Reducing Uncertainty in Aeroelastic Flutter Boundaries Using Experimental Data

Flutter prediction as currently practiced is usually deterministic, with a single structural model used to represent an aircraft. By using interval analysis to take into account structural variability, recent work has demonstrated that small changes in the structure can lead to very large changes in the altitude at which
utter occurs (Marques, Badcock, et al., J. Aircraft, 2010). In this follow-up work we examine the same phenomenon using probabilistic collocation (PC), an uncertainty quantification technique which can eficiently propagate multivariate stochastic input through a simulation code,
in this case an eigenvalue-based fluid-structure stability code. The resulting analysis predicts the consequences of an uncertain structure on incidence of
utter in probabilistic terms { information that could be useful in planning
flight-tests and assessing the risk of structural failure. The uncertainty in
utter altitude is confirmed to be substantial. Assuming that the structural uncertainty represents a epistemic uncertainty regarding the
structure, it may be reduced with the availability of additional information { for example aeroelastic response data from a flight-test. Such data is used to update the structural uncertainty using Bayes' theorem. The consequent
utter uncertainty is significantly reduced across the entire Mach number range.

Transonic Aeroelastic Stability Predictions Under the Influence of Structural Variability

Flutter prediction as currently practiced is almost always deterministic in nature, based on a single structural model that is assumed to represent a fleet of aircraft. However, it is also recognized that there can be significant structural variability, even for different flights of the same aircraft. The safety factor used for flutter clearance is in part meant to account for this variability. Simulation tools can, however, represent the consequences of structural variability in the flutter predictions, providing extra information that could be useful in planning physical tests and assessing risk. The main problem arising for this type of calculation when using high-fidelity tools based on computational fluid dynamics is the computational cost. The current paper uses an eigenvalue-based stability method together with Euler-level aerodynamics and different methods for propagating structural variability to stability predictions. The propagation methods are Monte Carlo, perturbation, and interval analysis. The feasibility of this type of analysis is demonstrated. Results are presented for the Goland wing and a generic fighter configuration.

Transonic aeroelastic simulation for instability searches and uncertainty analysis

In this paper the use of eigenvalue stability analysis of very large dimension aeroelastic numerical models arising from the exploitation of computational fluid dynamics is reviewed. A formulation based on a block reduction of the system Jacobian proves powerful to allow various numerical algorithms to be exploited, including frequency domain solvers, reconstruction of a term describing the fluid–structure interaction from the sparse data which incurs the main computational cost, and sampling to place the expensive samples where they are most needed. The stability formulation also allows non-deterministic analysis to be carried out very efficiently through the use of an approximate Newton solver. Finally, the system eigenvectors are exploited to produce nonlinear and parameterised reduced order models for computing limit cycle responses. The performance of the methods is illustrated with results from a number of academic and large dimension aircraft test cases.

How Structural Model Variability Influences Transonic Aeroelastic Stability

This paper considers the ways in which structural model parameter variability can influence aeroelastic stability. Previous work on formulating the stability calculation (with the Euler equations providing the aerodynamic predictions) is exploited to use Monte Carlo, interval, and perturbation calculations to allow this question to be investigated. Three routes are identified. The first involves variable normal-mode frequencies only. The second involves normal-mode frequencies and shapes. Finally, the third, in addition to normal-mode frequencies and shapes, also includes their influence on the static equilibrium. Previous work has suggested only considering the first route, which allows significant gains in computational efficiency if reduced-order models can be built for the aerodynamics. However, results in the current paper show that neglecting the mode-shape variation can give misleading results for the flutter-onset prediction, complicating the development of reduced aerodynamic models for variability analysis.

Match-fixing and Money-laundering

his essay is premised on the following: a conspiracy to fix or otherwise manipulate the outcome of a sporting event for profitable purpose. That conspiracy is in turn predicated on the conspirators’ capacity to: (a) ensure that the fix takes place as pre-determined; (b) manipulate the betting markets that surround the sporting event in question; and (c) collect their winnings undetected by either the betting industry’s security systems or the attention of any national regulatory body or law enforcement agency.

Unlike many essays on this topic, this contribution does not focus on the “fix”– part (a) of the above equation. It does not seek to explain how or why a participant or sports official might facilitate a betting scam through either on-field behaviour that manipulates the outcome of a game or by presenting others with privileged inside information in advance of a game. Neither does this contribution seek to give any real insight into the second part of the above equation: how such conspirators manipulate a sports betting market by playing or laying the handicap or in-play or other offered betting odds. In fact, this contribution is not really about the mechanics of sports betting or match fixing at all; rather it is about the sometimes under explained reason why match fixing has reportedly become increasingly attractive as of late to international crime syndicates. That reason relates to the fact that given the traditional liquidity of gambling markets, sports betting can, and has long been, an attractively accessible conduit for criminal syndicates to launder the proceeds of crime. Accordingly, the term “winnings”, noted in part (c) of the above equation, takes on an altogether more nefarious meaning.

This essay’s attempt to review the possible links between match fixing in sport, gambling-related “winnings” and money laundering is presented in four parts.

First, some context will be given to what is meant by money laundering, how it is currently policed internationally and, most importantly, how the growth of online gambling presents a unique set of vulnerabilities and opportunities to launder the proceeds of crime. The globalisation of organised crime, sports betting and transnational financial services now means that money laundering opportunities have moved well beyond a flutter on the horses at your local racetrack or at the roulette table of your nearest casino. The growth of online gambling platforms means that at a click it is possible for the proceeds of crime in one jurisdiction to be placed on a betting market in another jurisdiction with the winnings drawn down and laundered in a third jurisdiction and thus the internationalisation of gambling-related money laundering threatens the integrity of sport globally.

Second, and referring back to the infamous hearings of the US Senate Special Committee to Investigate Organised Crime in Interstate Commerce of the early 1950s, (“the Kefauver Committee”), this article will begin by illustrating the long standing interest of organised crime gangs – in this instance, various Mafia families in the United States – in money laundering via sports gambling-related means.

Third, and using the seminal 2009 report “Money Laundering through the Football Sector” by the Financial Action Task Force (FATF, an inter-governmental body established in 1989 to promote effective implementation of legal, regulatory and operational measures for combating money laundering, terrorist financing and other related threats to the integrity of the international financial system), this essay seeks to assess the vulnerabilities of international sport to match fixing, as motivated in part by the associated secondary criminality of tax evasion and transnational economic crime.

The fourth and concluding parts of the essay spin from problems to possible solutions. The underlying premise here is that heretofore there has been an insularity to the way that sports organisations have both conceptualised and sought to address the match fixing threat e.g., if we (in sport) initiate player education programmes; establish integrity units; enforce codes of conduct and sanctions strictly; then our integrity or brand should be protected. This essay argues that, although these initiatives are important, the source and process of match fixing is beyond sport’s current capacity, as are the possible solutions.