NTSB CAROL · Event
Event FTW98LA416
Registry · N59GB
FAA Aircraft Registry record.
Make / Model
CESSNA 551
Year of manufacture
1982 · 16 years old at event
Engine
P&W CANADA JT15D-4
Seats / Engines
8 seats · 2 engines
Last airworthiness date
19820222
ADS-B equipped
Yes — Mode-S A79BA6
Registrant of record
TH LEASING CORP
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot's delayed flare, improper recovery from a bounced landing, and failure to maintain directional control. A factor was the rough uneven terrain.
Factual narrative
On September 28, 1998, at 1047 mountain daylight time, a Cessna 551, N59GB, owned and operated by Ram Air Sales and Leasing, LLC, was substantially damaged during landing at Pueblo Memorial Airport, Pueblo, Colorado. The private pilot and his three passengers were not injured. Visual meteorological conditions prevailed, and an IFR flight plan had been filed for the personal flight conducted under Title 14 CFR Part 91. The flight originated at Traverse City, Michigan, at 0900 eastern daylight time. According to the pilot's accident report, he was landing on runway 8L (10,496 ft. X 150 ft., asphalt). He said the landing was normal. He pushed the nose forward and was in the process of deploying the thrust reversers when the front of the airplane began to "veer and then oscillate up and down." The airplane felt "very stiff up front as if [it] had hit something." The airplane became airborne and touched down again, then veered off the runway. The fuselage and both wings sustained internal damage. The nose gear was destroyed. Control tower personnel told an FAA inspector that it appeared to them that the pilot had made a "hard landing." Post-accident inspection disclosed no objects or debris on the runway. The pilot, Michael Roberts, recalled that another pilot had inadvertently taxied the airplane off the runway at Traverse City and had become mired in mud. He said the incident had occurred about one year before the accident. Mr. Roberts said a cable had been wrapped around the nose wheel strut by the retrieval crew and the airplane winched out of the mud. He said the steering had not been the same since that incident. A review of the airplane maintenance records revealed no entries made as a result of this excursion. The shimmy dampner was removed from examination and testing. Accident damage precluded an assessment of its proper operating condition. The airplane was equipped with a cockpit voice recorder (CVR). It was removed and shipped to NTSB's laboratory for readout. According to the CVR specialist who listened to the tape, nothing was heard that would have added to or clarified what the pilot reported. The pilot said his landing on runway 8L (10,496 ft. X 150 ft., asphalt) was normal. He pushed the nose forward and began to deploy the thrust reversers when the front of the airplane began to 'veer and then oscillate up and down.' The airplane felt 'very stiff up front as if [it] had hit something.' The airplane became airborne and touched down again, and went off the side of the runway. Control tower personnel said it appeared to them that the pilot had made a 'hard landing.' The pilot recalled that another pilot had inadvertently taxied the airplane off a runway and had become mired in mud. The incident had occurred about one year before the accident. A cable had been wrapped around the nose wheel strut by the retrieval crew and the airplane winched out of the mud. Reportedly, the steering had not been the same since that incident. A review of the airplane maintenance records revealed no entries made as a result of this excursion. Source: NTSB Aviation Accident Database (Pre-2008 Archive) Retrieved: 2026-02-12
Verbatim from NTSB's published report. Source file
NTSB_1998_FTW98LA416.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 ↗