NTSB CAROL · Event
Event GAA15CA177
Aircraft involved
Probable cause & findings
The glider pilot's failure to connect the elevator to the elevator control rod during the assembly process, resulting in a loss of control, and a collision with terrain during takeoff.
Factual narrative
The pilot reported that during the glider assembly process, he was distracted several times, and did not connect the elevator to the elevator control rod. He reported that during the takeoff, while being towed by an airplane, there was an "abnormal pitch up." The pilot wrote that he was "rolling left, pitching up, and losing sight of the tow plane" and that he released the tow line. The glider bounced off the ground, impacted a tree line, and sustained substantial damage to the fuselage and both wings. The pilot reported that during the glider assembly process, he was distracted several times, and did not connect the elevator to the elevator control rod. He reported that during the takeoff, while being towed by an airplane, there was an "abnormal pitch up." The pilot wrote that he was "rolling left, pitching up, and losing sight of the tow plane" and that he released the tow line. The glider bounced off the ground, impacted a tree line, and sustained substantial damage to the fuselage and both wings. 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 Personnel issues-Task performance-Maintenance-Installation-Owner/builder - C
- C Aircraft-Aircraft systems-Flight control system-Elevator control system-Incorrect service/maintenance - C
- — Environmental issues-Physical environment-Object/animal/substance-Tree(s)-Contributed to outcome
- — Personnel issues-Psychological-Attention/monitoring-Task monitoring/vigilance-Owner/builder
Verbatim from NTSB's published report. Source file
NTSB_2015_GAA15CA177.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 ↗