Innovative Computer Technologies for Integrated Design of Steel Structures

这项研究的目的是开发计算机模型， 钢结构的综合设计 计算机技术。 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. 该研究包括a）黑板的开发 钢结构综合设计的建筑 面向对象范式，B）面向对象的数据库管理系统 使用增强的实体关系模型来管理 大量的输入、中间和输出数据， 钢结构一体化设计，c）面向对象的 基于并行版本图的版本管理模型; 基于增广拉格朗日遗传算法的详细设计 钢结构，e）自适应共轭梯度积分 设计机器学习算法训练多层 前馈神经网络，f）混合学习算法， 遗传算法与误差反向传播多层集成 神经网络，g）集成/优化的并发算法 设计大型钢结构，如高层建筑， 共享内存机器（Cray）的多处理能力 YMP 8/864）和分布式多计算机（晶片机），以及h） 混合神经网络/遗传算法的并行算法 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.