Determination of the interfacial properties of longitudinal continuous slab track via a field test and ANN-based approaches
Determination of the interfacial properties of longitudinal continuous slab track via a field test and ANN-based approaches
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通过现场测试和基于 ANN 的方法确定纵向连续板式轨道的界面特性
DOI：
10.1016/j.engstruct.2021.113039
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发表时间：
2021-11
影响因子：
5.5
通讯作者：
Li Shaofan
中科院分区：
文献类型：
--
作者：
Su Miao;Xie Huan;Kang Chongjie;Li Shaofan
由于纵向连续板式轨道（LCST）普遍存在层间剥离和分离现象，准确估算混凝土轨道板与水泥乳化沥青（CA）砂浆层之间的界面法向粘结参数是一项重要的研究课题。本研究首先进行了足尺垂直拉伸试验（VPT），以研究LCST的界面正常的粘结能力。在此基础上，测得了一系列的载荷-位移曲线。然后，人工神经网络（ANN）为基础的方法开发的机器学习（ML）框架下的结构响应和界面性能之间的关系映射。此外，一个精细的宏观有限元（FE）模型，采用指数内聚区模型（CZM）建立模拟界面脱粘过程。分别使用有限元分析得到的全局荷载-位移响应和局部应力-滑移响应的两个数据集对人工神经网络进行训练和验证。结果表明，人工神经网络给出的预测值与地面真实值非常吻合。此外，通过训练好的人工神经网络与实验的VPT的载荷-位移曲线，现实的界面正常的粘结参数LCST被识别。最后将实验结果与根据辨识参数恢复的结果进行了对比分析。结果表明，所提出的参数确定方法准确可靠。开发的混合方法，结合实验和有限元分析与ML方法可以是一个很有前途的替代识别结构工程中的材料性能。
Due to the common existence of interlayer debonding and separation of longitudinal continuous slab track (LCST), accurately estimating the interfacial normal cohesive parameters between the concrete track slab and the cement emulsified asphalt (CA) mortar layer is an important task. This study first carried out a full-scale vertical pull test (VPT) to study the interfacial normal bond capacity of LCST. As a result, a series of load–displacement curves were measured. Then, an artificial neural network (ANN)-based approach was developed to map the relationship between the structural response and the interfacial properties under a machine learning (ML) framework. In addition, a refined macroscale finite element (FE) model that employed the exponential cohesive zone model (CZM) was established to simulate the interfacial debonding process. Two datasets of the global load–displacement and the local stress-slip responses obtained from the FE analysis were separately used to train and verify the ANN. Our results showed that the predictions given by the ANNs and the ground truth values were in close agreement. Furthermore, by feeding the well-trained ANN with the experimental load–displacement curves of the VPT, the realistic interfacial normal cohesive parameters of LCST were identified. Afterward, a comparative analysis of the experimental results and the recovered results according to the identified parameters was carried out. The results showed that the proposed parameter determination method is accurate and reliable. The developed hybrid approach that combines experimental and FE analysis with ML methods can be a promising alternative for identifying material properties in structural engineering.
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影响因子：
3.7
作者：
M. Timmerman
通讯作者：
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影响因子：
3.2
作者：
Abdi, Herve;Williams, Lynne J.
通讯作者：
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影响因子：
6.3
作者：
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Rafael Cidade;Daniel S.V. Castro;E. Castrodeza;P. Kuhn;G. Catalanotti;J. Xavier;P. Camanho
DOI：
10.1142/9789812791764_0009
发表时间：
2008-03
期刊：
--
影响因子：
--
作者：
Martin Sewell
通讯作者：
Martin Sewell
影响因子：
7.8
作者：
Hyvärinen, A;Oja, E
通讯作者：
Oja, E