CEN21LA267
2021-06-14 · Roanoke, Texas, United States · Minor · 1 aircraft · Status: Completed
Airport 52F
Current FAA registration · N503GL
- Make / Model
- GREAT LAKES 2T-1A-1
- Engine
- LYCOMING 0-320 SERIES (180 hp)
- Seats / Engines
- 2 seats · 1 engine
- Last airworthiness date
- 19731115
- ADS-B equipped
- Yes — Mode-S A645B6
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
Inadequate maintenance of the brake system which resulted in the caliper binding closed and the subsequent loss of directional control during the landing roll.
Factual narrative
The pilot reported that when he applied “light even braking” during the landing roll, the airplane abruptly veered left. He added full right rudder and brake, but the airplane continued to the left and exited the runway surface. The airplane sunk into the soft dirt, nosed over, and came to rest inverted. The airplane sustained substantial damage to the upper wing and rudder. The pilot further reported that the brakes had been replaced during the last annual inspection which occurred about 1 hour before the accident. An on scene examination of the brake system revealed that the left wheel would not rotate. The brake caliper was disassembled; the caliper pins exhibited brake dust and brake fluid residue which is not consistent with new brakes. Therefore, it is likely the caliper was stuck closed during landing due to the brake dust and brake fluid reside on the caliper pins. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- — Aircraft-Aircraft oper/perf/capability-Aircraft capability-Braking capability-Malfunction
- — Aircraft-Aircraft systems-Landing gear system-Brake-Incorrect service/maintenance
- — Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Attain/maintain not possible
Verbatim from NTSB's published report. Source file
NTSB_2021_CEN21LA267.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
External sources are reported, not agency: signal that something happened, not fact about what happened.
- TallyAero Live Wire Aviation press
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Related research
Matched on aircraft type or causal vocabulary (maintenance). All research papers
- Embry-Riddle Scholarly Commons 2026 · Journal article (IJAAA) From Reactive to Predictive: A hybrid Trust-Mediated Adoption Framework for Data-Driven Maintenance in Distributed-Authority Aviation Environments
Modern aviation maintenance operates within increasingly data-intensive technological environments, yet the operational integration of predictive maintenance into routine decision-making remains incon…
- Semantic Scholar 2026 · Article (Reliability Engineering & System Safety) Understanding human error in military aviation maintenance: The role of Performance shaping factors, cognitive workload and error orientation
- Semantic Scholar 2025 · Article (Applied Sciences) Decision-Making Framework for Aviation Safety in Predictive Maintenance Strategies
The implementation of predictive maintenance (PM) in aviation presents unique challenges due to strict safety requirements, complex operational environments, and regulatory constraints.
- Semantic Scholar 2024 · Article (Defence Science Journal) Modelling of Human Factors in Aviation Maintenance Using HFACS ME Human Factors Analysis and Classification System Maintenance Extension and Bayesian Network
Aircraft maintenance is a complex task involving a skilled human workforce, spare parts, and various other resources. Human factors are an inherent element of the human workforce.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) A New Trajectory in UAV Safety: Leveraging Reinforcement Learning for Distance Maintenance Under Wind Variations
In the field of aviation, safety is a critical cornerstone, and the operation of Unmanned Aerial Vehicle (UAV) systems is deeply connected with this principle.
- Embry-Riddle Scholarly Commons 2024 · Journal article (JAAER) Low-Resource Automatic Speech Recognition Domain Adaptation – A Case-Study in Aviation Maintenance
With timeliness and efficiency being critical in the aviation maintenance industry, the need has been growing for smart technological solutions that optimize and streamline the different underlying ta…