做爱视频

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石林泽
讲师

1、期刊论文

u Linze Shi, Bin Cheng, Sheng Xiang. A fatigue crack prediction method based on inductive semi-supervised learning and Lamb-wave monitoring for orthotropic steel bridge deck[J]. Engineering Structures, 2025, 322: 119070. (SCI)

u Linze Shi, Yong Ding, Bin Cheng. Development and application of digital twin technique in steel structures. Applied Sciences-Basel, 2024, 14: 11685. (SCI)

u Linze Shi, Bin Cheng, Derui Li, et al. Fatigue crack monitoring in OSDs using Lamb wave longitudinal transmission[J]. Journal of Constructional Steel Research, 2024, 212: 108245. (SCI)

u Linze Shi, Bin Cheng, Sheng Xiang, et al. Monitoring for fatigue crack geometry in orthotropic steel bridge decks by application of reflected Lamb waves[J]. Thin-Walled Structures, 2023, 192: 111170. (SCI)

u Linze Shi, Bin Cheng, Derui Li, et al. A CNN-based lamb wave processing model for field monitoring of fatigue cracks in orthotropic steel bridge decks[J]. Structures, 2023, 57: 105146. (SCI)

u Derui Li, Bin Cheng, Linze Shi, et al. An automated monitoring method for the fatigue crack propagation based on decorrelated digital image correlation[J]. International Journal of Fatigue. 2024, 183: 108265. (SCI)

u Derui Li, Bin Cheng, Linze Shi, et al. Propagation monitoring for fine fatigue crack using homographs mapping error and digital image correlation[J]. Mechanical Systems and Signal Processing. 2024, 220: 111628. (SCI)

u Linze Shi, Bin Cheng, Sheng Xiang, et al. Analysis of Lamb wave monitoring of fatigue cracks at floor beam cutout of orthotropic steel bridge decks[J]. Journal of Southeast University (English Edition). 2024, 40 (01): 24-32. (EI)

u 石林泽, 程斌, 董华能等. 基于卷积神经网络的钢桥面板疲劳裂纹识别方法研究[J]. 桥梁建设, 2023, 53 (04): 62-69. (EI)

u 程斌, 石林泽, 刘天成. 基于Lamb导波深度学习的钢桥面板疲劳裂纹智能监测研究[J]. 中国公路学报, 2023, 36 (02): 120-128. (EI)

u 石林泽, 程斌. 钢桥面板疲劳裂纹监测的Lamb导波传播特征的机理研究[J]. 公路, 2022, 67 (07): 151-156. (中文核心)

u 石林泽, 赵健, 程斌等. 基于三维激光扫描的钢桁拱桥吊索塔架施工线形监测研究[J]. 世界桥梁, 2022, 50(01): 79-85. (中文核心)

u 石林泽, 郑金辉, 齐昌广等. 基于透明土技术的开口管桩施工模拟[J]. 水文地质工程地质, 2018, 45(04): 113-120. (中文核心)

u 石林泽, 程斌, 曹一山等. 基于机器学习的超大跨度悬索桥健康状态评估[J]. 上海公路, 2020(03): 48-53+100.

u 石林泽, 徐晨翱, 丁勇等. 自然养护下UHPC制备方式与抗压强度分析[J]. 工程建设与设计, 2018 (03): 229-232.

u 石林泽, 杨阳, 丁勇等. 桥梁伸缩缝噪声实测与影响因素分析[J]. 环境与发展, 2017, 29(06): 145-146.


2、会议论文

u 石林泽, 程斌, 刘天成. 基于导波传感的钢桥面板疲劳裂纹智能监测技术研究[C]// 第三届做爱视频计算与仿真技术学术会议. 南宁, 2023.

u Linze Shi, Changguang Qi. In-situ Experimental Investigation on Pullout Performances and Horizontal Bearing Properties of Bored Piles[C]// 2nd International Symposium on Asia Urban Geoengineering, Changsha, 2017.

3、发明专利

u 一种基于导波传感的钢桥面板疲劳裂纹监测装置及方法. 专利号:ZL 202010793859.8.发明人:程斌, 石林泽, 向升等.

u 一种高性能耐久防腐拉索锚具及其施工方法. 专利号: ZL 201710986106.7. 发明人: 齐昌广, 石林泽, 方汝峰等.

u 一种应用于地铁中的抗震基础及施工方法. 专利号: ZL 201710984399.5. 发明人: 齐昌广, 石林泽, 方汝峰等.