GAA19CA276
2019-05-22 · Louisa, Virginia, United States · None · 1 aircraft · Status: Completed
Airport LKU
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during landing, which resulted in a runway excursion and the landing gear collapsing.
Factual narrative
The pilot of the tailwheel-equipped airplane reported that during landing, while decelerating, the airplane veered left. He applied full right rudder, but there was "little to no change in the yaw" with the control stick full aft. The tailwheel had "unlocked" when it contacted the runway since the airplane was yawed to the left. He added engine power to increase airflow for better rudder effectiveness and the airplane began to straighten out, but the airplane exited the runway to the left and the right main landing gear collapsed. The airplane sustained substantial damage to the right wing lift strut. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The airport's automated weather observation station reported that, about 5 minutes before the accident, the wind was calm. The pilot landed the airplane on runway 04. The pilot reported that, during landing and while decelerating, the airplane veered left. He applied full right rudder, but there was "little to no change in the yaw" with the control stick full aft. He added that the tailwheel had "unlocked" when it contacted the runway because the airplane yawed left. He added engine power to increase airflow for better rudder effectiveness, and the airplane began to straighten out, but it then exited the runway to the left, and the right main landing gear collapsed. The airplane sustained substantial damage to the right-wing lift strut. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
FAA avdata. C = Cause, F = Factor.
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Directional control-Not attained/maintained - C
Verbatim from NTSB's published report. Source file
NTSB_2019_GAA19CA276.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
Search this event elsewhere
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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,…