基于U-Net++的建筑物抗震能力评价模型

doi:10.12196/j.issn.1000-3274.2024.04.010

地震 ›› 2024, Vol. 44 ›› Issue (4): 153-172.doi: 10.12196/j.issn.1000-3274.2024.04.010

基于U-Net++的建筑物抗震能力评价模型

侯红语¹, 窦爱霞¹, 郭红梅²

1.中国地震局地震预测研究所, 北京 100036;
2.四川省地震局, 四川成都 610041

收稿日期:2023-05-19 修回日期:2024-08-07 出版日期:2024-10-31 发布日期:2024-12-16
通讯作者: 窦爱霞, 正研级高工。 E-mail: axdothy@163.com
作者简介:侯红语(1998-), 女, 河南郑州人, 在读硕士研究生, 主要从事遥感与地震灾害风险评估研究。
基金资助:
国家高分专项课题(31-Y30B09-9001-13/15-06); 中国地震局地震预测研究所基本科研业务费专项(CEAIEF202403016, CEAIEF20240503)

Seismic Capacity Evaluation Model for Buildings Based on U-Net++

HOU Hong-yu¹, DOU Ai-xia¹, GUO Hong-mei²

1. Institute of Earthquake Forecasting, China Earthquake Administration, Beijing 100036, China;
2. Sichuan Earthquake Agency, Chengdu 610041, China

Received:2023-05-19 Revised:2024-08-07 Online:2024-10-31 Published:2024-12-16

摘要/Abstract

摘要： 针对传统建筑物抗震评估耗时耗力、难以大范围展开的问题, 本文提出了一种基于U-Net++的建筑物抗震能力评价模型。该模型以U-Net++为骨干网络, 集成了多种信息源, 包括高分辨率遥感影像、建筑物建造年代、高度、用途和结构类型。以四川省雅安市雨城区为研究区, 设计了17个对比实验探究不同特征对建筑物抗震能力的影响程度, 为广域地震灾害风险精细化评估提供了有力的技术支撑。

关键词: 遥感影像, 建筑物, 抗震性能, 语义分割, U-Net++

Abstract: Aiming at the problem that the traditional seismic evaluation of buildings time-consuming and the difficulty in a large-scale implementation, this paper proposes a seismic capacity evaluation model for buildings based on U-Net++. The model takes U-Net++ as the backbone network, integrates multiple information sources, such as high-resolution remote sensing images, building construction age, height, use and structural types. Taking the Yucheng District of Ya’an City, Sichuan Province, as the study area, 17 comparative experiments were designed to explore the degree of influence that different features have on the seismic resilience of buildings. This work provides robust technical support for refined assessments of earthquake disaster risks on a broad scale.

Key words: Remote sensing images, Buildings, Seismic capacity, Segmentation, U-Net++

中图分类号:

TP79

侯红语, 窦爱霞, 郭红梅. 基于U-Net++的建筑物抗震能力评价模型[J]. 地震, 2024, 44(4): 153-172.

HOU Hong-yu, DOU Ai-xia, GUO Hong-mei. Seismic Capacity Evaluation Model for Buildings Based on U-Net++[J]. EARTHQUAKE, 2024, 44(4): 153-172.

参考文献

[1] 苏启旺. 砌体结构抗震能力评估研究[D]. 成都: 西南交通大学, 2012.
SU Qi-wang. Seismic evaluation of masonry structures[D]. Chengdu: Southwest Jiaotong University, 2012 (in Chinese).
[2] 胡少卿, 孙柏涛, 王东明, 等. 经验震害矩阵的完善方法研究[J]. 地震工程与工程振动, 2007, 27(6): 46-50.
HU Shao-qing, SUN Bai-tao, WANG Dong-ming, et al. Approach to making empirical earthquake damage matrix[J]. Earthquake Engineering and Engineering Vibration, 2007, 27(6): 46-50 (in Chinese).
[3] 王强. 砖木结构房屋抗震性能评价方法研究[D]. 兰州: 中国地震局兰州地震研究所, 2009.
WANG Qiang. The methodological analysis on the assessment of the anti-seismic performance of the brick-wood building[D]. Lanzhou: Lanzhou Institute of Seismology, China Earthquake Administration, 2009 (in Chinese).
[4] 李萍. 我国农居抗震性能评价及对比研究[D]. 青岛: 中国海洋大学, 2014.
LI Ping. Research on evaluation and comparison of seismic performance in China’s rural residential buildings[D]. Qingdao: Ocean University of China, 2014 (in Chinese).
[5] 姚志强. 结构抗震性能评估的动测方法研究[J]. 高原地震, 1996, 8(1): 41-44.
YAO Zhi-qiang. Study on the dynamic test method of the aseismic behaviour evaluation of the engineering structure[J]. Plateau Earthquake Research, 1996, 8(1): 41-44 (in Chinese).
[6] 林世镔. 建筑物抗震能力研究[D]. 哈尔滨: 中国地震局工程力学研究所, 2010.
LIN Shi-bin. Study on seismic capacity of buildings[D]. Harbin: Institute of Engineering Mechanics, China Earthquake Administration, 2010 (in Chinese).
[7] 娄亚非. 西藏典型单层砌体民居抗震性能研究[D]. 哈尔滨: 哈尔滨工程大学, 2015.
LOU Ya-fei. Seismic behavior analysis of typical single-layer masonry structure in Tibet[D]. Harbin: Harbin Engineering University, 2015 (in Chinese).
[8] 李正农, 吴红华. 结构物地震灾害预测的灰色模糊综合评判方法[J]. 武汉城市建设学院学报, 1995, 13(2): 39-43.
LI Zheng-nong, WU Hong-hua. Grey-fuzzy comprehensive evaluation method of structural seismic disasters prediction[J]. Journal of Wuhan Urban Construction Institute, 1995, 13(2): 39-43 (in Chinese).
[9] 尹之潜. 地震灾害及损失预测方法[M]. 北京: 地震出版社, 1995.
YIN Zhi-qian. Earthquake disaster and loss prediction method[M]. Beijing: Seismological Press, 1995 (in Chinese).
[10] 刘章军, 叶燎原, 潘文. 基于模糊贝叶斯的震害预测[J]. 昆明理工大学学报(理工版), 2002, 27(6): 108-111.
LIU Zhang-jun, YE Liao-yuan, PAN Wen. Prediction of seismic disasters based on fuzzy-bayes theory[J]. Journal of Kunming University of Science and Technology (Science and Engineering Edition), 2002, 27(6): 108-111 (in Chinese).
[11] 张桂欣, 孙柏涛, 陈相兆, 等. 北京市建筑抗震能力分类及地震灾害风险分析[J]. 地震工程与工程振动, 2018, 38(3): 223-229.
ZHANG Gui-xin, SUN Bai-tao, CHEN Xiang-zhao, et al. Seismic capacity classification of buildings and seismic disaster risk analysis in Beijing City[J]. Earthquake Engineering and Engineering Vibration, 2018, 38(3): 223-229 (in Chinese).
[12] 李铁铮, 翟永梅. 遥感技术在城市建筑震害预测中的应用研究[J]. 灾害学, 2010, 25(S1): 333-338.
LI Tie-zheng, ZHAI Yong-mei. Research on application of remote sensing technique in prediction of earthquake damage of urban structures[J]. Journal of Catastrophology, 2010, 25(S1): 333-338 (in Chinese).
[13] 李钢, 张鹏程, 董志骞, 等. 村镇砌体建筑群信息智能获取与震害预测[J]. 建筑结构学报, 2022, 43(8): 196-208.
LI Gang, ZHANG Peng-cheng, DONG Zhi-qian, et al. Intelligent information acquisition methods and seismic damage prediction of rural masonry building groups[J]. Journal of Building Structures, 2022, 43(8): 196-208 (in Chinese).
[14] 费毕刚, 韩鹏飞, 朱茂, 等. 基于星载InSAR技术的城市房屋安全风险识别[J]. 城市勘测, 2021(3): 71-76.
FEI Bi-gang, HAN Peng-fei, ZHU Mao, et al. Risk identification of urban house safety based on spaceborne InSAR technology[J]. Urban Geotechnical Investigation ＆ Surveying, 2021(3): 71-76 (in Chinese).
[15] 明小娜, 杨健强, 张原硕, 等. 利用遥感影像和经验估计方法初判云南省建水县房屋抗震能力[J]. 地震研究, 2022, 45(1): 132-140.
MING Xiao-na, YANG Jian-qiang, ZHANG Yuan-shuo, et al. Preliminary assessment of the seismic capacity of buildings in Jianshui County, Yunnan Province based on remote sensing images and the empirical estimation method[J]. Journal of Seismological Research, 2022, 45(1): 132-140 (in Chinese).
[16] Ronneberger O, Fischer P, Brox T. U-Net: Convolutional networks for biomedical image segmentation[M]//Springer, Cham: International Conference on Medial Image Computing and Computer-assisted Intervention, 2015.
[17] Zhou Z W, Rahman Siddiquee M M, Tajbakhsh N, et al. UNet++: A nested U-Net architecture for medical image segmentation[J]. Lecture Notes in Computer Science, 2018, 11045: 3-11.
[18] 杨劲松. 基于多模态特征融合的遥感图像语义分割方法研究[D]. 北京: 中国矿业大学, 2020.
YANG Jin-song. Research on semantic segmentation of remote sensing images based on multimaodal feature fusion[D]. Beijing: China University of Mining and Technology, 2020 (in Chinese).
[19] 李万琦. 基于多模态融合的遥感影像分割算法研究[D]. 武汉: 中南民族大学, 2020.
LI Wan-qi. Research on remote sensing image segmentation algorithm based on multimodal fusion[D]. Wuhan: South-Central Minzu University, 2020 (in Chinese).
[20] 王鑫. 融合多源信息的建筑物结构类型深度学习提取方法研究[D]. 北京: 中国地震局地震预测研究所, 2022.
WANG Xin. Research on deep learning extraction method of building structure type based on multi-source information[D]. Beijing: Institute of Earthquake Forecasting, China Earthquake Administration, 2022 (in Chinese).
[21] 中华人民共和国住房和城乡建设部.建筑抗震设计标准: GB/T50011—2010[S/OL]. [2024-08-01]https://www.mohurd.gov.cn/gongkai/zhengce/zhengcefilelib/202405/20240523_778179.html
Ministry of Housing and Urban-Rural Development of the People’s Republic of China.Seismic design standard for buildings: GB/T50011-2010[S/OL]. [2024-08-01] https://www.mohurd.gov.cn/gongkai/zhengce/zhengcefilelib/202405/20240523_778179.html (in Chinese).

基于U-Net++的建筑物抗震能力评价模型

Seismic Capacity Evaluation Model for Buildings Based on U-Net++

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