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Seismic analysis and optimization of building structure based on embedded system

机译:基于嵌入式系统的建筑结构地震分析与优化

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摘要

The structure's dynamic model is an important factor for analyzing different environmental factors of construction activities. A simple non-linear model to learn the behavior of the building during an earthquake. Structure analysis is an important part of the evaluation and seismic design. When the earthquake law that has passed through the static analysis of the lateral load of the structure's weight began more than 100 years ago. Due to the nonlinear response of the dynamics and the structure, the advanced analytical procedure has been carried out over time. At least two data sets of the Differential Evolution (DE) and Particle Swarm Optimization (PSO) is in a non-linear dynamic model and the building based embedded system. It is estimated by using the parameter optimization algorithm of the building model. Model of performance and optimization algorithm performance: because there is no a lot of structural modeling expertise, this paper focuses on two aspects. The results, in these algorithms, algorithm Differential Evolution (DE) is, in most cases, it indicates that it is better than the corresponding. As in the model, the result is, it tells me that it is going well in the predicted scenario.
机译:该结构的动态模型是分析建筑活动不同环境因素的重要因素。一种简单的非线性模型,用于了解地震期间建筑物的行为。结构分析是评估和地震设计的重要组成部分。当通过对结构重量的横向载荷静态分析的地震法开始超过100年前。由于动态和结构的非线性响应,已经过度进行了先进的分析程序。差分演进(DE)和粒子群优化(PSO)的至少两个数据集是非线性动态模型和基于建筑的嵌入式系统。通过使用建筑模型的参数优化算法估计。性能和优化算法模型性能:因为没有大量的结构建模专业知识,本文重点关注两个方面。结果,在这些算法中,算法差分演进(DE)在大多数情况下,它表明它比相应的更好。如在模型中,结果是,它告诉我,在预测的场景中进展顺利。

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