The thickness of the facing, the thickness of the core layer, the orientation angle of the fibers in the facings and the shear modulus of the core material are taken as design variables.
Optimisation is conducted through maximisation of modal loss factors, using as design variables the viscoelastic core thickness, the constraining elastic layers ply thicknesses and orientation angles, as well as the position of co-located sensor and actuator pairs.
Both the single objective and multiobjective optimizations are performed for columns under axial crushing load with design variables inner, outer and core thickness.
A multi-variable optimization method is proposed to determine optimum wind comfort and the corresponding lift-up design variables, namely, lift-up height (HL), core aspect ratio (AR) and core number (N).
The developed pressure was found to be a function of design variables, including the geometrical variables of pump core length, inner core diameter and flow gap, and the electromagnetic ones of turns of coils, frequency and input current.
The core design and unique features are detailed: the novel blade/rotating disc interaction; the variable port design giving variable mass flow rate at a constant shaft speed; and an explanation of the design priorities and solutions.
For simultaneous optimization designs of both stacking sequences of the face sheets and the core thickness, the design problem for composite sandwich structures becomes a combinatorial one by involving both discrete and continuous design variables, for orientation angles of the face-sheet laminate plies are constrained to discrete permissible designs while the core thickness is continuous.
Two objective functions (reactor core volume and maximum process temperature rise, ΔTmax) were to be minimized using seven design variables as optimization variables.
The design variables include the volume fractions of the nanofibers and continuous fibers along with the thicknesses of the core and facesheet plies.
