CEN16LA316
2016-08-09 · Winterset, Iowa, United States · None · 1 aircraft · Status: Completed
Airport 3Y3
Aircraft involved
Probable cause & findings
The pilot’s failure to maintain directional control of the airplane during the landing roll, which resulted in an on-ground collision with two parked airplanes.
Factual narrative
On August 9, 2016, at 1600 central daylight time, an amateur-built Schabacker Konrad J Acro Sport II, N6214C, collided with two parked airplanes following a loss of control while landing at the Winterset Municipal Airport (3Y3), Winterset, Iowa. Neither the airline transport pilot (ATP) pilot nor the airplane owner/pilot rated-passenger were injured. The airplane was substantially damaged. The aircraft was registered to the pilot-rated passenger and it was being operated under the provisions of 14 Code of Federal Regulations Part 91 as a personal flight. Visual meteorological conditions prevailed for the flight, which was not operated on a flight plan. The flight originated from the Mason City Municipal Airport (MCW), Mason City, Iowa, at 1340.The airplane owner had recently purchased the airplane and had the pilot fly the airplane because the airplane owner did not hold an endorsement to fly tailwheel equipped airplanes. The pilot had a total flight time of 2.5 hours in the accident airplane. The pilot reported they overflew the airport, checked the windsock, and noted the wind was calm so they decided to land on runway 32. Shortly into the landing roll, the airplane began to veer to the left. The pilot straightened the airplane and added engine power to initiate an aborted landing. The airplane once again veered to the left and traveled down an embankment before it collided with two unoccupied parked airplanes on the ramp which were: N601FA, an Aerostar 601P, and N31EG, a Piper PA-23-250. The pilot reported the local wind was calm at the time of the landing. The winds recorded at Des Moines International Airport, Des Moines, Iowa, located about 22 miles northeast of 3Y3, were from 150 degrees at 6 knots. A postaccident examination of the landing gear and brakes was conducted by a Federal Aviation Administration inspector. The inspector reported that he did not find any anomalies that would have prevented the pilot's ability to maintain directional control of the airplane. In addition, the pilot reported that there was no mechanical failure/malfunction of the airplane. The commercial pilot was landing the airplane during a cross-country flight. The pilot reported that, during the landing roll, the airplane veered left. The pilot straightened the airplane and added power to go around, but the airplane again veered left, traveled off the side of the runway, and impacted two airplanes parked on the ramp. A postaccident examination of the airplane confirmed the pilot's report that there were no 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
- — Environmental issues-Physical environment-Object/animal/substance-Aircraft-Contributed to outcome
Verbatim from NTSB's published report. Source file
NTSB_2016_CEN16LA316.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 (loss of control). All research papers
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- Semantic Scholar 2021 · Article (Aviation) ANALYSIS OF GENERAL AVIATION FIXED-WING AIRCRAFT ACCIDENTS INVOLVING INFLIGHT LOSS OF CONTROL USING A STATE-BASED APPROACH
Inflight loss of control (LOC-I) is a significant cause of General Aviation (GA) fixed-wing aircraft accidents. The United States National Transportation Safety Board’s database provides a rich source…
- NASA NTRS 2021 · Presentation Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
Abstract—We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.