Data-Enabled Design and Optimization (DEDOpt): Tall steel building frameworks

• Ever-growing computer resources have opened the door to Data-Enabled Design.
• Frameworks are proposed for the Data-Enabled analysis of tall buildings.
• The efficiency of spectral POD in defining reduced order frameworks is shown.
• A novel Data-Enabled large-scale optimization scheme is proposed for tall buildings.
• The efficiency of the proposed schemes is shown on a representative case study.

Recent increases in computational resources and speed have opened the door to the possibility of integrating informational databases into the design process of civil structures. The aim of this paper is twofold. Firstly, efficient time/frequency domain procedures for the estimation of local and global load effects are presented with focus on the use of proper orthogonal decomposition of the spectral and covariance matrices. Secondly, a procedure is presented that fully automates the design procedure through the rigorous discrete member size optimization of the structural system subject to multiple performance constraints on both the local and global load effects.