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The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →Fatigue and fracture assessment of metals spans two overlapping disciplines: physical characterisation methods that measure how a material cracks or degrades under repeated load, and computational methods that predict when it will fail before it does. This dataset tracks patent families filed between 2015 and 2026 that combine fatigue-assessment language — S-N curve, stress intensity factor, residual stress effect, notch sensitivity, life prediction model — with classification codes covering testing (G01N3), simulation (G06F30) and metal treatment (C22F1).
The mix of IPC codes present in this set is itself informative: a claim space that pulls heavily from G06F and G16C alongside G01N is one where digital-twin and computational-mechanics approaches are displacing, or at least supplementing, physical test-rig methods as the site of new invention.
Pick a task. Every answer cites the patents behind it.
75 patent families make up this landscape, filed between 2015 and 2026 (the 2026 figure is partial, and the true 2025 volume is understated because publication typically lags filing by around 18 months).
Filings rose from 2 in 2017 to a midpoint of 8 in 2022, then peaked at 14 in 2024. Several previously active filers, including major Chinese universities and Hitachi, show zero filings in the most recent tracked year — consistent with either a genuine slowdown or a reporting lag that has not yet cleared.
G06F (digital data processing) leads with 50 records, ahead of G01N (material analysis and testing) at 35. G16C (computational chemistry) at 11 and G06N (AI-based computing) at 4 confirm that a meaningful share of new filings describe prediction models and simulation pipelines rather than new test apparatus.
Shares are the percentage of the 75 records in scope. A patent can carry several IPC classes, so the shares add up to more than 100%.
This page is one run against one query. Ask Eureka your own question about fatigue and fracture assessment of metals and every answer comes back with the patent numbers behind it.
Try EurekaThe filing describes a system that estimates fracture mechanics data from a surface-irregularities waveform: it captures the steplike surface of a fracture, corrects overall gradient and removes noise, then identifies and counts uneven portions along a measuring line to derive an average distance between features. The stated aim is estimating fracture mechanics parameters with better accuracy and reproducibility than manual methods, without requiring a full physical test cycle.Abstract condensed from the original filing text.


| # | Publication no. | Patent title | Citations |
|---|---|---|---|
| 1 | WO2022121203A1 | 一种球壳表面三维裂纹扩展疲劳寿命的计算方法 | 115 |
| 2 | US4299120A | Method for determining plane strain fracture toughness of non-elastic fracture mechanics specimens | 64 |
| 3 | CN105466772A | 一种基于临界面法的多轴短裂纹扩展寿命预测方法 | 41 |
| 4 | JP1996122221A | Integrity evaluating method and device for underground buried pipe | 32 |
| 5 | CN110147618A | 基于断裂力学的航空发动机涡轮叶片可靠性评估方法 | 20 |
| 6 | US4232554A | Thermal emission flaw detection method | 17 |
| 7 | KR1020130118061A | Method for predicting influence by corroded damage of aircraft | 13 |
| 8 | JP2009085737A | Fracture surface analysis method and analyzer | 13 |
| 9 | CN110455627A | 基于恒位移加载的材料与高压氢气相容性评价方法及系统 | 12 |
| 10 | CN113642192A | 一种超高周疲劳寿命预测方法、装置及可存储介质 | 11 |
Citation counts are drawn from a searched corpus and favour older, longer-indexed records — read them as a signal of influence on later filings, not as a ranking of current commercial relevance.
Patent titles are shown in the language they were filed in, not translated, so that each record stays verifiable against the original filing — a translated title will not match in Eureka or in any national register. Each row carries its publication number; clicking a row searches Eureka by that number.
When you want the answer in the next five minutes.
The agent works the prompt against patents and technical literature, citing every source.
Run your analysis now →When it has to run inside your own pipeline.
Patent search, landscape analysis and assignee resolution as MCP tools. Drop them into any agent framework, or call REST directly.
Browse MCP servers →Three patterns stand out once family counts, IPC mix and receiving-office data are read together.
With 60 records routed through the China receiving office against 5 for the United States and single digits elsewhere, most competitive activity — and most prior art a new filer must clear — sits in Chinese-language filings from universities and engineering institutes.
The larger share of filings sits in digital data processing rather than material testing apparatus, meaning the more contested claim territory is life-prediction algorithms and simulation workflows, not new physical test rigs.
Several previously prolific filers report 0 filings in the latest year and year-over-year declines of -100%, which — allowing for publication lag — points to either a genuine pause or filings still working through the pipeline.
Eureka can read the same corpus for gaps instead of for coverage: under-claimed branches adjacent to fatigue and fracture assessment of metals, with the prior art for and against each one.
Filing activity is dominated by Chinese universities and transport-infrastructure research institutes, with a long tail of single-filing entrants and a small number of corporate names such as Hitachi. Co-assignment is rare in this dataset — only 4 pairs — and mostly links a university to a regional highway or road-engineering operator, suggesting most inventive work is done in-house rather than through joint ventures.
Institutions such as Chang'an University, Hunan University, Dalian University of Technology and Harbin Institute of Technology account for much of the volume, typically filing independently rather than in joint ventures with industry.
Hitachi is the clearest corporate name in the set, but shows no filings in the most recent tracked year, leaving the corporate side of this landscape largely quiet relative to the academic side.
Regional highway and road-engineering groups co-file with universities on a small number of applications, pointing to applied fatigue-assessment work tied to specific transport infrastructure projects rather than general materials research.
| Assignee | Recent year | YoY |
|---|---|---|
| Chang'an University | 0 | -100% |
| Hunan University | 0 | -100% |
| Hitachi, Ltd. | 0 | — |
| Chongqing Jiaotong University | 0 | — |
| University of Electronic Science and Technology of China | 0 | — |
| Dalian University of Technology | 0 | -100% |
| Harbin Institute of Technology | 0 | — |
| Tongji University | 0 | — |
The dataset points to a field where computation is doing more of the inventive work than physical testing, and where filing has cooled from a 2024 peak. Two directions are worth pursuing before committing R&D or filing budget.
Given that G06F and G16C together outnumber G01N filings, a freedom-to-operate review should weight computational claim language as heavily as physical test-method claims.
Explore claim mapping in EurekaBecause publication lags filing by roughly 18 months, the apparent 2024 peak and subsequent drop may partly reverse as more recent filings publish; re-run this landscape periodically rather than treating the current curve as final.
Set up monitoring in EurekaThis landscape draws primarily on G01N3 (material testing), G06F30 (computational design and simulation) and C22F1 (metal treatment), because fatigue and fracture assessment now spans both physical test methods and computational life-prediction models. In this dataset, G06F (digital data processing) accounts for 50 of 75 records and G01N (material analysis and testing) for 35, with smaller contributions from G16C (computational chemistry), G01M (testing machinery) and G06N (AI-based computing). A freedom-to-operate search limited to G01N alone would miss most of the computational-model filings that now make up the larger share of this space.
Filing is dominated by Chinese universities and transport-engineering institutes rather than large industrial corporations, with Hitachi standing out as one of the few clear corporate names in the set. Most institutions file independently; co-assignment is uncommon, appearing in only 4 pairs across the dataset, typically linking a university to a regional highway or road-engineering operator. There is a long tail of single-filing entrants alongside the more active academic names, so concentration at the top is moderate rather than extreme.
Filings grew from 2 in 2017 to a midpoint of 8 in 2022 and peaked at 14 in 2024, but the trend since then looks flat to declining, with several previously active filers showing 0 filings and year-over-year drops of -100% in the latest tracked year. Because patent publication typically lags filing by around 18 months, some of that apparent decline is likely a reporting artefact rather than a genuine stop in R&D activity. Anyone using this data for planning should treat the most recent one to two years as provisional and expect upward revision as later filings publish.
Relative to the dense core of S-N curve and stress-intensity-factor claims, several adjacent branches show thinner filing density: multiaxial short-crack life prediction, AI-assisted notch sensitivity modelling, buried-pipeline integrity evaluation, residual-stress-aware digital twins, and image-based crack growth measurement. These areas appear in the dataset's citation and IPC mix but have not attracted the same volume of dedicated filings as the core life-prediction and testing claims. A first claim in one of these branches would need to tie a specific measurement or model technique to a named application, such as pipeline integrity or multiaxial loading, rather than restating a generic life-prediction method.
Sixty of the 75 tracked records were filed through the China receiving office, far ahead of the United States at 5 and other jurisdictions in single digits. This reflects both the concentration of academic and infrastructure-engineering research institutions filing on domestic transport and materials projects, and the fact that many of these filings appear to be first-filed domestically rather than pursued internationally via PCT, since WIPO filings account for only 2 records. Anyone assessing competitive risk or freedom-to-operate in this field needs Chinese-language prior art coverage, not just English-language patent databases.
Go past this page: query the whole fatigue and fracture assessment of metals corpus yourself, in your own scope.
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Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.
Patent data carries inherent limitations: recent filings (typically the most recent 18–24 months) are under-counted due to standard publication lag; counts may be reported at either a patent-family or a patent-record basis and are not always directly comparable; classification, applicant-name, and citation data may contain errors, duplicates, or omissions; and the underlying search query defines and constrains the scope shown. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.
Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, or validity search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. Any patent, commercial, or strategic decision should be verified independently and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.
Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.