{"title":"Mechanical characterization and statistical study of experimental tensile test results of ABS specimens","authors":"Hassan Bouhsiss , Abderrazak En-naji , Abdelkarim Kartouni , Mohamed Elghorba","doi":"10.1016/j.chaos.2025.116107","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to characterize a plane ABS polymeric plate under uni-axial loading and assess the reliability of the obtained results using two distinct statistical methods. The first method, Student’s t-distribution, developed by William E. Gosset, is employed to determine confidence intervals and select the most reliable results. The second method, the Weibull distribution, introduced by Waloddi Weibull in 1951, provides insights into the dispersion of defects within the material. A lower Weibull modulus indicates greater dispersion, reflecting variations in survival and failure probabilities. To achieve a comprehensive understanding of the material’s behavior, different zones in the global tensile curves are identified. The elastic region ranges from 0 to 30.4 MPa, followed by the stable plastic zone from 30.4 to 36.7 MPa, and the unstable plastic zone from 36.7 to 36.9 MPa. By analyzing the survival and failure probabilities of both maximal and elastic stresses, the study seeks to ensure the reliability of the results and enhance predictive maintenance strategies. The findings contribute to optimizing the design and service life of ABS-based components, offering valuable insights into their mechanical performance under stress conditions. The combination of these statistical approaches provides a robust framework for evaluating mechanical reliability, aiding manufacturers in improving quality control and performance prediction of ABS structures. Ultimately, this research supports informed decision-making in engineering applications where ABS materials are employed.</div></div>","PeriodicalId":9764,"journal":{"name":"Chaos Solitons & Fractals","volume":"193 ","pages":"Article 116107"},"PeriodicalIF":5.3000,"publicationDate":"2025-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chaos Solitons & Fractals","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0960077925001201","RegionNum":1,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This study aims to characterize a plane ABS polymeric plate under uni-axial loading and assess the reliability of the obtained results using two distinct statistical methods. The first method, Student’s t-distribution, developed by William E. Gosset, is employed to determine confidence intervals and select the most reliable results. The second method, the Weibull distribution, introduced by Waloddi Weibull in 1951, provides insights into the dispersion of defects within the material. A lower Weibull modulus indicates greater dispersion, reflecting variations in survival and failure probabilities. To achieve a comprehensive understanding of the material’s behavior, different zones in the global tensile curves are identified. The elastic region ranges from 0 to 30.4 MPa, followed by the stable plastic zone from 30.4 to 36.7 MPa, and the unstable plastic zone from 36.7 to 36.9 MPa. By analyzing the survival and failure probabilities of both maximal and elastic stresses, the study seeks to ensure the reliability of the results and enhance predictive maintenance strategies. The findings contribute to optimizing the design and service life of ABS-based components, offering valuable insights into their mechanical performance under stress conditions. The combination of these statistical approaches provides a robust framework for evaluating mechanical reliability, aiding manufacturers in improving quality control and performance prediction of ABS structures. Ultimately, this research supports informed decision-making in engineering applications where ABS materials are employed.
期刊介绍:
Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.