| Summary: | This study set out to develop an aircraft design methodology, which gives com-
bat aircraft more operational and cost-effectiveness by considering these factors early in
the design process. In this methodology, an aircraft will be considered as a sub-system
of an overall system, representing an entire operation scenario. Measures of operational
and operational cost-effectiveness indicate the quality of, and relationships between, the
major design aspects; i. e. susceptibility, vulnerability, reliability, maintainability, and
operational cost. These measures are functions of aircraft measures of performance and
measures of effectiveness. A mission operation simulation was developed as the transfor-
mation tool, to performance and effectiveness measures.
The measures of aircraft performance developed in this methodology have been evalu-
ated by simple, yet sufficient, models because of the paucity of available data, information
and the appropriateness of such assessment methods during the early design stages. An
aircraft performance in susceptibility terms is measured both in the forms of probability
of detection, which is predicted through its radar cross section (RCS), and probability of
hit. The RCS prediction model in this study generally uses an aircraft's external shape,
and the probability of hit is also evaluated from the aircraft presented areas.
The probability of kill is a measure of aircraft performance used the vulnerability
design methods. This value relates directly to number and sizes of the critical components
installed in the aircraft, and their layout. The modification of the critical component
layout can directly affect the aircraft probability of kill. In this study, only two major
threat types are considered; i. e. contact and proximity warheads.
Manoeuvrability probability has been introduced, and been used together with the sus-
ceptibility and vulnerability probabilities to predict the overall operational survivability
probability in this study.
Aircraft reliability and some maintainability probabilities are predicted by using avail-
able unclassified data and fundamental aircraft design parameters and variables by dint
of statistical analysis and the Pareto principle.
Operational cost in this methodology is calculated throughout the aircraft Life Cycle
Cost (LCC) by averaging the total operation cost over the total number of operational
aircraft in one base and total number of flying hours for an aircraft fleet's entire life. The
average operation cost in conjunction with the number of aircraft lost and of weapons
released during the mission simulation gives the total operational cost for the overall
scenario.
An alternative method used to integrate all probabilities into the operation mission
simulation is by using the reliability block diagram technique in conjunction with an
event tree diagram. The Monte Carlo simulation technique has been used to generate
more accurate results by means of random value usage.
Most results from the operation mission simulation are in the form of integer num-
bers; therefore, the genetic algorithm optimisation method was mainly used in this study.
However, the gradient-based optimisation method can also be used to give approximate
predictions. The results from the optimisation can finally be used as examples of how to
design a combat aircraft for operational and cost-effectiveness.
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