不同应力状态下地铁隧道衬砌高强混凝土应力应变及破裂声发射数据集

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Hongliang Tu , Zhiming Han , Zhiwei Wang , Peipei Chen , Guangchang Yang
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引用次数: 0

摘要

地铁隧道支护结构的维护是保证城市轨道交通安全高效运行的关键。在复杂的应力条件下(包括拉伸、压缩、剪切、扭转),地铁隧道衬砌容易受到各种形式的破坏,如开裂、剥落、分段错位和漏水。这些问题对隧道的安全和使用寿命提出了重大挑战。为了解决这些工程问题并促进相关的科学研究,本文建立了一个新的数据集,捕获了不同应力状态下地铁隧道衬砌高强混凝土的应力-应变行为和破裂声发射(AE)特征。数据集的采集采用了先进的设备,包括MTS815.04(力学测试系统)、声发射传感器、应力应变传感器和高分辨率相机。为地铁隧道施工及混凝土材料的科学研究提供了宝贵的资源。该数据集包括衬砌开裂图像、衬砌混凝土的应力-应变数据、混凝土损伤图像以及损伤过程中的声发射数据。它为地铁隧道衬砌安全评估、混凝土材料性能和本构模型以及深度学习研究等多个研究领域提供了宝贵的资源。并对每幅图像和每组实验数据进行了详细的标注,为相关科学研究提供了准确的基础数据支持。讨论了数据收集过程,强调了地铁隧道施工的重要性,并强调了数据集在隧道衬砌安全分析和混凝土材料性能研究方面的潜在应用。鼓励研究界利用该数据集推进与地铁隧道建设和新材料开发相关的前沿研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stress-strain and fracture acoustic emission dataset of high-strength concrete for metro tunnel lining under different stress states
The maintenance of metro tunnel support structures is crucial for ensuring the safe and efficient operation of urban rail transit. Under complex stress conditions (including tension, compression, shear, torsion), metro tunnel linings are susceptible to various forms of damage, such as cracking, spalling, segment misalignment, and water leakage. These issues pose substantial challenges to tunnel safety and service life. To address these engineering problems and facilitate related scientific research, this paper presents a novel dataset capturing the stress-strain behavior and fracture acoustic emission (AE) characteristics of high-strength concrete used in metro tunnel linings under different stress states. The dataset was acquired using advanced equipment, including the MTS815.04 (Mechanics Testing System), AE sensors, stress-strain sensors, and high-resolution cameras. It provides valuable resources for scientific research on metro tunnel construction and concrete materials. The dataset includes images of lining cracking, stress-strain data of lining concrete, images of concrete damage, and acoustic emission data during the damage process. It serves as a valuable asset for multiple research domains, including safety assessment of metro tunnel linings, concrete material properties and constitutive models, and deep learning study. Detailed annotations for each image and each set of experimental data are also provided to ensure accurate basic data support for relevant scientific research. Additionally, the data collection process is discussed, the importance of metro tunnel construction is emphasized, and the dataset’s potential applications in analyzing tunnel lining safety and researching concrete material performance are highlighted. The research community is encouraged to utilize this dataset to advance the cutting-edge studies related to metro tunnel construction and new material development.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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