Mechanical characterization and statistical study of experimental tensile test results of ABS specimens

Hassan Bouhsiss, Abderrazak En-naji, Abdelkarim Kartouni and Mohamed Elghorba

Chaos, Solitons & Fractals, 2025, vol. 193, issue C

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.

Keywords: ABS polymeric plate; Uni-axial solicitation; Statistical analysis; Reliability; Student’s distribution; Weibull distribution; Elastic zone; Plastic zone; Global tensile curves; Likelihood of surviving and failing; Predictive maintenance (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:193:y:2025:i:c:s0960077925001201

DOI: 10.1016/j.chaos.2025.116107

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