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In this study, a framework of a dynamic reliability based design optimization for tripod sub-structures was proposed.
In the procedure of reliability based design optimization for structural systems with truncated random variables, repeated function evaluations are required for different design points where the computational costs are extremely huge.
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In the present study an enhanced variant of the big bang-big crunch (BB-BC) technique, namely exponential BB-BC algorithm (EBB-BC) is developed for code based design optimization of steel frame structures.
Further, a comparison of the optimum solutions with those of other well-known metaheuristics reveals that the EBB-BC algorithm can efficiently be used as a novel tool for code based design optimization of steel frames.
This work presents a systematic and practical finite element based design optimization approach for the injection tooling adaptive to additive manufacturing (AM) technology using stereo-lithography (SLA) and powder bed fusion (PBF).
Sensitivity based design optimization is carried out for symmetric cross ply arrangement based on Pf, significantly influenced by the random parameters.
The proposed DOE and RSM based design optimization technique can be implemented for the design space exploration and optimization of complex MEMS devices which involve coupled multiphysics interactions.
Response surface method is often employed in simulation based design and optimization for complex products.
In the present manuscript, the authors utilize a performance based design approach for seismic design optimization of steel moment resisting frames, where material weight, mean value of seismic demand and variation of seismic demand are treated as three design objectives representing the cost, safety and robustness measures, respectively.
This paper presents a topology optimization based design method for the design of unilateral nuclear magnetic resonance (NMR), with which a remote homogeneous field can be obtained.
This paper introduces initial steps in exposing the community to this new technology, and explores an optimization based design strategy for its feasible application.
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