人工神经网络在结构混凝土领域的应用

Juan L. Pérez, I. Martínez, M. Herrador
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引用次数: 1

摘要

人工智能(AI)机制越来越频繁地应用于各种土木工程问题。新的方法和算法允许土木工程师以不同的方式在不同的问题上使用这些技术是可用的或正在提供。其中一项人工智能技术脱颖而出:人工神经网络(ANN)。他们最显著的特点是他们的学习能力、泛化的可能性和对错误的容忍度。这些特性使其在任何领域,特别是结构工程领域都具有可行性和成本效益。目前应用最广泛的建筑材料是混凝土,这主要是因为它在制造过程中具有很高的阻力和对模板的适应性。在本章中,我们将发现人工神经网络在结构混凝土中的不同应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ANN Application in the Field of Structural Concrete
Artificial Intelligence (AI) mechanisms are more and more frequently applied to all sorts of civil engineering problems. New methods and algorithms which allow civil engineers to use these techniques in a different way on diverse problems are available or being made available. One AI techniques stands out over the rest: Artificial Neural Networks (ANN). Their most remarkable traits are their ability to learn, the possibility of generalization and their tolerance towards mistakes. These characteristics make their use viable and cost-efficient in any field in general, and in Structural Engineering in particular. The most extended construction material nowadays is concrete, mainly because of its high resistance and its adaptability to formwork during its fabrication process. Along this chapter we will find different applications of ANNs to structural concrete.
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