Innovative Computer Technologies for Integrated Design of Steel Structures

本研究的目的是利用几种新兴的计算机技术开发钢结构综合设计的计算机模型。它们包括面向对象编程（OOP）、遗传算法、神经网络计算和并发处理。研究包括开发a)使用面向对象范式的钢结构集成设计黑板架构；b)使用增强实体关系模型的面向对象数据库管理系统，用于管理钢结构集成设计中遇到的大量输入、中间和输出数据。c)基于并行版本图的面向对象版本管理模型，d)用于钢结构详细设计的增广拉格朗日遗传算法，e)用于多层前馈神经网络训练的自适应共轭梯度集成设计机器学习算法，f)将遗传算法与误差反向传播多层神经网络相结合的混合学习算法；g)利用共享存储机（Cray YMP 8/864）和分布式多计算机（transpters）的多处理能力对高层建筑等大型钢结构进行集成/优化设计的并行算法；h)混合神经网络/遗传算法的并发算法。

The objective of this research is to develop computer models for integrated design of steel structures using several emerging computer technologies. They include object-oriented programming (OOP), genetic algorithms, neural network computing, and concurrent processing. The research includes development of a) a blackboard architecture for integrated design of steel structures using the OOP paradigm, b) an object-oriented database management system using an enhanced entity relationship model for managing a multitude of input, intermediate, and output data encountered in integrated design of steel structures, c) an object-oriented version management model based on the parallel version graph, d) an augmented Lagrangian genetic algorithm for detailed design of steel structures, e) an adaptive conjugate gradient integrated design machine learning algorithm for training of multilayer feedforward neural networks, f) a hybrid learning algorithm by integrating genetic algorithm with error backpropagation multilayer neural networks, g) concurrent algorithms for integrated/optimum design of large steel structures such as highrise buildings using the multiprocessing capabilities of shared memory machines (Cray YMP 8/864) and distributed multicomputers (transputers), and h) concurrent algorithms for the hybrid neural networks/genetic algorithm.