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Composite Material Property Database Using Smooth Specimens to Generate Design Allowables with Uncertainty Estimation

Published

Author(s)

Pranav D. Shah, Jose D. Melo, Carlos A. Cimini, Jeffrey Fong

Abstract

In developing composite material property database, three categories of data are needed. Category 1 consists of all raw test data with detailed information on specimen preparation, test machine description, specimen size and number per test, test loading history including temperature and humidity, etc., test configuration such as strain gage type and location, grip description, etc. Category 2 is the design allowable derived from information contained in Category 1 without making further experimental tests. Category 3 is the same design allowable for applications such that new experiments prescribed by user to obtain more reliable properties for the purpose on hand. At present, most handbook-based composite material property databases contain incomplete information in Category 1 (raw data), where a user is given only the test average values of properties such as longitudinal, transverse, and shear moduli, major and out-of-plane Poisson's ratios, longitudinal tensile and compressive, transverse tensile and compressive, and shear strengths, inter-laminar shear strength, ply thickness, hygro-thermal expansion coefficients, specific gravity, fiber volume fraction, etc. The presentation in Category 1 ignores the inclusion of the entire test environment description necessary for a user to assess the uncertainty of the raw data.
Proceedings Title
Proceedings of PVP2010
Conference Dates
July 18-22, 2010
Conference Location
Bellevue, WA, US
Conference Title
2010 ASME Pressure Vessels and Piping Division Conference

Keywords

composite materials, materials property database, statistical analysis

Citation

Shah, P. , Melo, J. , Cimini, C. and Fong, J. (2010), Composite Material Property Database Using Smooth Specimens to Generate Design Allowables with Uncertainty Estimation, Proceedings of PVP2010, Bellevue, WA, US, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=905378 (Accessed December 8, 2023)
Created July 18, 2010, Updated October 12, 2021