{
    "created": "2025-06-13 10:29:34",
    "updated": "2026-05-06 08:10:25",
    "id": "fdea3b55-ac0f-4944-80ae-dd19b8abb0bf",
    "version": 0,
    "ds_topic": null,
    "title_cn": "隔河岩高混凝土坝裂缝深度检测数据",
    "title_en": "Crack depth detection data of Geheyan high concrete dam",
    "ds_abstract": "<p>&emsp;&emsp;混凝土裂缝深度是表征开裂危害性的标志性指标，准确探明裂缝深度对于预防开裂事故至关重要。然而，在裂缝大深宽比特殊结构形式制约下，目前尚缺乏在工程中准确探明裂缝深度的技术方法。本研究提出将裂缝尖端形态的直接探测转化为裂尖指示剂标记体探测的构思，自研高介电性强流动性专用液态指示剂，定制指示剂灌注装置与特定频率雷达天线，通过指示剂灌注过程中的雷达可视化示踪探测，实现裂缝尖端位置的准确界定。通过自研检测技术在隔河岩高混凝土坝坝顶准确检测出了结构体内部的裂缝深度，解决了目前工程结构中混凝土裂缝深度难以准确检测的行业难题。该数据可为隔河岩大坝开裂危害性评价防控提供数据支持。",
    "ds_source": "<p>&emsp;&emsp;本数据是基于混凝土裂缝深度指示剂示踪雷达检测技术装备，通过灌注装置向裂缝深度灌注专用液态指示剂，灌注过程中基于对应适配频率的雷达天线可视化跟踪指示剂的灌注过程，当指示剂抵达裂缝尖端时，再次基于雷达波探测裂缝尖端位置，确定裂缝深度的方法获得。",
    "ds_process_way": "<p>&emsp;&emsp;本数据为通过高混凝土坝裂缝深度指示剂示踪雷达检测技术装备直接检测获得，无需加工等。",
    "ds_quality": "<p>&emsp;&emsp;当裂缝表面宽度小于0.1mm，且裂缝深度预估小于40cm时，选用Ⅰ型指示剂，并配套2.6GHz雷达检测。当裂缝表面宽度介于0.1~0.2mm之间，且裂缝深度预估小于100cm时，选用Ⅱ型指示剂，并配套900NHz雷达检测。当裂缝表面宽度大于0.2mm，且裂缝深度预估大于100cm时，选用Ⅲ型指示剂，并配套400NHz雷达检测。检测过程中，通过灌注装置将指示剂灌入裂缝深部尖端，灌注过程中使用雷达天线辐射雷达波可视化灌注过程；当指示剂到达裂缝深度尖端时，再次辐射雷达波探明裂缝尖端位置，进而界定裂缝深度。",
    "ds_acq_start_time": "2023-08-07 00:00:00",
    "ds_acq_end_time": "2023-08-12 00:00:00",
    "ds_acq_place": "隔河岩高混凝土坝",
    "ds_acq_lon_east": 111.82,
    "ds_acq_lat_south": 30.279999999999998,
    "ds_acq_lon_west": 111.82,
    "ds_acq_lat_north": 30.279999999999998,
    "ds_acq_alt_low": null,
    "ds_acq_alt_high": null,
    "ds_share_type": "login-access",
    "ds_total_size": 5426751,
    "ds_files_count": 2,
    "ds_format": "*.excel",
    "ds_space_res": null,
    "ds_time_res": "",
    "ds_coordinate": "WGS84",
    "ds_projection": "",
    "ds_thumbnail": "fdea3b55-ac0f-4944-80ae-dd19b8abb0bf.png",
    "ds_thumb_from": 0,
    "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": 0,
    "publish_time": "2025-06-27 10:01:52",
    "last_updated": "2025-07-03 15:45:01",
    "protected": false,
    "protected_to": null,
    "lang": "zh",
    "cstr": "11738.11.NCDC.NHRI_DAM.DB6884.2025",
    "i18n": {
        "en": {
            "title": "Crack depth detection data of Geheyan high concrete dam",
            "ds_format": "*.excel",
            "ds_source": "<p>&emsp;&emsp;This dataset is obtained using radar - based detection equipment with concrete crack depth indicators. During the process, liquid indicators are injected into cracks via an injection device. Radar antennas with matching frequencies visually track the injection. When the indicator reaches the crack tip, radar waves locate it to determine the crack depth.",
            "ds_quality": "<p>&emsp;&emsp;For cracks with a surface width < 0.1 mm and an estimated depth < 40 cm, use Type I indicator with 2.6 GHz radar detection. For widths of 0.1 - 0.2 mm and depths < 100 cm, use Type II indicator with 900 MHz radar. For widths > 0.2 mm and depths > 100 cm, use Type III indicator with 400 MHz radar. During testing, inject the indicator into the crack's deep tip via an injection device. Use radar antenna radiation to visualize the injection process. When the indicator reaches the crack tip, radiate radar waves again to locate it and determine the crack depth.",
            "ds_ref_way": "",
            "ds_abstract": "<p>  In concrete structures, hidden cracks can foreshadow structural accidents as they grow. 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 Gehayan high concrete dam have identified hidden cracks as small as 0.01 mm in the sidewall and the road bridge, 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 Gehayan dam by providing early warning information.</p>",
            "ds_time_res": "",
            "ds_acq_place": " Gehayan high concrete dam",
            "ds_space_res": "",
            "ds_projection": "",
            "ds_process_way": "<p>&emsp;&emsp;This dataset is directly obtained using the radar - based detection equipment for concrete crack depth indicators in high concrete dams, without the need for processing.",
            "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,
    "is_paper_in_submitting": false,
    "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",
        "湖北省长阳县"
    ],
    "ds_time_tags": [
        2023
    ],
    "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": "王玉磊",
            "email": "1490822976@qq.com",
            "work_for": "南京水利科学研究院",
            "country": "中国"
        }
    ],
    "ds_meta_authors": [
        {
            "true_name": "王玉磊",
            "email": "1490822976@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"
}