arXiv:2607.13074math.NAcond-mat.mtrl-sci2026-07

通过有限元数据研究裂纹应力强度因子的载荷可识别性,揭示何时能准确反推三种载荷比例。

When is the combined load identifiable from a stress-intensity profile? A coupled forward-inverse study on SIFBench finite-element data

  • 基于线性映射与函数独立性分析,判断载荷组合是否可唯一识别。
  • 多数裂纹几何下载荷可解,少数情况因近似相关导致反问题病态。
  • 提出带不确定度校准的逆估计器,适合结构安全评估与可靠性分析者。

本文研究从裂纹前沿应力强度因子(SIF)分布反推作用于裂纹上的拉伸、弯曲和剪切载荷相对大小这一逆问题,使用公开的SIFBench有限元数据。核心目标并非现场故障载荷恢复,而是严格刻画在何种条件下联合载荷可被识别,并提供在不可识别区域仍能返回校准不确定性估计的方法。对于已知几何形状,载荷到SIF分布的前向映射为精确线性关系,可识别性归结为三个基本载荷分布沿裂纹前沿是否线性无关。当它们接近线性相关时,多种载荷组合产生几乎相同的SIF分布,导致逆问题病态;分析表明,病态程度由内在稳定裕度控制,而非仅由条件数决定。一个统一的裂纹前沿算子同时作为结构化前向代理和适用于单纯形约束、集值逆估计器的可微映射。在SIFBench角裂纹场景中,实证行为与理论一致:典型几何状况良好,但相当一部分属于真正病态,因此点估计在多数情况下可靠,在少数情况下则明确无信息量。验证采用可控合成噪声,未使用真实断裂案例。

原文摘要 · Abstract (English)

This work studies the inverse problem of recovering the relative magnitudes of the tension, bending, and bearing loads acting on a crack from its stress-intensity-factor profile along the crack front, using the public SIFBench finite-element data. The central claim is not forensic load recovery on field cases, but a rigorous characterization of when the combined load is identifiable at all, together with an estimator that returns calibrated uncertainty precisely in the regimes where it is not. For a known geometry the forward map from loads to profile is exactly linear, and identifiability reduces to a single geometric question: whether the three elementary load profiles are linearly independent as functions along the front. When they are nearly dependent, many different load combinations produce almost the same profile and the inverse problem is illposed; the analysis shows that the degree of ill-posedness is controlled by an intrinsic stability margin, not by the conditioning number alone. A single crack-front operator serves both as a structured forward surrogate and as the differentiable map required by a simplex-constrained, set-valued inverse estimator. On the SIFBench corner-crack scenario the empirical behaviour matches the theory: the typical geometry is well posed while a sizable minority is genuinely ill-posed, so a point estimate is reliable on the majority and provably uninformative on the rest. Validation is on controlled synthetic noise; no real fracture cases are used or claimed.

逆问题裂纹分析有限元可靠性

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