发现结构、建筑和国防相关工程现象的因果模型

IF 5.1 2区 工程技术 Q1 Engineering Defence Technology Pub Date : 2024-04-27 DOI:10.1016/j.dt.2024.04.007
M.Z. Naser
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引用次数: 0

摘要

因果关系是一门关于因果关系的科学,它使我们有可能创建一系列新的模型。这类模型通常被称为因果模型。与那些数学、数值、实证或机器学习(ML)性质的模型不同,因果模型希望通过因果原则将现象(即数据生成过程)的因果关系联系起来。本文是在结构和建筑工程领域创建因果模型的首批作品之一。为此,本文首先简要回顾了因果关系原理,然后采用四种因果关系发现算法,即 PC(彼得-克拉克)、FCI(快速因果推理)、GES(贪婪等价搜索)和 GRaSP(贪婪松弛最稀疏排列),对四种现象进行了研究,包括预测轴向加载构件的承载能力、结构构件的耐火性、梁的抗剪强度和墙体抗冲击(爆炸)荷载能力。研究结果揭示了发现完整和部分因果模型的可能性和优点。最后,本研究还提出了两个有助于评估因果发现算法性能的简单指标。
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Discovering causal models for structural, construction and defense-related engineering phenomena
Causality, the science of cause and effect, has made it possible to create a new family of models. Such models are often referred to as causal models. Unlike those of mathematical, numerical, empirical, or machine learning (ML) nature, causal models hope to tie the cause(s) to the effect(s) pertaining to a phenomenon (i.e., data generating process) through causal principles. This paper presents one of the first works at creating causal models in the area of structural and construction engineering. To this end, this paper starts with a brief review of the principles of causality and then adopts four causal discovery algorithms, namely, PC (Peter-Clark), FCI (fast causal inference), GES (greedy equivalence search), and GRaSP (greedy relaxation of the sparsest permutation), have been used to examine four phenomena, including predicting the load-bearing capacity of axially loaded members, fire resistance of structural members, shear strength of beams, and resistance of walls against impulsive (blast) loading. Findings from this study reveal the possibility and merit of discovering complete and partial causal models. Finally, this study also proposes two simple metrics that can help assess the performance of causal discovery algorithms.
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来源期刊
Defence Technology
Defence Technology Engineering-Computational Mechanics
CiteScore
7.50
自引率
7.80%
发文量
1248
审稿时长
22 weeks
期刊介绍: Defence Technology, sponsored by China Ordnance Society, is published quarterly and aims to become one of the well-known comprehensive journals in the world, which reports on the breakthroughs in defence technology by building up an international academic exchange platform for the defence technology related research. It publishes original research papers having direct bearing on defence, with a balanced coverage on analytical, experimental, numerical simulation and applied investigations. It covers various disciplines of science, technology and engineering.
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