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Selective serotonin re-uptake inhibitor sertraline inhibits bone healing in a calvarial defect model 被引量:5
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作者 R.Nicole Howie Samuel Herberg +6 位作者 Emily Durham Zachary Grey Grace Bennfors Mohammed Elsalanty Amanda C.LaRue William D.Hill James J.Cray 《International Journal of Oral Science》 SCIE CAS CSCD 2018年第4期212-222,共11页
Bone wound healing is a highly dynamic and precisely controlled process through which damaged bone undergoes repair and complete regeneration. External factors can alter this process, leading to delayed or failed bone... Bone wound healing is a highly dynamic and precisely controlled process through which damaged bone undergoes repair and complete regeneration. External factors can alter this process, leading to delayed or failed bone wound healing. The findings of recent studies suggest that the use of selective serotonin reuptake inhibitors(SSRIs) can reduce bone mass, precipitate osteoporotic fractures and increase the rate of dental implant failure. With 10% of Americans prescribed antidepressants, the potential of SSRIs to impair bone healing may adversely affect millions of patients’ ability to heal after sustaining trauma. Here, we investigate the effect of the SSRI sertraline on bone healing through pre-treatment with(10 mg·kg-1sertraline in drinking water, n = 26) or without(control, n = 30) SSRI followed by the creation of a 5-mm calvarial defect. Animals were randomized into three surgical groups:(a) empty/sham,(b) implanted with a DermaMatrix scaffold soak-loaded with sterile PBS or(c) DermaMatrix soak-loaded with542.5 ng BMP2. SSRI exposure continued until sacrifice in the exposed groups at 4 weeks after surgery. Sertraline exposure resulted in decreased bone healing with significant decreases in trabecular thickness, trabecular number and osteoclast dysfunction while significantly increasing mature collagen fiber formation. These findings indicate that sertraline exposure can impair bone wound healing through disruption of bone repair and regeneration while promoting or defaulting to scar formation within the defect site. 展开更多
关键词 Selective serotonin re-uptake inhibitor sertraline inhibits bone healing in a calvarial defect model
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Yield Modeling of Rectangular Defect Outline 被引量:1
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作者 王俊平 郝跃 《Journal of Semiconductors》 EI CAS CSCD 北大核心 2005年第8期1514-1518,共5页
In integrated circuits, the defects associated with photolithography are assumed to be in the shape of circular discs in order to perform the estimation of yield and fault analysis. However,real defects exhibit a grea... In integrated circuits, the defects associated with photolithography are assumed to be in the shape of circular discs in order to perform the estimation of yield and fault analysis. However,real defects exhibit a great variety of shapes. In this paper,a novel yield model is presented and the critical area model of short circuit is correspondingly provided. In comparison with the circular model corrently available, the new model takes the similarity shape to an original defect, the two-dimensional distributional characteristic of defects, the feature of a layout routing and the character of yield estimation into account. As for the aspect of prediction of yield, the experimental results show that the new model may predict the yield caused by real defects more accurately than the circular model does. It is significant that the yield is accurately estimated and improved using the proposed model. 展开更多
关键词 real defect rectangular defect model critical area yield modeling
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A grain boundary defect model for ZnO ceramic varistors by deep heat treatment
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作者 陈志雄 林国淙 +1 位作者 付刚 唐大海 《Science China Mathematics》 SCIE 1998年第1期71-78,共8页
Studies on ZnO ceramic varistors by deep heat treatment at 650–900 C are reported. The current creep time curve exhibits a peak during the continuous action of a dc biasing voltage; the forwardV-l characteristic is i... Studies on ZnO ceramic varistors by deep heat treatment at 650–900 C are reported. The current creep time curve exhibits a peak during the continuous action of a dc biasing voltage; the forwardV-l characteristic is improved rather than degraded after the action of the biasing voltage. We assume that the zinc interstitial cations Zni are out diffused rapidly and the concentration of Zni in the depletion layer is decreased rapidly during deep heat treatment; the oxygen anions O’o could be accumulated at the grain interface if the out diffusion quantity of Zni is not enough to react with the O’o; the current creep phenomenon above results from the migration of the interface O’o by the biasing voltage. We suggest an improved grain boundary defect model for the ZnO varistors by deep heat treatment, and examine the model using the experimental data of lifetime positron-annihilation spectroscopy. 展开更多
关键词 ZNO CERAMIC VARISTOR heat treatment grain boundary defect model current creep POSITRON annihilation.
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Accurate 3D Reconstruction of Subject-Specific Knee Finite Element Model to Simulate the Articular Cartilage Defects 被引量:8
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作者 董跃福 胡广洪 +3 位作者 张罗莲 胡杨 董英海 徐卿荣 《Journal of Shanghai Jiaotong university(Science)》 EI 2011年第5期620-627,共8页
The biomechanical relationship between the articular cartilage defect and knee osteoarthritis (OA) has not been clearly defined. This study presents a 3D knee finite element model (FEM) to determine the effect of cart... The biomechanical relationship between the articular cartilage defect and knee osteoarthritis (OA) has not been clearly defined. This study presents a 3D knee finite element model (FEM) to determine the effect of cartilage defects on the stress distribution around the defect rim. The complete knee FEM, which includes bones, articular cartilages, menisci and ligaments, is developed from computed tomography and magnetic resonance images. This FEM then is validated and used to simulate femoral cartilage defects. Based on the obtained results, it is confirmed that the 3D knee FEM is reconstructed with high-fidelity level and can faithfully predict the knee contact behavior. Cartilage defects drastically affect the stress distribution on articular cartilages. When the defect size was smaller than 1.00cm2, the stress elevation and redistribution were found undistinguishable. However, significant stress elevation and redistribution were detected due to the large defect sizes ( 1.00cm2). This alteration of stress distribution has important implications relating to the progression of cartilage defect to OA in the human knee joint. 展开更多
关键词 3D reconstruction knee joint finite element model (FEM) cartilage defect osteoarthritis (OA)
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Software Residual defects Prediction Model based on BBNs
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作者 Zheng,Cuifang Wu, Zhijie Xia,Tao Zhang,Weiyan 《微计算机信息》 北大核心 2006年第01X期272-274,共3页
The importance of software residual defects and some prediction residual defects models are introduced. The problem that is not easy adapted to a general model is discussed. The model of prediction residual defects ba... The importance of software residual defects and some prediction residual defects models are introduced. The problem that is not easy adapted to a general model is discussed. The model of prediction residual defects based on BBNs is proposed and the detailed processes of the approach are given. 展开更多
关键词 软件缺陷 残差 BBNs 预测模型
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A Grain Boundary Defect Model for ZnO Ceramic Varistors by Deep Heat Treatment
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作者 陈志雄 林国淙 +1 位作者 付刚 唐大海 《广州师院学报(自然科学版)》 1998年第11期47-55,共9页
TheleakagecurentofZnOvaristorwithexcelentlynonlinearvoltageampere(V-I)characteristicsincreasesgradualyundert... TheleakagecurentofZnOvaristorwithexcelentlynonlinearvoltageampere(V-I)characteristicsincreasesgradualyunderthelongdurationl... 展开更多
关键词 氧化锌压敏陶瓷 高温 晶界缺陷模型
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Model Tests of Pile Defect Detection
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作者 Li Guocheng Wang Jingtao School of Civil Engineering , Huazhong University of Science and Technology , Wuhan 430074 《Journal of China University of Geosciences》 SCIE CSCD 2001年第4期321-324,共4页
The pile, as an important foundation style, is being used in engineering practice. Defects of different types and damages of different degrees easily occur during the process of pile construction. So, dietecting defec... The pile, as an important foundation style, is being used in engineering practice. Defects of different types and damages of different degrees easily occur during the process of pile construction. So, dietecting defects of the pile is very important. As so far, there are some difficult problems in pile defect detection. Based on stress wave theory, some of these typical difficult problems were studied through model tests. The analyses of the test results are carried out and some significant results of the low-strain method are obtained, when a pile has a gradually-decreasing crosssection part, the amplitude of the reflective signal originating from the defect is dependent on the decreasing value of the rate of crosssection β. No apparent signal reflected from the necking appeares on the velocity response curve when the value of β is less than about 3. 5 %. 展开更多
关键词 model tests pile defect detection stress wave responses.
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Prediction of shear-related defect locations in semi-solid casting using numerical flow models 被引量:1
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作者 F.PINEAU G.D'AMOURS 《中国有色金属学会会刊:英文版》 CSCD 2010年第S3期878-882,共5页
Contaminated surfaces of the feedstock materials in aluminum alloy casting processes often produce various types of defects which can affect the tensile properties of the final products as well as their fatigue reliab... Contaminated surfaces of the feedstock materials in aluminum alloy casting processes often produce various types of defects which can affect the tensile properties of the final products as well as their fatigue reliabilities.Semi-solid processing takes advantage of a much higher apparent viscosity of the die cast materials by limiting the risk of oxides formed at the free surfaces to become incorporated into the casting when the material is injected into the die.Most of existing semi-solid processes that use billets as feedstock material are however tied up with a different type of contaminated surface.During the injection phase,the external-skin on the periphery of the billet,which has been in contact with air and lubricant during the transfer in the shot sleeve,can be incorporated into the casting.When subjected to a heat treatment,the lubricant is decomposed and produces lens shape porosities.This might be a cause of reject for most structural parts.To avoid this kind of defects,the paths along which the billet skin evolves must be controlled during filling.In order to investigate the possibility of skin inclusion into cast parts during injection of the billet,a two-phase finite element mixture model is employed to model the metal flow.The formation of a skin on the periphery of the billet is modeled by setting an initial solid phase concentration profile in the radial direction.Microscopic observations of the real castings show that the approach is able to model the shear layers and to predict the paths along which the"lens porosity"defects could be formed.An Arbitrary Eulerian-Lagangian(ALE) method is also investigated and appears to be very promising to follow the skin movement in the casting. 展开更多
关键词 oxide SKIN defects TWO-PHASE flow finite element modeling ARBITRARY Eulerian-Lagangian(ALE) method
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A Mathematical Model for Predicting Shrinkage Defect of Ductile Iron Castings
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作者 ZhiqiangHan Junyi Su Kaike Cai Metallurgy School, University of Science and Technology Beijing, Beijing 100083, China Xi’an Jiaotong University, Xi’an 710049, China 《International Journal of Minerals,Metallurgy and Materials》 SCIE EI CAS CSCD 2000年第1期24-29,共6页
The shrinkage defect of a ductile iron casting is attributed to the volume variations occurring in solidification, which consist of liquid contraction, solidification shrinkage, graphitization expansion, and mold cavi... The shrinkage defect of a ductile iron casting is attributed to the volume variations occurring in solidification, which consist of liquid contraction, solidification shrinkage, graphitization expansion, and mold cavity enlargement. Based on this understanding, a mathematical model for predicting the shrinkage defect of the casting is developed, in which the volume variations of the casting in soli- dification are numerically simulated, especially, the mold cavity enlargement is quantitatively calculated. Moreover, the reliability of the model is verified in production and experiment. 展开更多
关键词 ductile iron casting shrinkage defect mold cavity enlargement mathematical model
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基于改进RT-DETR的井盖病害轻量化检测算法
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作者 孟志永 吴晨曦 +4 位作者 王鹏 张明 张秀清 杨云飞 张龙龙 《计算机工程与应用》 北大核心 2026年第4期238-249,共12页
针对井盖病害检测任务中检测精度和轻量化难以平衡的问题,提出一种基于改进RT-DETR-R18的井盖病害检测算法。设计一种改进的主干网络,结合内容感知混合器(content-aware mixer,CAMixer)模块和CSP架构,提升网络的特征提取能力,并有效减... 针对井盖病害检测任务中检测精度和轻量化难以平衡的问题,提出一种基于改进RT-DETR-R18的井盖病害检测算法。设计一种改进的主干网络,结合内容感知混合器(content-aware mixer,CAMixer)模块和CSP架构,提升网络的特征提取能力,并有效减少模型的计算量。提出DTAB(dilated transformer attention block)模块,通过分组通道自注意力(grouped channel self-attention,G-CSA)避免多尺度下的信息泄露,通过掩码窗口自注意力(masked window self-attention,M-WSA)增强细节特征的提取能力。采用改进的RetBlockC3模块,引入Manhattan自注意力机制,进一步提升模型对局部细节和小目标的捕捉能力。提出一种改进的下采样模块PSConv(pinwheel-shaped convolution),通过多方向卷积核设计和尺度自适应机制,扩大感受野并增强细节区域的检测能力。实验结果表明,与原始RT-DETR-R18模型相比,改进后的RT-DETR在井盖病害数据集上mAP@0.5从86.2%提高到92.0%,计算量从58.6 GFLOPs降到45.1 GFLOPs。在公开数据集RDD2022和NWPU VHR-10上,所提模型相比原始模型在mAP@0.5上分别提高4.7和1.0个百分点。所提算法在保持高精度的基础上,实现轻量化设计,满足井盖病害检测对效率和性能的实际需求。 展开更多
关键词 RT-DETR-R18 井盖病害 轻量化模型 注意力机制
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基于毫米波感知的皮革瑕疵分类方法
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作者 张健 关灏文 《小型微型计算机系统》 北大核心 2026年第2期257-264,共8页
皮革瑕疵分类是确保皮革产品质量的关键环节.传统的人工检测和图像处理方法受限于光照等环境因素,难以满足高效检测需求.近年来,深度学习特别是卷积神经网络(CNN)的应用提高了瑕疵检测的准确性和效率,但仍受到环境影响.毫米波雷达技术... 皮革瑕疵分类是确保皮革产品质量的关键环节.传统的人工检测和图像处理方法受限于光照等环境因素,难以满足高效检测需求.近年来,深度学习特别是卷积神经网络(CNN)的应用提高了瑕疵检测的准确性和效率,但仍受到环境影响.毫米波雷达技术作为一种新兴的无损检测方法,因其强穿透性和不受光照等因素影响的特性而逐渐受到关注.文中提出了一种结合毫米波雷达与改进Vision Transformer模型的皮革瑕疵分类方法,利用毫米波雷达信号提取皮革瑕疵的时频特征,并通过深度学习模型进行分类,在自建数据集上达到了95.62%的准确率,相比经典的分类模型优势显著. 展开更多
关键词 毫米波雷达 皮革瑕疵分类 Vision Transformer模型 迁移学习
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基于改进YOLOv8的3D打印混凝土表观缺陷检测方法
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作者 田卫 周菻鈜 +2 位作者 李欣阳 王建明 黄余康 《浙江大学学报(工学版)》 北大核心 2026年第4期833-843,854,共12页
为了提升3D打印混凝土质量控制水平,针对孔洞、麻面、断裂、塌陷等表观缺陷实时检测难、检测精度低的问题,提出基于改进YOLOv8-SRA的3D打印混凝土表观缺陷检测方法.在Head层中插入Small head模块,提高对微小缺陷的检测能力;在Backbone... 为了提升3D打印混凝土质量控制水平,针对孔洞、麻面、断裂、塌陷等表观缺陷实时检测难、检测精度低的问题,提出基于改进YOLOv8-SRA的3D打印混凝土表观缺陷检测方法.在Head层中插入Small head模块,提高对微小缺陷的检测能力;在Backbone层添加Restormer注意力机制模块,增强在复杂背景下对多尺度缺陷特征的提取能力;在Neck层与Backbone层上添加AKConv模块,提高对于不规则缺陷的特征提取与检测能力.通过消融实验与对比试验验证各模块的协同有效性与模型的优越性.研究表明:改进后模型mAP@0.5为94.7%、召回率为92.6%、精确率为91.3%,较原模型分别提升了6.2、9.7、7.4个百分点,解决了原模型对微小缺陷易漏检、对不规则缺陷易误检的问题,为实际工程中3D打印混凝土建筑及结构质量控制提供了新思路. 展开更多
关键词 混凝土工程 3D打印混凝土 表观缺陷检测 质量控制 YOLOv8模型
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融合注意力机制的铝型材缺陷检测研究
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作者 李峰 《辽宁工程技术大学学报(自然科学版)》 北大核心 2026年第2期249-256,共8页
针对现有检测模型在小目标缺陷识别中存在漏检、误检等问题,提出一种基于YOLOv8n-SE模型的铝型材表面缺陷检测方法。通过在YOLOv8n模型的颈部网络中嵌入SE注意力机制,增强特征提取能力,提高对缺陷区域的定位精度与检测敏感度。基于铝型... 针对现有检测模型在小目标缺陷识别中存在漏检、误检等问题,提出一种基于YOLOv8n-SE模型的铝型材表面缺陷检测方法。通过在YOLOv8n模型的颈部网络中嵌入SE注意力机制,增强特征提取能力,提高对缺陷区域的定位精度与检测敏感度。基于铝型材工件缺陷数据集开展对比试验,将改进模型与Faster R-CNN、YOLOv5n等轻量级模型及不同注意力机制的方案进行性能评估。研究结果表明,改进后模型的平均精确度(mAP)达到75.0%,相较于原始YOLOv8n模型提升4.2%,参数量基本保持不变,推理速度仅下降0.3%。嵌入SE注意力机制的YOLOv8n模型能有效提升铝型材表面缺陷识别效果,缓解小目标的漏检与误检问题,同时保持轻量级模型的高效推理优势,适用于工业场景下的铝型材缺陷检测需求。研究结论为同类工业缺陷检测任务的模型选择与优化提供参考。 展开更多
关键词 缺陷检测 铝型材 YOLOv8模型 SE注意力机制 小目标检测
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基于CCL-YOLOv8的汽车轮毂表面缺陷检测算法研究与分析
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作者 陈燕军 周敏 +1 位作者 查蒙 张美洲 《系统仿真学报》 北大核心 2026年第3期670-686,共17页
针对汽车轮毂表面缺陷检测领域存在检测效率低、微小缺陷识别困难、精度差等问题,提出基于YOLOv8n架构改进的轻量级神经网络CCL-YOLOv8。通过三阶段模型优化策略实现检测精度和效率协同提升:引入卷积注意力模块,集成卷积运算和自注意力... 针对汽车轮毂表面缺陷检测领域存在检测效率低、微小缺陷识别困难、精度差等问题,提出基于YOLOv8n架构改进的轻量级神经网络CCL-YOLOv8。通过三阶段模型优化策略实现检测精度和效率协同提升:引入卷积注意力模块,集成卷积运算和自注意力机制,增强了模型在低信噪比条件下对微小缺陷的局部特征捕获与全局上下文感知能力;构建C2f-Star模块,通过元素乘法优化特征交互,在降低计算开销的同时增强特征表达;设计轻量化检测头,结合共享卷积与差异卷积,实现参数量与计算需求的缩减及高精度检测的兼顾。实验结果表明:CCL-YOLOv8算法相较于现有算法在检测精度、模型轻量化和计算效率3方面均实现较大提升,有效解决了汽车轮毂表面缺陷检测的技术难点,为工业实时检测提供了高效、轻量化、精确的解决方案。 展开更多
关键词 汽车轮毂 CCL-YOLOv8 缺陷检测 模型轻量化 注意力机制
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SLM成形Ti-6Al-4V合金的各向异性拉伸行为及缺陷敏感性分析
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作者 孔阿康 赵元 +7 位作者 杨朋飞 臧涛 李梦佳 孙磊 何家键 鄂世举 刘洋 张嘉振 《中国有色金属学报》 北大核心 2026年第3期961-975,共15页
本文针对经过退火后激光选区熔化(SLM)成形的Ti-6Al-4V合金的力学性能进行研究,重点探讨材料的各向异性力学行为及缺陷敏感性。通过对有无预制缺陷试件开展力学测试,揭示了缺陷的尺寸和位置对材料力学性能的影响规律。基于广义胡克定律... 本文针对经过退火后激光选区熔化(SLM)成形的Ti-6Al-4V合金的力学性能进行研究,重点探讨材料的各向异性力学行为及缺陷敏感性。通过对有无预制缺陷试件开展力学测试,揭示了缺陷的尺寸和位置对材料力学性能的影响规律。基于广义胡克定律和Hill48屈服准则,建立了考虑各向异性特征的弹塑性本构模型。通过有限元分析,验证了该模型在描述材料特性和预测力学响应方面的有效性和可靠性。结果表明:预制缺陷的存在并不改变SLM成形Ti-6Al-4V合金试件的破坏形式,其拉伸模量和抗拉强度均对缺陷的尺寸和位置不敏感,但其断后伸长率明显随着缺陷尺寸的增大而下降,并且缺陷尺寸相同时,位于试件边缘的缺陷相比位于试件中心的缺陷更容易引起材料失效。 展开更多
关键词 激光选区熔化 TI-6AL-4V 各向异性 力学性能 本构模型 缺陷
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Monel K-500合金真空感应熔炼工艺优化依据及控制
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作者 孙攀贺 李澍 +1 位作者 江河 董建新 《稀有金属材料与工程》 北大核心 2026年第3期756-763,共8页
Monel K-500合金在真空感应熔炼(vacuum induction melting,VIM)浇注过程中铸锭上部易出现大量缩孔缺陷,导致成材率低、质量差。为解决该问题,本研究通过Jmat-Pro热力学计算对Monel K-500合金的热物性能及凝固过程进行了探究。结果表明:... Monel K-500合金在真空感应熔炼(vacuum induction melting,VIM)浇注过程中铸锭上部易出现大量缩孔缺陷,导致成材率低、质量差。为解决该问题,本研究通过Jmat-Pro热力学计算对Monel K-500合金的热物性能及凝固过程进行了探究。结果表明:Monel K-500合金的凝固区间在1250~1350℃;凝固路径为:L→L+γ→L+γ+MC→γ+MC+M_(7)C_(3)→γ'+γ+MC+M_(7)C_(3);凝固过程中随着残余液相质量分数减小,Ni元素发生负偏析,Cu元素发生正偏析。将热力学计算结果结合有限元(FEM)模型,对工业中6 t级Monel K-500合金真空感应熔炼浇注过程进行模拟计算,并将结果和实际真空浇注的感应锭上部缩孔缺陷形状及尺寸进行对比,验证浇注模型的可靠性。此外,本研究依托该模型探究了不同浇注参数对真空感应锭缩孔缺陷的影响,结果表明:添加冒口对真空感应锭中缩孔缺陷的改善最大,随着冒容比增大,真空感应锭中缩孔缺陷体积大幅降低,在冒容比为20%时,真空感应锭中无缩孔缺陷;浇注速度在2.5~17.5 kg/s范围时,随着浇注速度降低,真空感应锭中缩孔体积减小,但小于7.5 kg/s时缩孔缺陷向真空感应锭内部移动。 展开更多
关键词 Monel K-500合金 真空感应熔炼 缩孔缺陷 有限元模型
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基于应变能理论的全陶瓷球轴承细观缺陷识别
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作者 白晓天 张赵南 +1 位作者 石怀涛 张啸尘 《北京航空航天大学学报》 北大核心 2026年第1期110-119,共10页
针对全陶瓷球轴承外圈内部存在亚毫米级甚至毫米级的细观缺陷,传统钢制轴承外圈缺陷动力学模型无法表征的问题,基于应变能理论建立针对全陶瓷球轴承外圈亚表面细观缺陷识别的动力学模型,研究细观缺陷尺度下不同缺陷深度对全陶瓷球轴承... 针对全陶瓷球轴承外圈内部存在亚毫米级甚至毫米级的细观缺陷,传统钢制轴承外圈缺陷动力学模型无法表征的问题,基于应变能理论建立针对全陶瓷球轴承外圈亚表面细观缺陷识别的动力学模型,研究细观缺陷尺度下不同缺陷深度对全陶瓷球轴承外圈运行状态的影响,通过仿真,证实了当轴承外圈亚表面存在细观缺陷时,振动时域信号中会存在小波峰现象,在频域信号中转频附近存在与其对应的特征频率,以经验模态分解(EMD)三阶分量幅值正向最大值与其对应的转频峰值的比值判断缺陷演化程度,通过实验验证了所建模型的有效性。所建模型实现了对全陶瓷球轴承外圈是否存在亚表面细观缺陷及缺陷演化程度的判断,为全陶瓷球轴承的缺陷诊断提供了新的思路,为全陶瓷轴承转子系统的安全稳定运转提供理论参考。 展开更多
关键词 全陶瓷球轴承 细观缺陷 动力学建模 应变能理论 经验模态分解
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CrMoV与NiCrMoV异种钢焊接接头的高周疲劳性能及寿命模型
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作者 王志鹏 朱明亮 轩福贞 《机械制造文摘(焊接分册)》 2026年第1期8-14,共7页
对CrMoV与NiCrMoV异种钢焊接接头开展室温及400℃下的高周疲劳试验,并对失效试样进行断口分析,研究异种钢焊接接头的高周疲劳失效机理。结果表明,接头疲劳S-N曲线呈现连续下降形式,在高周疲劳过程中未见疲劳极限平台,失效位置均位于焊... 对CrMoV与NiCrMoV异种钢焊接接头开展室温及400℃下的高周疲劳试验,并对失效试样进行断口分析,研究异种钢焊接接头的高周疲劳失效机理。结果表明,接头疲劳S-N曲线呈现连续下降形式,在高周疲劳过程中未见疲劳极限平台,失效位置均位于焊缝金属区域,并且集中在显微硬度值最低的结构弱区;随着应力幅值的下降,裂纹萌生模式由表面和内部萌生的竞争转变为内部微缺陷萌生占主导,内部焊接气孔微缺陷是主要裂纹萌生源;根据Murakami模型得到的疲劳极限分散性较大,与高周疲劳寿命未呈现出明显规律,通过引入Z参量模型,指出焊接接头的高周疲劳寿命由应力水平、微缺陷有效尺寸和相对深度等因素共同决定,Z参量与高周疲劳寿命具有很好线性关系。 展开更多
关键词 焊接接头 高周疲劳 裂纹萌生 气孔缺陷 Z参量模型
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基于YOLOv8的轻量化金属表面缺陷检测模型
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作者 盛良浩 贾小云 +1 位作者 白颖洁 杨振英 《科学技术与工程》 北大核心 2026年第7期2990-2999,共10页
针对目前金属表面缺陷检测面临模型参数量大、精确度不足、工业现场部署困难等问题,提出了一种基于YOLOv8(you only look once version 8)的轻量化金属表面缺陷检测改进模型。该模型通过引入SCconv(spatial and channel reconst-ruction... 针对目前金属表面缺陷检测面临模型参数量大、精确度不足、工业现场部署困难等问题,提出了一种基于YOLOv8(you only look once version 8)的轻量化金属表面缺陷检测改进模型。该模型通过引入SCconv(spatial and channel reconst-ruction convolution)模块、C2f_Dual模块和倒残差多尺度注意力机制iEMA(inverted residual and efficient multi-scale attention),有效降低了模型参数量和计算量,同时提高了检测精度。实验使用SDI-YOLO在NEU-DET、Magnetic-Tile-Defect数据集上验证,mAP50分别比YOLOv8提高了2.5%、2.6%,参数量降低了15.6%,运算量减少了10.9%。与领域主流算法相比,SDI-YOLO在检测精度和参数量方面都有一定的优势,满足边缘设备部署中参数量较小、识别率高等需求。SDI-YOLO模型为金属表面缺陷检测提供了一种高效、轻量化的解决方案,具有重要的实际应用价值。 展开更多
关键词 深度学习 轻量化模型 金属表面缺陷检测 YOLOv8
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用于基桩缺陷智能识别模型的低应变法数据分析方法研究
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作者 韩剑飞 《江淮水利科技》 2026年第1期31-35,共5页
建立基桩缺陷智能识别模型需依赖全面且有效的样本数据集,以发挥其非线性回归和预测能力,获取用于机器学习的样本数据集是模型建立过程中的关键步骤。研究提出了一种基于核主成分分析的改进数据分析方法(PearsonKPCA),旨在为基桩缺陷智... 建立基桩缺陷智能识别模型需依赖全面且有效的样本数据集,以发挥其非线性回归和预测能力,获取用于机器学习的样本数据集是模型建立过程中的关键步骤。研究提出了一种基于核主成分分析的改进数据分析方法(PearsonKPCA),旨在为基桩缺陷智能识别模型提供可理解且充分的样本数据。研究结果显示:Pearson-KPCA算法在降低样本数据维度方面表现出显著效果,且经过该算法优化的样本数据集在基桩缺陷智能识别模型中的应用效果明显优于采用传统数据分析方法得到的样本数据集。研究为低应变法检测结果的智能分析提供了可靠的数据处理思路与方法。 展开更多
关键词 基桩缺陷识别 低应变法 Pearson-KPCA模型 特征提取 核主成分分析 数据分析
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