ERA15CA320
2015-08-15 · Bladenboro, North Carolina, United States · Minor · 1 aircraft · Status: Completed
Airport 3W6
Aircraft involved
Probable cause & findings
The pilot's failure to maintain directional control during takeoff, which resulted in a runway excursion and collision with a ditch.
Factual narrative
The pilot reported that the during the takeoff roll on a 2,850-foot-long, 135-foot-wide turf runway, the experimental, amateur-built, tailwheel airplane began to veer left as full engine power was attained. The pilot was unable to correct with right rudder and right brake input. She subsequently attempted to takeoff before the airplane veered too far, but it then began to porpoise. As the pilot started to reject the takeoff, the airplane traveled off the left side of the runway, struck a ditch and came to rest upright. The pilot reported that she had in excess of 1,800 hours of tailwheel experience; however, only 2.1 hours were in the same make and model as the accident airplane. She added that there were no preimpact mechanical malfunctions with the airplane and the wind was light and variable at the time of the accident. Examination of the airplane by a Federal Aviation Administration revealed damage to both wings and the fuselage. The pilot reported that the during the takeoff roll on a 2,850-foot-long, 135-foot-wide turf runway, the experimental, amateur-built, tailwheel airplane began to veer left as full engine power was attained. The pilot was unable to correct with right rudder and right brake input. She subsequently attempted to takeoff before the airplane veered too far, but it then began to porpoise. As the pilot started to reject the takeoff, the airplane traveled off the left side of the runway, struck a ditch and came to rest upright. The pilot reported that she had in excess of 1,800 hours of tailwheel experience; however, only 2.1 hours were in the same make and model as the accident airplane. She added that there were no preimpact mechanical malfunctions with the airplane and the wind was light and variable at the time of the accident. Examination of the airplane by a Federal Aviation Administration revealed damage to both wings and the fuselage. 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
Verbatim from NTSB's published report. Source file
NTSB_2015_ERA15CA320.txt.
Findings + structured fields enriched from FAA avall.mdb.
Full investigation docket on
data.ntsb.gov ↗.
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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,…