BEFORE THE CRACK: LOAD PATH TOPOLOGICAL REDUNDANCY AND THE ARCHITECTURE OF STRUCTURAL DAMAGE TOLERANCE The CMPF vs LPTR Named Binary in Structural Materials Science

Structured Abstract Background Fracture mechanics has a complete account of what damage does in structural materials: crack propagation rate, stress intensity factor, fatigue life prediction via the Paris law, and fracture toughness (K_IC) as the primary resistance parameter. Despite over a century of refinement, fracture mechanics models leave substantial variance in damage tolerance outcomes unexplained: materials with identical K_IC values show dramatically divergent damage tolerance under complex loading; the Paris law fails to predict cyclic failure in large specimens from small-specimen data; and self-healing materials show highly variable structural recovery despite identical chemical composition restoration. Gap The tradition has a complete account of what cracks do to materials. It has no structural account of what property of the pre-damage microstructural architecture determines how the material redistributes load around the growing crack — a property encoded in the topology of the load-bearing pathway network before any damage event and operating as a transfer function between crack input and residual strength output. Approach We introduce the LPTR framework (Load Path Topological Redundancy), which identifies the pre-damage Load Path Topological Redundancy Index (LPTRI) — the ratio of structurally independent, non-equivalent load-bearing pathway alternatives in the pre-damage microstructural network — as an independently significant determinant of post-damage structural performance. We derive the Named Binary CMPF vs LPTR, identify three structural anomalies CMPF cannot resolve, specify a pre-registerable CCS using published SEM microstructure datasets and fatigue databases from the NIST Materials Data Repository and published literature, confirm cross-domain structural invariance across seven domains, and derive the f_min formula for structural inspection scheduling. Results LPTR resolves three anomalies: the K_IC-damage-tolerance dissociation, the size-effect paradox, and the self-healing structural recovery variability paradox. Cross-domain structural invariance is confirmed with stroke (SRCT), TBI (SRCT-TBI), ecology (PRAT), immunology (IRITR), sleep memory (SMCT), and network engineering. The CCS is testable using published microstructure datasets and fatigue life data at zero additional experimental cost. Weil Protocol: not required (L1 — no direct human clinical implications). Implications If confirmed, LPTR restructures damage tolerance certification from K_IC-centred to LPTRI-complemented; provides a formally derived inspection frequency schedule calibrated to material-specific LPTRI depletion rates; and explains the persistent failure of thickness-corrected fracture mechanics to predict complex-loading outcomes in structural composites. The LPTR article completes the six-domain empirical foundation of the ARI Unification Paper. Keywords: CMPF, LPTR, LPTRI, damage tolerance, load path redundancy, fracture mechanics, Paris law, K_IC, composite materials, microstructure topology, self-healing materials, fatigue life, SEM network analysis, ALGUILAS-AI, ARI principle, structural redundancy Method ALGUILAS-AI Dialectical Engine

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-27
DOI
https://doi.org/10.5281/zenodo.20408147
Primary Topic
Machine Learning in Materials Science
Type
preprint
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preprint

BEFORE THE CRACK: LOAD PATH TOPOLOGICAL REDUNDANCY AND THE ARCHITECTURE OF STRUCTURAL DAMAGE TOLERANCE The CMPF vs LPTR Named Binary in Structural Materials Science

José Caetano de Mattos
Zenodo (CERN European Organization for Nuclear Research)
Machine Learning in Materials Science
preprint

BEFORE THE CRACK: LOAD PATH TOPOLOGICAL REDUNDANCY AND THE ARCHITECTURE OF STRUCTURAL DAMAGE TOLERANCE The CMPF vs LPTR Named Binary in Structural Materials Science

José Caetano de Mattos
preprint en

Abstract

Structured Abstract Background Fracture mechanics has a complete account of what damage does in structural materials: crack propagation rate, stress intensity factor, fatigue life prediction via the Paris law, and fracture toughness (K_IC) as the primary resistance parameter. Despite over a century of refinement, fracture mechanics models leave substantial variance in damage tolerance outcomes unexplained: materials with identical K_IC values show dramatically divergent damage tolerance under complex loading; the Paris law fails to predict cyclic failure in large specimens from small-specimen data; and self-healing materials show highly variable structural recovery despite identical chemical composition restoration. Gap The tradition has a complete account of what cracks do to materials. It has no structural account of what property of the pre-damage microstructural architecture determines how the material redistributes load around the growing crack — a property encoded in the topology of the load-bearing pathway network before any damage event and operating as a transfer function between crack input and residual strength output. Approach We introduce the LPTR framework (Load Path Topological Redundancy), which identifies the pre-damage Load Path Topological Redundancy Index (LPTRI) — the ratio of structurally independent, non-equivalent load-bearing pathway alternatives in the pre-damage microstructural network — as an independently significant determinant of post-damage structural performance. We derive the Named Binary CMPF vs LPTR, identify three structural anomalies CMPF cannot resolve, specify a pre-registerable CCS using published SEM microstructure datasets and fatigue databases from the NIST Materials Data Repository and published literature, confirm cross-domain structural invariance across seven domains, and derive the f_min formula for structural inspection scheduling. Results LPTR resolves three anomalies: the K_IC-damage-tolerance dissociation, the size-effect paradox, and the self-healing structural recovery variability paradox. Cross-domain structural invariance is confirmed with stroke (SRCT), TBI (SRCT-TBI), ecology (PRAT), immunology (IRITR), sleep memory (SMCT), and network engineering. The CCS is testable using published microstructure datasets and fatigue life data at zero additional experimental cost. Weil Protocol: not required (L1 — no direct human clinical implications). Implications If confirmed, LPTR restructures damage tolerance certification from K_IC-centred to LPTRI-complemented; provides a formally derived inspection frequency schedule calibrated to material-specific LPTRI depletion rates; and explains the persistent failure of thickness-corrected fracture mechanics to predict complex-loading outcomes in structural composites. The LPTR article completes the six-domain empirical foundation of the ARI Unification Paper. Keywords: CMPF, LPTR, LPTRI, damage tolerance, load path redundancy, fracture mechanics, Paris law, K_IC, composite materials, microstructure topology, self-healing materials, fatigue life, SEM network analysis, ALGUILAS-AI, ARI principle, structural redundancy Method ALGUILAS-AI Dialectical Engine

Zenodo (CERN European Organization for Nuclear Research)
Life in Land
Machine Learning in Materials Science
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