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A comparative study of geosynthetically reinforced earth foundations in multi-utility transportation infrastructure for high-speed railways 高速铁路多用途交通基础设施中土工合成加固地基的比较研究
IF 3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-22 DOI: 10.3389/fbuil.2023.1301722
Pranjal Mandhaniya, Anish Kumar Soni, Kirti Choudhary, Abdullah Ansari
A high-quality railway track resting on an excellent foundation is required to support high-speed railway transportation. The foundations of high-speed railway tracks are generally constructed on the lifted embankment with the improved ground using different reinforcement agents like geosynthetics and rigid lateral support. The present study performed dynamic finite element simulations on a ballasted rail track laid over a geosynthetically reinforced embankment with and without facing wall support. Three foundation geometries were analyzed to examine the effect of facing wall support and geosynthetics on the lateral resistance of the foundation. An area loaded with a constant pressure was moved at a constant speed, causing the load motion at different speeds in the 90–360 km/h range. Different parameters were calculated at node paths to help understand the lateral effect of moving load. The results showed that the lateral resistance based on nodal acceleration and velocity increased with facing wall support in the range of 40%–57%. Any increment over the minimum facing wall thickness of 300 mm does not significantly increase lateral resistance. Geosynthetics provided a vital function in the foundations with a less bulk volume of soil and increased the lateral resistance by 10%.
要支持高速铁路运输,就必须在良好的地基上铺设高质量的铁路轨道。高速铁路轨道的地基一般是在抬高的路堤上建造的,并使用不同的加固材料,如土工合成材料和刚性侧向支撑。本研究对铺设在土工合成材料加固路堤上的有砟轨道进行了动态有限元模拟,包括有无面墙支撑。对三种地基几何形状进行了分析,以研究面墙支撑和土工合成材料对地基侧向阻力的影响。加载恒定压力的区域以恒定速度移动,导致荷载以 90-360 km/h 的不同速度运动。计算了节点路径上的不同参数,以帮助了解移动荷载的横向效应。结果显示,基于节点加速度和速度的侧向阻力随着面墙支撑的增加而增加,范围在 40%-57% 之间。超过最小面墙厚度 300 毫米的任何增量都不会显著增加侧向阻力。土工合成材料在土壤容积较小的地基中发挥了重要作用,并使侧向阻力增加了 10%。
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引用次数: 0
Statistical assessment of the wave loads at walls through two-phase CFD modeling of the effects of air compressibility 通过对空气可压缩性影响进行两相 CFD 建模,对墙壁上的波浪载荷进行统计评估
IF 3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-15 DOI: 10.3389/fbuil.2023.1282459
Sara Mizar Formentin, Giuseppina Palma, Juan Carlos Alcérreca Huerta, B. Zanuttigh
The modeling of wave impacts against coastal structures requires the analysis of hundreds or thousands of waves to be statistically meaningful. Long irregular wave attacks, when affordable, can be performed experimentally, but may be inadequate to track the air entrapment and account for air compressibility, which, instead, plays a key role in the wave impacts. On the other hand, long simulations are generally avoided in numerical modeling for computational effort and numerical stability reasons, even more so when two-phase flows and air compressibility are involved. In such a context, this paper presents, for the first time, the application of a plug-in suite developed in the OpenFOAM® environment to the representation of long time series of irregular waves impacting against coastal defenses while solving two compressible fluids. To this purpose, such a plug-in compressible suite was applied to reproduce recent 2D experiments of wave overtopping and wave impacts at smooth dikes with crown walls. The numerical stability of the compressible solver and its adequacy to accurately reproduce the wave reflection and the wave overtopping are first verified by comparing the numerical results with the laboratory tests. Second, the improved representation of the wave pressures and wave forces at the walls obtained with the plug-in compressible suite is shown by comparing its results with the corresponding ones obtained with the incompressible solver. Specifically, the plug-in suite—accounting for the effects of the air compressibility during the impact events—outperforms the incompressible native solver in the capture of the pressure peaks, in the reproduction of the time–pressure trace, and in the statistical analysis of the pressure distribution along the crown wall.
要模拟波浪对沿岸结构的影响,需要对数百或数千个波浪进行分析,才能在统计上有 意义。在经济条件允许的情况下,可以在实验中进行长时间的不规则波浪冲击,但这可能不足以 跟踪空气夹带和考虑空气的可压缩性,而空气的可压缩性在波浪冲击中起着关键作用。另一方面,出于计算量和数值稳定性的考虑,数值建模通常避免长时间模拟,当涉及两相流和空气可压缩性时更是如此。在这种情况下,本文首次介绍了在 OpenFOAM® 环境中开发的插件套件在求解两种可压缩流体的同时,应用于表示冲击海岸防御工事的不规则波浪的长时间序列。为此,应用这种可压缩插件套件重现了最近在带冠状墙的光滑堤坝上进行的波浪冲顶和波浪冲击的二维实验。首先,通过将数值结果与实验室测试结果进行比较,验证了可压缩求解器的数值稳定性及其是否足以准确再现波浪反射和波浪倾覆。其次,通过将插件式可压缩求解器的结果与不可压缩求解器的相应结果进行比较,证明了插件式可压缩求解器改进了波浪压力和波浪力在波浪壁上的表现形式。具体来说,考虑到撞击过程中空气可压缩性的影响,插件套件在压力峰值的捕捉、时间-压力轨迹的再现以及沿冠壁压力分布的统计分析方面都优于不可压缩的本地求解器。
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引用次数: 0
Editorial: Energy dissipation devices and vibration-control systems for structures and infrastructures to mitigate damages under different hazards 社论:用于结构和基础设施的消能装置和振动控制系统,以减轻不同灾害下的损失
IF 3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-15 DOI: 10.3389/fbuil.2023.1328920
Michele Palermo, F. Ponzo, Dora Foti, Fabio Mazza, I. Takewaki, Paolo Castaldo
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引用次数: 0
Assessing the impact of ventilation systems on indoor air quality: a mock-up experiment in Dubai 评估通风系统对室内空气质量的影响:迪拜的一个模拟实验
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-13 DOI: 10.3389/fbuil.2023.1286053
Chuloh Jung, Gamal El Samanoudy, Nahla Alqassimi, Mohamed Sherzad
Indoor Air Quality (IAQ) has become an important concern in Dubai, driven by public health awareness, environmental regulations, and government initiatives. The Dubai Municipality has introduced guidelines and standards for IAQ in residential and non-residential buildings, emphasizing ventilation, material selection, and testing protocols. IAQ monitoring and testing are encouraged, and public awareness campaigns educate individuals about IAQ and its impact on health. Green building regulations in Dubai also address IAQ considerations. The Dubai Municipality has comprehensively assessed IAQ in public buildings, leading to stringent regulations. However, research on IAQ improvement and challenges associated with apartment ventilation systems is limited. This study aims to evaluate the IAQ improvement and potential issues of a ventilation system in an apartment through a mock-up experiment. Factors such as air volume, ventilation system type, and supply/exhaust duct configuration are analyzed. The results show that installing a ventilation device with a ventilation rate of 0.3–0.8 times/h reduces Formaldehyde (HCHO) and Volatile Organic Compounds (VOCs) concentrations by 30%–50%. The IAQ improvement is not significantly influenced by air volume. Each room supply/exhaust method shows a 10% higher reduction in VOC concentrations than the supply/kitchen exhaust unit method. Preventing backflow and addressing cold drafts are recommended during ventilation system installation. Noise measurements comply with standards in most cases. These findings contribute to developing guidelines for ventilation system design and installation in apartments, promoting healthier indoor environments. Further research with a broader range of ventilation devices and real-world conditions is recommended to validate these findings.
在公众健康意识、环境法规和政府举措的推动下,室内空气质量(IAQ)已成为迪拜的一个重要问题。迪拜市政府推出了住宅和非住宅建筑的室内空气质量指南和标准,强调通风、材料选择和测试协议。鼓励对室内空气质量进行监测和测试,并开展提高公众认识运动,教育个人了解室内空气质量及其对健康的影响。迪拜的绿色建筑法规也解决了室内空气质量问题。迪拜市政府对公共建筑的室内空气质量进行了全面评估,从而制定了严格的规定。然而,对室内空气质量的改善和与公寓通风系统相关的挑战的研究是有限的。本研究旨在通过模拟实验,评估通风系统对公寓室内空气质量的改善和潜在问题。分析了风量、通风系统类型和送风/排风管道配置等因素。结果表明,安装通风装置,通风次数为0.3 ~ 0.8次/h,可使室内甲醛(HCHO)和挥发性有机物(VOCs)浓度降低30% ~ 50%。空气量对室内空气质量的改善影响不大。每个房间的供气/排风方法都比供气/厨房排风装置方法能多减少10%的VOC浓度。通风系统安装时,建议注意防回流和处理冷气流。在大多数情况下,噪音测量都符合标准。这些发现有助于制定公寓通风系统设计和安装指南,促进更健康的室内环境。建议进一步研究更广泛的通风装置和实际条件,以验证这些发现。
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引用次数: 0
YOLO-LHD: an enhanced lightweight approach for helmet wearing detection in industrial environments YOLO-LHD:用于工业环境中头盔佩戴检测的增强轻量级方法
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-10 DOI: 10.3389/fbuil.2023.1288445
Lianhua Hu, Jiaqi Ren
Establishing a lightweight yet high-precision object detection algorithm is paramount for accurately assessing workers’ helmet-wearing status in intricate industrial settings. Helmet detection is inherently challenging due to factors like the diminutive target size, intricate backgrounds, and the need to strike a balance between model compactness and detection accuracy. In this paper, we propose YOLO-LHD (You Only Look Once-Lightweight Helmet Detection), an efficient framework built upon the YOLOv8 object detection model. The proposed approach enhances the model’s ability to detect small targets in complex scenes by incorporating the Coordinate attention mechanism and Focal loss function, which introduce high-resolution features and large-scale detection heads. Additionally, we integrate the improved Ghostv2 module into the backbone feature extraction network to further improve the balance between model accuracy and size. We evaluated our method on MHWD dataset established in this study and compared it with the baseline model YOLOv8n. The proposed YOLO-LHD model achieved a reduction of 66.1% in model size while attaining the best 94.3% mAP50 with only 0.86M parameters. This demonstrates the effectiveness of the proposed approach in achieving lightweight deployment and high-precision helmet detection.
建立一种轻量级但高精度的目标检测算法对于在复杂的工业环境中准确评估工人的头盔佩戴状态至关重要。由于目标尺寸小、背景复杂以及需要在模型紧凑性和检测精度之间取得平衡等因素,头盔检测本身就具有挑战性。在本文中,我们提出了YOLO-LHD (You Only Look Once-Lightweight Helmet Detection),这是一个建立在YOLOv8目标检测模型之上的高效框架。该方法结合了坐标注意机制和焦点损失函数,引入了高分辨率特征和大尺度检测头,增强了模型对复杂场景下小目标的检测能力。此外,我们将改进的Ghostv2模块集成到骨干特征提取网络中,进一步提高了模型精度和尺寸之间的平衡。我们在本研究建立的MHWD数据集上评估了我们的方法,并将其与基线模型YOLOv8n进行了比较。所提出的YOLO-LHD模型在模型尺寸减小66.1%的同时,仅使用0.86M个参数即可获得最佳的94.3% mAP50。这证明了该方法在实现轻量化部署和高精度头盔检测方面的有效性。
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引用次数: 0
Editorial: Energy-based seismic engineering 社论:基于能量的地震工程
IF 3 Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-10 DOI: 10.3389/fbuil.2023.1327561
Fabrizio Mollaioli, A. Benavent‐Climent, I. Takewaki
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引用次数: 0
Numerical modeling and validation of earthquake soil structure interaction: a 12-story building in Ventura, California 地震-土-结构相互作用的数值模拟与验证:加州文图拉一座12层建筑
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-09 DOI: 10.3389/fbuil.2023.1249550
Han Yang, Hexiang Wang, Boris Jeremić
Presented is a validation study for high fidelity numerical modeling of earthquake soil structure interaction (ESSI) for a building, hotel structure in Ventura, California. A detailed finite element (FE) model of the ESSI system, featuring the 12-story concrete structure, pile group foundation, and underlying soil, is developed using the Real-ESSI Simulator (Jeremić et al., The Real-ESSI Simulator System 1988–2022, 2022a). The domain reduction method (DRM) (Bielak et al., Bulletin of the Seismological Society of America, 2003, 93(2), 817–824; Yoshimura et al., Bulletin of the Seismological Society of America, 2003, 93(2), 825–841) is used to apply seismic loads, in this case the 1994 Northridge earthquake motions. Direct comparison between simulation results and California Strong Motion Instrumentation Program (CSMIP) recordings shows a high level of agreement in acceleration and displacement responses at all instrumented locations. Sensitivity study on a number of modeling choices and analysis parameters is conducted to investigate controlling factors for the ESSI response. For example, the soil-structure interaction effect and structural damping ratios are shown to have significant influence on system dynamic response. In addition, the soil inelasticity is shown to be highly influenced by the magnitude of seismic motion. Both effects are important for validation as they contribute to sensitivity of response to parametric variability.
本文介绍了加利福尼亚州文图拉市一座建筑、酒店结构的地震-土-结构相互作用(ESSI)高保真数值模拟的验证研究。使用Real-ESSI模拟器(jeremiki et al., the Real-ESSI Simulator system 1988-2022, 2022a)开发了ESSI系统的详细有限元(FE)模型,包括12层混凝土结构、桩群基础和下垫土。区域缩减法(DRM) (Bielak et al.,美国地震学报,2003,93(2),817-824;Yoshimura et al.,美国地震学会公报,2003,93(2),825-841)被用来应用地震荷载,在这种情况下,1994年北岭地震运动。模拟结果与加州强震仪器程序(CSMIP)记录的直接比较显示,所有仪器位置的加速度和位移响应高度一致。对一些模型选择和分析参数进行敏感性研究,以探讨ESSI响应的控制因素。例如,土-结构相互作用效应和结构阻尼比对系统动力响应有显著影响。此外,地震运动的震级对土体的非弹性有很大的影响。这两种效应对于验证都很重要,因为它们有助于对参数变异性响应的敏感性。
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引用次数: 0
Design for and from disassembly with timber elements: strategies based on two case studies from Switzerland 用木材元素进行拆卸的设计:基于瑞士两个案例研究的策略
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-09 DOI: 10.3389/fbuil.2023.1307632
Cäsar Grüter, Matthew Gordon, Marcel Muster, Fabian Kastner, Philippe Grönquist, Andrea Frangi, Silke Langenberg, Catherine De Wolf
When a timber building gets disassembled and its elements either are burned or biodegrade, the carbon stored in the timber structure gets released to the atmosphere as CO 2 . Reusing timber elements prevents this process from happening and thus delays the global warming caused by greenhouse gas emissions. Even if there is a long historic tradition of timber reuse in Switzerland, currently a low fraction of a timber building’s elements is being reused after its disassembly. In this study, strategies that could facilitate circular use of timber elements are analyzed. The focus lies on the design process, which is investigated from two perspectives: strategies at the start-of-life of buildings to enable new timber element cycles to emerge (design for disassembly, or DforD), and strategies at the end-of-life of buildings to keep existing timber elements cycles closed (design from disassembly, or DfromD). Two case studies of recently completed multi-story timber-hybrid buildings in Switzerland were analyzed from both perspectives. Regarding DforD, a scoring system was developed that assesses single elements according to their disassembly and reuse potential. Regarding DfromD, a building design optimization tool was created that takes dimensional design tolerances of a building as an input and proposes a procurement-optimized and structurally safe arrangement of reused elements, which are taken from an inventory that is based on the two case studies. It was found that connections between reinforced concrete and timber parts play a crucial role in terms of DforD and that building layouts with DfromD elements may vary widely according to the chosen optimization variable. In conclusion, both applications have the potential to scale up the competitiveness of reused elements.
当木结构建筑被拆解,其组成部分被燃烧或生物降解时,储存在木结构中的碳以二氧化碳的形式释放到大气中。木材元素的再利用防止了这一过程的发生,从而延缓了由温室气体排放引起的全球变暖。尽管瑞士的木材再利用有着悠久的历史传统,但目前木质建筑在拆卸后被再利用的比例很低。在本研究中,分析了促进木材元素循环使用的策略。重点在于设计过程,从两个角度进行调查:在建筑生命周期开始时的策略,使新的木材元素周期出现(设计为拆卸,或DforD),以及在建筑生命周期结束时的策略,以保持现有的木材元素周期关闭(设计从拆卸,或dfrommd)。从这两个角度分析了瑞士最近完成的多层木材混合建筑的两个案例研究。关于DforD,开发了一个评分系统,根据单个元素的拆卸和重用潜力来评估它们。关于DfromD,创建了一个建筑设计优化工具,该工具将建筑的尺寸设计公差作为输入,并提出了采购优化和结构安全的可重用元素安排,这些元素来自基于两个案例研究的库存。研究发现,钢筋混凝土和木材部件之间的连接在DforD方面起着至关重要的作用,并且根据所选择的优化变量,具有dfrommd元素的建筑布局可能会有很大的不同。总之,这两个应用程序都有可能扩大重用元素的竞争力。
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引用次数: 0
Modeling relation among implementing AI-based drones and sustainable construction project success 实施人工智能无人机与可持续建设项目成功的建模关系
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-11-02 DOI: 10.3389/fbuil.2023.1208807
Ahsan Waqar, Idris Othman, Nadhim Hamah Sor, Abdullah Mohammed Alshehri, Hamad R. Almujibah, Badr Saad Alotaibi, Mohammed Awad Abuhussain, Abdulrahman S. Bageis, Fadi Althoey, Saleh Hayat, Omrane Benjeddou, Saleh Hamed Alsulamy, Mishal Aljarbou
Project failure is a persistent challenge in the construction industry, rendering it one of the most demanding sectors. Many obstacles, including safety concerns, quality management issues, environmental preservation challenges, economic sustainability, privacy constraints, and legal regulations, weigh heavily on construction projects. However, a beacon of hope emerges in AI-powered drones capable of surmounting these challenges and paving the path to resounding project success. This study employed diverse methodologies, engaging subject-matter experts through interviews and conducting pilot and primary surveys. Our analytical arsenal featured Exploratory Factor Analysis (EFA) for the pilot survey and Structural Equation Modelling (SEM) for the primary survey. Our research revolves around a singular mission: elevating building project success by dismantling the barriers that have impeded the widespread adoption of AI-driven drones in construction. The study’s verdict is clear: privacy and legal constraints, coupled with economic and sustainability challenges, alongside human resource management dilemmas, constitute the formidable triumvirate obstructing the ubiquitous embrace of drones in construction. Yet, the impact of breaching these barriers reverberates far beyond overcoming these hurdles. It cascades into public health and safety, environmental conservation, quality management, and economic sustainability, culminating in an amalgam of enhanced Building Project Success. The implications of our findings are profound for the construction industry. They beckon the sector to confront and surmount the legal and regulatory barriers to adopting AI-based drones. A clarion call to invest in human resources to empower technology integration resounds. And, perhaps most importantly, it beckons the industry to embrace the profound economic and sustainability advantages of embracing these cutting-edge technologies. Furthermore, our study underscores that adopting AI-powered drones in construction is not merely about project success; it catalyzes fostering public health, safeguarding the environment, ensuring top-tier quality management, and fortifying economic sustainability. These interwoven facets illuminate the broader canvas of drone technology’s transformative role in construction.
在建筑行业,项目失败是一个持续的挑战,使其成为最苛刻的行业之一。许多障碍,包括安全问题、质量管理问题、环境保护挑战、经济可持续性、隐私限制和法律法规,都严重影响着建设项目。然而,人工智能驱动的无人机出现了希望的灯塔,能够克服这些挑战,为项目的巨大成功铺平道路。这项研究采用了多种方法,通过访谈和进行试点和初步调查,吸引了主题专家。我们的分析工具包括探索性因子分析(EFA)用于试点调查和结构方程建模(SEM)用于初级调查。我们的研究围绕着一个单一的使命:通过消除阻碍人工智能无人机在建筑中广泛应用的障碍,提高建筑项目的成功率。这项研究的结论很明确:隐私和法律约束,加上经济和可持续性挑战,再加上人力资源管理困境,构成了阻碍无人机在建筑业无处不在的三大因素。然而,打破这些障碍所产生的影响远远超出了克服这些障碍的范围。它涉及公共卫生和安全、环境保护、质量管理和经济可持续性,最终促进了建筑项目的成功。我们的发现对建筑行业的影响是深远的。他们呼吁该行业面对并克服采用基于人工智能的无人机的法律和监管障碍。投资人力资源以增强技术整合能力的号角响起。而且,也许最重要的是,它召唤着行业接受这些尖端技术带来的深刻的经济和可持续性优势。此外,我们的研究强调,在建筑中采用人工智能无人机不仅与项目成功有关;它有助于促进公共卫生、保护环境、确保一流的质量管理和加强经济可持续性。这些相互交织的方面照亮了无人机技术在建筑中的变革作用的更广阔的画布。
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引用次数: 0
Efficient two-step procedure for parameter identification and uncertainty assessment in model updating problems 模型更新问题中参数辨识与不确定性评估的两步法
Q2 CONSTRUCTION & BUILDING TECHNOLOGY Pub Date : 2023-10-26 DOI: 10.3389/fbuil.2023.1272252
Michele Tondi, Marco Bovo, Loris Vincenzi
The model updating procedures employed in vibration-based health monitoring need to be reliable and computationally efficient. The computational time is a fundamental task if the results are used to evaluate, in quasi-real-time, the safe or the unsafe state of strategic and relevant structures. The paper presents an efficient two-step procedure for the identification of the mechanical parameters and for the assessment of the corresponding uncertainty in model updating problems. The first step solves a least squares problem, providing a first estimate of the unknown parameters. The second (iterative) step produces a refinement of the solution. Moreover, by exploiting the error propagation theory, this article presents a direct (non-iterative) procedure to assess the uncertainty affecting the unknown parameters starting from the experimental data covariance matrix. To test the reliability of the procedure as well as to prove its applicability to structural problems, the methodology has been applied to two test-bed case studies. Finally, the procedure has been used for the damage assessment in an existing building. The results provided in this article indicate that the procedure can accurately identify the unknown parameters and properly localize and quantify the damage.
基于振动的健康监测中采用的模型更新过程需要可靠且计算效率高。计算时间是一项基本任务,如果结果用于评估,在准实时,安全或不安全的战略和相关结构的状态。本文提出了一种有效的两步法,用于模型更新问题中力学参数的识别和相应不确定性的评估。第一步解决最小二乘问题,提供未知参数的第一个估计。第二步(迭代)产生解决方案的细化。此外,利用误差传播理论,本文提出了一种直接(非迭代)的方法来评估影响未知参数的不确定性,从实验数据协方差矩阵开始。为了测试该程序的可靠性,并证明其对结构问题的适用性,该方法已应用于两个试验台案例研究。最后,将该方法应用于某既有建筑的损伤评估。结果表明,该方法能准确识别未知参数,并能较好地对损伤进行定位和量化。
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引用次数: 0
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