Abstract
In this interdisciplinary study, we present a framework for applying computational intelligence techniques to address structural engineering design problems that are ill-structured and do not have well-established and tested theoretical models. The framework is presented as a design artifact that is validated through a case study in structural engineering using a large set of experimental data on shear failure of reinforced concrete beams.
Recommended Citation
Kamat, Anuja and Deokar, Amit V., "Computational Intelligence for Engineering Design Applications: A Case Study in Structural Engineering" (2019). AMCIS 2019 Proceedings. 9.
https://aisel.aisnet.org/amcis2019/ai_semantic_for_intelligent_info_systems/ai_semantic_for_intelligent_info_systems/9
Computational Intelligence for Engineering Design Applications: A Case Study in Structural Engineering
In this interdisciplinary study, we present a framework for applying computational intelligence techniques to address structural engineering design problems that are ill-structured and do not have well-established and tested theoretical models. The framework is presented as a design artifact that is validated through a case study in structural engineering using a large set of experimental data on shear failure of reinforced concrete beams.