Assessment and Rehabilitation of Foreign Object Damage Potential on Airfield Shoulder and Blast Pavements

2005 ◽  
Vol 1915 (1) ◽  
pp. 105-111
Author(s):  
Katherine Keegan ◽  
Scott D. Murrell ◽  
Guy Zummo ◽  
Gonzalo Rada
Keyword(s):  
New York ◽  
Flight Control ◽  
Aircraft Engine ◽  
Rehabilitation Program ◽  
Pavement Management ◽  
Aviation Industry ◽  
Foreign Object ◽  
Damage Potential ◽  
Foreign Object Damage ◽  
Pavement Maintenance

Foreign object damage (FOD) is a term used by the aviation industry to describe damage caused by any object that can be ingested by an aircraft engine or flight control mechanism. FOD is estimated to cost the global aerospace industry up to $4 billion annually. Deteriorated pavements are one source of FOD and fall into two categories: runway, taxiway, and apron pavements that aircraft traverse and shoulders and other infield pavements that are not traversed but are subjected to jet blast. Widely recognized procedures for the assessment of pavements traveled on by aircraft are well documented. However, procedures for the assessment of FOD potential for shoulder and blast pavements at commercial airports are not widely recognized. In an effort to manage shoulder and blast pavements proactively and eliminate pavement-related FOD incidents, the Port Authority of New York and New Jersey undertook to assess the current condition of these pavements, rehabilitate and repair areas with unacceptable FOD potential, and initiate periodic inspections on these pavements to facilitate the implementation of an effective pavement maintenance and rehabilitation program. To achieve this goal, a dual project- and network-level inspection approach was implemented. The project-level objective was to identify immediate repairs needed to address unacceptable FOD potential. The network-level objective was to assess the current condition and initiate a proactive inspection regime to assist in maintaining these pavements. The approaches to assessment and rehabilitation are detailed and steps to implement a pavement management system for these pavements are discussed.

scholarly journals Microstructural Characterization of Failed Aircraft Antenna

2018 ◽  
Vol 3 (4) ◽  
pp. 171-181
Author(s):  
Premkumar Manda ◽  
A Sambasiva Rao ◽  
Satyapal Singh ◽  
Ashok Kumar Singh
Keyword(s):  
Collision Avoidance ◽  
Traffic Control ◽  
Microstructural Characterization ◽  
Aircraft Engine ◽  
Foreign Object ◽  
Foreign Object Damage ◽  
External Objects ◽  
Large Particles ◽  
Collision Avoidance System

This paper presents the failure analysis of aircraft antenna which is a sub-assembly of Traffic Collision Avoidance System (TCAS) used with Air Traffic Control (ATC) transponder. The base of the damaged antenna (metallic part) is made from Al-based alloy. The micrographs exhibit the typical solidification microstructure consisting of Al-rich matrix along with Si- and Mg-Si-Fe- rich phases. The antenna is coated with the paint consisting of three layers. First and third layers display the presence of Ti and C while second layer consists of Si, Cr and C elements. The small amount of oxygen is also present in all the three layers. The cracks are appeared in the central region of the fin due to impact of external objects (appears to be blankings and particles). Three types of foreign object damage particles are observed on the damaged / hit area. The antenna appears to be damaged during gale as a result of hitting of the large particles lying in aircraft parking area and aircraft engine blankings.

Comprehensive Soft Impact Damage Methodology for Advanced High Bypass Ratio Turbofan Engines

2014 ◽  
Author(s):  
Yangkun Song ◽  
Javid Bayandor
Keyword(s):  
New York ◽  
Finite Element ◽  
Impact Damage ◽  
Hudson River ◽  
Aviation Industry ◽  
Foreign Object ◽  
Explicit Finite Element ◽  
Engine Failure ◽  
The Impact ◽  
Fluid Solid Interaction

Foreign object strikes are one of the major aviation incidents that cause tremendous risk to both the aircraft and passengers, the adverse implications of which can ripple through the aviation industry. The demand for air transportation has been on the rise, leading to foreign object ingestion into the engines becoming one of the most threatening scenarios. In January 2009, Flight 1549 took off from LaGuardia Airport in New York City and struck a flock of Canadian Geese during takeoff. Both engines ingested birds, resulting in mid-air catastrophic engine failure. Fortunately, none of the damaged engine components penetrated into the cabin and the aircraft successfully completed an emergency landing on the Hudson River without incurring any casualties. In this work, explicit finite element strategies have been adopted to model the Fluid-Solid Interactions (FSI) present in a bird ingestion scenario. Taking into account the fluidic composition of bird bodies, a proper methodology to model the Fluid-Solid Interaction was implemented. The investigations were aimed to understand the significance of impact force histograms in an accurately represented model, analyze shockwave propagations and reflections during the impact window, and perform parametric studies to highlight a superior representation for the Fluid-Solid Interaction (FSI). The paper presents a modern explicit finite element methodology adopted to accurately model bird ingestion into a complex turbomachinery forward section and analyze subsequent failure sequencing of the relevant structural components within the system.

Development of a unique deterioration index, prioritization methodology, and foreign object damage evaluation models for Canadian airfield pavement management

2004 ◽  
Vol 31 (4) ◽  
pp. 608-618 ◽  
Author(s):  
Anwar Shah ◽  
Susan Tighe ◽  
Allen Stewart
Keyword(s):  
Prediction Models ◽  
Pavement Management ◽  
Pavement Performance ◽  
Management Systems ◽  
Foreign Object ◽  
Foreign Object Damage ◽  
Condition Rating ◽  
Airport Pavement ◽  
Pavement Management Systems ◽  
Evaluation Models

Modelling of pavement performance deterioration is a critical engineering process in Pavement Management Systems. Most of the existing Airport Pavement Management Systems (APMS) employ limited surface distresses in their performance evaluation models. These systems may not serve the objectives of some agencies. It is essential for an effective APMS to include evaluation models that adequately address the specific needs of the agency. This paper presents the development of a unique pavement deterioration index, i.e., the Condition Rating Index, developed for 1 Canadian Air Division (1 CAD). This index is modelled to serve the specific needs of 1 CAD effectively. Performance prediction models for the various classes of pavements are developed based on Markov Chains. The prioritization methodology employed also reflects the needs of 1 CAD. Consequently, this paper investigates the quantification and prediction of Foreign Object Damage (FODp). The FODp Index is developed as well as defined. Prediction models for FODp are developed along with the establishment of critical states of the FODp Index.Key words: airport pavement management system, Condition Rating Index, pavement performance evaluation models, Foreign Object Damage, 1 Canadian Air Division.

Identification of Major FOD Contributors in Aviation Industry

2013 ◽  
pp. 237-250
Author(s):  
Hammad Ahmed Rafiq ◽  
Irfan Anjum Manarvi ◽  
Assad Iqbal
Keyword(s):  
Human Life ◽  
Indirect Costs ◽  
Aviation Safety ◽  
Financial Impact ◽  
Aviation Industry ◽  
Organizational Response ◽  
Foreign Object ◽  
Control Plan ◽  
Foreign Object Damage ◽  
And Control

Aviation safety is considered of paramount importance, and the Foreign Object Debris and the resulting Foreign Object Damage (FOD) is one of the major causes that put aviation safety at risk. FOD Prevention is thus a continual challenge for all aircraft operators and maintenance crew. It costs the aviation industry millions of dollars every year. This financial effect is a result of direct costs, such as harm to aircraft structures or damage of aircraft engines, as well as the indirect costs, which include flight schedule delays, cancellations, disruptions, and additional effort for the employees. In addition, on occasion, more critical than the financial impact, is the safety impact and potential loss of human life associated with occurrences caused by FOD. It is therefore ranked as the most likely potential ground-based cause that can lead to a catastrophic aviation event. The present chapter is based on statistical analysis of aircraft occurrences attributed to various types of FOD during the last ten years of operations in an aviation organization. Eight major cause factors contributing towards these cases have been identified. A broad FOD prevention and control plan is thus proposed to address the foremost cause factors and improve organizational response to FOD. The objective of the research is to promote ground and flight safety and the preservation of assets by reducing FOD.

scholarly journals Exploiting Data Analytics and Deep Learning Systems to Support Pavement Maintenance Decisions

2021 ◽  
Vol 11 (6) ◽  
pp. 2458
Author(s):  
Ronald Roberts ◽  
Laura Inzerillo ◽  
Gaetano Di Mino
Keyword(s):  
Deep Learning ◽  
Management Practices ◽  
Prediction Models ◽  
Road Networks ◽  
Pavement Management ◽  
Efficient Operation ◽  
Pavement Maintenance ◽  
Goods And Services ◽  
Maintenance Decisions ◽  
Computational Systems

Road networks are critical infrastructures within any region and it is imperative to maintain their conditions for safe and effective movement of goods and services. Road Management, therefore, plays a key role to ensure consistent efficient operation. However, significant resources are required to perform necessary maintenance activities to achieve and maintain high levels of service. Pavement maintenance can typically be very expensive and decisions are needed concerning planning and prioritizing interventions. Data are key towards enabling adequate maintenance planning but in many instances, there is limited available information especially in small or under-resourced urban road authorities. This study develops a roadmap to help these authorities by using flexible data analysis and deep learning computational systems to highlight important factors within road networks, which are used to construct models that can help predict future intervention timelines. A case study in Palermo, Italy was successfully developed to demonstrate how the techniques could be applied to perform appropriate feature selection and prediction models based on limited data sources. The workflow provides a pathway towards more effective pavement maintenance management practices using techniques that can be readily adapted based on different environments. This takes another step towards automating these practices within the pavement management system.

scholarly journals Application of Design of Experiments to Foreign Object Damage on 7075-T6

2021 ◽  
Vol 31 ◽  
pp. 22-27
Author(s):  
Emanuele Vincenzo Arcieri ◽  
Sergio Baragetti ◽  
Željko Božić
Keyword(s):  
Design Of Experiments ◽  
Foreign Object ◽  
Foreign Object Damage
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