Statistical Analysis of CFRP Mechanical Properties using B-Basis Based on Weibull and ANOVA Distribution Analysis

Yurviany,; Tamaza, Diaz; Widagdo, Djarot; Kusni, Muhammad; Hadi, Bambang K.

doi:10.1088/1757-899x/852/1/012078

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…The advancements in this field have significantly enhanced our ability to predict material behavior. For instance, [20] employed both Weibull and ANOVA analyses to investigate the B-basis values of CFRP composites, highlighting the suitability of the Weibull distribution and the limitations of ANOVA in specific cases. Similarly, [21] developed a multi-linear regression model to predict debonding loads in composites and concrete, demonstrating superior accuracy compared to alternative approaches.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Earth-Air Heat Exchangers for Sustainable Summer Cooling and Winter Heating

Amine Khorchef,

Serier,

Benariba

2023

AMS

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This study utilized a full factorial design with three factors at two levels each: thermal conductivity, pipe length, and air velocity. We aimed to identify optimal EAHE configurations for both summer cooling (maximum air temperature reduction) and winter heating (maximum temperature increase). Distinct optimal conditions emerged for each season. For summer cooling and winter heating, optimal configurations involved high thermal conductivity, moderate pipe length, and minimal air velocity. Statistical analysis revealed pipe length as the most influential factor on temperature in both seasons, explaining over 59% of the variability in winter and 49.43% in summer. Air velocity exerted a significant impact, while thermal conductivity had a smaller but still important influence. These findings showcase the effectiveness of full factorial design in unraveling complex interactions and pinpointing key parameters for EAHE optimization.

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Section: Introductionmentioning

confidence: 99%

Optimizing Earth-Air Heat Exchangers for Sustainable Summer Cooling and Winter Heating

Amine Khorchef,

Serier,

Benariba

2023

AMS

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Manufacturing Parameters Optimization by Experimental Design of Bio Composite

Oumaima,

Lamis,

Fayrouz

et al. 2024

Lecture Notes in Mechanical Engineering

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Design allowables of composite laminates: A review

Cumbo¹,

Baroni²,

Ricciardi³

et al. 2022

Journal of Composite Materials

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The design and certification process of composite structures relies on the building-block approach, which starts from the mechanical characterization of the material at coupon-level. The certification of composite laminates is thus the first challenge and requires the definition of the design allowables, which are statistically defined as established by the Composite Material Handbook. These quantities are strength or strain values indicated as A- or B-basis and an accurate estimation is needed in order to guarantee the integrity of the structure. Given the statistical nature of material allowables, a high number of experimental tests have to be performed for the full mechanical characterization of a material. Notched and unnotched allowables are determined under different testing conditions and in accordance to the standards specified by American Society for Testing and Materials. Different methodologies are presented in literature and explore the combination of simulation-based solutions supported by test-evidence of a reduced number of coupons. In the recent years, several approaches have been explored in the field of uncertainty quantification and Machine Learning demonstrating to be powerful alternatives to full testing-based or simulation-based solutions. A comprehensive literature review is presented in this contribution among the main solutions for the definition of material allowables. This review demonstrates that simulations supported by a reduced number of tests can reach accurate results and the number of simulations can be further reduced by combining the numerical models with predicting theories.

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Statistical Analysis of CFRP Mechanical Properties using B-Basis Based on Weibull and ANOVA Distribution Analysis

Cited by 3 publications

References 2 publications

Optimizing Earth-Air Heat Exchangers for Sustainable Summer Cooling and Winter Heating

Optimizing Earth-Air Heat Exchangers for Sustainable Summer Cooling and Winter Heating

Manufacturing Parameters Optimization by Experimental Design of Bio Composite

Design allowables of composite laminates: A review

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