GAA16CA125
2016-02-12 · Fort Smith, Arkansas, United States · None · 1 aircraft · Status: Completed
Airport FSM
N505PC has since been reassigned. It is now registered to a different aircraft (CIRRUS DESIGN SR22T, built 2022), which was not involved in this event.
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during takeoff in crosswind conditions, which resulted in runway excursion, impact with terrain and an airport sign, and a postimpact fire.
Factual narrative
The pilot reported that during takeoff in gusty crosswind conditions, the wind changed from a left crosswind to a left quartering tail wind. The tail of the airplane was pushed to the right; the nose turned to the left. He further reported that the left wing lifted, which caused the airplane to wheelbarrow off the runway to the left/right and impact an airport sign. Following the impact, the right fuel tank ruptured, the wing caught fire, and the airplane came to a stop. The right wing sustained substantial damage. The pilot reported that there were no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. The pilot reported that during takeoff in gusty crosswind conditions, the wind changed from a left crosswind to a left quartering tail wind. The tail of the airplane was pushed to the right; the nose turned to the left. He further reported that the left wing lifted, which caused the airplane to wheelbarrow off the runway to the left/right and impact an airport sign. Following the impact, the right fuel tank ruptured, the wing caught fire, and the airplane came to a stop. The right wing sustained substantial damage. The pilot reported that there were no preimpact mechanical failures or malfunctions with the airframe or engine that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Environmental issues-Conditions/weather/phenomena-Wind-Crosswind-Effect on operation - C
Verbatim from NTSB's published report. Source file
NTSB_2016_GAA16CA125.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 (runway excursion). All research papers
- SKYbrary (Eurocontrol) 2024 · SKYbrary article Runway Excursion — SKYbrary Knowledge Base
SKYbrary runway excursion review — RE-OE (overruns) + RE-LO (lateral). Risk drivers: long landing, high approach speed, contaminated surface, tailwind, mis-set autobrakes.
- NTSB Aircraft Accident Reports 2019 · Accident report Embraer ERJ 175 Runway Excursion at Charlotte Douglas
Republic Airline ERJ-175 runway excursion CLT, January 2018. Examines a low-energy runway excursion involving misuse of autobrakes + thrust reverser response after a high-crosswind landing on a contam…
- NASA NTRS 2025 · Presentation Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- NASA NTRS 2025 · Conference Paper Uncovering Resilient Behavior in the Aviation Safety Reporting System Using Large Language Models
Resiliency is present in everyday life, both in system design and exhibited by the operators that function within these systems.
- Flight Safety Foundation 2024 · FSF / AeroSafety World Runway Safety Initiative Final Report (RSI)
Foundation Runway Safety Initiative final report — comprehensive analysis of runway excursion + incursion risk drivers worldwide.
- Semantic Scholar 2020 · Article Towards online prediction of safety-critical landing metrics in aviation using supervised machine learning
Abstract In recent years, due to the increased availability of data and improvements in computing power, application of machine learning techniques to various aviation safety problems for identifying,…