Structural Optimization and Damage Detection Based on Neural Networks

Author: Jiang Shaofei
Publisher:
Publish Date: 2002-06-01
Features: This book is available for reference for a broad range of scientific and technical workers in civil construction, mechanical engineering, and automation control, as well as faculty, students, and postgraduates from relevant disciplines in higher education institutions. The book primarily discusses the fundamental principles, implementation strategies, and engineering applications of neural network-based structural optimization design and structural damage detection. The book is divided into six chapters, covering the following topics: an overview of the application of neural networks in civil engineering, the basic principles of neural networks and typical network models, methods for solving civil engineering problems using neural networks and data processing techniques, neural network-based structural analysis and preliminary design, structural optimization design, and the theory and methods of structural damage detection along with their practical engineering applications.