IF 2.1 3区材料科学

Strain Pub Date : 2023-04-25 DOI: 10.1111/str.12439

M. Naresh, S. Sikdar, J. Pal, S. Sikdar

{"title":"Vibration data‐driven machine learning architecture for structural health monitoring of steel frame structures","authors":"M. Naresh, S. Sikdar, J. Pal, S. Sikdar","doi":"10.1111/str.12439","DOIUrl":"https://doi.org/10.1111/str.12439","url":null,"abstract":"A vibration data‐based machine learning architecture is designed for structural health monitoring (SHM) of a steel plane frame structure. This architecture uses a Bag‐of‐Features algorithm that extracts the speeded‐up robust features (SURF) from the time‐frequency scalogram images of the registered vibration data. The discriminative image features are then quantised to a visual vocabulary using K‐means clustering. Finally, a support vector machine (SVM) is trained to distinguish the undamaged and multiple damage cases of the frame structure based on the discriminative features. The potential of the machine learning architecture is tested for an unseen dataset that was not used in training as well as with some datasets from entirely new damages close to existing (i.e., trained) damage classes. The results are then compared with those obtained using three other combinations of features and learning algorithms—(i) histogram of oriented gradients (HOG) feature with SVM, (ii) SURF feature with k‐nearest neighbours (KNN) and (iii) HOG feature with KNN. In order to examine the robustness of the approach, the study is further extended by considering environmental variabilities along with the localisation and quantification of damage. The experimental results show that the machine learning architecture can effectively classify the undamaged and different joint damage classes with high testing accuracy that indicates its SHM potential for such frame structures.","PeriodicalId":51176,"journal":{"name":"Strain","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48882741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Combined effect of process variables on the plastic behaviour of 316L stainless steel printed by L‐PBF 工艺变量对L‐PBF印刷316L不锈钢塑性行为的综合影响

IF 2.1 3区材料科学

Strain Pub Date : 2023-04-16 DOI: 10.1111/str.12438

L. Morichelli, G. Chiappini, A. Lattanzi, E. Santecchia, M. Rossi

{"title":"Combined effect of process variables on the plastic behaviour of 316L stainless steel printed by L‐PBF","authors":"L. Morichelli, G. Chiappini, A. Lattanzi, E. Santecchia, M. Rossi","doi":"10.1111/str.12438","DOIUrl":"https://doi.org/10.1111/str.12438","url":null,"abstract":"The metal additive manufacturing (AM) is a technology that is rapidly spreading in the industrial sector with its enormous potential in making components with complex shapes and low weight, ensuring a high structural strength. However, the mechanical properties of the components depend on the printing process, and the interactions between the process variables and the final material behaviour is still not totally understood. In this work, 12 different types of tensile specimen were built by AM using the laser powder bed fusion (L‐PBF) technique; the used material is the 316L stainless steel. The specimens have the same geometry and the same process parameters in terms of layer thickness, hatch space, laser power, spot diameter, scanning speed and platform preheating temperature, while different laser scan strategies and building orientations are evaluated. The scope is to characterize the plastic behaviour of such specimens and study the differences due to distinct printing strategies. Stereo digital image correlation (stereo‐DIC) was used to evaluate the deformation state and analyse the material anisotropy. Finally, the microstructure and presence of defects were investigated through the optical microscopy (OM) and the scanning electron microscopy (SEM). The analysis shows how the plastic behaviour and the formation of defects are remarkably influenced by the laser scan strategy and by the building orientation.","PeriodicalId":51176,"journal":{"name":"Strain","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2023-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47536510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Time‐resolved strain and deformation measurement on the vibrating saxophone reed 萨克斯管簧片振动的时间分辨应变和变形测量

IF 2.1 3区材料科学

Strain Pub Date : 2023-04-12 DOI: 10.1111/str.12437

Enis Ukshini, J. Dirckx

引用次数: 0

Material Testing 2.0: A brief review 材料测试2.0:简要回顾

IF 2.1 3区材料科学

Strain Pub Date : 2023-03-21 DOI: 10.1111/str.12434

F. Pierron

引用次数: 3

Shear strength of plain concrete 素混凝土抗剪强度

IF 2.1 3区材料科学

Strain Pub Date : 2023-03-20 DOI: 10.1111/str.12436

R. Jajodia, S. Gadve

引用次数: 0

Adaptation of the virtual fields method for the identification of biphasic hyperelastic model parameters in soft biological tissues with osmotic swelling 应用虚拟场方法识别渗透膨胀软生物组织双相超弹性模型参数

IF 2.1 3区材料科学

Strain Pub Date : 2023-03-16 DOI: 10.1111/str.12435

Ruike Shi, S. Avril, Haitian Yang, V. A. Acosta Santamaría, Yue Mei, Yiqian He

引用次数: 0

Experimental deformation analysis of an adhesively bonded multi‐material joint for marine applications 船用多材料粘接接头的实验变形分析

IF 2.1 3区材料科学

Strain Pub Date : 2023-03-16 DOI: 10.1111/str.12433

P. Jaiswal, Raj Kumar, Thibault Juwet, G. Luyckx, Cedric Verhaeghe, W. De Waele

引用次数: 2

Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated experiments 模拟试验中火炬松早、晚木刚度的优化识别

IF 2.1 3区材料科学

Strain Pub Date : 2022-12-05 DOI: 10.1111/str.12432

J. Considine, Nathan J. Bechle, F. Pierron, David E. Krestschmann

{"title":"Optimized identification of earlywood and latewood stiffnesses in loblolly pine in simulated experiments","authors":"J. Considine, Nathan J. Bechle, F. Pierron, David E. Krestschmann","doi":"10.1111/str.12432","DOIUrl":"https://doi.org/10.1111/str.12432","url":null,"abstract":"Knowledge of local mechanical behaviour of wood is especially important as silvicultural practices are modified to allow wood to compete as a relevant material in high technology applications. Challenges associated with identification of local mechanical behaviour have resulted in simplified test geometries designed to determine one or two constitutive parameters. The objective of this work was to design and simulate an entire experiment developed to simultaneously identify the earlywood and latewood orthotropic stiffnesses in loblolly pine in a single specimen and load geometry. The virtual experiment was capable of evaluating optimal orthotropy orientation for reduced identification errors and indicating most favourable choices for data smoothing filters and identification methodology. Additionally, certain ring spacing and latewood percentages were shown to produce large errors, but those combinations are unlikely to occur naturally. The simulation was able to identify Q11,Q22 , and Q66 with approximately ±10% error; the Q12 error was larger with more scatter. The methodology presented here contributes to the best practices available for heterogeneous stiffness identification.","PeriodicalId":51176,"journal":{"name":"Strain","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47385938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Uncertainty reduction in residual stress measurements by an optimised inverse solution using nonconsecutive polynomials 利用非连续多项式的优化反解减少残余应力测量中的不确定性

IF 2.1 3区材料科学

Strain Pub Date : 2022-11-08 DOI: 10.1111/str.12430

Diego L. Brítez, M. Prime, Sana Werda, R. Laheurte, P. Darnis, O. Cahuc

引用次数: 0

Identification of thermomechanical parameters based on the virtual fields method combined with the sampling moiré method 基于虚拟场法和采样法的热力学参数辨识

IF 2.1 3区材料科学

Strain Pub Date : 2022-10-28 DOI: 10.1111/str.12429

Yangyang Li, H. Xie

{"title":"Identification of thermomechanical parameters based on the virtual fields method combined with the sampling moiré method","authors":"Yangyang Li, H. Xie","doi":"10.1111/str.12429","DOIUrl":"https://doi.org/10.1111/str.12429","url":null,"abstract":"Thermomechanical parameters are important indicators for evaluating the mechanical properties of superalloys and generally include the coefficients of stiffness and thermal expansion at high temperatures. At present, there are few methods for simultaneously characterising the thermomechanical parameters of superalloys, especially single‐crystal superalloys. To satisfy the demand for simultaneously identifying the thermomechanical parameters of orthotropic superalloys, an optimised virtual fields method for decoupling the thermomechanical parameters was developed in this study by combining the self‐developed heat‐resistant grids and the sampling moiré method. First, several factors, including the oblique angle of the grids, image noise and thermomechanical coupling phenomena, were studied through numerical experiments to analyse their influences on the identification accuracy. Then, an optimised identification strategy was established. Finally, the thermomechanical parameters of Ni‐based polycrystalline and single‐crystal superalloys were successfully identified and comparatively studied. The identification results demonstrate that the proposed method is highly accurate and robust. This research will provide an effective way to accurately characterise the multiple parameters of superalloys at high temperatures.","PeriodicalId":51176,"journal":{"name":"Strain","volume":" ","pages":""},"PeriodicalIF":2.1,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48913882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

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