AI SearchApplication of artificial neural networks in preliminary design of 2-D steel frames
Rattapoohm Parichatprecha
Application of artificial neural networks in preliminary design of 2-D steel frames - Bangkok : Asian Institute of Technology, 1999 - 63 leaves : ill. - Thesis ; no. ST-99-19 . - Asian Institute of Technology. Thesis ; no. ST-99-19 .
A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Civil Engineering
Thesis (M.Eng.) - Asian Institute of Technology, 1999
This study deals with the application of artificial neural networks in the preliminary design of 2-D steel frames. The preliminary design model is very importance in the synthesis of a finally acceptable solution in design problems. The preliminary process is extremely difficult to computerize because it requires engineering experiences and human intuition. Development of a network for preliminary design process has been reported. The simple characteristics of structural members (Moment, Shear force, Axial force, Length of each member, and type of member) were selected as the input data to the neural network to generate the sufficient areas of each member. Various considerations and the steps in the development of the neural network for preliminary design are illustrated with an example of optimal design of 2-D steel frames.
Neural networks (Computer science)
Steel framing (Building)
Application of artificial neural networks in preliminary design of 2-D steel frames - Bangkok : Asian Institute of Technology, 1999 - 63 leaves : ill. - Thesis ; no. ST-99-19 . - Asian Institute of Technology. Thesis ; no. ST-99-19 .
A thesis submitted in partial fulfillment of the requirement for the degree of Master of Engineering, School of Civil Engineering
Thesis (M.Eng.) - Asian Institute of Technology, 1999
This study deals with the application of artificial neural networks in the preliminary design of 2-D steel frames. The preliminary design model is very importance in the synthesis of a finally acceptable solution in design problems. The preliminary process is extremely difficult to computerize because it requires engineering experiences and human intuition. Development of a network for preliminary design process has been reported. The simple characteristics of structural members (Moment, Shear force, Axial force, Length of each member, and type of member) were selected as the input data to the neural network to generate the sufficient areas of each member. Various considerations and the steps in the development of the neural network for preliminary design are illustrated with an example of optimal design of 2-D steel frames.
Neural networks (Computer science)
Steel framing (Building)