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一种用于描述损伤后机织聚对苯二甲酸乙二酯土工格栅拉伸响应的本构模型。

A Constitutive Model for Describing the Tensile Response of Woven Polyethylene Terephthalate Geogrids after Damage.

作者信息

Lombardi Giovani, Pinho-Lopes Margarida, Paula António Miguel, Pereira António Bastos

机构信息

RISCO, Department of Civil Engineering, University of Aveiro, Campus Universitário de Santiago, 3810-193 Aveiro, Portugal.

CONSTRUCT-GEO, Department of Civil Engineering, Faculty of Engineering, University of Porto, Rua Doutor Roberto Frias, s/n, 4200-465 Porto, Portugal.

出版信息

Materials (Basel). 2023 Jul 31;16(15):5384. doi: 10.3390/ma16155384.

DOI:10.3390/ma16155384
PMID:37570088
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10419698/
Abstract

A constitutive model was used to describe the tensile response of two woven Polyethylene Terephthalate (PET) geogrids, before and after mechanical damage. The model parameters of undamaged and damaged specimens were estimated via numerical regressions of test results. For each sample, the experimental and fitted tensile strengths were statistically compared using hypothesis tests. For each geogrid, tensile load-strain curves of damaged samples were drawn by applying scaling factors to the plot of the undamaged sample. The curve fittings resulted in high R values for undamaged and damaged specimens of the geogrids. For most samples, there was no significant mean difference between the experimental and fitted tensile strength. The model allowed us to describe the load-strain curve of a geogrid from its tensile properties: ε, and . Regardless of the type of damage (in laboratory or in situ), the model was able to describe the load-strain curves of damaged samples using data from undamaged samples and scaling factors.

摘要

采用本构模型描述了两种机织聚对苯二甲酸乙二酯(PET)土工格栅在机械损伤前后的拉伸响应。通过对试验结果进行数值回归,估计了未损伤和损伤试样的模型参数。对于每个样本,使用假设检验对实验拉伸强度和拟合拉伸强度进行了统计比较。对于每种土工格栅,通过对未损伤样本的曲线应用比例因子,绘制了损伤样本的拉伸载荷-应变曲线。曲线拟合得到了土工格栅未损伤和损伤试样的高R值。对于大多数样本,实验拉伸强度和拟合拉伸强度之间没有显著的平均差异。该模型使我们能够根据土工格栅的拉伸特性ε和描述其载荷-应变曲线。无论损伤类型(在实验室或现场)如何,该模型都能够使用未损伤样本的数据和比例因子来描述损伤样本的载荷-应变曲线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/baf0aff75808/materials-16-05384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/92265f2faf79/materials-16-05384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/59c2c6bd4dce/materials-16-05384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/ce30d3e56db1/materials-16-05384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/764617f28f2f/materials-16-05384-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/b7c20dc6021b/materials-16-05384-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/baf0aff75808/materials-16-05384-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/92265f2faf79/materials-16-05384-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/59c2c6bd4dce/materials-16-05384-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/ce30d3e56db1/materials-16-05384-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/764617f28f2f/materials-16-05384-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/b7c20dc6021b/materials-16-05384-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ae0/10419698/baf0aff75808/materials-16-05384-g006.jpg

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