E-Books →Artificial Neural Network–based Designs of Prestressed Concrete and Composite Structures

techniques for a structural design of prestressed concrete structures
based on Eurocode 2, and composite structures based on American
Institute of Steel Construction and American Concrete Institute standards.
The book provides robust design charts for prestressed concrete structures,
which are challenging to achieve using conventional design methods.
Using ANN-based design charts, the holistic design of a post-tensioned
beam is performed to optimize design targets (objective functions), while
calculating 21 forward outputs, in arbitrary sequences, from 21 forward
inputs.
* Applies the powerful tools of ANN to the optimization of prestressed
concrete structures and composite structures including columns and
beams
* Multi-objective optimizations (MOO) of prestressed concrete beams
are performed using an ANN-based Lagrange algorithm
* Offers a Pareto frontier using an ANN-based MOO for composite
beams and composite columns sustaining multi-biaxial loads
* Heavily illustrated in color and with diverse practical design examples
in line with EC2, ACI, and ASTM codes
The book offers optimal solutions for structural designers and researchers,
enabling readers to construct design charts to minimize their own design
targets under various design requirements based on any design code.