A bi-level hierarchical method for shape and member sizing optimization of steel truss structures

Authors:
Forest Flager;Akshay Adya;John Haymaker;Martin Fischer
Affiliations:
Stanford University, CIFE, 473 Via Ortega, Room 275B, Stanford, CA 94305-4020, United States;Bentley Systems, 1600 Riviera Avenue Suite 300, Walnut Creek, CA 94596, United States;Schools of Architecture and Building Construction, Georgia Tech, 280 Ferst Dr., First Floor, Atlanta, GA 30332, United States;Stanford University, CIFE, 473 Via Ortega, Room 297, Stanford, CA 94305-4020, United States
Venue:
Computers and Structures
Year:
2014

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Abstract

This paper describes a new bi-level hierarchical method for optimizing the shape and member sizes of both determinate and indeterminate truss structures. The method utilizes a unique combination of algorithms that are organized hierarchically: the Fully Constrained Design (FCD) method for discrete sizing optimization is nested within SEQOPT, a gradient-based optimization method that operates on continuous shape variables. We benchmarked the method against several existing techniques using numerical examples and found that it compared favorably in terms of solution quality and computational efficiency. We also present a successful industry application of the method to demonstrate its practical benefits.