NTSB CAROL · Event
Event GAA18CA403
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain the runway heading during a soft-field takeoff with a tailwind, which resulted in a rejected takeoff.
Factual narrative
The pilot reported that, during a practice soft field take off in light wind conditions, as the airplane's nose wheel lifted off the runway, he released the aft pressure on the yoke. The airplane "found" ground effect and "all felt normal". The airplane then began to drift left, he applied right rudder, but the rudder input had little effect. Since the landing gear was not yet retracted, he landed the airplane on the grass off the end of the runway. During the ground roll, the left wing hit a tree and went through a barbed wire fence. The airplane sustained substantial damage to the left wing. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The automated weather observation system at the accident airport reported that, about the time of the accident, the wind was from 100° at 5 knots. The pilot departed on runway 32. The pilot reported that, while practicing a soft-field takeoff in light wind conditions, as the nosewheel lifted off the runway, he released the aft pressure on the yoke. The airplane "found" ground effect, and "all felt normal." The airplane then began to drift left, so he applied right rudder, but the rudder input had little effect. The landing gear was not yet retracted, so he landed the airplane on the grass off the end of the runway. During the ground roll, the left wing hit a tree and went through a barbed wire fence. The airplane sustained substantial damage to the left wing. The pilot reported that there were no preaccident mechanical failures or malfunctions with the airplane that would have precluded normal operation. The automated weather observation system at the airport reported that, about the time of the accident, the wind was from 100° at 5 knots. The pilot departed from runway 32. Source: NTSB Aviation Accident Database Retrieved: 2026-02-12
NTSB Findings
Hierarchical cause / factor breakdown from the FAA bulk avdata database. Each finding tagged C (Cause) or F (Factor).
- C Aircraft-Aircraft oper/perf/capability-Performance/control parameters-Heading/course-Not attained/maintained - C
- C Personnel issues-Task performance-Use of equip/info-Aircraft control-Pilot - C
- — Environmental issues-Physical environment-Object/animal/substance-Tree(s)-Effect on equipment
- — Personnel issues-Action/decision-Info processing/decision-Decision making/judgment-Pilot
- — Environmental issues-Physical environment-Object/animal/substance-Fence/fence post-Contributed to outcome
- — Environmental issues-Physical environment-Object/animal/substance-Tree(s)-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2018_GAA18CA403.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 (icing). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- NASA NTRS 2026 · Contractor Report (CR)
Icing Physics Studies Using the 3D SIDRM Test Article: 2023 Icing Tests Analysis
In-flight icing is an important safety issue and is a factor that affects aircraft design and performance. Newer regulations are driving a need for improvements in airframe and engine icing simulation…
- arXiv 2025 · arXiv preprint
Multi-Agent Deep Reinforcement Learning for UAV-Assisted 5G Network Slicing: A Comparative Study of MAPPO, MADDPG, and MADQN
The growing demand for robust, scalable wireless networks in the 5G-and-beyond era has led to the deployment of Unmanned Aerial Vehicles (UAVs) as mobile base stations to enhance coverage in dense urb…
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Mathematical Model on the Temporal Dynamics of Aviation Competitive Pricing
This study investigates the competitive dynamics of airport pricing using U.S. airport data to validate the findings. It employs linear and nonlinear ordinary differential equation models to analyze t…
- NASA NTRS 2025 · Presentation
NASA Icing Update – March 2025
This NASA Icing Update was prepared for presentation to the SAE International AC-9C Inflight Icing Technology Committee. This update includes the following topics: planned Rotational Icing Scaling tes…
- arXiv 2024 · arXiv preprint
An energy-stable phase-field model for droplet icing simulations
A phase-field model for three-phase flows is established by combining the Navier-Stokes (NS) and the energy equations, with the Allen-Cahn (AC) and Cahn-Hilliard (CH) equations and is demonstrated ana…
- NASA NTRS 2024 · Presentation
NASA Icing Update – Oct 2024
This presentation provides a status update on select NASA icing research activities for the SAE AC-9C Icing Technical Committee Meeting on Oct 21, 2024.
Browse the full corpus — academia portal ↗