A method using symbolic computation is proposed to determine the boundary conditions in two-dimensional inverse heat conduction problems, The method uses symbols to represent the unknown boundaries and then executes t...
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A method using symbolic computation is proposed to determine the boundary conditions in two-dimensional inverse heat conduction problems, The method uses symbols to represent the unknown boundaries and then executes the finite difference method to calculate the temperature field, The calculated results are expressed explicitly as functions of the undetermined boundaries, Then, a direct comparison between the output symbolic temperature and the measurement temperature are made to construct a set of Linear equations, Thus, the linear least-squares method is adopted to solve the linear equations, Finally, the unknown boundary conditions are determined, Results from the examples confirm that the proposed method is applicable in solving the multidimensional inverse heat conduction problems, In the example problems, three kinds of measuring methods are adopted to estimate the surface temperature, The result shows that only three measuring points are needed to estimate the surface temperature when measurement errors are neglected, When measurement errors are considered, seven measuring points are required to increase the congruence of the estimated results to the exact solutions.
作者:
Patnaik, SNLavelle, TMHopkins, DANASA
LEWIS RES CTRAEROPROP ANAL OFFCLEVELANDOH 44135 NASA
LEWIS RES CTRSTRUCT & ACOUST BRANCHCLEVELANDOH 44135 NASA
LEWIS RES CTRCOMPUTAT SCI BRANCHCLEVELANDOH 44135
Flight optimization system (FLOPS) and the NASA engine performance program analyzer (NEPP) used in the design optimization for aircraft and air-breathing propulsion engine concepts. The FLOPS code was incorporated int...
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Flight optimization system (FLOPS) and the NASA engine performance program analyzer (NEPP) used in the design optimization for aircraft and air-breathing propulsion engine concepts. The FLOPS code was incorporated into the code COMETBOARDS which successfully solved both subsonic and supersonic aircraft problems. Also, NEPP and COMETBOARDS in combination successfully optimized a number of subsonic and supersonic engine design. Aircrafts and engines includes cascade optimizing strategy, constraint and design formulations, and global scaling strategy as the key features and unique strengths of COMETBOARDS.
A computational design tool was developed to perform a constrained optimization of the acoustic environment within a vibrating cylinder, incorporating finite element and boundary element methods, This paper presents a...
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A computational design tool was developed to perform a constrained optimization of the acoustic environment within a vibrating cylinder, incorporating finite element and boundary element methods, This paper presents a comparison of the relative performance and results obtained through the use of four different objective function and constraint formulations within the optimization tool: 1) minimize the sum of the squared acoustic pressures at a number of points within the cylinder, 2) minimize the weight of the structure with a constraint on the sum of the acoustic pressures, 3) minimize the sum Of the acoustic pressures with a constraint on weight, and 4) minimize weight and summed pressures simultaneously, All four formulations were subject to upper and lower bounds on the design variables, the structural shell element thicknesses. All analyses were performed at a single excitation frequency. These formulations were implemented within the design tool and compared based on their overall pressure and weight reduction and computational efficiency. Two different cylinder models were used to evaluate the optimization formulations, It was found that the third formulation was the most stable and effective, In addition, a nearly Linear relationship was observed between the relative optimal decibel noise level within the cylinder and the optimal cylinder weight.
The second mission of the small expendable deployment system (SEDS-II) followed the successful mission of SEDS-I, which deployed freely a small instrumented probe on a 20-km tether. Unlike SEDS-I, the deployment of SE...
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The second mission of the small expendable deployment system (SEDS-II) followed the successful mission of SEDS-I, which deployed freely a small instrumented probe on a 20-km tether. Unlike SEDS-I, the deployment of SEDS-II was controlled to provide a small libration amplitude and tether velocity at the end of deployment, The preflight goal for SEDS-II was a maximum libration of less than 10 deg and a final velocity of less than 1 m/s. The control problem was made difficult by the limited capabilities of the SEDS sensors and onboard computer and the large uncertainties inherent in the response of the actuator (brake) and the plant (deployer). The nonlinear, nonautonomous control problem is divided in two parts by using a numerically formulated feedback linearization, i.e., by devising 1) a nonlinear control (reference) trajectory and 2) a linear control about the reference trajectory. An ad hoc feedback law that forces the perturbed system to follow the reference trajectory is derived by using a linearized variational model. The controller is then tested, through computer simulations, for large deviations of the model parameters on the nonlinear model. The relevant flight data are also presented and compared to the reference values to demonstrate the validity and robustness of the control law, which provided a maximum libration amplitude of less than 4 deg and a final tether velocity of less than 0.02 m/s.
A technique is presented for the determination of the equilibrium points of the aircraft equations of motion. In particular, the goal is to develop a method for the evaluation of the starting points for the continuati...
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A technique is presented for the determination of the equilibrium points of the aircraft equations of motion. In particular, the goal is to develop a method for the evaluation of the starting points for the continuation algorithms that are used in bifurcation analyses of the nonlinear dynamics of high-performance aircraft to trace the steady states of the system as certain parameters, called continuation parameters, are varied. As a limitation, the method developed only applies to aircraft models where the aerodynamic coefficients depend linearly on the angular velocity components. (AIAA)
Integral equations, including the lifting surface integral equation, are numerically solved using modifications to the constant-vorticity panel method of Tuck.
Integral equations, including the lifting surface integral equation, are numerically solved using modifications to the constant-vorticity panel method of Tuck.
Within the context of optimization of the structural dynamics properties of finite element models, methodology is developed for the tracking of eigenpairs through changes in the structural eigenvalue problem. The goal...
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Within the context of optimization of the structural dynamics properties of finite element models, methodology is developed for the tracking of eigenpairs through changes in the structural eigenvalue problem. The goal is to eliminate difficulties caused by ''mode switching'' (i.e., frequency crossing), Out of several candidate methods, two methods for mode tracking are successful. The first method, the higher order eigenpair perturbation algorithm, is based on a perturbation expansion of the eigenproblem. It iteratively computes changes in the eigenpairs due to parameter perturbations with the important feature of maintaining the correspondence between the baseline and perturbed eigenpairs. The second method is a cross-orthogonality check method, which uses mass orthogonality to reestablish correspondence after a standard reanalysis. Modified eigenpair extraction routines (Lanezos, subspace iteration, inverse power) were unsuccessful in tracking modes. Applications of mode tracking technology that are presented are frequency-constrained optimization and optimization with mode shape constraints. Each application procedure is outlined and examples are given. Recommendations are made based on method efficiency and robustness in the example problems.
The paper addresses the optimal control for the atmospheric flight phase of a spacecraft. From an analysis of the vehicle's controllability, it is shown that the acceptable domain of initialization for the adjoint...
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The paper addresses the optimal control for the atmospheric flight phase of a spacecraft. From an analysis of the vehicle's controllability, it is shown that the acceptable domain of initialization for the adjoint vector ensuring the convergence of the solution increases when the flight is considered in the lower altitude, i.e., when the controllability increases. The optimal control should be applied to determine the reference trajectory only in the lower layers of the atmosphere. (AIAA)
Presented is the optimization of the placement of damped structural elements in a two-dimensional truss network. This work presents a modification of a heuristic optimization technique called simulated annealing, to i...
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Presented is the optimization of the placement of damped structural elements in a two-dimensional truss network. This work presents a modification of a heuristic optimization technique called simulated annealing, to improve the speed of convergence. Rather than setting the annealing temperature schedule a priori, it is modified according to the change in cost functional. For a single mode of vibration, a comparison is made between the simulated-annealing results and the true optimal locations, as determined by the modal strain locations. As expected, simulated annealing returns a near-optimal solution from a variety of initial configurations. Modal weighting factors are utilized to examine multiple modes, and again the modal strain locations are used for comparison.
The features of genetic algorithm and their major advantages with respect to other analytical, heuristic, or stochastic optimization methods are pointed out. The algorithm is applied to solve a problem and has been pr...
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The features of genetic algorithm and their major advantages with respect to other analytical, heuristic, or stochastic optimization methods are pointed out. The algorithm is applied to solve a problem and has been proved to fulfill its properties: the optimal placement of sensors in pretest analysis. A proper objective function is defined to include both the requests of observability of the reduced system and of geometrical reconstruction of the measured mode shapes. The results, although obtained from simple examples, confirm all of the premises and are in accordance with physical experience.
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