Optimization of Reinforced Concrete Footings Used to Support Wind Loaded Structures

Author(s):  
M. R. Hannan ◽  
G. E. Johnson

Abstract The application of optimization to the design of structures where the ability to sustain a large wind load is considered. This investigation was an outgrowth of research intended to increase the capabilities of engineers who design such structures as highway signs and elevated steam lines. A second objective was to see if optimization techniques could successfully be applied to this class of problems. The objective was to minimize the mass of the footing needed to support the structure. A model of a reinforced concrete footing which supports the structure is given. This model includes constraints which assure that the structure won’t overturn and that stresses in the footing and soil don’t exceed the strength of the respective materials. Optimization software (a conjugate gradient method) uses this model to find a design which minimizes the mass of the footing. Results for various loadings and configurations are presented. Analysis of the results indicate that for lightly loaded structures the optimal footing design tends to be a piling (large depth relative to length) while for a relatively heavily loaded structure the optimal design is more of a plate (large length relative to depth). A copy of the Fortran source code used to model the system and the optimization algorithm is available from either author.

1993 ◽  
Vol 115 (4) ◽  
pp. 751-756
Author(s):  
M. R. Hannan ◽  
G. E. Johnson ◽  
C. Reif Hammond

A strategy to select the minimum volume reinforced concrete footing to support a wind loaded structure is outlined. Practical examples of such structures include highway signs and elevated steam lines. A mathematical design model for these systems is posed with constraints to assure that the structure will not overturn and that stresses in the footing and soil do not exceed the strength of the respective materials. Optimal solutions obtained by a conjugate gradient algorithm with parabolic exterior penalty functions are given and general guidelines for minimum volume footing design are summarized. The results indicate that, for lightly loaded structures, the optimal footing design tends to be a piling (large depth relative to length) while for a relatively heavily loaded structure the optimal design is more “plate like” (large length relative to depth).


2013 ◽  
Vol 785-786 ◽  
pp. 1258-1261
Author(s):  
In Pyo Cha ◽  
Hee Jae Shin ◽  
Neung Gu Lee ◽  
Lee Ku Kwac ◽  
Hong Gun Kim

Topology optimization and shape optimization of structural optimization techniques are applied to transport skate the lightweight. Skate properties by varying the design variables and minimize the maximum stress and strain in the normal operation, while reducing the volume of the objective function of optimal design and Skate the static strength of the constraints that should not degrade compared to the performance of the initial model. The skates were used in this study consists of the main frame, sub frame, roll, pin main frame only structural analysis and optimal design was performed using the finite element method. Simplified initial model set design area and it compared to SM45C, AA7075, CFRP, GFRP was using the topology optimization. Strength does not degrade compared to the initial model, decreased volume while minimizing the stress and strain results, the optimum design was achieved efficient lightweight.


2021 ◽  
Vol 9 (4B) ◽  
Author(s):  
Mehdi Babaei ◽  
◽  
Masoud Mollayi ◽  

Genetic algorithm (GA) and differential evolution (DE) are metaheuristic algorithms that have shown a favorable performance in the optimization of complex problems. In recent years, only GA has been widely used for single-objective optimal design of reinforced concrete (RC) structures; however, it has been applied for multiobjective optimization of steel structures. In this article, the total structural cost and the roof displacement are considered as objective functions for the optimal design of the RC frames. Using the weighted sum method (WSM) approach, the two-objective optimization problem is converted to a single-objective optimization problem. The size of the beams and columns are considered as design variables, and the design requirements of the ACI-318 are employed as constraints. Five numerical models are studied to test the efficiency of the GA and DE algorithms. Pareto front curves are obtained for the building models using both algorithms. The detailed results show the accuracy and convergence speed of the algorithms.


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