共查询到20条相似文献,搜索用时 15 毫秒
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借助材质为Metasafe 900(与27MnSiVS6相似)和AlCuMg2的与构件相似试件的工作强度试验的已有寿命数据,研究了将材料疲劳特性转换成构件疲劳特性的可能性。分析了材料、构件几何形状以及载荷的变化对承载能力的影响。算例表明,通过估算取决于构件几何形状和加载次序的材料承载能力,可以使局部应力概念下的这种疲劳特性转换成为可能。 相似文献
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ABSTRACTTo predict field reliability using analytical modeling, several important reliability activities should be conducted, including failure mode and effect analysis, stress and usage condition analysis, physics of failure analysis, accelerated life testing and modeling, and cumulative damage modeling if needed. With all of the mentioned activities and results, the field reliability confidence limit can be predicted at a certain confidence level, if a modeling framework can be established. This article builds such an integrated process and comprehensive modeling framework, especially with cumulative damage rules when the certain field stresses are random processes. An engineering product is provided as an application to illustrate the effectiveness of proposed method. 相似文献
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Lin H. Geng H. P. Zhang Y. Y. Li H. Liu X. Y. Zhou X. F. Yu L. 《Strength of Materials》2019,51(1):102-112
Strength of Materials - Casting of a gas turbine blade from MAR-M247 nickel-base superalloy is followed by multiple carbide precipitates as a result of solidification. The microstructure of carbide... 相似文献
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Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran B. Ahmed Dakheel Almoqbil Majd Nabeel Abdullah Omer 《计算机、材料和连续体(英文)》2022,73(1):295-310
The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems. Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide. Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road. To address this overwhelming problem, in this article, a cloud-based intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach. The aim of the study is to reduce the delay in the queues, the vehicles experience at different road junctions across the city. The proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things (IoT) sensors across the road. After due preprocessing over the cloud server, the proposed approach makes use of this data by incorporating the neuro-fuzzy engine. Consequently, it possesses a high level of accuracy by means of intelligent decision making with minimum error rate. Simulation results reveal the accuracy of the proposed model as 98.72% during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%, 95.84%, 97.56% and 98.03%, respectively. As far as the training phase analysis is concerned, the proposed scheme exhibits 99.214% accuracy. The proposed prediction model is a potential contribution towards smart cities environment. 相似文献
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A prediction method of fatigue strength under an arbitraryfrequency, temperature, and stress ratio is proposed for polymercomposites and its validity is confirmed for the flexural fatiguestrength of satin-woven CFRP laminates. This method is based upon fourhypotheses: (a) same failure process under constant strain-rate (CSR),creep, and fatigue loadings, (b) same time-temperature superpositionprinciple for all failure strengths, (c) linear cumulative damage lawfor nondecreasing stress process, and (d) linear dependence of fatiguestrength upon stress ratio. This method was applied to the flexuralfatigue strength of various unidirectional CFRPs, and the verificationand limitations of this method were discussed. 相似文献
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《Scripta Metallurgica》1982,16(11):1279-1284
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Energetical Theories on Fatigue Life Prediction 总被引:1,自引:0,他引:1
童小燕 《材料科学技术学报》1992,8(4):266-272
Current developments on fatigue life predictionmethods have been systematically reviewed.In con-sideration of the irreversibility of energy dissipationduring fatigue damage process,the main contentsfor fatigue damage estimation and localizedequivalence as well as simulation models have beenestablished.A frame of energy-based fatigue lifeprediction method has been proposed,meanwhile,the procedure in application to a practical structurecomponent has been described. 相似文献
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William S. Cleveland 《技术计量学》2013,55(4):713-723
The mathematical theory of the best linear prediction of stationary time series presumes that the model generating the series, which can be specified by either the autocovariance function or the spectral density, is known. The true model is, of course, not known in practice, and the procedure is to fit a model and predict as if this fitted model were the truth. The question then is one of deciding whether the resulting predictions are about as good as could be gotten if the truth were known. This paper describes a method for assessing the predictions of the fitting model by an analysis of residuals. In particular, it is argued that the traditional tests of hypothesis for white noise are inappropriate if prediction is the goal, and a method is described for determining whether or not the mean square errors of the predictions arising from the fitted model can be measurably reduced. 相似文献
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A discord is a refinement of the concept of an anomalous subsequence of a time series. Being one of the topical issues of time series mining, discords discovery is applied in a wide range of real-world areas (medicine, astronomy, economics, climate modeling, predictive maintenance, energy consumption, etc.). In this article, we propose a novel parallel algorithm for discords discovery on high-performance cluster with nodes based on many-core accelerators in the case when time series cannot fit in the main memory. We assumed that the time series is partitioned across the cluster nodes and achieved parallelization among the cluster nodes as well as within a single node. Within a cluster node, the algorithm employs a set of matrix data structures to store and index the subsequences of a time series, and to provide an efficient vectorization of computations on the accelerator. At each node, the algorithm processes its own partition and performs in two phases, namely candidate selection and discord refinement, with each phase requiring one linear scan through the partition. Then the local discords found are combined into the global candidate set and transmitted to each cluster node. Next, a node performs refinement of the global candidate set over its own partition resulting in the local true discord set. Finally, the global true discords set is constructed as intersection of the local true discord sets. The experimental evaluation on the real computer cluster with real and synthetic time series shows a high scalability of the proposed algorithm. 相似文献
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Balachandra Shetty P. Mishra R. K. Prithvi S. S. Lohith R. Karthik B. M. Lohith D. M. 《Journal of Failure Analysis and Prevention》2018,18(5):1210-1215
Journal of Failure Analysis and Prevention - In the present work, a case study on the gas turbine blade is undertaken for failure analysis through finite element approach. The analysis is carried... 相似文献
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大型水轮机叶片快速检测的新方法 总被引:5,自引:0,他引:5
为解决大型水轮机叶片尺寸检测这一行业性难题,实现对叶片型面外型尺寸的快速检测,提出了一种基于视觉测量技术的新方法.该方法以摄影测量原理为理论基础,首先在物体表面待测位置粘贴标志点,然后从不同角度拍摄一组照片,作为测量的原始数据输入计算机中进行解析处理.在测量软件中通过对照片组进行图像检测,识别出各张照片中标志点并定位其中心,匹配同名标志点,最后根据标志点的多个二维坐标重建出对应物体点的三维坐标,从而实现对被测对象的数字化建模和测量.现场实验表明,与传统的水轮机叶片检测方法相比,该方法具有工作量小,速度快,成本低,容易实现在线检测,并且不易受现场灰尘、振动、湿度和温度变化等外界因素的干扰. 相似文献