GFRP Progressive-Damage Modeling Patent Snapshot 2026
The GFRP progressive-damage modeling patent field is in a Growth stage, with filing activity accelerating sharply from a near-zero base and China accounting for the dominant share of documented output. The competitive structure is fragmented — no single applicant has pulled away from the pack — and digital simulation (G06F) is the overwhelmingly dominant technical route.
A fragmented field led by a cluster of tied filers, concentrated in China
China, and Reva University each hold 2 patent records — a five-way tie at the top of the ranking with no single visible assignee having broken away.
The top five filers together account for 14% of the combined output of the ranked applicants visible in this query, confirming a low-concentration, widely distributed visible assignee structure with no meaningful tier gap between the leader and the mid-field.
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 1 | Nanjing Forestry University | 2 | |
| 2 | Jilin Chongtong Chengfei New Material Co., Ltd. | 2 | |
| 3 | SAIC Motor Corporation | 2 | |
| 4 | Kalinga Institute of Industrial Technology | 2 | |
| 5 | Ocean University of China | 2 | |
| 6 | Reva University | 2 | |
| 7 | Zhongyuan Urban Construction Co., Ltd. | 1 | |
| 8 | Zhejiang University of Technology | 1 | |
| 9 | Dr. Dipak Shriramji Bajaj | 1 | |
| 10 | Mr. Rohit Sahu | 1 |
| # | Applicant | Patent records | Share |
|---|---|---|---|
| 11 | China Ship Scientific Research Center | 1 | |
| 12 | China State Shipbuilding Corporation Limited | 1 | |
| 13 | Dr. Rittin Abraham Kurien | 1 | |
| 14 | Scott System Inc. | 1 | |
| 15 | Xunfang Technology (Shanghai) Co., Ltd. | 1 | |
| 16 | Mr. G. M. Pradeep | 1 | |
| 17 | V. Ravi Raj | 1 | |
| 18 | Dr. I. Ameeth Basha | 1 | |
| 19 | Xinjiang Chengfei New Material Co., Ltd. | 1 | |
| 20 | China Railway 14th Bureau Group Construction Engineering Co., Ltd. | 1 |
This fragmentation signals that the field has not yet consolidated around a visible methodology or a visible industrial player; entry barriers based on patent position alone are currently low, and the choice of modeling approach (FEM-based simulation vs. materials processing vs. structural application) still varies across filers.
Filing counts for 2025 and 2026 are understated due to patent publication lag and should not be read as a plateau; the underlying growth trend visible through 2024 is likely continuing. Longer-window growth, applicant concentration, and technology-route coverage are therefore more reliable signals than the latest-year bar alone.
Rapid multi-year growth and a simulation-heavy technology mix
Two structural facts define this field: annual filings have grown at a remarkable pace from a negligible base, and digital data processing is visible in the technology classification mix by a wide margin over materials and structural branches.
Annual filing trend
From a single filing in 2017, annual volume climbed to 10 records in 2024 — representing 500% growth over the recent window. The 2025 and 2026 data are understated by publication lag and should not be interpreted as a slowdown; the field remains in a growth trajectory consistent with its lifecycle classification.
↗ Hover for values · click a bar to ask EurekaTechnology composition
G06F (Electric digital data processing) is the visible IPC class with 31 patent records, reflecting that progressive-damage modeling is pursued primarily as a computational simulation problem. B29C (Shaping of plastics, 12 records) is the second-largest branch, covering manufacturing process integration. Structural branches E04C and E04B, layered-product branch B32B, and AI-methods branch G06N each appear at low single-digit counts, indicating emerging but sparse coverage of application-domain and data-driven approaches.
↗ Hover for values · click a bar to ask EurekaHighly cited patent families surfaced by the query
Citation-heavy patent families returned by the query. Use this section as citation context, not as a curated list of the most topic-specific patents.
Boat hull with wood grain finish
A wood grain printed film showing strakes, rails, screws, plugs and caulk is affixed to the outside of fiberglass hulls to provide the appearance of a wood hull boat. The film is adhered to the gel coat by cross-linking to provide a unitary, rigid, resilient structure with impact and abrasion resistance for protecting the gel coat and the watertight… (excerpt from the patent abstract)
| # | Patent | Citations |
|---|---|---|
| 1 | Method of making an object retention liner for con… | 101 |
| 2 | 一种玻璃纤维增强塑料注塑工艺参数多目标优化方法 | 39 |
| 3 | Boat hull with wood grain finish | 14 |
| 4 | GFRP吸力桶基础负压贯入过程的安全评价方法 | 5 |
| 5 | 一种粘接法兰模具与叶片蒙皮一体灌注成型的方法 | 4 |
| 6 | 一种耐腐蚀的海上风电FRP-钢复合塔筒结构多目标优化设计方法 | 3 |
| 7 | 一种基于BIM的大曲面装配式GRC单元式幕墙施工优化方法 | 3 |
| 8 | 一种复合材料仿真的方法及装置 | 2 |
Ranked by total forward citations. Citation counts favour older and broadly cited patent families, and broad or adjacent patents may appear when they match the search scope. Treat this section as citation context, not as a curated list of the most topic-specific patents. Some patent titles may be shown in their original, non-English language where an accurate translation could not be guaranteed.
Assignee snapshot from the current evidence set
The applicants below are visible in this query result. Because the evidence set is relatively small, read this section as a directional snapshot rather than a full competitive ranking.
Nanjing Forestry University
Nanjing Forestry University holds 2 patent records and is classified as a new entrant in the momentum data. Its technology focus is concentrated in G06F (digital data processing and FEM simulation sub-classes G06F 111, G06F 113, G06F 30), indicating a research program centered on computational damage modeling rather than materials processing or end-use structural design.
patent records: 2Kalinga Institute of Industrial Technology
Kalinga Institute of Industrial Technology (a deemed university) holds 2 patent records and is also a new entrant. Unlike the simulation-visible Chinese leaders, its technology emphasis spans E04C 3 (structural building components) and B29C 70 (shaping of plastics/composites), positioning it at the intersection of structural application and manufacturing process — a differentiated route from the visible G06F corridor.
patent records: 2Frequently asked questions
The corpus analyzed contains 37 patent families in scope. The field is early-stage and small in absolute terms, which means individual new filings can meaningfully shift the rankings.
Six organizations are tied at the top with 2 patent records each: Nanjing Forestry University, Jilin Chongtong Chengfei New Material, SAIC Motor, Kalinga Institute of Industrial Technology (Deemed to be University), Ocean University of China, and Reva University. No single organization has a commanding lead.
China leads with 28 patent records, followed by India with 9 and the United States with 2. European, Japanese, and Korean jurisdictions are not represented in the current corpus evidence.
G06F (Electric digital data processing) is by far the visible IPC class, with 31 patent records. This reflects that progressive-damage modeling in GFRP is pursued primarily as a computational simulation and FEM-based problem. Manufacturing process patents (B29C) and structural application patents (E04C, E04B) appear at much lower counts.
The field is classified as Growth stage. Annual filings rose from 1 in 2017 to 10 in 2024, representing 500% growth over the recent window. The 2025 and 2026 counts are understated due to patent publication lag and do not indicate a slowdown.
The sparsest branches relative to the G06F core are G06N (AI and machine learning methods, 3 records), G01N (material testing and model validation, 3 records), and B32B (layered products and laminates, 3 records). These areas have clear technical relevance to progressive-damage modeling but low patent-record coverage in the current corpus.
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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.
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