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ProteinChips were read in a PBSIIc mass spectrometer (Ciphergen) with mass deflection at 1 kDa and time-lag focusing.
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A methodology for using genetic algorithms with the finite element method to minimise a weighted sum of the mass and deflection of fibre reinforced structures with several design variables is described.
Table 1 lists the mass and deflection changes during injection of lipid or melittin solutions.
The injection sequence was complemented with two additional vesicle exposures (sections VI and VIII) and a final melittin dose (X) exhibiting the same qualitative mass and deflection changes.
A summary of the mass and deflection changes is given in Table 1 and more details are available in the supplemental Table S1.
By suitably formulating the minimization problem of the sprung mass acceleration, suspension deflection and tyre deflection, a static output feedback H∞ controller and a non-fragile static output feedback H∞ controller are obtained.
By suitably formulating the sprung mass acceleration, suspension deflection and tyre deflection as the optimization object and considering the actuator time delay, a delay-dependent memoryless state feedback H∞ controller is designed in terms of the feasibility of certain delay-dependent matrix inequalities.
Besides, modal separation analysis was carried out and the influence of mass ratio on deflection and natural frequencies was qualitatively and quantitatively assessed.
It was shown that for the same mass, the maximum deflection under a distributed load depends on both the web inclination angle and the laminate construction.
In order to reduce the motor wear caused by the dynamic force transmitted to the in-wheel motor, the dynamic force is taken as an additional controlled output besides the traditional optimization objectives such as sprung mass acceleration, suspension deflection and actuator saturation.
Its steep northern and southern slopes would allow the experiment to be sited close to its centre of mass, maximising the deflection effect.
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