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Due to wide variation in the information obtained from experimentation, a statistical analysis of the data was conducted. Multiple regression techniques were employed and the significance of the individual variables was tested. This experimental program resulted in the development of response surfaces for the complex moduli of composite materials.","abstract_html":"The significance of the role of advanced composite materials in many engineering applications is increasing.Environmental effects on the material properties of composites is an important aspect of design considerations . To determine the long term influence of the individual contributions of time, temperature, and humidity on composite materials would require extensive numbers of specimens an:f tests. In order to isolate significant variables experiments have been designed for maximum utilization of specimens. Due to wide variation in the information obtained from experimentation, a statistical analysis of the data was conducted. Multiple regression techniques were employed and the significance of the individual variables was tested. 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To determine the long term influence of the individual contributions of time, temperature, and humidity on composite materials would require extensive numbers of specimens an:f tests. In order to isolate significant variables experiments have been designed for maximum utilization of specimens. Due to wide variation in the information obtained from experimentation, a statistical analysis of the data was conducted. Multiple regression techniques were employed and the significance of the individual variables was tested. 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To determine the long term influence of the individual contributions of time, temperature, and humidity on composite materials would require extensive numbers of specimens an:f tests. In order to isolate significant variables experiments have been designed for maximum utilization of specimens. Due to wide variation in the information obtained from experimentation, a statistical analysis of the data was conducted. Multiple regression techniques were employed and the significance of the individual variables was tested. 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