NTSB CAROL · Event
Event ERA20CA171
Registry · N231DW
FAA Aircraft Registry record.
Make / Model
MOONEY M20K
Year of manufacture
1979 · 41 years old at event
Engine
CONT MOTOR TSIO-360 SER (225 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
19790615
ADS-B equipped
Yes — Mode-S A20C97
Registrant of record
GLICKSON ALAN S
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The collapse of the left main landing gear for reasons that could not be determined based on the available information.
Factual narrative
According to the pilot, while on approach, he lowered the airplane's landing gear and confirmed that the landing gear was down and locked by observing the panel and floor indicators in the cockpit; however, during the subsequent landing roll, the left main landing gear collapsed. The airplane veered off the left side of the runway into a ditch. Examination of the airplane revealed that the left wingtip spar was buckled, and the torque tubing associated with the left main landing gear was bent and broken. Review of the logbook records did not reveal any recent maintenance on the landing gear system. Due to the damage of the landing gear assembly, a landing gear retraction test or rigging check could not be performed. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft systems-Landing gear system-Gear extension and retract sys-Malfunction - C
- — Not determined-Not determined-(general)-(general)-Unknown/Not determined
Verbatim from NTSB's published report. Source file
NTSB_2020_ERA20CA171.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
What the literature says.
Academic papers and agency reports matching this event's aircraft type or causal vocabulary (maintenance). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- 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 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.
- 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…
- 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 (IJAAA)
Just Culture in Aviation: A Metaphorical Study on Aircraft Maintenance Students
Just Culture, a sub-dimension of safety culture, has been a prominent and debated topic in aviation safety in recent years.
- Embry-Riddle Scholarly Commons 2024 · Journal article (IJAAA)
Performance PRISM: A Comprehensive Framework For Performance Measurement In Aircraft Maintenance
Aircraft maintenance is governed by rigorous safety requirements and high operational complexity, demanding robust performance measurement frameworks to ensure optimal maintenance practices.
Browse the full corpus — academia portal ↗