Browse Topic: Risk assessments
Aircraft Certification is a mature and complex bureaucracy that has successfully ensured a very high degree of safety of aircraft design, construction, operation and maintenance. Outside of a very few doing the work, there is a general lack of knowledge of certification details. For novel technologies such as electric power, and innovative configurations such as multi-rotors, the rules are far less mature and still emerging and so also poorly understood. Within the Advanced Air Mobility (AAM) initiative, many new aircraft developments are underway using novel configurations, and the public announcements of regulatory progress toward FAA or EASA Type Certification capitalize on this ignorance by being vague or even misleading. Honeywell conceived the Regulatory Readiness Level (RRL) indicator as an objective measure of certification status to serve the AAM industry and ecosystem, with applicability across aviation. The released RRL Version 1 now enables credible, objective assessment of new aircraft progress toward FAA Type Certification, and Operational Approval for Part 135 operations, to allow consistent apples-to-apples comparisons with other aircraft in development. An emerging complementary version of the rubric for EASA Type Certification is ready for publication to enable RRL determination against the European Union criteria. Future releases will consider other Nation's regulatory authorities, supplemental types certifications (STCs), and risk-based airworthiness assessments such as the Specific Operations Risk Assessments (SORA).
The airframe digital twin analysis framework developed at the National Research of Canada is being transposed to safe life applications for rotorcraft components. A probabilistic safe life prediction approach, consisting of uncertain material property data and uncertain load spectra is used to calculate risk assessment metrics, such as the cumulative probability of failure, the hazard rate, and the average hazard rate as a function of time. A demonstration of this approach is presented for a CH-146 Griffon component, for which the uncertain loads are estimated from a model developed through machine learning. This preliminary assessment shows the feasibility of using digital twin concepts as a viable alternative to traditional deterministic life predictions, with the potential to reduce maintenance costs and increase aircraft availability.
ABSTRACT
ABSTRACT
ABSTRACT
Military rotorcraft engines operating in harsh environments routinely ingest large quantities of mineral dust, which can degrade components and ultimately reduce operability. Time off-wing for unscheduled maintenance is a costly burden, both financially and operationally. Rapidly predicting engine deterioration rates as a function of the mission presents an opportunity to optimise flow of supplies, better manage fleets, and perform safety risk assessments when dust loading is expected to be particularly high. In the current contribution, we present our ongoing efforts in this field with a new methodology for assessing the effectiveness of inertial particle separators and quantifying the changes they impart to the inbound dust. We demonstrate that both the concentration reduction and the modification to the particle size distribution can be made on the basis of a single independent variable- a generalised Stokes number for inertial particle separators- and a single performance parameter- the corrected separation efficiency. To develop these parameters we conduct numerical simulations of the flow through a generic axi-symmetric inertial particle separator, over a range of five mass flow rates, three scavenge mass flow rates, and 16 particle diameters. In addition to this, a framework is presented to enable an estimation of the dust concentration at the engine intake. This is achieved by correlating the total wake strength to an existing dust landing trial dataset. A coupled rotorcraft-engine model is then used to combined the two methodologies to investigate the influence of engine mass flow rate on dust ingestion rate. A weak non-linear relationship is observed, which arises due to the simultaneous increase in wake strength with engine mass flow rate as rotor power requirements increase. The additional dust stirred up by the stronger wake leads causes this non-linearity. Finally, we show that an improvement in separation efficiency caused by higher engine mass flow rate is far outweighed by the associated increase in dust loading in this condition.
Quantitative Risk Assessment has become essential in rotorcraft safety risk management. Measures of risk include Cumulative Fleet Risk (also called Risk Factor), Risk per Flight, and Risk per Flight Hour. Each measure applies to a different situation and can produce the same or different predictions of future risk. Risk for a large fleet of aircraft might be accurately predicted by Cumulative Fleet Risk, whereas Risk per Flight or Risk per Flight Hour might be best for a small fleet of rotorcraft, a flight test program, or a fleet with low flight hours. Calculating risk per flight hour seems as simple as dividing the number of previous occurrences by the flight hours for the total fleet, but this is appropriate only in the case of random distribution. Most failures that lead to hazards are not random because the failure mechanism has a specific cause. A more appropriate method is to develop the future event forecast using Quantitative Risk Assessment, then divide that by the future fleet hours. The simple division process requires only two numbers and can be completed quickly, but with a possibly inappropriate or misleading result for anything but a random distribution. The approach presented here results in a risk prediction that is appropriate for hazard rates that are increasing, decreasing, or constant, and for non-random distributions, which could prevent misleading or unconservative risk management decisions.
The success of the flight mission is closely related to a wide set of factors that must be taken into consideration. Combining all these elements together, the risk associated to the flight can raise significantly, eventually resulting in a situation in which the flight should be cancelled, unless some mitigation of the risk factors are applied. The aim is the understanding of the expectable human abilities and limitations, in correlation with the aircraft status and all the external elements related to the flight. Following the guidance contained in Ref.1, this knowledge has being applied in the definition of a standardize approach for the design of the risk assessment procedures and software requirements. For the safety of the flight, it is essential that the pilot is able to discern in advance between a low and a high risk flight. With a Flight Risk Analysis Tool (FRAT) the pilot can proactively identify the hazard with a visual representation of the risk, applying an evaluation process and risk mitigation strategies, as described in Ref. 2. Moreover to better support this analysis the tool shall be enough complex to consider all aspects, but at the same time, easy to use and simply accessible (i.e. usable by an application installed on the portable device). SkyFlight has been developed to support the flight planning activities for the rotorcraft mission, being the optimal offaircraft mean to carry out the evaluation of the flight, ensuring a thorough Safety Assessment. Pilots have SkyFlight application installed on their portable devices to access the service. As presented in Ref.3, SkyFlight gives to the Pilot a deep understanding of the current situation and the involved dynamics, to anticipate changes and future developments, and to clearly understand the consequences related to the flight. The features are designed to positively increase the Pilot Situational Awareness and reduce mission risks. The Safety is spread within all functionalities, starting from simple and common concepts, to a finer level with a deep performance calculations and what-if analysis. To further increase the safety, the latest developed functionality is the Flight Risk Assessment, which has been developed following the EASA and FAA standards, discussed in Ref. 4 and 5, and embedding the EHEST pre-departure Risk Assessment Checklist, provided in Ref. 5. The predefined set of checklist is available to support different types of flight (Training, HEMS, passenger, etc.) and each list is based on the PAVE (Pilot, Aircraft, Environment, External pressure) areas. In addition to the pre-departure Checklists, also In-flight and Post-flight Checklists have been shaped, following the approach discussed in Ref. 6. Through SkyFlight the pilot is able to fill the Risk Assessment Checklist, inserting mitigations where applicable and view the total score. The filled checklist can be saved and shared. It is also possible to export them in a pdf format and to send automatically via email to one or more email addresses. In addition to this, which reflects the state of the art for FRAT, some other peculiar features have been designed. Indeed, to better support the different rotorcraft missions and to meet the process of each operator, the Risk Assessment Checklists will be completely customized by the company safety manager. The functionalities have then being further enhanced with software developments to add value to the tool with both small and big features. For example, the order of the multiple choice answers changes every time the pilot access to the checklist, to guide her/him to read carefully the answers before the selection. More complex functionalities have been inserted to connect the flight planned with SkyFlight to the hazard evaluation, showing the weather data and all the notifications associated to the flight (NOTAMs, Warning/restrictive Airspaces infringements ...). AW SkyFlight application can be installed on personal portable devices and the Flight Risk Assessment functionality can be used for free, to let every pilot from the general aviation to access to the safety enhancements above described. The FRAT capabilities, usability and utility have been then tested with the Leonardo Helicopters Division pilots as well as a set of specific customers pilots as representatives of the different types of operations (in the Executive and Private transport, Medical and Rescue services, Offshore operations, Security services and Utility).
Loss of Tail rotor Effectiveness (LTE) is a critical low-speed aerodynamic flight characteristic that causes an unanticipated rapid yaw rate that will not subside on its own. Multiple factors influence this aerodynamic condition, like environmental conditions, helicopter model specifications and phases of flight. However, predictions of which of those elements cause a higher risk for LTE has not been determined as of yet. Because of this knowledge gap, pilots are often not trained well enough to proactively recognize the proximity to LTE, leading to several accidents in which the pilot fails to maintain directional control. This study begins to characterize the factors that contribute to LTE and the importance of this to helicopter safety. An LTE bowtie diagram is proposed to support hazard risk assessment and mitigation. The diagram is built through accident reviews and aims to give pilots a schematic summary of all the scenarios that may lead to LTE. Further, a new systematic filter-based framework able to detect proximity to LTE events within Helicopter Flight Data Monitoring (HFDM) is proposed. Safety-events detection is the main method of analysis used within HFDM. This method compares flight data to a large safety-event database, which includes predefined hazardous flight conditions and different levels of proximity to events. Through this framework, participating operators will be able to easily analyze data from multiple flights, visualize the results, and provide feedback to the pilots. This will promote pilots' awareness on the proximity to LTE during flight and educate them on conducting proactive LTE risk evaluations.
ABSTRACT Airframes in the future will include a significant amount of composite material components that need to be designed for both optimal structural efficiency and damage tolerance. Current composite design methodology relies on the establishment of worst-case scenarios for each of the factors that influence the structural capacity and life of airframe components. The layered application of these factors can result in excessive levels of conservatism and maintenance requirements that reduce aircraft availability. The combat aircraft of the future can be designed and maintained based on specific knowledge derived from data driven methodologies to define risk, threat impact, and measured structural response in order to maximize aircraft availability, while ensuring safety and reliability. This work describes an Advanced Structural Integrity Framework (ASIF) that probabilistically models composite residual strength. Full-scale damage tolerance tests of a UH-60M stabilator provided input data for various threat types and severities. Threat probabilities were derived from prior studies and recent fleet repair data. The model estimated the risk of failure in various structural zones to identify areas for reducing conservatism. Trend studies confirmed that the model appropriately responded to changes in composite material properties and threat exposures, thus showing its potential as a powerful structural risk assessment tool for design and fleet management.
ABSTRACT This paper presents the testing and analysis methods used in estimation of TH-1H flight loads and validation of a finite element model using data gathered during a static crane lift and flight strain survey. Analysis methods and results are emphasized here as most testing methods and data have been shared in previous forums. This is followed by a discussion of the resulting computed load values and their verification through comparisons to operational parameters such as aircraft weight and vertical acceleration. It was found that computed loads and moments compare well to flight conditions. For example, main rotor lift force correlates well to the product of aircraft weight and vertical acceleration (Nz). Preliminary results also show that the computed static and dynamic loads lead to strain predictions that have a good overall trend when compared to measured values, but more work is needed to improved correlations with individual sensors. Further development of these loads will allow the H-1 program office to use them to better address structural repairs, flight severities, and risk analyses. Accurately predicted aircraft response at the sensors from both static and dynamic inputs will enable the development of stress spectra to be used for durability and damage tolerance analyses and service life development.
ABSTRACT This paper provides a detailed examination of Quantitative Risk Assessment and qualitative risk assessment, and it compares the advantages, disadvantages, and usefulness of each process. It describes why Quantitative Risk Assessment is becoming more commonly used in rotorcraft safety risk management; it concludes with an approach that would employ the best of both methods, and it provides resources for further study.
Items per page:
50
1 – 50 of 153