This paper is a result of a research focused on statistical vehicles dynamics. Its main purpose is to establish mathematical description of vehicle dynamics based on statistically sufficient experimental data and using statistical instruments. The results are analytical expressions and graphical representations that can be used in situations other than those the data were obtained. Experimental research program objective was to obtain a variety of data to define the dynamics of a vehicle. It involved a large number of tests, more than 100, on different runways, pavement, mosaic tiles or asphalt. They were performed in various weather conditions, sunny and warm weather or rain or sleet and snow. The driving style varied between normal and sport ones. The experimental data were used in obtaining mathematical models that define certain dependency between dynamic parameters. There were issued multiple linear regressions with one resulting parameter. If we analyzed the models we issued we notice that the more factorial parameters are involved, the higher the accuracy of the model we get.
Numerical Models for Fatigue Crack Evolution StudyThe paper presents some considerations regarding to the numerical simulation of the behaviour of the riveted structures in fatigue loading conditions. In order to estimate the stress intensity factor, "k", different constitutive laws for the materials were considered. Choosing different contours for "J" integral calculation, some simplified models were studied. The final numerical results were analysed with respect to the physical tests.
The unique properties of laser radiation determine his special technological applications. Surface treatment is a subject of considerable interest at present because it is able to save strategic materials or allow improved components with perfect surfaces. Optical energy is an ideal form of energy for surface treatment. The advantages offered by the laser, the highly localized clean nature of the process, low distortion and high quality of finish demonstrate that. In this paper we will present the main aspects about experimental arrangements for appropriate ideal power distribution to gives a uniform temperature over the area to be treated and metallurgical results and properties of hardened steels.
In this paper are described fatigue physical tests that were performed on a great number of riveted specimens with different constructive and technological parameters. Some of the purposes of the experimental tests, they were: determining the number of load cycles at which cracks by fatigue occurred, determining the moment of initiation, the location and propagation speed of the fatigue crack. For fatigue crack evolution study numerical models were designed. A simplified model for FEM analysis was proposed that reduced considerable the calculus effort and allows models for complex riveted joints. From the described experiments on specimens and numerical simulations there are some important conclusions regarding the fatigue phenomenon in riveted joints such as: important peculiarity of damage by multiple cracks is the cracks junction of adjacent rivet holes, which contributes, by jumping, to increase the degradation rate of assembly; the riveted joint model can be applied with good accuracy to estimate the durability of the structures inclusively to identify and prevent the cases of widespread fatigue damage.
The paper deals with the experimental analysis of the influence of the rivet parameters upon the fatigue strength of aircraft structures. Different riveted samples were tested on fatigue machine taking into account the diameter of the rivet and the forming pressure influence. By superposing the resulting Wöhler curves on the same graphic, some interesting conclusions were pointed.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.