Yayınlar
- Kitap BölümüYalnız künye2017Analysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)
Toklu, Y.C.; Toklu, N.E.
Use of meta-heuristic algorithms in analysis of structures is much more recent than their use in design of structures. Effectively, while design optimization makes use of genetic algorithms, simulated annealing, swarm optimization, etc. since about half a century with an increasing interest, these techniques are being used in structural analysis since a decade only. Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA), though being an emerging method at the moment, has proved to be very efficient in solving nonlinear problems, involving both material and geometric nonlinearities. The capabilities of the method in treating under-constrained problems and problems with non-unique solutions are much more advanced than the classical methods including the well-known Finite Element Method.
- BildiriYalnız künye2013Nonlinear analysis of structures by Total Potential Optimization using Metaheuristic Algorithms (TPO/MA)
Toklu, Y.C.; Bekdaş, G.; Temür, R.; Toklu, Ş.Ç.; Uzun, F.; de Wilde, P.; Suter, G.; Rafiq, Y.
Structural analysis problems can be formulized as either root finding problems, or optimization problems. The general practice is to choose the first option directly or to convert the second option again to a root finding problem by taking relevant derivatives and equating them to zero. The second alternative is used very randomly as it is and that only for some simple demonstrative problems, most probably due to difficulty in solving optimization problems by classical methods. The method called Total Potential Optimization using Metaheuristic Algorithms (TPO/MA) described in this study successfully enables handling structural problems with optimization formulation. Using metaheuristic algorithms provides additional advantages in dealing with all kinds of constraints.
AtıfScopus1İncele
- BildiriYalnız künye2013Space applications of tensegric structures
Toklu, Y.C.; Temur, R.; Bekdas, G.; Uzun, F.
Tensile integrity (tensegrity, tensegric) structures are suggested for possible use in outer space and on space bodies because of their minimal need for structural materials, ease of transfer and mounting. Structurally their behavior is non-linear. It has been shown here that their structural analysis can successfully be performed by total potential optimization using meta-heuristic algorithms (TPO/MA). The named method is an emerging technique that combines minimum energy principle of mechanics with metaheuristic algorithms. The technique thus defined has been shown to be very efficient, accurate and robust in analyzing structures. The success of the technique is especially profound for non-linear structures. In this study the named technique is applied to tensile integrity (tensegrity, tensegric) structures which are known to be highly nonlinear, thus difficult to analyze.
AtıfScopus10İncele
- Kitap BölümüYalnız künye2013Analysis of structures by total potential optimization using meta-heuristic algorithms (TPO/MA)
Toklu, Y.C.; Toklu, N.E.
Use of meta-heuristic algorithms in analysis of structures is much more recent thantheir use in design of structures. Effectively, while design optimization makes use ofgenetic algorithms, simulated annealing, swarm optimization, etc. since about half acentury with an increasing interest, these techniques are being used in structural analysissince a decade only.Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA), thoughbeing an emerging method at the moment, has proved to be very efficient in solvingnonlinear problems, involving both material and geometric nonlinearities. Thecapabilities of the method in treating under-constrained problems and problems with nonuniquesolutions are much more advanced than the classical methods including the wellknownFinite Element Method.
AtıfScopus6İncele
