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基于优化DeepLabv3+的混凝土梁裂缝分割及特征量化 被引量:2
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作者 张修杰 袁嘉豪 +1 位作者 岳学军 张伟锋 《科学技术与工程》 北大核心 2023年第9期3794-3803,共10页
目前基于深度神经网络的裂缝分割模型存在着训练参数多、裂缝边缘分割粗糙、分割精度不足、缺少深度特征语义信息等问题。为解决以上问题,对分割性能较好的DeepLabv3+模型进行研究,嵌入Non-local注意力机制,并改进了主干网络ResNet101... 目前基于深度神经网络的裂缝分割模型存在着训练参数多、裂缝边缘分割粗糙、分割精度不足、缺少深度特征语义信息等问题。为解决以上问题,对分割性能较好的DeepLabv3+模型进行研究,嵌入Non-local注意力机制,并改进了主干网络ResNet101得到优化模型DeepLabv3+(N-S),最后基于优化模型的输出并使用裂缝骨架提取的方法来量化裂缝特征参数。使用的数据集为自制的混凝土梁裂缝图像数据集,并对优化前后模型作对比实验,分析了模型在各项性能上优化的有效性,并使用实测数据来验证评估裂缝各项特征参数量化方法。实验结果表明,DeepLabv3+(N-S)网络在数据集上的平均像素准确率(mean pixel accuracy,mPA)、平均交并比(mean intersection over union,mIoU)分别达到了88.86%、82.04%,较于原模型分别提高2.21%、2.54%,裂缝分割效果优于原模型,且裂缝样本各项特征参数量化的平均误差为+8.7%,低于原模型,可满足工程上的检测精度需求。 展开更多
关键词 裂缝分割 DeepLabv3+模型 NON-LOCAL 主干网络改进 裂缝特征参数量化
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High-Performance Humidity Sensors Based on Double-Layer ZnO-TiO_(2) Nanofibers via Electrospinning 被引量:1
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作者 yue xue-jun HONG Tian-Sheng +1 位作者 XU Xing LI Zhen 《Chinese Physics Letters》 SCIE CAS CSCD 2011年第9期69-72,共4页
ZnO and TiO_(2) nanofibers are synthesized via electrospinning methods and characterized by x−ray diffraction,scanning electron microscopy,and transmission electron microscopy.Humidity sensors with double-layer sensin... ZnO and TiO_(2) nanofibers are synthesized via electrospinning methods and characterized by x−ray diffraction,scanning electron microscopy,and transmission electron microscopy.Humidity sensors with double-layer sensing films are fabricated by spinning the ZnO and TiO_(2) nanofibers on ceramic substrates sequentially.Compared with sensors loading only one type of nanofiber,the double-layer sensors exhibit much better sensing properties.The corresponding impedance changes more than four orders of magnitude within the whole humidity range from 11%to 95%relative humidity,and the response and recovery times are about 11 and 7 s,respectively.Maximum hysteresis is around 1.5%RH,and excellent stability is also observed after 180 days.The humidity sensing mechanism is discussed in terms of the sensor structure.The experimental results provide a possible route for the design and fabrication of high performance humidity sensors based on one-dimensional nanomaterials. 展开更多
关键词 materials fibers SPINNING
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动态荷载下半刚性沥青路面弯沉的影响因素 被引量:2
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作者 岳学军 王君雄 +3 位作者 史纪村 李忠玉 左献宝 张庆 《筑路机械与施工机械化》 2020年第1期1-5,共5页
在ABAQUS中建立移动的周期荷载,模拟真实的车辆荷载,分析连续式弯沉检测中检测速度、轴载大小、检测温度对路表弯沉产生的影响。计算表明:车速由40 km·h^-1增加到120 km·h^-1时,车速对弯沉值的影响显著,弯沉值下降了15.22%,... 在ABAQUS中建立移动的周期荷载,模拟真实的车辆荷载,分析连续式弯沉检测中检测速度、轴载大小、检测温度对路表弯沉产生的影响。计算表明:车速由40 km·h^-1增加到120 km·h^-1时,车速对弯沉值的影响显著,弯沉值下降了15.22%,尤其是在低速行驶时更加明显;路表弯沉与轴载大小基本上按照线性比例增加;当温度较低时,路表弯沉随温度较为缓慢变化,接近线性变化;当温度较高时,路表弯沉随温度的变化加快。研究结果初步揭示了检测参数对路表弯沉的影响,为连续式弯沉检测设备的开发应用提供了依据。 展开更多
关键词 道路工程 弯沉 轴载 数值分析
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High Performance Micro CO Sensors Based on ZnO-SnO_(2) Composite Nanofibers with Anti-Humidity Characteristics
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作者 yue xue-jun HONG Tian-Sheng +2 位作者 XIANG Wei CAI Kun XU Xing 《Chinese Physics Letters》 SCIE CAS CSCD 2012年第12期44-47,共4页
ZnO-SnO_(2) composite nanofibers are synthesized via an electrospinning method and characterized by x-ray diffraction,scanning electron microscopy,and transmission electron microscopy.Micro sensors are fabricated by s... ZnO-SnO_(2) composite nanofibers are synthesized via an electrospinning method and characterized by x-ray diffraction,scanning electron microscopy,and transmission electron microscopy.Micro sensors are fabricated by spinning the nanofibers on Si substrates with Pt signal and heater electrodes.The sensors with small areas(600μm×200μm)can detect CO down to 1 ppm at 360℃.The corresponding sensitivity,response time,and recovery time are 3.2,6 s,and 11 s,respectively.Importantly,the sensors can operate at high humidity conditions.The sensitivity only decreases to 2.3 when the sensors are exposed to 1 ppm CO at 95%relative humidity.These excellent sensing properties are due to combining the benefits of one-dimensional nanomaterials and the ZnO-SnO_(2) grain boundary in the nanofibers. 展开更多
关键词 fibers COMPOSITE humidity
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