen edge layers to improve generalisability of mesh surrogates for crashworthiness prediction under large geometric changes.

References

55 extracted · 55 resolved · 2 Pith anchors

[1] S. R. Wu, Convergence study on explicit finite element for crashwor- thiness analysis, Tech. Rep. 2006-01-0672, SAE International (2006). doi:10.4271/2006-01-0672 2006 · doi:10.4271/2006-01-0672

[2] J. Chang, T. Tyan, M. El-Bkaily, J. Cheng, A. Marpu, Q. Zeng, J. Santini, Implicit and explicit finite element methods for crash safety analysis, Tech. Rep. 2007-01-0982, SAE International (2007). doi 2007 · doi:10.4271/2007-01-0982

[3] E. Albak, Optimization design for circular multi-cell thin-walled tubes with discrete and continuous design variables, Mechanics of Advanced Materials and Structures 30 (24) (2023) 5091–5105 2023

[4] F. Xiong, D. Wang, Z.-D. Ma, L. Yang, Z. Li, B. Song, Multi-objective lightweight and crashworthiness optimization for the side structure of an automobile body, Structural and Multidisciplinary Optimi 2018

[5] A. Ahmadi Dastjerdi, M. Moshref-Javadi, H. Ahmadian, M. Gholam- pour, Crushing analysis and multi-objective optimization of different length bi-thin walled cylindrical structures under axial impact lo 2019

Receipt and verification

First computed	2026-05-20T00:00:47.518785Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

19c1280dc2f7f0cfb1c45a1fa0a60d6a63d22c22beb19e418087187904e272a5

Aliases

arxiv: 2605.15231 · arxiv_version: 2605.15231v1 · doi: 10.48550/arxiv.2605.15231 · pith_short_12: DHASQDOC67YM · pith_short_16: DHASQDOC67YM7MOE · pith_short_8: DHASQDOC

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DHASQDOC67YM7MOELIP2BJQNNJ \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 19c1280dc2f7f0cfb1c45a1fa0a60d6a63d22c22beb19e418087187904e272a5

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-13T18:04:58Z",
    "title_canon_sha256": "35ee75c903b6a874f2278ff6b9b6c5f25996b3607ef506735779b93d9efbed15"
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