NTSB CAROL · Event
Event ATL02IA165
Aircraft involved
Probable cause & findings
The improper service of the left main landing gear socket, resulting in fatigue failure of the left main landing gear socket assembly at the lower scissor attachment point.
Factual narrative
On August 29, 2002, at 1730 eastern daylight time, a Beech 1900B, N81533, registered to Gulfstream International Aviation and operated by Continental Connection, main landing gear failed during landing roll at Tampa International Airport, Tampa. The scheduled flight was operated under the provisions of Title 14 CFR part 121 with an instrument flight plan filed. Visual meteorological conditions prevailed at the time of the accident. The airplane sustained minor damage; the air transport pilots were not injured nor were the thirteen passengers. The flight departed Ft. Lauderdale Airport, Ft. Lauderdale, Florida, at 1445. According to the pilot, as the airplane decelerated to 40 knots during the landing rollout he felt a vibration in the airframe. As the airplane continued to slow down the airplane began to pull to the left. The pilot stopped the airplane on the runway. During the post-flight examination of the airplane the pilot discovered that the left main landing gear had turned 90 degrees to the left. The examination also revealed a fracture in the left main landing gear socket. Examination of the left main landing gear socket assembly fracture revealed, two fatigue regions initiated from the lower corner lug base radii and along the left and right base radii with multiple origins. The fatigue failure occurred at the lower torque knee attach point on the main landing gear socket assembly. Between the two fatigue regions, features consistent with overstress were observed. The lug was stripped of paint to reveal the underlying surface features. Both the lower lug corner radii were confirmed to show marks consistent with repair blending. According to the Raytheon component maintenance manual 32-10-00, pages 18-19 the blend is an allowed repair procedure. According to the blend repair procedure the surface is to be blended to surface finish comparable to that produced by 250 grit sand paper. A comparison was made between the surface finish in the repair area, and the surface produce by 240 grit sand paper on the part, which is slightly coarser than the 250 grit required. The surface finish in the repair region was much rougher than that produced by 240 grit sand paper. According to the pilot, as the airplane decelerated to 40 knots during the landing rollout he felt a vibration in the airframe. As the airplane continued to slow down the airplane began to pull to the left. The flight crew stopped the airplane on the runway. During the post-flight examination of the airplane the pilot discovered that the left main landing gear had turned 90 degrees to the left. The examination also revealed a fatigue fracture in the left main landing gear socket assembly. Examination of the socket assembly fracture revealed two fatigue regions initiated from the lower corner lug base radii and along the left and right base radii with multiple origins. Both the lower lug corner radii were confirmed to show marks consistent with repair blending. According to the blend repair procedure the surface is to be blended to surface finish comparable to that produced by 250 grit sand paper. A comparison was made between the surface finish in the repair area, and the surface produce by 240 grit sand paper on the part, which is slightly coarser than the 250 grit required. The surface finish in the repair region was much rougher than that produced by 240 grit sand paper. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_2002_ATL02IA165.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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Related research
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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.
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