混凝土隐性裂缝在生长中暗藏结构事故先兆，及早探明隐裂缝即可从源头控制工程开裂危险。然而，在隐裂缝形态细观尺度与工程结构宏观尺度综合制约下，目前尚缺乏在高混凝土坝中探明隐裂缝的技术方法。本研究利用混凝土隐裂缝毛细吸附原理，构思荧光激励紫外线辐射无人机探测定位技术；自研激励专用荧光溶液，提出隐裂缝激励形态解译方法；研发荧光喷液激励无人机平台与紫外光辐射可将光成像探测定位无人机平台。通过自研探测技术，在构皮滩高混凝土坝泄水孔闸墩探明了0.01mm级隐裂缝，解决了目前工程结构中特别是人员难达区域中隐性裂缝难以高效探测的行业难题。该数据可为构皮滩大坝开裂风险防控提供事故先兆级数据支持。", "ds_source": "
本数据是基于高混凝土坝隐性裂缝荧光激励紫外线辐射探测定位技术装备，通过探测无人机事前观察待激励面初始状态，荧光喷液无人机喷液激励，探测无人机向荧光激励面辐射紫外光并投射标识尺，通过可见光相机成像探明隐裂缝，确定裂缝相对位置的方法探测获得。", "ds_process_way": "
本数据为通过高混凝土坝隐性裂缝荧光激励紫外线辐射探测定位技术装备直接探测获得，无需加工等。", "ds_quality": "
当环境光照度在300~1000lux，混凝土坝面待探测区域表面不存在大范围的附着物时，使用探测无人机在激励前飞抵待探测区域观察记录坝面初始状态；然后喷液无人机对待探测区域进行喷液激励，待探测区域表面荧光激励液恰好可自由流动时，激励程度满足要求；激励后，在60s内基于探测无人机平台对激励面完成紫外光与标识尺辐射下的可见光成像；从探测图像中获得隐裂缝的分布数据。", "ds_acq_start_time": "2024-05-08 00:00:00", "ds_acq_end_time": "2024-05-16 00:00:00", "ds_acq_place": "构皮滩高混凝土坝", "ds_acq_lon_east": 107.48, "ds_acq_lat_south": 27.26, "ds_acq_lon_west": 107.48, "ds_acq_lat_north": 27.26, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 3816706, "ds_files_count": 2, "ds_format": "*.excel", "ds_space_res": null, "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "befb13ae-3f16-4f19-ae18-28b93e64c402.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "973f338d-7fd4-4c6f-aab1-44a5c242d419", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "410" ], "quality_level": 3, "publish_time": "2025-06-27 10:02:02", "last_updated": "2025-06-30 15:45:06", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.NHRI_DAM.DB6887.2025", "i18n": { "en": { "title": "The detection and positioning data of hidden cracks in the Goupitan high concrete dam", "ds_format": "*.excel", "ds_source": "
This dataset is obtained using the fluorescence - stimulated UV radiation detection and positioning equipment for hidden cracks in high concrete dams. Drones first observe the initial state of the surface to be stimulated. Then, fluorescent - solution - spraying drones perform spraying. Detection drones radiate UV light and scales on the stimulated surface. Through visible - light imaging, hidden cracks are detected and their relative positions are determined.", "ds_quality": "
When ambient illuminance is between 300 and 1000 lux and the surface of the concrete dam area to be detected is free of large - scale attachments, the detection drone first flies to the area to observe and record the initial state of the dam surface. Then, the spraying drone sprays the area. When the fluorescent solution on the surface can flow freely, the spraying is adequate. After spraying, within 60 seconds, the detection drone performs visible - light imaging under UV radiation and scale radiation, and the distribution data of hidden cracks is obtained from the detection images.", "ds_ref_way": "", "ds_abstract": "
In concrete structures, hidden cracks that grow can foreshadow structural accidents. Detecting these hidden cracks early can help control cracking risks. However, due to the combined effects of their microscopic scale and the macroscopic scale of engineering structures, there is currently a lack of effective methods for detecting hidden cracks in high concrete dams. This study proposes a novel detection method based on the capillary adsorption principle of hidden cracks in concrete. It involves developing a fluorescent solution and using drones equipped with ultraviolet radiation and fluorescence stimulation to detect and locate hidden cracks. The study also introduces a method for interpreting the stimulated forms of hidden cracks and has developed two drone platforms: one for spraying fluorescent solution and stimulation, and the other for ultraviolet radiation and optical imaging detection and positioning. Field tests on the Goupitan high concrete dam have identified hidden cracks as small as 0.01 mm in the spillway gate piers, addressing the industry challenge of efficiently detecting hidden cracks in hard - to - reach areas. This data can support the prevention and control of cracking risks in the Goupitan dam by providing early - warning - level information.
", "ds_time_res": "", "ds_acq_place": " Goupitan high concrete dam", "ds_space_res": "", "ds_projection": "", "ds_process_way": "This data is directly detected by the fluorescence - stimulated UV radiation detection and positioning equipment for hidden cracks in high concrete dams, without needing processing, etc.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "ds_topic_tags": [ "混凝土隐裂缝", "荧光激励", "探测", "定位" ], "ds_subject_tags": [ "工程与技术科学基础学科" ], "ds_class_tags": [], "ds_locus_tags": [ "中国", "贵州省余庆县" ], "ds_time_tags": [ 2024 ], "ds_contributors": [ { "true_name": "贾宇", "email": "yjia@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" }, { "true_name": "王宇琨", "email": "397116331@qq.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "王宇琨", "email": "397116331@qq.com", "work_for": "南京水利科学研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "贾宇", "email": "yjia@nhri.cn", "work_for": "南京水利科学研究院", "country": "中国" } ], "category": "其他" }