Concurrent Probabilistic Simulation of High Temperature Composite Structural Response


Book Description

A computational structural/material analysis and design tool which would meet industry's future demand for expedience and reduced cost is presented. This unique software 'GENOA' is dedicated to parallel and high speed analysis to perform probabilistic evaluation of high temperature composite response of aerospace systems. The development is based on detailed integration and modification of diverse fields of specialized analysis techniques and mathematical models to combine their latest innovative capabilities into a commercially viable software package. The technique is specifically designed to exploit the availability of processors to perform computationally intense probabilistic analysis assessing uncertainties in structural reliability analysis and composite micromechanics. The primary objectives which were achieved in performing the development were: (1) Utilization of the power of parallel processing and static/dynamic load balancing optimization to make the complex simulation of structure, material and processing of high temperature composite affordable; (2) Computational integration and synchronization of probabilistic mathematics, structural/material mechanics and parallel computing; (3) Implementation of an innovative multi-level domain decomposition technique to identify the inherent parallelism, and increasing convergence rates through high- and low-level processor assignment; (4) Creating the framework for Portable Paralleled architecture for the machine independent Multi Instruction Multi Data, (MIMD), Single Instruction Multi Data (SIMD), hybrid and distributed workstation type of computers; and (5) Market evaluation. The results of Phase-2 effort provides a good basis for continuation and warrants Phase-3 government, and industry partnership. Abdi, Frank Glenn Research Center COMPOSITE MATERIALS; APPLICATIONS PROGRAMS (COMPUTERS); STRUCTURAL ANALYSIS; PARALLEL PROCESSING (COMPUTERS); STRUCTURAL RELIABILITY; PROBABILITY THEORY; RELIABILITY ANALYSIS; MA...







Engineering Design Reliability Handbook


Book Description

Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality. Considering the lack of comprehensive and defini




Fracture Mechanics of Metals, Composites, Welds, and Bolted Joints


Book Description

In the preliminary stage of designing new structural hardware to perform a given mission in a fluctuating load environment, there are several factors that the designer should consider. Trade studies for different design configurations should be performed and, based on strength and weight considerations, among others, an optimum configuration selected. The selected design must withstand the environment in question without failure. Therefore, a comprehensive structural analysis that consists of static, dynamic, fatigue, and fracture is necessary to ensure the integrity of the structure. Engineers must also consider the feasibility of fabricating the structural hardware in the material selection process. During the past few decades, fracture mechanics has become a necessary discipline for the solution of many structural problems in which the survivability of structure containing pre-existing flaws is of great interest. These problems include structural failures resulting from cracks that are inherent in the material, or defects that are introduced in the part due to improper handling or rough machining, that must be assessed through fracture mechanics concepts.







Monthly Catalog of United States Government Publications


Book Description

February issue includes Appendix entitled Directory of United States Government periodicals and subscription publications; September issue includes List of depository libraries; June and December issues include semiannual index







Probabilistic Simulation of Multi-Scale Composite Behavior


Book Description

A methodology is developed to computationally assess the non-deterministic composite response at all composite scales (from micro to structural) due to the uncertainties in the constituent (fiber and matrix) properties, in the fabrication process and in structural variables (primitive variables). The methodology is computationally efficient for simulating the probability distributions of composite behavior, such as material properties, laminate and structural responses. Bi-products of the methodology are probabilistic sensitivities of the composite primitive variables. The methodology has been implemented into the computer codes PICAN (Probabilistic Integrated Composite ANalyzer) and IPACS (Integrated Probabilistic Assessment of Composite Structures). The accuracy and efficiency of this methodology are demonstrated by simulating the uncertainties in composite typical laminates and comparing the results with the Monte Carlo simulation method. Available experimental data of composite laminate behavior at all scales fall within the scatters predicted by PICAN. Multi-scaling is extended to simulate probabilistic thermo-mechanical fatigue and to simulate the probabilistic design of a composite redome in order to illustrate its versatility. Results show that probabilistic fatigue can be simulated for different temperature amplitudes and for different cyclic stress magnitudes. Results also show that laminate configurations can be selected to increase the redome reliability by several orders of magnitude without increasing the laminate thickness--a unique feature of structural composites. The old reference denotes that nothing fundamental has been done since that time.







Multi-Disciplinary Development of a Smart CMC Combustor for an Intelligent Engine System


Book Description

The findings are described of an investigation to determine the feasibility of utilizing temperature and/or strain and stress sensor data in a computer program to monitor the health, in real time, of a ceramic gas turbine combustor operating at elevated temperatures (greater than 20,000 F). The ultimate purpose is to provide feedback to initiate corrective action should a threat to combustor health occur. This investigation evaluates the feasibility of the following: (1) Selection of sensor technology and CMC material for potential use in developing a smart CMC combustor, (2) development of a finite element simulation model of a sensor equipped, smart, CMC combustor based on and verified with test data, (3) use of simulation model and GENOA, NESSUS and CEMCAN available computer codes, to calibrate, and perform: (1) finite element analysis to predict CMC combustor structural response under load, (2) probabilistic analysis of the CMC combustor operating with benefit of sensor input, (3) probabilistic determination of sensor influence coefficients needed to enhance existing CEMCAN code capability for prediction of the structural response of a CMC combustor with embedded sensors, (4) modification of existing CMC data bank using CEMCAN to account for material property changes due to embedded sensors, and (5) use of GENOA to assist in design of a ceramic combustor for a gas turbine engine. Results obtained establish the feasibility of every item enumerated above.