Pub Date : 2024-09-18DOI: 10.1177/03093247241273785
Shashank Pandey
The present work is an attempt to develop a simple and accurate finite element formulation for the thermal shock analysis of the rotating porous cracked pretwisted functionally graded material (FGM) microblade using modified coupled stress theory in conjunction with phase-field and first-order shear deformation theory (FSDT). The physical neural surface is taken as the reference plane and the exact value of the shear correction factor is calculated from the shear stiffness. The elastic properties are assumed to be temperature-dependent and the upper ceramic layer is subjected to a high thermal shock whereas the bottom metallic layer is maintained at room temperature or is thermally insulated. The governing differential equation for the present analysis is derived using Hamilton’s principle and Newmark average acceleration method is used to obtain the transient response of the rotating porous cracked pretwisted FGM microblade subjected to thermal shock. The results obtained from the present finite element formulation are first validated with several benchmark examples available in the literature. New results are presented investigating the effect of crack depth, crack location, crack angle, rotational velocity and material scale ratio on the transient response of the cracked rotating porous pretwisted FGM microblade subjected to thermal shock. It is shown here that the parameters like crack depth, crack location and crack angle have a significant influence on the transient response of the rotating porous cracked pretwisted FGM microblade.
{"title":"Phase field thermal shock analysis of rotating porous cracked pretwisted FGM microblade using exact shear correction factor","authors":"Shashank Pandey","doi":"10.1177/03093247241273785","DOIUrl":"https://doi.org/10.1177/03093247241273785","url":null,"abstract":"The present work is an attempt to develop a simple and accurate finite element formulation for the thermal shock analysis of the rotating porous cracked pretwisted functionally graded material (FGM) microblade using modified coupled stress theory in conjunction with phase-field and first-order shear deformation theory (FSDT). The physical neural surface is taken as the reference plane and the exact value of the shear correction factor is calculated from the shear stiffness. The elastic properties are assumed to be temperature-dependent and the upper ceramic layer is subjected to a high thermal shock whereas the bottom metallic layer is maintained at room temperature or is thermally insulated. The governing differential equation for the present analysis is derived using Hamilton’s principle and Newmark average acceleration method is used to obtain the transient response of the rotating porous cracked pretwisted FGM microblade subjected to thermal shock. The results obtained from the present finite element formulation are first validated with several benchmark examples available in the literature. New results are presented investigating the effect of crack depth, crack location, crack angle, rotational velocity and material scale ratio on the transient response of the cracked rotating porous pretwisted FGM microblade subjected to thermal shock. It is shown here that the parameters like crack depth, crack location and crack angle have a significant influence on the transient response of the rotating porous cracked pretwisted FGM microblade.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259928","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/03093247241263685
Ali Zeinolabedin-Beygi, Hassan Moslemi Naeini, Hossein Talebi-Ghadikolaee, Amir Hossein Rabiee, Saeid Hajiahmadi
This study outlines an experimental and computational endeavor aimed at developing a machine learning model to estimate spring-back values utilizing the decision tree methodology. A design of experiment approach was employed to collect a dataset, and based on the experimental results, a precise model was constructed to predict spring-back values. The model considered parameters such as thickness, diameter of circle hole, distance between the center hole and flange edge, and hole spacing. Various hyper parameters, including max depth and minimum samples for split, were explored, with configurations such as (30,5), (20,8), and (10,2) being evaluated to identify the optimal model for spring-back prediction. Analysis of the results demonstrated that the decision tree models accurately estimated spring-back values in cold roll forming of pre-punched sheets based on the input parameters. The coefficient of determination in the test section for decision tree models with parameters (30,5), (20,8), and (10,2) was found to be 0.90, 0.98, and 0.96, respectively. Additionally, the percentage of absolute error in the test section for the same decision tree models was calculated as 8.84%, 6.18%, and 7.6%, respectively.
{"title":"Predictive modeling of spring-back in pre-punched sheet roll forming using machine learning","authors":"Ali Zeinolabedin-Beygi, Hassan Moslemi Naeini, Hossein Talebi-Ghadikolaee, Amir Hossein Rabiee, Saeid Hajiahmadi","doi":"10.1177/03093247241263685","DOIUrl":"https://doi.org/10.1177/03093247241263685","url":null,"abstract":"This study outlines an experimental and computational endeavor aimed at developing a machine learning model to estimate spring-back values utilizing the decision tree methodology. A design of experiment approach was employed to collect a dataset, and based on the experimental results, a precise model was constructed to predict spring-back values. The model considered parameters such as thickness, diameter of circle hole, distance between the center hole and flange edge, and hole spacing. Various hyper parameters, including max depth and minimum samples for split, were explored, with configurations such as (30,5), (20,8), and (10,2) being evaluated to identify the optimal model for spring-back prediction. Analysis of the results demonstrated that the decision tree models accurately estimated spring-back values in cold roll forming of pre-punched sheets based on the input parameters. The coefficient of determination in the test section for decision tree models with parameters (30,5), (20,8), and (10,2) was found to be 0.90, 0.98, and 0.96, respectively. Additionally, the percentage of absolute error in the test section for the same decision tree models was calculated as 8.84%, 6.18%, and 7.6%, respectively.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-26DOI: 10.1177/03093247241262178
Ying Gu, Jiaojiao Chen, Song Gu, Chao Kong, Songbo Ren, Yixiang Du
In the measurement of residual stresses (RSs) via the hole-drilling method, the error induced by the eccentricity of the drilled hole is inevitable and non-negligible in some cases. In this study, both the eccentricity coordinates and RS state (two principal stresses and one principal angle) are considered unknowns that must be solved. A set of five equations is required to determine these five unknowns. Therefore, two additional measuring grids are added to the strain gauge comprising three grids, which is typically used in measuring RSs. Consequently, a novel strain gauge rosette with five measuring grids (SGR-5MG) is created. Subsequently, an algorithm associated with the SGR-5MG is developed to solve the five unknowns based on the Newton–Raphson method. The algorithm is elasticity-based and derived according to the layout of the SGR-5MG. Finally, the proposed method is verified numerically and experimentally. The results show that (1) the eccentricity error is up to 35.1% when the eccentricity reaches 0.05 D, where D represents the diameter of the gauge circle; (2) Using the proposed method, the error can be significantly reduced to 7.2%; (3) The elasticity-based proposed method cannot make the predicted results exactly converge to the actual stresses in predicting high stresses because of the plasticity deformation around the hole. The eccentricity error can be reduced significantly by using the proposed method based on the SGR-5MG.
{"title":"Eliminating eccentricity error in measuring residual stresses via hole-drilling method using strain gauge rosette with five measuring grids: For thin plates using through-holes","authors":"Ying Gu, Jiaojiao Chen, Song Gu, Chao Kong, Songbo Ren, Yixiang Du","doi":"10.1177/03093247241262178","DOIUrl":"https://doi.org/10.1177/03093247241262178","url":null,"abstract":"In the measurement of residual stresses (RSs) via the hole-drilling method, the error induced by the eccentricity of the drilled hole is inevitable and non-negligible in some cases. In this study, both the eccentricity coordinates and RS state (two principal stresses and one principal angle) are considered unknowns that must be solved. A set of five equations is required to determine these five unknowns. Therefore, two additional measuring grids are added to the strain gauge comprising three grids, which is typically used in measuring RSs. Consequently, a novel strain gauge rosette with five measuring grids (SGR-5MG) is created. Subsequently, an algorithm associated with the SGR-5MG is developed to solve the five unknowns based on the Newton–Raphson method. The algorithm is elasticity-based and derived according to the layout of the SGR-5MG. Finally, the proposed method is verified numerically and experimentally. The results show that (1) the eccentricity error is up to 35.1% when the eccentricity reaches 0.05 D, where D represents the diameter of the gauge circle; (2) Using the proposed method, the error can be significantly reduced to 7.2%; (3) The elasticity-based proposed method cannot make the predicted results exactly converge to the actual stresses in predicting high stresses because of the plasticity deformation around the hole. The eccentricity error can be reduced significantly by using the proposed method based on the SGR-5MG.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141784938","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-23DOI: 10.1177/03093247241260900
Gaole Hong, Na Risu, Fubao Zhang, Maoxun Sun, Yue Zhang, Xiao Wang
The evaluation ability of misorientation parameters and Kikuchi band parameters on creep damage of HR3C austenitic steel is reported in this paper. HR3C steel samples were subjected to the creep process for 475, 756, 1240, and 1300 h, respectively. During the creep process, the average kernel average misorientation (KAM) and grain reference orientation deviation (GROD) increased significantly overall as the creep time increased, while the average mean angle deviation (MAD) and band contrast (BC) did not show significant changes. When comparing GROD and KAM, it was found that the variation range of GROD is larger and the variation trend is monotonous, making GROD more suitable for evaluating the creep damage of HR3C steel. Subsequently, the physical mechanism of GROD is derived and studied.
{"title":"Creep damage assessment of HR3C austenitic steel by using misorientation parameters derived from EBSD technique","authors":"Gaole Hong, Na Risu, Fubao Zhang, Maoxun Sun, Yue Zhang, Xiao Wang","doi":"10.1177/03093247241260900","DOIUrl":"https://doi.org/10.1177/03093247241260900","url":null,"abstract":"The evaluation ability of misorientation parameters and Kikuchi band parameters on creep damage of HR3C austenitic steel is reported in this paper. HR3C steel samples were subjected to the creep process for 475, 756, 1240, and 1300 h, respectively. During the creep process, the average kernel average misorientation (KAM) and grain reference orientation deviation (GROD) increased significantly overall as the creep time increased, while the average mean angle deviation (MAD) and band contrast (BC) did not show significant changes. When comparing GROD and KAM, it was found that the variation range of GROD is larger and the variation trend is monotonous, making GROD more suitable for evaluating the creep damage of HR3C steel. Subsequently, the physical mechanism of GROD is derived and studied.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"162 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141770234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-18DOI: 10.1177/03093247241252497
JongWook Lim, JongHwan Kim, Sung Jin Kim, KyeJoo Song, Seong Yun Kim
Due to the increasing weight of electric vehicles, advanced tyre technology is urgently needed. In particular, there is a need for dynamic contact analysis to determine the energy interaction between tyres and road surfaces. However, the methods developed to date are limited in that they require either numerous contact patches inside the tyre or sensor devices on the ground. In this study, we propose a new method for dynamic tyre-ground contact analysis that overcomes these limitations. By installing a two-dimensional image sensor inside the tyre, deformations can be observed and quantified three-dimensionally during vehicle operation. This method advances tyre engineering through innovative analysis of tyre deformation during operation.
{"title":"3D dynamic contact analysis of tyre internal deformation using 2D image sensor","authors":"JongWook Lim, JongHwan Kim, Sung Jin Kim, KyeJoo Song, Seong Yun Kim","doi":"10.1177/03093247241252497","DOIUrl":"https://doi.org/10.1177/03093247241252497","url":null,"abstract":"Due to the increasing weight of electric vehicles, advanced tyre technology is urgently needed. In particular, there is a need for dynamic contact analysis to determine the energy interaction between tyres and road surfaces. However, the methods developed to date are limited in that they require either numerous contact patches inside the tyre or sensor devices on the ground. In this study, we propose a new method for dynamic tyre-ground contact analysis that overcomes these limitations. By installing a two-dimensional image sensor inside the tyre, deformations can be observed and quantified three-dimensionally during vehicle operation. This method advances tyre engineering through innovative analysis of tyre deformation during operation.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"54 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141062728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-08DOI: 10.1177/03093247241244564
Mohammad Mehdi Ghane Shalmani, Ali Basti, Abolfazl Taherkhani
In contemporary industrial practices, various methods are employed to subject raw metal sheets to deformation in order to fabricate requisite components. These sheets exhibit a defined capacity for deformation during the forming process. Over recent decades, a plethora of experimental and numerical methodologies have emerged to ascertain these forming limits. Initially, a forming limit diagram (FLD) was devised, predicated on the phenomenon of necking, under the assumption that forming takes place under plane-stress conditions. However, in certain complex processes like hydroforming and incremental forming, necking can manifest at sites where normal and through-thickness shear stresses act upon the sheet in addition to the in-plane stresses, rendering the plane-stress assumption inadequate for predicting forming limits in such scenarios. Thus, it becomes imperative to derive a diagram that can accurately forecast forming limits in these processes. This study aims to establish a Generalized Forming Limit Diagram (GFLD) through numerical means. GFLDs were constructed utilizing two distinct yield functions, namely Von-Mises and Hill48, for isotropic and anisotropic states, respectively. The findings reveal that normal compressive stress and through-thickness shear strain augment the formability of sheet metals. Furthermore, the outcomes illustrate that accounting for anisotropy introduces variances between diagrams in some regions of the FLD curve while the discrepancies are minor within the central regions.
{"title":"Investigation of the effect of anisotropy on Generalized Forming Limit Diagram","authors":"Mohammad Mehdi Ghane Shalmani, Ali Basti, Abolfazl Taherkhani","doi":"10.1177/03093247241244564","DOIUrl":"https://doi.org/10.1177/03093247241244564","url":null,"abstract":"In contemporary industrial practices, various methods are employed to subject raw metal sheets to deformation in order to fabricate requisite components. These sheets exhibit a defined capacity for deformation during the forming process. Over recent decades, a plethora of experimental and numerical methodologies have emerged to ascertain these forming limits. Initially, a forming limit diagram (FLD) was devised, predicated on the phenomenon of necking, under the assumption that forming takes place under plane-stress conditions. However, in certain complex processes like hydroforming and incremental forming, necking can manifest at sites where normal and through-thickness shear stresses act upon the sheet in addition to the in-plane stresses, rendering the plane-stress assumption inadequate for predicting forming limits in such scenarios. Thus, it becomes imperative to derive a diagram that can accurately forecast forming limits in these processes. This study aims to establish a Generalized Forming Limit Diagram (GFLD) through numerical means. GFLDs were constructed utilizing two distinct yield functions, namely Von-Mises and Hill48, for isotropic and anisotropic states, respectively. The findings reveal that normal compressive stress and through-thickness shear strain augment the formability of sheet metals. Furthermore, the outcomes illustrate that accounting for anisotropy introduces variances between diagrams in some regions of the FLD curve while the discrepancies are minor within the central regions.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932741","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A new-type identification method in the frequency domain by combining a multi-layer neural network and support vector regression is proposed to identify random load of a complex cylindrical shell structure. The kernel function of support vector regression has a great influence on the prediction accuracy of machine learning model, and it is effective to employ the linear function. As the penalty factor is large, the identification accuracy of the Gaussian kernel function is close to the linear kernel function. In the process of random load identification, the prediction accuracy of the neural network using the L-BFGS method is higher than the traditional Adam method. The number of hidden layers of the neural network has little effect on the L-BFGS algorithm, but a great effect on the Adam method. Different levels of noise are introduced to verify the robustness of the machine learning model. Both the support vector regression with linear kernel function and neural network model based on the L-BFGS method have strong robustness. For the noise percentage of 1%, the support vector regression has better prediction accuracy than the neural network, yet the case is contrary for the noise percentage greater than 5%. The verification shows that the neural network model trained by simulation data has better identification accuracy for real load at some frequencies. The load identification method is proposed based on the frequency points which may establish the machine learning model. The mean absolute percentage error shows that the method based on a multi-layer neural network and support vector regression has high identification accuracy.
针对复杂圆柱形壳体结构的随机载荷识别，提出了一种结合多层神经网络和支持向量回归的新型频域识别方法。支持向量回归的核函数对机器学习模型的预测精度影响很大，采用线性函数是有效的。由于惩罚因子较大，高斯核函数的识别精度接近线性核函数。在随机负荷识别过程中，采用 L-BFGS 方法的神经网络的预测精度高于传统的 Adam 方法。神经网络的隐层数对 L-BFGS 算法影响不大，但对 Adam 方法影响很大。为了验证机器学习模型的鲁棒性，引入了不同程度的噪声。带线性核函数的支持向量回归和基于 L-BFGS 方法的神经网络模型都具有很强的鲁棒性。当噪声百分比为 1%时，支持向量回归的预测精度优于神经网络，但当噪声百分比大于 5%时，情况则相反。验证结果表明，由仿真数据训练的神经网络模型对某些频率的实际负载具有更好的识别精度。基于频点提出的负载识别方法可以建立机器学习模型。平均绝对误差百分比表明，基于多层神经网络和支持向量回归的方法具有较高的识别精度。
{"title":"Random load identification of cylindrical shell structure based on multi-layer neural network and support vector regression","authors":"Xinliang Yang, Yanfeng Guo, Yawen Chen, Jinwei Zhao, Longlei Dong, Yanjun Lü","doi":"10.1177/03093247241245185","DOIUrl":"https://doi.org/10.1177/03093247241245185","url":null,"abstract":"A new-type identification method in the frequency domain by combining a multi-layer neural network and support vector regression is proposed to identify random load of a complex cylindrical shell structure. The kernel function of support vector regression has a great influence on the prediction accuracy of machine learning model, and it is effective to employ the linear function. As the penalty factor is large, the identification accuracy of the Gaussian kernel function is close to the linear kernel function. In the process of random load identification, the prediction accuracy of the neural network using the L-BFGS method is higher than the traditional Adam method. The number of hidden layers of the neural network has little effect on the L-BFGS algorithm, but a great effect on the Adam method. Different levels of noise are introduced to verify the robustness of the machine learning model. Both the support vector regression with linear kernel function and neural network model based on the L-BFGS method have strong robustness. For the noise percentage of 1%, the support vector regression has better prediction accuracy than the neural network, yet the case is contrary for the noise percentage greater than 5%. The verification shows that the neural network model trained by simulation data has better identification accuracy for real load at some frequencies. The load identification method is proposed based on the frequency points which may establish the machine learning model. The mean absolute percentage error shows that the method based on a multi-layer neural network and support vector regression has high identification accuracy.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140798987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-10DOI: 10.1177/03093247241234707
Abhijeet Babar, Rosalin Sahoo
In this work, the static, buckling, and free vibration analysis of functionally graded carbon nanotube-reinforced composite (FG-CNTRC) beam resting on a Pasternak elastic foundation are studied. The secant function-based shear deformation theory (SFSDT) is used for this analysis. This theory fulfills the traction-free boundary conditions at the top and bottom surfaces of the beam, hence there is no need for a shear correction factor. Hamilton’s principle is used to determine the governing differential equations and boundary conditions whereas Navier’s solution technique is used for determining the closed-form solution. The analytical approach is used to examine the deflection, stresses, critical buckling load, and natural frequencies of the FG-CNTRC beam resting on the Pasternak elastic foundation including a shear layer and Winkler springs. To determine the material characteristics of FG-CNTRC beams, the Rule of the mixture is used. Uniform distribution (UD-beam), FG-X beam, FG-O beam, and FG-V beam are the different forms of CNT reinforcement distribution that are used in this study. Considering different span thickness ratios, the volume fraction and distribution of CNT, the Winkler spring, and the shear layer constant factors, all the structural responses are predicted. It is also observed that the present theory predicts the structural responses of the FG-CNTRC beam accurately when compared to other existing theories. A few new results are also included as the benchmark solutions for the new research.
{"title":"Static, buckling, and free vibration responses of functionally graded carbon nanotube-reinforced composite beams with elastic foundation in non-polynomial framework","authors":"Abhijeet Babar, Rosalin Sahoo","doi":"10.1177/03093247241234707","DOIUrl":"https://doi.org/10.1177/03093247241234707","url":null,"abstract":"In this work, the static, buckling, and free vibration analysis of functionally graded carbon nanotube-reinforced composite (FG-CNTRC) beam resting on a Pasternak elastic foundation are studied. The secant function-based shear deformation theory (SFSDT) is used for this analysis. This theory fulfills the traction-free boundary conditions at the top and bottom surfaces of the beam, hence there is no need for a shear correction factor. Hamilton’s principle is used to determine the governing differential equations and boundary conditions whereas Navier’s solution technique is used for determining the closed-form solution. The analytical approach is used to examine the deflection, stresses, critical buckling load, and natural frequencies of the FG-CNTRC beam resting on the Pasternak elastic foundation including a shear layer and Winkler springs. To determine the material characteristics of FG-CNTRC beams, the Rule of the mixture is used. Uniform distribution (UD-beam), FG-X beam, FG-O beam, and FG-V beam are the different forms of CNT reinforcement distribution that are used in this study. Considering different span thickness ratios, the volume fraction and distribution of CNT, the Winkler spring, and the shear layer constant factors, all the structural responses are predicted. It is also observed that the present theory predicts the structural responses of the FG-CNTRC beam accurately when compared to other existing theories. A few new results are also included as the benchmark solutions for the new research.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"63 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140573731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-30DOI: 10.1177/03093247241240821
D. Chatterjee, Arghya Ghosh, Dipankar Chakravorty
A review of literature about industrially important composite skew plates, which are used as roofing and flooring units to cover non-rectangular parallelogram shaped plan areas, shows that the aspect of progressive failure has not received any attention from researchers which is essential to comprehensively understand failure behaviour from initiation to the ultimate stage. In the present approach stiffness degradation of a damaged plate is considered only at the point of damage in the corresponding lamina at all stages of first and progressive failure and the present outputs match excellently with published experimental results. This realistic modelling of failure behaviour is the novelty of this paper. Apart from reporting the failure load values, the failure zones and nature of damage progress on the skew plate surfaces are also presented which are expected to be valuable inputs for non-destructive health monitoring.
{"title":"Progressive failure prediction of laminated composite thin skew plates under transverse loading using nonlinear strains","authors":"D. Chatterjee, Arghya Ghosh, Dipankar Chakravorty","doi":"10.1177/03093247241240821","DOIUrl":"https://doi.org/10.1177/03093247241240821","url":null,"abstract":"A review of literature about industrially important composite skew plates, which are used as roofing and flooring units to cover non-rectangular parallelogram shaped plan areas, shows that the aspect of progressive failure has not received any attention from researchers which is essential to comprehensively understand failure behaviour from initiation to the ultimate stage. In the present approach stiffness degradation of a damaged plate is considered only at the point of damage in the corresponding lamina at all stages of first and progressive failure and the present outputs match excellently with published experimental results. This realistic modelling of failure behaviour is the novelty of this paper. Apart from reporting the failure load values, the failure zones and nature of damage progress on the skew plate surfaces are also presented which are expected to be valuable inputs for non-destructive health monitoring.","PeriodicalId":517390,"journal":{"name":"The Journal of Strain Analysis for Engineering Design","volume":"68 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140364927","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-28DOI: 10.1177/03093247241240832
Mohammad A. Gharaibeh
The finite element modeling of electronic boards is a challenging task due to the complexity of the multi-component board structure. Hence, it is acceptable to attain equivalent orthotropic in-plane mechanical properties and use them throughout the finite element analysis (FEA) simulations. This paper aims to present an artificial intelligence-based methodology, using the artificial neural networks (ANNs), to estimate the in-plane mechanical properties of the printed circuit boards (PCB). In this methodology, the ANN technique used FEA data to find the relationship between the first 10 natural frequencies and the mechanical properties, that is, modulus of elasticity, Poisson’s ratio and the shear modulus, of the test board. Subsequently, the experimentally derived natural frequency data is then imported to the ANN model to identify the equivalent orthotropic properties. The ANN-predicted properties are plugged back into FEA and provided natural frequencies and mode shapes that are in great match with experimental results.
由于多组件电路板结构的复杂性，电子电路板的有限元建模是一项具有挑战性的任务。因此，在整个有限元分析（FEA）模拟过程中，获得等效的正交平面力学性能并加以使用是可以接受的。本文旨在介绍一种基于人工智能的方法，利用人工神经网络（ANN）估算印刷电路板（PCB）的面内机械特性。在该方法中，ANN 技术利用有限元分析数据找出前 10 个自然频率与测试板的机械性能（即弹性模量、泊松比和剪切模量）之间的关系。随后，将实验得出的固有频率数据导入 ANN 模型，以确定等效的正交特性。将 ANN 预测的属性输入到有限元分析中，得到的固有频率和模态振型与实验结果非常吻合。
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