首页> 外文会议>Engineering Plasticity and Its Applications from Nanoscale to Macroscale pt.2; Key Engineering Materials; vol.340-341 >Study on the Mechanical Property and the Evolutionary Neural Network Constitutive Model for Limestone under Chemical Corrosive Environments
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Study on the Mechanical Property and the Evolutionary Neural Network Constitutive Model for Limestone under Chemical Corrosive Environments

机译:化学腐蚀环境下石灰石的力学性能和演化神经网络本构模型研究

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In this paper, the experimental study on the mechanical property of limestone under triaxial compression with different hydrochemical environments is conducted and the non-linear characteristics of complete stress-strain process of limestone subjected to chemical corrosion, are analyzed. The behaviors of deformation and strength of limestone eroded by different chemical solutions are obtained. It is known from the experimental and analytical results that different chemical environments such as chemical composition, pH value etc can affect the mechanical property of rock differently. How to establish a multifactor characteristic constitutive model which can reflect different chemical environments is the key problem to study the coupling corrosion effect of stress and chemistry of rock. The constitutive model of evolutionary neural network for rock under chemical corrosive environments is put forward, and the neural network constitutive relationship under stress-chemistry coupling corrosion is established by applying the theory of evolutionary computation and neural network. The neural network constitutive model established in this presented paper mainly takes into account the following three aspects: chemical environments of rock specimens, content of main mineral compositions that are liable to being eroded by chemical solution, and mechanical environments. The results are in good agreement with the experimental data.
机译:本文对石灰石在不同水化学环境下三轴压缩下的力学性能进行了实验研究,分析了石灰石在化学腐蚀作用下的完整应力-应变过程的非线性特征。得到了不同化学溶液侵蚀的石灰石的变形和强度行为。从实验和分析结果得知,不同的化学环境(例如化学成分,pH值等)可以对岩石的机械性能产生不同的影响。如何建立能反映不同化学环境的多因素特征本构模型是研究岩石应力与化学耦合腐蚀作用的关键问题。提出了化学腐蚀环境下岩石的演化神经网络本构模型,运用演化计算理论和神经网络,建立了应力-化学耦合腐蚀下的神经网络本构关系。本文提出的神经网络本构模型主要考虑以下三个方面:岩石标本的化学环境,易于被化学溶液侵蚀的主要矿物成分的含量以及机械环境。结果与实验数据吻合良好。

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