NTSB CAROL · Event
Event CEN12LA495
Registry · N462CP
FAA Aircraft Registry record.
Make / Model
CIRRUS DESIGN SR22
Year of manufacture
2008 · 4 years old at event
TCDS
A00009CH · CIRRUS DESIGN CORP
Engine
CONT MOTOR IO-550-N (310 hp)
Seats / Engines
4 seats · 1 engine
Last airworthiness date
20080922
ADS-B equipped
Yes — Mode-S A5A149
Registrant of record
PONOZZO DONALD A
Source: FAA Aircraft Registry (releasable master file).
Aircraft involved
Probable cause & findings
The pilot’s loss of control during the takeoff roll for reasons that could not be determined because postaccident examination of the airplane did not reveal any anomalies that would have precluded normal operation.
Factual narrative
On July 29, 2012, about 1430 central daylight time, a Cirrus SR22 airplane, N462CP, veered right during the takeoff roll and impacted trees near Gastons Airport (3M0), Lakeview, Arkansas. The private rated pilot and two passengers were not injured and the airplane was substantially damaged. The airplane was owned and operated by RTJ Aircraft, Inc., Wilmington, Delaware, under the provisions of 14 Code of Federal Regulations Part 91 as a personal flight. Day visual meteorological conditions prevailed for the flight, which operated without a flight plan. The flight was originating from 3M0 at the time of the accident. The pilot reported to the Federal Aviation Administration (FAA) inspector that during the takeoff roll the airplane pulled to the right. He was unable to correct the right turn and the airplane impacted a fence and trees before coming to a stop. Examination of the wreckage revealed that the outboard section of the left wing impacted a tree and was severed from the rest of wing; the remaining section, near the wing root, remained with the fuselage. A small outboard section of the right wing was separated during impact with the tree. The grass runway surface had the airplane’s tracks leading to the right, into the trees and fence. No obstacles or airplane debris were noted on the runway surface. The National Transportation Safety Board (NTSB) and a technical representative from the airframe manufacturer examined the airplane at a salvage yard. Examination of the airplane did not reveal any pre-impact mechanical malfunctions. The airplane’s Recoverable Data Module (RDM) and flight display’s data cards were removed and sent to the NTSB Vehicle Recorder Laboratory in Washington, D.C., for download. The display’s data cards did not contain any suitable data. The RDM records numerous airplane parameters. The RDM normally records both left and right brake temperatures; however, data for the left brake was absent on the RDM. The temperature data for the right brake started at about 105 degrees F, and rose to a maximum of about 120 degrees Fahrenheit (F). Other than the missing left brake temperature readings, no other abnormalities were noted. During the takeoff roll on a grass runway, the airplane veered right and impacted trees and a fence. A check of the runway surface did not reveal any obstacles or reasons for the right turn. Examination of the airplane did not reveal any preimpact malfunctions with the airplane’s controls. The airplane was equipped with a Recoverable Data Module (RDM,) which records various aircraft parameters, including brake temperatures. The right brake temperature started at about 105 degrees Fahrenheit (F) and rose to a high of about 120 degrees F. The left brake temperature was not captured by the RDM, suggesting that the temperature sensor was not working at the time of the accident. Without the left brake sensor reading, a comparison of the left and right brake temperatures cannot be made; therefore, it cannot be determined if the pilot inadvertently applied the right brake during the takeoff roll. 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 Not determined-Not determined-(general)-(general)-Unknown/Not determined - C
- 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_2012_CEN12LA495.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 (loss of control). Sourced from NASA NTRS, NTSB Safety Studies, FAA CAMI, AOPA Air Safety Institute, Embry-Riddle Scholarly Commons, arXiv, and the Semantic Scholar academic graph.
- Embry-Riddle Scholarly Commons 2025 · Journal article (JAAER)
A Scoping Review of Aviation Loss of Control Inflight Research
Loss of control – inflight (LOC-I) contributes to aircraft accidents at unacceptably high rates. Significant industry efforts and research have aimed to improve LOC-I prevention, detection, and recove…
- SKYbrary (Eurocontrol) 2024 · SKYbrary article
Loss of Control In-Flight (LOC-I) — SKYbrary Knowledge Base
SKYbrary comprehensive knowledge-base entry on Loss of Control In-Flight — definitions, contributing factors, accident case studies (Air France 447, Colgan 3407), and prevention strategies.
- NTSB Aircraft Accident Reports 2022 · Accident report
Loss of Control on Takeoff in Icing Conditions — Citation 560XL
Cessna Citation 560XL fatal takeoff icing accident, March 2018. Investigation of a Citation 560XL loss-of-control takeoff accident in icing conditions.
- 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.
- NASA NTRS 2021 · Conference Paper
Use of Design of Experiments in Determining Neural Network Architectures for Loss of Control Detection
We describe empirical methods for selecting a neural network architecture to implement belief state inference on generic commercial transport aircraft.
Browse the full corpus — academia portal ↗