SBIR-STTR Award

Reliability-Based Modeling and Analysis of Advanced Composites
Award last edited on: 11/12/2002

Sponsored Program
STTR
Awarding Agency
DOD : Army
Total Award Amount
$550,000
Award Phase
2
Solicitation Topic Code
A97T009
Principal Investigator
Robert G Tryon

Company Information

Paul Holland and Associates Inc (AKA: Energy Architects)

5123 Virginia Way, Suite C-21
Brentwood, TN 37027
   (615) 221-9022
   info@energyarchitects.com
   www.energyarchitects.com

Research Institution

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Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
1997
Phase I Amount
$100,000
The proposed research will develop a probabilistic analysis framework incorporating current aerostructure industry composite laminate design methodologies to predict the reliability of composite structures. The research will consider the reliability ased composite design methodology as being divided into two distinct but closely coupled modeling techniques. The first is the structural model which uses finite element analysis to determine the global and ply level response of the structure. The second modeling technique is the failure models which are closely coupled with the structural model. The failure models which address both initial and progressive damage, may be in the form of maximum stress/strain, interactive criteria, or more specific models which have been developed by the aerostructure manufacturers. Using an iteractive process, the damage states will be incorporated into the structural models to determine the distribution of stiffness reduction and delamination buckling loads. System reliability methods such as branch and bound technique and efficient Monte Carlo simulation will be used with probabilistic finite element methos\ds to determine progressive damage states and residual strength. The research will link state-of-th-art laminate design techniques with failure models. This effort has the potential for applicaiton to the engineering tasks required for the development of new rotorcraft using modern composite materials and technologies, and is especially relevant to the areas of damage tolerance and crashwothiness. The proposed research will yield a methodology and software that would greatly improve both our physical understanding and analytical capability in this area.

Keywords:
composite, laminate, impact, dynamic analysis, statistics, probability, progressive failure

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
1998
Phase II Amount
$450,000
The proposed research will develop a probabilistic analysis framework incorporating current aerostructure industry composite laminate design methodologies to predict the reliability of composite structures. The research will develop a software package capable of performing system reliability-based risk assessment under conditions of variable uncertainty. The program will link with existing analytical software programs based on finite element analysis. The reliability analysis will include response surface methods and mean value methods. Response surface methods are employed to develop the complete cumulative distribution function for the component or system reliability over a wide range of cyclic lives. Mean value methods shall employed to estimate reliability at specific life intervals. The software will be capable of conducting the analyses with both non-normal and correlated random variables. Probabilistic system reliability methods will be developed to allow for the consideration of multiple failure modes acting simultaneously. Specific software modules will be developed to address delamination onset occurring at various sites as well as delamination growth in multiple directions. The research will also address the system reliability under spectral loading with uncertainty, as well as failure due to buckling.

Benefits:
The research will result in a computer software package that translates the developed methodology into an efficient, easy to use design tool. The software would enable engineers to predict component reliability, system reliability, identity and prioritize the parameters which drive reliability, and optimize the structural design of composite components. The development of a software tool capable of accurately predicting product reliability with minimal testing would significantly reduce product cost and development time.

Keywords:
composite laminate progressive failure reliability uncertainty design methods delamination buckling