Applications in engineering science最新文献_第6页

Integrating generative and parametric design with BIM: A literature review of challenges and research gaps in construction design 将生成式和参数化设计与BIM相结合：建筑设计中的挑战和研究空白的文献综述

IF 2.1 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-07-28 DOI: 10.1016/j.apples.2025.100253

Álmos Á. Semjén , János Szép

Parametric Design (PD), Generative Design (GD), and Building Information Modelling (BIM) have emerged as transformative tools in the construction industry, offering significant potential for design optimisation, interdisciplinary collaboration, and data-driven decision making. This paper presents a comprehensive literature review to evaluate the current state of PD, GD, and BIM integration, highlighting practical applications and identifying research gaps. In addition to mapping the academic discourse, the review also highlights selected practical implementations from existing literature to illustrate how these technologies are being translated into applied workflows. Furthermore, the methodology section critically reflects on the limitations of the keyword-based search strategy and suggests future directions to mitigate potential literature gaps. While many studies demonstrate efficiency gains in early design phases, the integration of these technologies across the full building lifecycle remains limited. Key challenges include insufficient interoperability between platforms, lack of standardisation, and minimal adoption of GD-BIM combinations in construction and logistics. Furthermore, few studies address the regulatory compliance and real-world scalability of AI-assisted generative models. The review concludes that although these digital methods can accelerate innovation and sustainability, their practical implementation requires further research in construction management, code-based automation, and human-in-the-loop design workflows.

参数化设计（PD）、生成式设计（GD）和建筑信息模型（BIM）已经成为建筑行业的变革性工具，为设计优化、跨学科协作和数据驱动决策提供了巨大的潜力。本文介绍了一篇全面的文献综述，以评估PD， GD和BIM集成的现状，突出实际应用并确定研究空白。除了绘制学术论述之外，该综述还强调了从现有文献中选择的实际实现，以说明如何将这些技术转化为应用工作流程。此外，方法论部分批判性地反映了基于关键字的搜索策略的局限性，并提出了未来的方向，以减轻潜在的文献空白。虽然许多研究表明在早期设计阶段就能提高效率，但这些技术在整个建筑生命周期中的集成仍然有限。主要的挑战包括平台之间的互操作性不足，缺乏标准化，以及在建筑和物流中很少采用GD-BIM组合。此外，很少有研究涉及人工智能辅助生成模型的法规遵从性和现实世界的可扩展性。该综述得出结论，尽管这些数字方法可以加速创新和可持续性，但它们的实际实施需要在施工管理、基于代码的自动化和人在环设计工作流程方面进行进一步研究。

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引用次数: 0

Comparison of hydraulic and pneumatic flow in a proportional solenoid valve 比例电磁阀中液压流量与气动流量的比较

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-07-19 DOI: 10.1016/j.apples.2025.100248

Joachim Daehn , Andreas Wierschem , Eberhard Ultsch

In serial testing of hydraulic solenoid valves as part of the manufacturing process, the use of liquid mediums poses various challenges, including inconvenient part handling, frequent exchange of fluids and expensive maintenance of machinery. The present study investigates the feasibility of using gaseous mediums as an alternative for hydraulic testing without compromising established hydraulic testing standards. Using an exemplary 2/2 hydraulic proportional valve, we carried out experiments using both gaseous and liquid mediums. The experimental data indicates a consistent correlation between the two fluids across relevant pressure levels, alongside an accurate reproduction of key variables. Based on these results, a generalized methodology for determining the applicability of pneumatic methods to test similar hydraulic valve types is proposed. Corresponding Computational Fluid Dynamics (CFD) analyses reveal that supersonic velocities occur in the contraction area during pneumatic testing, resembling characteristics often found in supersonic nozzle flows. The simulations further indicate considerable differences in the flow-induced forces among the two fluids in some regions within the flow domain. Nonetheless, critical testing parameters are not affected by these effects, therefore the correlation is preserved.

作为制造过程的一部分，在液压电磁阀的系列测试中，液体介质的使用带来了各种挑战，包括不方便的零件处理，频繁的流体交换和昂贵的机械维护。本研究探讨了使用气体介质作为水力测试的替代方法的可行性，而不影响已建立的水力测试标准。使用示例性的2/2液压比例阀，我们在气体和液体介质中进行了实验。实验数据表明，在相关压力水平上，两种流体之间存在一致的相关性，并精确再现了关键变量。基于这些结果，提出了一种确定气动方法对类似液压阀类型测试适用性的通用方法。相应的计算流体动力学（CFD）分析表明，在气动测试过程中，收缩区出现了超声速，这与超声速喷管流动的特征相似。模拟进一步表明，在流域内的某些区域，两种流体之间的流致力存在相当大的差异。尽管如此，关键的测试参数不受这些影响，因此相关性被保留。

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引用次数: 0

Cutting force prediction in end milling processes: Analytical models and applications 立铣削过程中的切削力预测：分析模型和应用

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-07-08 DOI: 10.1016/j.apples.2025.100250

Nguyen Thi Anh , Tran Thanh Tung

Accurate prediction of cutting forces in milling operations is crucial for optimizing machining performance, ensuring process stability, enhancing surface quality, and extending tool life. This study presents the development and validation of a mechanistic force prediction model tailored for end milling on a 3-axis CNC milling machine (GMS 800). The model incorporates cutter geometry, process parameters, chip thickness variation, and tool engagement to compute instantaneous and average cutting forces in the tangential, radial, and axial directions. Force coefficients were determined experimentally through controlled calibration tests across a range of spindle speeds, feed rates, and milling strategies (up and down milling). The model was validated through comparison with experimental force measurements, showing strong agreement, particularly in the dominant feed (Y) direction. Six different test cases were analyzed to evaluate the model’s accuracy and robustness, with results demonstrating that the predicted forces closely matched the measured data under various conditions. Minor discrepancies observed in the X and Z directions were attributed to unmodeled dynamic effects and tool runout. The model also enabled estimation of cutting torque and power, providing additional insights into machining efficiency. This research contributes a practical and reliable tool for force prediction in CNC milling, which can be used to optimize cutting parameters, minimize tool deflection, and support intelligent process planning. Future work will focus on integrating dynamic effects and real time feedback to enhance adaptability and performance in advanced manufacturing environments.

铣削操作中切削力的准确预测对于优化加工性能、确保工艺稳定性、提高表面质量和延长刀具寿命至关重要。本研究提出了一种针对三轴数控铣床（gms800）端铣的机械力预测模型的开发和验证。该模型结合了刀具几何形状、工艺参数、切屑厚度变化和刀具啮合来计算切向、径向和轴向的瞬时和平均切削力。力系数通过控制校准测试在主轴转速范围内确定，进给速率，铣削策略（上下铣削）。通过与实验力测量值的比较，验证了该模型的正确性，特别是在主进给(Y)方向上。对6个不同的测试用例进行了分析，以评估模型的准确性和鲁棒性，结果表明，在各种条件下，预测的力与实测数据非常吻合。在X和Z方向上观察到的微小差异归因于未建模的动态效应和工具跳动。该模型还可以估计切削扭矩和功率，为加工效率提供额外的见解。该研究提供了一种实用可靠的数控铣削力预测工具，可用于优化切削参数，减少刀具偏转，并支持智能工艺规划。未来的工作将集中于集成动态效果和实时反馈，以增强先进制造环境中的适应性和性能。

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引用次数: 0

Cold metal transfer welding of automotive high strength steel 汽车用高强度钢的冷态金属转移焊接

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-07-07 DOI: 10.1016/j.apples.2025.100249

Tanuj Namboodri, Sahm Alden Abd al al, Raghawendra Pratap Singh Sisodia

The increasing demand for high-strength steels (HSSs) in the automotive industry has prompted concerns about weldability. The welding of HSSs often leads to cold cracking phenomena due to factors such as high carbon equivalents, hydrogen diffusion, etc. Cold metal transfer (CMT) welding is an innovative alternative to conventional gas metal arc welding (GMAW) and offers advantages such as lower heat input (Q), reduced distortion, and lower spatter. However, optimizing CMT parameters for welding HSS joints remains a challenging task. This research aims to optimize CMT welding parameters for HSS DP1000 steel joints with a thickness of 1 mm, employing two different welding speeds (40 cm/min and 50 cm/min). The mechanical properties (microhardness, tensile test with fractography, and bending test) and the microstructural properties were analyzed and compared. Also, a high-speed camera and synchronous electrical signal acquisition device were used to examine droplet transition characteristics. Microstructures in the base material (BM) comprise martensite and ferrite while with higher heat input, the heat-affected zone (HAZ) has coarser microstructures. Overall microhardness results indicated a reduction in values at a welding speed of 50 cm/min compared to 40 cm/min. Tensile strength results demonstrated the higher strength of the joint with a higher welding speed. Moreover, no cracks were detected in the bending test for joints with both welding speeds. Consequently, it can be concluded that samples welded at a speed of 50 cm/min exhibit enhanced mechanical properties.

汽车工业对高强度钢（hss）的需求不断增加，引起了人们对可焊性的关注。由于高碳当量、氢扩散等因素，高速钢的焊接往往会导致冷裂现象。冷金属转移（CMT）焊接是传统气体金属电弧焊（GMAW）的一种创新替代方案，具有低热输入(Q)、减少变形和低飞溅等优点。然而，优化CMT参数对焊接高速钢接头仍然是一个具有挑战性的任务。本研究针对厚度为1 mm的HSS DP1000钢接头，采用40 cm/min和50 cm/min两种不同的焊接速度，对CMT焊接参数进行优化。对其力学性能（显微硬度、断口拉伸试验和弯曲试验）和显微组织性能进行了分析和比较。同时，利用高速摄像机和同步电信号采集装置对液滴跃迁特性进行检测。基材（BM）的显微组织由马氏体和铁素体组成，而当热输入较大时，热影响区（HAZ）的显微组织较粗。总体显微硬度结果表明，与焊接速度为40 cm/min相比，焊接速度为50 cm/min时硬度值有所降低。拉伸强度结果表明，焊接速度越快，接头强度越高。两种焊接速度下的接头弯曲试验均未发现裂纹。因此，可以得出结论，以50 cm/min的速度焊接的样品具有增强的力学性能。

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引用次数: 0

Improved YOLOv5-based multi-crack detection in concrete wall surfaces 改进的基于yolov5的混凝土墙体多裂纹检测

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-29 DOI: 10.1016/j.apples.2025.100247

Remya Elizabeth Philip , Diana Andrushia A , N Anand , Mervin Ealiyas Mathews , M.Z. Naser , Eva Lubloy

In engineering and infrastructure management, it is essential to ensure the safety and longevity of structures. This can be carried out by properly detecting and monitoring surface cracks. From this lens, this paper presents a novel method for identifying surface cracks using the YOLOv5 (You Only Look Once) deep learning architecture to provide real-time object detection capabilities. First, the YOLOv5 was used with predefined hyperparameters to evaluate its pre-trained knowledge in concrete cracking. Then, the YOLOv5 architecture was fine-tuned to accommodate the specific characteristics of surface cracks within concrete structural components. Finally, the model's backbone was replaced with ResNet-50, and its performance was examined. The experiments in this study involved a diverse dataset of surface crack images and aimed to compare the performance of the three approaches in terms of Precision, Recall, and mean Average Precision metrics. Our findings indicate that YOLOv5-based approaches possess good surface crack identification, with the backbone replacement approach demonstrating the potential for improved adaptability to various structural environments. By combining the capabilities of YOLOv5 and the training strategies, the approach enhances the accuracy and reliability of the surface crack detection systems, resulting in the overall safety and durability of critical infrastructure.

在工程和基础设施管理中，保证结构的安全和寿命是必不可少的。这可以通过适当的检测和监测表面裂缝来实现。从这个角度来看，本文提出了一种使用YOLOv5 （You Only Look Once）深度学习架构来识别表面裂缝的新方法，以提供实时对象检测功能。首先，将YOLOv5与预定义的超参数一起使用，以评估其在混凝土开裂中的预训练知识。然后，YOLOv5建筑进行了微调，以适应混凝土结构部件内部表面裂缝的特定特征。最后用ResNet-50替换模型的主干，并对其性能进行了检验。本研究的实验涉及不同的表面裂纹图像数据集，旨在比较三种方法在精度、召回率和平均平均精度指标方面的性能。我们的研究结果表明，基于yolov5的方法具有良好的表面裂纹识别能力，骨干替换方法显示出对各种结构环境的适应性。通过将YOLOv5的能力与训练策略相结合，该方法提高了表面裂纹检测系统的准确性和可靠性，从而提高了关键基础设施的整体安全性和耐久性。

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引用次数: 0

Finite element study of a vertical rotor with tilting pads supported by an elastic structure 弹性结构支撑倾斜盘垂直转子的有限元研究

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-27 DOI: 10.1016/j.apples.2025.100242

Simon Pääjärvi , Gudeta Benti , Jan-Olov Aidanpää , Rolf Gustavsson

Although the dynamics of vertical rotor bearing systems have been studied, the interaction between vertical rotors, bearings, and supporting structures - such as casings, bearing brackets, and foundations, remains less explored. This study presents a combined experimental and numerical investigation of a coupled vertical rotor system, incorporating a nonlinear, speed- and eccentricity-dependent bearing. The novelty lies in the description of a complex, vertical, rotor-bearing-support system incorporating a nonlinear journal bearing model, to capture the effects of the rotor’s vertical orientation, as typical of hydropower applications. The system features an elastic mid-span rotor supported by a flexible tower structure. The four-shoe tilting pad bearings impose significant stiffness variations and nonlinearities, connecting the stationary and rotating components. Modal analysis identifies the critical speeds of the flexible supporting structure, and simulations in the time domain are conducted for various run-up conditions, focusing on the bearing response across the structure’s first two natural frequencies. The results show qualitative and quantitative agreement between the experimental and simulated responses, highlighting the distinct dynamic behaviors of the upper and lower bearings. The bearing response at the structure’s first critical speed is studied and demonstrates improved accuracy during critical conditions. This model builds on established methods to accurately represent vertical rotor dynamics with nonlinear, eccentricity- and speed-dependent bearing models, while extending its applicability to more complex systems by incorporating bearing support flexibility, effectively providing a framework for simulating systems such as complete hydropower units.

虽然垂直转子轴承系统的动力学已经被研究过，但是垂直转子、轴承和支撑结构（如机壳、轴承支架和基础）之间的相互作用仍然很少被探索。本研究提出了一个结合实验和数值研究的耦合垂直转子系统，包括一个非线性，速度和偏心依赖轴承。新颖之处在于描述了一个复杂的，垂直的，转子-轴承-支撑系统，结合非线性轴颈轴承模型，以捕捉转子垂直方向的影响，如典型的水电应用。该系统具有弹性跨中转子，由柔性塔结构支撑。四鞋倾斜垫轴承施加显著的刚度变化和非线性，连接固定和旋转组件。模态分析确定了柔性支撑结构的临界速度，并对各种助跑条件进行了时域仿真，重点研究了结构前两个固有频率上的轴承响应。结果表明，实验响应与模拟响应的定性和定量一致，突出了上下轴承不同的动力行为。研究了结构在第一个临界速度下的轴承响应，并证明了在临界条件下精度的提高。该模型建立在已有方法的基础上，利用非线性、偏心和转速相关的轴承模型精确表示转子垂直动力学，同时通过考虑轴承支撑的灵活性，将其适用性扩展到更复杂的系统，有效地为完整的水电机组等系统的仿真提供了框架。

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引用次数: 0

Solving an inverse problem with four unknown boundary conditions in a lid-driven cavity with heated walls using the levenberg-marquardt method 用levenberg-marquardt方法求解带有加热壁的盖驱动腔中四个未知边界条件的逆问题

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-26 DOI: 10.1016/j.apples.2025.100245

Mojtaba Khosravi, Mohammad Mohammadiun, Hamid Mohammadiun, Mohammad hossein Dibaei bonab, Vali parvaneh

This study investigates the application of the Levenberg-Marquardt method in solving inverse heat transfer problems for a lid-driven cavity with four unknown thermal boundary conditions. The direct problem is solved using computational fluid dynamics (CFD) techniques implemented in OpenFOAM, employing the URANS equations. The numerical framework is first validated against experimental data from literature for a cavity with known boundary conditions. The inverse analysis focuses on simultaneously estimating four wall temperatures using temperature measurements at various sensor locations. The effects of sensor quantity and placement, algorithm parameters (fractional increment and damping coefficient), and measurement noise on the solution accuracy are systematically examined. The algorithm demonstrates robust convergence using a fractional increment of 0.0001 and an initial damping value of 1.0. It also maintains stability and accuracy even when measurement noise reaches up to 10 % of the maximum temperature difference. Under various conditions, the proposed approach consistently converges in approximately 12 iterations, confirming its effectiveness for simultaneously estimating multiple thermal boundary conditions in enclosed cavities. This study contributes to the development of reliable inverse methods for industrial applications involving natural convection in temperature-controlled chambers.

本文研究了Levenberg-Marquardt方法在求解具有四种未知热边界条件的盖驱动腔的反传热问题中的应用。直接的问题是使用OpenFOAM中实现的计算流体动力学（CFD）技术，采用URANS方程来解决的。数值框架首先通过文献中已知边界条件的空腔实验数据进行验证。逆分析的重点是利用不同传感器位置的温度测量同时估计四壁温度。系统地考察了传感器数量和位置、算法参数（分数增量和阻尼系数）和测量噪声对求解精度的影响。该算法使用分数增量0.0001和初始阻尼值1.0证明了鲁棒收敛性。即使测量噪声达到最大温差的10%，它也能保持稳定性和准确性。在各种条件下，所提出的方法在大约12次迭代中始终收敛，证实了其同时估计封闭腔内多个热边界条件的有效性。这项研究有助于开发可靠的逆方法，用于工业应用，涉及温控室中的自然对流。

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引用次数: 0

Shrinkage properties of steel fiber reinforced concrete- A review 钢纤维混凝土的收缩性能综述

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-25 DOI: 10.1016/j.apples.2025.100244

Mohammad Abedi , Terje Kanstad , Stefan Jacobsen , Guomin Ji

Cracks induced by concrete shrinkage may allow corrosive agents to penetrate steel reinforced concrete and deteriorate the reinforcement. Adding randomly distributed steel fiber to concrete can reduce shrinkage and prevent the initiation of cracking, along with improving tensile strength and ductility. Autogenous shrinkage and drying shrinkage are the most important types of shrinkage in steel fiber reinforced concrete (SFRC). There is a general lack of knowledge related to the autogenous and drying shrinkage of SFRC. In the paper, the main factors that affect the autogenous shrinkage and drying shrinkage of SFRC are thoroughly examined through literature review. These factors include fiber volume, fiber geometry, curing method, water binder ratio (w/b), expansive agent, shrinkage mitigation, supplementary cementitious material (SCM), admixtures and hybridizing different fiber materials. It is concluded that increasing fiber volume up to some optimal volume, using expansive agents and shrinkage mitigation, as well as hybridizing different fibers, can reduce markedly the drying shrinkage. Furthermore, the water binder ratio, curing method and presence of silica fume, fly ash, and ground granulated blast furnace slag (GGBFS) influence shrinkage development in SFRC. In the last part, models predicting the autogenous and drying shrinkage of SFRC are discussed and new research is proposed.

混凝土收缩引起的裂缝可能使腐蚀剂渗入钢筋混凝土并使钢筋劣化。在混凝土中加入随机分布的钢纤维，可以减小收缩，防止开裂，提高抗拉强度和延性。自收缩和干燥收缩是钢纤维混凝土中最主要的收缩形式。人们普遍缺乏与SFRC自收缩和干燥收缩有关的知识。本文通过文献综述，对影响SFRC自收缩和干燥收缩的主要因素进行了深入研究。这些因素包括纤维体积、纤维几何形状、养护方法、水胶比（w/b）、膨胀剂、减缩剂、补充胶凝材料（SCM）、外加剂和不同纤维材料的杂交。综上所述，将纤维体积增加到一定的最佳体积，使用膨胀剂和减缩剂，以及不同纤维的杂交，可以显著降低纤维的干燥收缩率。此外，水胶比、养护方式以及硅灰、粉煤灰和磨粒高炉渣（GGBFS）的存在都会影响SFRC的收缩发展。最后，讨论了SFRC自收缩和干燥收缩的预测模型，并提出了新的研究方向。

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引用次数: 0

Neural network-based metamodel for scaffolding behavior: Application for structural load analysis and safety enhancement 基于神经网络的脚手架行为元模型：在结构荷载分析和安全性增强中的应用

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-21 DOI: 10.1016/j.apples.2025.100240

Mohamad Al Omari , Mojtaba Eslahi , Rani El Meouche , Amine Ammar , Laure Ducoulombier , Laurent Guillaumat

Scaffolding safety remains a critical challenge in construction, contributing significantly to site accidents and injuries. This study addresses the issue by developing a metamodel to simulate scaffolding behavior under dynamic loads, such as wind and worker activities, to prevent failure and enhance structural reliability. A finite element model (FEM) was developed to analyze 30,000 scenarios, significantly reducing the time required for structural assessments. To optimize efficiency further, a neural network was trained to accurately predict scaffolding responses, achieving an impressive R

^{2}

value of 0.9996, thus minimizing reliance on time-intensive FEM simulations. While not a full digital twin implementation, this research establishes a strong foundation for integrating such technology in the future. By demonstrating the potential of metamodeling for improving safety and efficiency, the study offers valuable insights for advancing digital solutions in construction safety and sets the stage for further exploration of digital twin systems in the industry.

脚手架的安全是施工中的一大难题，是造成现场事故和伤害的重要因素。本研究通过开发一个元模型来模拟脚手架在动态载荷（如风和工人活动）下的行为，以防止破坏并提高结构的可靠性。开发了一个有限元模型（FEM）来分析30,000种情况，大大减少了结构评估所需的时间。为了进一步优化效率，我们训练了一个神经网络来准确预测脚手架响应，R2值达到了令人印象深刻的0.9996，从而最大限度地减少了对时间密集型FEM模拟的依赖。虽然不是一个完整的数字孪生实现，但这项研究为未来集成此类技术奠定了坚实的基础。通过展示元模型在提高安全和效率方面的潜力，该研究为推进建筑安全的数字解决方案提供了有价值的见解，并为行业中进一步探索数字孪生系统奠定了基础。

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引用次数: 0

Phenomenological–based strategy for the Gurson-Tvergaard-Needleman model parameters identification Gurson-Tvergaard-Needleman模型参数辨识的现象学策略

IF 2.2 Q2 ENGINEERING, MULTIDISCIPLINARY

Applications in engineering science

Pub Date : 2025-06-20 DOI: 10.1016/j.apples.2025.100243

R. Bensaada , A. Imad , T. Kanit , A. EL Moumen , M. Almansba , A. Saouab

The Gurson–Tvergaard–Needleman GTN model is widely used for ductile fracture simulations. However, the selection of its parameters is often done randomly to reproduce the experimental data without considering the physical consistency of the set of parameters selected. This contribution is dedicated to the relevance of the GTN model parameters selection using a consistent method based on the ductile fracture phenomenology.

The proposed method consists of the prioritization of the void volume fraction parameters in accordance with the kinetics of the ductile fracture phenomenon, while the nucleation and fracture parameters are chosen in conformity to the strength to fracture. Experimental data obtained from 12NC6 steel is used through various tests. Axisymmetric notched and compact tension specimens are used. The interest of the use of this variety of tests lies in the variation of stress triaxiality ratio given its widely proven importance in the ductile fracture process. The strategy is finally applied to a CT (Compact-Tension) test simulation. Satisfactory result are achieved while the number of attempts to reproduce the experimental data is considerably reduced, this lead to considerable saving of computational time.

Gurson-Tvergaard-Needleman GTN模型广泛用于韧性断裂模拟。然而，其参数的选择往往是随机的，以再现实验数据，而不考虑所选参数集的物理一致性。这一贡献致力于使用基于韧性断裂现象学的一致方法选择GTN模型参数的相关性。提出的方法是根据韧性断裂现象的动力学来优选孔隙体积分数参数，而根据断裂强度来选择成核和断裂参数。实验数据来源于12NC6钢，通过各种试验得到。采用轴对称缺口和压实拉伸试样。鉴于应力三轴比在韧性断裂过程中的重要性已被广泛证实，使用各种试验的兴趣在于应力三轴比的变化。最后将该策略应用于CT （Compact-Tension）试验仿真。在得到满意结果的同时，大大减少了再现实验数据的尝试次数，从而大大节省了计算时间。

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引用次数: 0