This study proposes a general imperfect thermal contact model to predict the thermal contact resistance at the interface among multi-layered composite structures.Based on the Green-Lindsay(GL)thermoelastic theory,semi...This study proposes a general imperfect thermal contact model to predict the thermal contact resistance at the interface among multi-layered composite structures.Based on the Green-Lindsay(GL)thermoelastic theory,semi analytical solutions of temperature increment and displacement of multi-layered composite structures are obtained by using the Laplace transform method,upon which the effects of thermal resistance coefficient,partition coefficient,thermal conductivity ratio and heat capacity ratio on the responses are studied.The results show that the generalized imperfect thermal contact model can realistically describe the imperfect thermal contact problem.Accordingly,it may degenerate into other thermal contact models by adjusting the thermal resistance coefficient and partition coefficient.展开更多
由于年代久远和自然因素等影响,许多古代壁画表面存在着不同程度的损坏,精准地检测这些破损区域对于保护文化遗产具有重要研究价值。然而,现有的方法在古代壁画的破损检测中存在检测不全,对微小细节的破损区域检测不准确等问题。针对以...由于年代久远和自然因素等影响,许多古代壁画表面存在着不同程度的损坏,精准地检测这些破损区域对于保护文化遗产具有重要研究价值。然而,现有的方法在古代壁画的破损检测中存在检测不全,对微小细节的破损区域检测不准确等问题。针对以上问题,提出基于嵌套U型结构网络的壁画破损区域检测方法U2-DUANet,该方法采用了一种新的深度监督聚合模块,能够更有效地融合侧边输出的细节信息。提出了一种像素级上下文及通道注意力(pixel-wise contextual and channel attention,PCCA)机制,来选择性地关注每个像素上的信息上下文特征以及通道信息,更精确地捕捉图像的重要特征,提高模型的准确性。自主创建了一个古代破损壁画图像的数据集,并对其破损区域进行了人工标注。在壁画数据集上的实验结果表明,U2-DUANet相比于U-Net,在精确率和F-measure上分别提升了10.5个百分点和8.2个百分点,并且具有更好的鲁棒性和泛化能力。展开更多
基金Projects(42477162,52108347,52178371,52168046,52178321,52308383)supported by the National Natural Science Foundation of ChinaProjects(2023C03143,2022C01099,2024C01219,2022C03151)supported by the Zhejiang Key Research and Development Plan,China+6 种基金Project(LQ22E080010)supported by the Exploring Youth Project of Zhejiang Natural Science Foundation,ChinaProject(LR21E080005)supported by the Outstanding Youth Project of Natural Science Foundation of Zhejiang Province,ChinaProject(2022M712964)supported by the Postdoctoral Science Foundation of ChinaProject(2023AFB008)supported by the Natural Science Foundation of Hubei Province for Youth,ChinaProject(202203)supported by Engineering Research Centre of Rock-Soil Drilling&Excavation and Protection,Ministry of Education,ChinaProject(202305-2)supported by the Science and Technology Project of Zhejiang Provincial Communication Department,ChinaProject(2021K256)supported by the Construction Research Founds of Department of Housing and Urban-Rural Development of Zhejiang Province,China。
文摘This study proposes a general imperfect thermal contact model to predict the thermal contact resistance at the interface among multi-layered composite structures.Based on the Green-Lindsay(GL)thermoelastic theory,semi analytical solutions of temperature increment and displacement of multi-layered composite structures are obtained by using the Laplace transform method,upon which the effects of thermal resistance coefficient,partition coefficient,thermal conductivity ratio and heat capacity ratio on the responses are studied.The results show that the generalized imperfect thermal contact model can realistically describe the imperfect thermal contact problem.Accordingly,it may degenerate into other thermal contact models by adjusting the thermal resistance coefficient and partition coefficient.
文摘由于年代久远和自然因素等影响,许多古代壁画表面存在着不同程度的损坏,精准地检测这些破损区域对于保护文化遗产具有重要研究价值。然而,现有的方法在古代壁画的破损检测中存在检测不全,对微小细节的破损区域检测不准确等问题。针对以上问题,提出基于嵌套U型结构网络的壁画破损区域检测方法U2-DUANet,该方法采用了一种新的深度监督聚合模块,能够更有效地融合侧边输出的细节信息。提出了一种像素级上下文及通道注意力(pixel-wise contextual and channel attention,PCCA)机制,来选择性地关注每个像素上的信息上下文特征以及通道信息,更精确地捕捉图像的重要特征,提高模型的准确性。自主创建了一个古代破损壁画图像的数据集,并对其破损区域进行了人工标注。在壁画数据集上的实验结果表明,U2-DUANet相比于U-Net,在精确率和F-measure上分别提升了10.5个百分点和8.2个百分点,并且具有更好的鲁棒性和泛化能力。
