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AI-Based Optimized Design of Structural Frames : With Application to Practical Building Designs - Won-Kee  Hong

AI-Based Optimized Design of Structural Frames

With Application to Practical Building Designs

By: Won-Kee Hong

Paperback | 22 June 2026 | Edition Number 1

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Paperback


RRP $126.00

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Available: 22nd June 2026

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This book introduces an autoâ'designâ'based optimization for building frames using an artificial neural network (ANN)â'based Lagrange method and novel genetic algorithm (GA). The work of great mathematician Josephâ'Louis Lagrange and ANNs are merged to identify parameters that optimize structural frames of reinforced concrete, prestressed concrete, and steel frames subject to one or more design constraints. New features for enhancing conventional GA are also demonstrated to optimize structural frames.

New features for optimizing multiple design targets of the building frames are highlighted, while design requirements imposed by codes are automatically satisfied. Chapters provide readers with an understanding of how both ANNâ'based and novel GAâ'based structural optimization can be implemented in holistically optimizing designated design targets for building structural frames, guiding readers toward more rational designs that is consistent with American Institute of Steel Construction (AISC) and American Concrete Institute (ACI) standards. ANNâ'based holistic designs of multiâ'story frames in general and reinforced concrete, prestressed concrete, and steel frames in particular, are introduced.

This book suits structural engineers, architects, and graduate students in the field of building frame designs and is heavily illustrated with color figures and tables.

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