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Catenary mechanism in steel columns under extreme lateral loading: A basis for building progressive collapse analysis 极端侧向荷载下钢柱的导柱机制:建筑物渐进式倒塌分析的基础
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-19 DOI: 10.1016/j.dibe.2024.100556
Foad Kiakojouri, Valerio De Biagi
The studies on progressive collapse have primarily focused on threat-independent methods, wherein a sudden column removal is suggested in codes. However, a real collapse scenario is necessarily threat-dependent. Focusing on blast- and impact-induced progressive collapses, the current study considers cases in which damage is concentrated in a single member, without resulting in complete column loss. It is demonstrated that the progressive collapse performance under specific threats can be better or worse compared to that of sudden column removal. Thus, dynamic column removal does not necessarily guarantee the most critical scenario, as the response in a damaged system can sometimes exceed expectations. A simple analytical model is proposed to describe in detail the observed phenomena and emphasizes the development of catenary forces in the column under lateral extreme loading scenarios. The results provide a deeper insight into the progressive collapse performance of frame systems and the involved member-level resisting mechanisms.
对渐进式坍塌的研究主要集中在与威胁无关的方法上,即在规范中建议突然移除支柱。然而,实际的倒塌情况必然与威胁有关。当前的研究侧重于爆炸和冲击引起的渐进式坍塌,考虑了损坏集中在单个构件上,但不会导致支柱完全损失的情况。研究表明,与突然移除支柱相比,在特定威胁下的渐进式坍塌性能可能更好,也可能更差。因此,动态移除支柱并不一定能保证最危急的情况,因为受损系统的响应有时会超出预期。本文提出了一个简单的分析模型来详细描述所观察到的现象,并强调了在横向极端加载情况下支柱中猫尾力的发展。研究结果有助于深入了解框架系统的渐进式坍塌性能以及所涉及的构件级抵抗机制。
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引用次数: 0
Experimental investigation on reducing the interface adhesion of concrete and formwork via electroosmosis approach 通过电渗法减少混凝土和模板界面粘附力的实验研究
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-18 DOI: 10.1016/j.dibe.2024.100561
Jinhui Yang , Shaojun Fu , Yi Yang , Kekuo Yuan , Zhengyong Zhang , Qiang Gao
Slipform construction is widely used for building deep-buried vertical and inclined shaft concrete linings due to its efficiency and cost advantages. The adhesion of the interface during demoulding is crucial for the efficiency and quality of slip form construction. In this paper, a novel approach is proposed to reduce the adhesion between concrete and formwork based on electroosmotic technology. A self-designed concrete electroosmotic demoulding device was developed to simulate the electroosmotic slip-form construction of the shaft lining. The variations in parameters such as current and permeability during electroosmosis were analyzed, and the impact of electroosmotic parameters on the adhesion and demoulding quality of concrete was investigated. The results indicate that the electroosmotic method can significantly reduce the adhesion. Concrete demoulding defects are significantly reduced and smoother after electroosmotic treatment. This study provides a scientific basis and technical support for optimizing concrete construction demoulding technology.
滑模施工因其效率和成本优势,被广泛用于建造深埋竖井和斜井混凝土衬砌。脱模过程中界面的附着力对滑模施工的效率和质量至关重要。本文提出了一种基于电渗技术的降低混凝土与模板之间粘附力的新方法。开发了一种自行设计的混凝土电渗脱模装置,用于模拟竖井衬砌的电渗滑模施工。分析了电渗过程中电流和渗透率等参数的变化,研究了电渗参数对混凝土附着力和脱模质量的影响。结果表明,电渗法能显著降低附着力。经电渗处理后,混凝土脱模缺陷明显减少,且更加光滑。这项研究为优化混凝土施工脱模技术提供了科学依据和技术支持。
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引用次数: 0
Improving construction site efficiency through automated progress monitoring of underground pipe installation sites using image color analysis of iPhone LiDAR camera data 利用 iPhone LiDAR 相机数据的图像颜色分析,对地下管道安装现场进行自动进度监测,从而提高施工现场效率
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-18 DOI: 10.1016/j.dibe.2024.100557
Tsukasa Mizutani, Shunsuke Iwai
This study presents an innovative method utilizing smartphone for automated progress monitoring at underground pipe installation sites. Leveraging the LiDAR iPhone camera, the method captures detailed point cloud data of construction sites. Sophisticated color analysis of images accurately distinguishes between areas with and without pipes within excavations. Key aspects of the proposed workflow include segmentation of the excavation area, differentiation between main and side excavations, and application of an earth color mask in the RGB space to isolate pipes. The research focuses on enhancing measurement precision for excavation width, depth, and pipe burial depth, significantly reducing the manual labor traditionally required at construction sites, thereby offering an efficient and cost-effective solution. We further demonstrated the robustness of the proposed algorithm by applying it to two types of data acquired at actual construction sites. This approach is expected to contribute significantly to the digital transformation in the construction industry.
本研究介绍了一种利用智能手机自动监测地下管道安装现场进度的创新方法。利用 LiDAR iPhone 摄像头,该方法可捕捉施工现场的详细点云数据。通过对图像进行复杂的色彩分析,可准确区分挖掘区内有管道和无管道的区域。建议工作流程的关键方面包括挖掘区域的分割、主挖掘和侧挖掘的区分,以及在 RGB 空间中应用大地颜色掩膜来隔离管道。研究的重点是提高挖掘宽度、深度和管道埋深的测量精度,大幅减少施工现场传统上所需的人工劳动,从而提供高效、经济的解决方案。我们将所提出的算法应用于在实际施工现场获取的两类数据,进一步证明了该算法的稳健性。这种方法有望为建筑行业的数字化转型做出重大贡献。
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引用次数: 0
Grain-size composition effect on flexural response and pore structure of cementitious tail-rock fills with fiber reinforcement 粒度组成对纤维加固水泥基尾岩填料挠曲响应和孔隙结构的影响
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-18 DOI: 10.1016/j.dibe.2024.100558
Hao Qin , Shuai Cao , Erol Yilmaz
This paper explores the grain-size composition effect on flexural and micro-structural features of fiber reinforced cementitious tail-rock fill (FRCTRF). The FRCTRF mixes considered contained a stationary solid concentration of 70 wt% and a cement/tail rate of 1:6, and were cured for an age of 7-day for strength tests and microstructure. Three-point bending test shows that FRCTRF’s bending property is upgraded by totaling gravel rock. Adding fiber to FRCTRF’s bottom can enhance its peak deflection. With rising gravel particle size/dosage, FRCTRF’s peak deflection displays a trend of falling first and then growing. Accumulating polypropylene fiber could advance FRCTRF’s post-peak strength features as well. FRCTRF sample containing gravel has a large stress drop, and adding gravel rock could essentially boost FRCTRF’s post-peak brittle-ability. In conclusion, this study provides a strong scientific and theoretical underpinning for optimizing artificial false roofs employed recently in modern underground metalliferous mining operations.
本文探讨了粒度组成对纤维增强水泥基尾石填料(FRCTRF)抗弯和微观结构特征的影响。所考虑的 FRCTRF 混合料的固定固体浓度为 70 wt%,水泥/尾石比率为 1:6,并在 7 天的固化龄期内进行强度测试和微观结构测试。三点弯曲测试表明,FRCTRF 的弯曲性能通过添加碎石而得到改善。在 FRCTRF 的底部添加纤维可提高其峰值挠度。随着砾石粒径/用量的增加,FRCTRF 的峰值挠度呈先降后升的趋势。聚丙烯纤维的累积也可提高 FRCTRF 的后峰值强度。含有砾石的 FRCTRF 样品应力下降较大,添加砾石可从根本上提高 FRCTRF 的峰后脆性。总之,这项研究为优化最近在现代地下冶金采矿作业中使用的人工假顶提供了强有力的科学和理论依据。
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引用次数: 0
Vibration monitoring of masonry bridges to assess damage under changing temperature 对砌体桥梁进行振动监测,以评估温度变化下的损坏情况
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-17 DOI: 10.1016/j.dibe.2024.100555
Paolo Borlenghi, Antonella Saisi, Carmelo Gentile
Structural Health Monitoring (SHM) is of utmost importance for the preservation and safe operation of historical arch bridges. This paper presents the development of a SHM strategy aimed at the model-based damage assessment of masonry bridges using frequency data. Structural damage induces natural frequency changes that are strictly related to the damage location. Consequently, a numerical model capable of reproducing the intact dynamic characteristics should allow to simulate damage scenarios, including the observed one, with the anomaly localisation being performed through the similarity between the experimentally detected frequency changes and the numerically simulated ones. The proposed methodology is based on the availability of an appropriate knowledge of the investigated structure, allowing to define a Finite Element (FE) model that accurately reproduces the system dynamic characteristics. Hence, the SHM strategy involves: (a) the use of the calibrated model to simulate different damage scenarios, so that a Damage Location Reference Matrix (DLRM) is defined through the associated frequency shifts; (b) the damage detection through statistical pattern recognition of vibration data; (c) the damage localisation through the comparison between the identified frequency changes and those defined in the DLRM matrix. Pseudo-experimental monitoring data, referring to a historical masonry viaduct, were generated and used to exemplify the reliability and accuracy of the developed algorithms in detecting and localizing damage.
结构健康监测(SHM)对于历史性拱桥的保护和安全运营至关重要。本文介绍了一种 SHM 策略的开发情况,该策略旨在利用频率数据对圬工结构桥梁进行基于模型的损坏评估。结构损伤引起的固有频率变化与损伤位置密切相关。因此,能够再现完整动态特性的数值模型应能够模拟包括观测到的损坏情况,并通过实验检测到的频率变化与数值模拟的频率变化之间的相似性进行异常定位。所建议的方法基于对所调查结构的适当了解,从而可以定义一个能准确再现系统动态特性的有限元(FE)模型。因此,SHM 策略包括:(a) 使用校准模型模拟不同的损坏情况,从而通过相关的频率变化定义损坏位置参考矩阵(DLRM);(b) 通过振动数据的统计模式识别进行损坏检测;(c) 通过比较识别的频率变化和 DLRM 矩阵中定义的频率变化进行损坏定位。针对一座历史悠久的砌体高架桥,生成并使用了伪实验监测数据,以证明所开发算法在检测和定位损坏方面的可靠性和准确性。
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引用次数: 0
Upcycling of waste rubber using pelletized artificial geopolymer aggregate technology 利用粒状人工土工聚合物骨料技术实现废橡胶的升级再循环
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-10 DOI: 10.1016/j.dibe.2024.100554
Hui Wang , Lan-Ping Qian , Ling-Yu Xu , Yi Li , Hong Guan
The utilization of waste rubber as aggregates shows both environmentally friendly features and high cost-efficiency in construction, but may cause poor workability such as rubber flotation and agglomeration. To address the above issues, the pelletization method was adopted to produce rubberized artificial geopolymer aggregates (R-GPA), and the effects of different rubber modification methods and rubber contents were investigated through pelletization technologies, mechanical tests, X-ray computed tomography (XCT) and backscattered electron with energy-dispersive spectroscopy (BSE-EDS). Results showed that the combined modification with NaOH solution and silane coupling agent presented the most effective surface modification efficiency. According to microscopic analysis, rubber modification could effectively enhance the rubber-matrix interface. The produced R-GPA could thus possess an oven-dried particle density within 1500–1800 kg/m³, a water absorption of 7%–10.5%, and a pelletization efficiency over 98%, which provided a new insight into the value-added utilization of waste rubber and the promotion of artificial aggregate technologies.
利用废橡胶作为骨料既具有环保特性,又具有较高的建筑成本效益,但可能会导致橡胶浮选和结块等不良作业性。针对上述问题,本文采用造粒法生产橡胶人造土工聚合物骨料(R-GPA),并通过造粒技术、力学测试、X射线计算机断层扫描(XCT)和背散射电子能谱(BSE-EDS)研究了不同橡胶改性方法和橡胶含量的影响。结果表明,使用 NaOH 溶液和硅烷偶联剂进行联合改性的表面改性效率最高。显微分析显示,橡胶改性能有效增强橡胶与基体的界面。因此,制得的 R-GPA 烘干颗粒密度在 1500-1800 kg/m³ 范围内,吸水率为 7%-10.5%,造粒效率超过 98%,为废橡胶的增值利用和人工骨料技术的推广提供了新的思路。
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引用次数: 0
Sustainable pavement maintenance and rehabilitation planning using the quantum cognitive trust network 利用量子认知信任网络进行可持续路面维护和修复规划
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-06 DOI: 10.1016/j.dibe.2024.100553
Xunqian Xu , Siwen Wang , Zhongbao Du , Hui Rong , Qi Li , Tao Wu , Shue Li , Jiefei Zheng
Selecting appropriate pavement maintenance strategies can enhance resource efficiency, reduce environmental pollution, prolong road lifespan, and improve societal sustainability. Currently, most models, which selecting pavement maintenance options, exhibit high subjectivity and low reliability. This study employs an innovative probabilistic linguistic multi-attribute decision-making model basing on the quantum cognitive theory. Therefore, the model focuses on expert decision-making groups for pavement maintenance strategies. It considers the trust networks within the decision-making process, as well as the sequential and interference effects arising from experts' belief biases and behavioral interactions. By doing so, it facilitates a more scientific selection of optimal strategies among multiple maintenance options. The proposed method has been validated through practical case studies of road segments, and its scientific validity and effectiveness have been further corroborated through sensitivity analysis.
选择适当的路面养护策略可以提高资源利用效率、减少环境污染、延长道路使用寿命并改善社会的可持续发展。目前,大多数选择路面养护方案的模型都表现出主观性强、可靠性低的特点。本研究采用了一种基于量子认知理论的创新型概率语言多属性决策模型。因此,该模型侧重于路面养护战略的专家决策群体。该模型考虑了决策过程中的信任网络,以及专家的信念偏差和行为互动所产生的序列效应和干扰效应。因此,它有助于在多个维护方案中更科学地选择最优策略。所提出的方法已通过路段的实际案例研究得到验证,并通过敏感性分析进一步证实了其科学性和有效性。
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引用次数: 0
Mechanical and microstructural properties of cement-stabilized soft clay improved by sand replacement and biochar additive for subgrade applications 水泥稳定软粘土的力学和微观结构特性:通过砂替代和生物炭添加剂改善路基应用
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-05 DOI: 10.1016/j.dibe.2024.100552
Kittipong Kunchariyakun , Patimapon Sukmak , Gampanart Sukmak , Veena Phunpeng , Suksun Horpibulsuk , Arul Arulrajah , Annan Zhou
Biochar (BC) is an eco-friendly material produced through coal pyrolysis and can improve the mechanical properties of cement-based construction and building materials. This research study explored the effects of BC and natural sand (Sand) replacement on the improved static and cyclic response of blended hydraulic cement (BHC) stabilized soft clay (SC) as a greener subgrade material. Unconfined compressive strength (UCS), indirect tensile stress (ITS), and indirect tensile fatigue life (ITFL) of the BHC-stabilized SC-BC-Sand samples were examined. Adding 10% BC to the BHC-stabilized samples was found to enhance cementitious products due to its porous structure and high water absorbability. The UCS, ITS and ITFL at this optimum ingredient were improved up to 315%, 347% and 862%, respectively, compared to the BHC-stabilized SC. Fourier transform infrared spectrometer, thermogravimetry differential thermal analysis and a scanning electron microscope with energy-dispersive -ray spectroscopy analyses the BHC-stabilized sample at the optimum ingredient showed the highest C-S-H and Ca(OH)2 in the pores. This investigation will encourage the utilization of BC to create both environmentally friendly and durable stabilized subgrade material.
生物炭(BC)是一种通过煤热解产生的环保材料,可以改善水泥基建筑和建材的机械性能。本研究探讨了生物炭和天然砂(沙)替代物对改善作为绿色路基材料的掺合水硬性水泥(BHC)稳定软粘土(SC)的静态和循环响应的影响。研究考察了 BHC 稳定 SC-BC-Sand 样品的无侧限抗压强度(UCS)、间接拉伸应力(ITS)和间接拉伸疲劳寿命(ITFL)。研究发现,由于多孔结构和高吸水性,在 BHC 稳定样品中添加 10% BC 可增强胶凝产品的性能。与 BHC 稳定的 SC 相比,该最佳成分的 UCS、ITS 和 ITFL 分别提高了 315%、347% 和 862%。傅立叶变换红外光谱仪、热重分析仪差热分析和扫描电子显微镜与能量色散射线光谱分析表明,最佳配料的 BHC 稳定样品孔隙中的 C-S-H 和 Ca(OH)2 含量最高。这项调查将鼓励利用 BC 来制造既环保又耐用的稳定基层材料。
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引用次数: 0
Embodied carbon of BIM bridge models according to the application of off-site prefabrication: Precast concrete applied to superstructure and substructure 根据场外预制的应用情况确定 BIM 桥梁模型的含碳量:应用于上部结构和下部结构的预制混凝土
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-01 DOI: 10.1016/j.dibe.2024.100550
Hyunsik Kim , Seungjun Roh , Jeonghwan Kim
Embodied carbon (EC) changes of bridges using PC and RC, were analyzed using BIM and One-Click LCA. Identically shaped, concrete bridges (RC, PC, superstructure-only PC, and substructure-only PC) were modeled; the bills of quantity were extracted and input into the LCA software for EC comparison. As a result, it was found that applying PC instead of RC is not necessarily a guaranteed method to reduce the EC of bridges. Sensitivity analysis on the EC according to concrete waste and material transportation distances of all models were conducted. References from a carbon perspective were presented for applying PC separately to superstructure and substructure. As a result, solutions for the application of PC were derived considering the changes in concrete waste and transportation distance of concrete inputs. Conclusively, it was analyzed that substructure-only PC is effective in reducing EC overall, regardless of the amount of concrete waste and transportation distance of inputs.
使用 BIM 和一键式生命周期评估分析了使用 PC 和 RC 的桥梁的内蕴碳(EC)变化。对形状相同的混凝土桥梁(RC、PC、纯上部结构 PC 和纯下部结构 PC)进行建模;提取工程量清单并输入生命周期评估软件,以进行 EC 比较。结果发现,用 PC 代替 RC 不一定能保证降低桥梁的 EC。根据所有模型的混凝土废料和材料运输距离,对 EC 进行了敏感性分析。从碳的角度提出了将 PC 分别应用于上部结构和下部结构的参考方案。因此,考虑到混凝土废料和混凝土投入品运输距离的变化,得出了应用 PC 的解决方案。最后,分析结果表明,无论混凝土废料的数量和投入物的运输距离如何,仅下部结构 PC 可有效减少整体的碳排放量。
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引用次数: 0
Automatic bridge inspection database construction through hybrid information extraction and large language models 通过混合信息提取和大型语言模型自动构建桥梁检测数据库
IF 6.2 2区 工程技术 Q1 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2024-10-01 DOI: 10.1016/j.dibe.2024.100549
Chenhong Zhang , Xiaoming Lei , Ye Xia , Limin Sun
Regular bridge inspections generate extensive reports that, while critical for maintenance, often remain underutilized due to their unstructured format. Traditional information extraction methods depend on intricate labeling systems that commonly require time-consuming and labor-intensive labeling. This paper presents a novel bridge inspection database construction method leveraging LLM-assisted information extraction. First, we introduce the pseudo-labelling method using a closed-source LLM to generate high-quality data. Then we propose the hybrid extraction pipeline to extract relevant information segments and process them by a generation-based IE model, fine-tuned on pseudo-labeled data. Finally, the extracted data is used to construct the bridge inspection database. The proposed method, validated with real-world data, not only demonstrates higher extraction precision than the closed-source LLM used for pseudo-labeling but also outperforms traditional methods in both data preparation time and extraction accuracy. This approach provides a scalable solution for more proactive and data-driven bridge maintenance strategies.
定期桥梁检测会产生大量报告,这些报告虽然对维护工作至关重要,但由于格式不规范,往往得不到充分利用。传统的信息提取方法依赖于复杂的标注系统,通常需要耗时耗力的标注工作。本文提出了一种利用 LLM 辅助信息提取的新型桥梁检测数据库构建方法。首先,我们介绍了使用闭源 LLM 生成高质量数据的伪标注方法。然后,我们提出了混合提取管道,以提取相关信息片段,并通过基于生成的 IE 模型对其进行处理,该模型在伪标记数据上进行了微调。最后,提取的数据被用于构建桥梁检测数据库。所提出的方法经过实际数据验证,不仅比用于伪标记的闭源 LLM 具有更高的提取精度,而且在数据准备时间和提取精度方面都优于传统方法。这种方法为更加积极主动和数据驱动的桥梁维护战略提供了可扩展的解决方案。
{"title":"Automatic bridge inspection database construction through hybrid information extraction and large language models","authors":"Chenhong Zhang ,&nbsp;Xiaoming Lei ,&nbsp;Ye Xia ,&nbsp;Limin Sun","doi":"10.1016/j.dibe.2024.100549","DOIUrl":"10.1016/j.dibe.2024.100549","url":null,"abstract":"<div><div>Regular bridge inspections generate extensive reports that, while critical for maintenance, often remain underutilized due to their unstructured format. Traditional information extraction methods depend on intricate labeling systems that commonly require time-consuming and labor-intensive labeling. This paper presents a novel bridge inspection database construction method leveraging LLM-assisted information extraction. First, we introduce the pseudo-labelling method using a closed-source LLM to generate high-quality data. Then we propose the hybrid extraction pipeline to extract relevant information segments and process them by a generation-based IE model, fine-tuned on pseudo-labeled data. Finally, the extracted data is used to construct the bridge inspection database. The proposed method, validated with real-world data, not only demonstrates higher extraction precision than the closed-source LLM used for pseudo-labeling but also outperforms traditional methods in both data preparation time and extraction accuracy. This approach provides a scalable solution for more proactive and data-driven bridge maintenance strategies.</div></div>","PeriodicalId":34137,"journal":{"name":"Developments in the Built Environment","volume":"20 ","pages":"Article 100549"},"PeriodicalIF":6.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142427567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Developments in the Built Environment
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