The steel beam-concrete column(RCS)frame structure is composed of the reinforced concrete columns and the steel beams,which is a composite structure with the superior performances.This kind of the frame structure has ...The steel beam-concrete column(RCS)frame structure is composed of the reinforced concrete columns and the steel beams,which is a composite structure with the superior performances.This kind of the frame structure has been rapidly developed and widely used in the field of the civil engineering because of its high building applicability,the fast construction speed,the low cost of the foundation and the good mechanical properties.Various kinds of the large-span,heavy-load and high-rise buildings emerge in endlessly,and the requirement for the structural performance is becoming higher and higher.The reinforced concrete column-steel beam composite frame structure is a high-performance structural system with the broad development prospects in China because of its good mechanical performance,durability,fire resistance and the building use space.展开更多
Steel structures are widely used;however,their traditional design method is a trial-and-error procedure which is neither efficient nor cost effective.Therefore,a multi-population particle swarm optimization(MPPSO)algo...Steel structures are widely used;however,their traditional design method is a trial-and-error procedure which is neither efficient nor cost effective.Therefore,a multi-population particle swarm optimization(MPPSO)algorithm is developed to optimize the weight of steel frames according to standard design codes.Modifications are made to improve the algorithm performances including the constraint-based strategy,piecewise mean learning strategy and multi-population cooperative strategy.The proposed method is tested against the representative frame taken from American standards and against other steel frames matching Chinese design codes.The related parameter influences on optimization results are discussed.For the representative frame,MPPSO can achieve greater efficiency through reduction of the number of analyses by more than 65% and can obtain frame with the weight for at least 2.4%lighter.A similar trend can also be observed in cases subjected to Chinese design codes.In addition,a migration interval of 1 and the number of populations as 5 are recommended to obtain better MPPSO results.The purpose of the study is to propose a method with high efficiency and robustness that is not confined to structural scales and design codes.It aims to provide a reference for automatic structural optimization design problems even with dimensional complexity.The proposed method can be easily generalized to the optimization problem of other structural systems.展开更多
文摘The steel beam-concrete column(RCS)frame structure is composed of the reinforced concrete columns and the steel beams,which is a composite structure with the superior performances.This kind of the frame structure has been rapidly developed and widely used in the field of the civil engineering because of its high building applicability,the fast construction speed,the low cost of the foundation and the good mechanical properties.Various kinds of the large-span,heavy-load and high-rise buildings emerge in endlessly,and the requirement for the structural performance is becoming higher and higher.The reinforced concrete column-steel beam composite frame structure is a high-performance structural system with the broad development prospects in China because of its good mechanical performance,durability,fire resistance and the building use space.
基金supported by National Natural Science Foundation of China(Grant Nos.52308142 and 52208185)Postdoctoral Fellowship Program of CPSF(No.GZC20233334)+1 种基金Special Support of Chongqing Postdoctoral Science Foundation(No.2021XM2039)National Key Research and Development Program of China(No.2022YFC3801700).
文摘Steel structures are widely used;however,their traditional design method is a trial-and-error procedure which is neither efficient nor cost effective.Therefore,a multi-population particle swarm optimization(MPPSO)algorithm is developed to optimize the weight of steel frames according to standard design codes.Modifications are made to improve the algorithm performances including the constraint-based strategy,piecewise mean learning strategy and multi-population cooperative strategy.The proposed method is tested against the representative frame taken from American standards and against other steel frames matching Chinese design codes.The related parameter influences on optimization results are discussed.For the representative frame,MPPSO can achieve greater efficiency through reduction of the number of analyses by more than 65% and can obtain frame with the weight for at least 2.4%lighter.A similar trend can also be observed in cases subjected to Chinese design codes.In addition,a migration interval of 1 and the number of populations as 5 are recommended to obtain better MPPSO results.The purpose of the study is to propose a method with high efficiency and robustness that is not confined to structural scales and design codes.It aims to provide a reference for automatic structural optimization design problems even with dimensional complexity.The proposed method can be easily generalized to the optimization problem of other structural systems.
