Probabilistic structural analysis methods for space propulsion system components

Probabilistic structural analysis methods for space propulsion system components by C. C. Chamis Download PDF EPUB FB2

PROBABILISTIC STRUCTURAL ANALYSIS METHODS (PSAM) The focus of the PSAM contractual effort (refs. 4, 5, and 9 to 21) is to develop analysis methods and computer programs for predicting the probabilistic response of critical structural components for current and future space pro- pulsion systems.

Probabilistic Structural Analysis Methods Probabilistic structural analysis methods for space propulsion system components book for Select Space Propulsion System Components is a research and technology program sponsored by the National Aeronautics and Space Administration - Lewis Research Center (NASA-LeRC).

The main objective of this effort is the development of advanced probabilistic structural analysis Probabilistic structural analysis methods for space propulsion system components book, which combine the versatility of modernfinite element methodswith the latest developments in the areas of probabilistic modeling and structural reliability.

PROBABILISTIC STRUCTURAL ANALYSIS METHODS (PSAM) The focus of the PSAM contractual effort4,5, is to develop analysis methods and computer programs for predicting the probabilistic response of critical structural components for current and future space propulsions by: The NESSUS code will be verified by Its application to four selected space propulsion system hardware items.

These will include the turbine blade, transfer duct, LOX post, and the high pressure oxidizer duct. Experimental data to support the analyses will be compiled and statistically modeled. Probabilistic structural analysis methods for select space propulsion system structural components (PSAM) Probabilistic structural analysis methods for improving Space Shuttle engine reliability.

Boyce ; Journal of Propulsion and Power Vol. 5, No. 4 July perform probabilistic analysis of structures.

These components include: an expert system, a probabilistic finite element code, a probabilistic boundary element code and a fast probability integrator.

The NESSUS software system is shown in figure 1. An expert system is included to capture and utilize PSAM knowledge and experience.

PROBABILISTIC STRUCTURAL ANALYSIS METHODS (PSAM) Overview of PSAM algorithm NESSUS has three functional modules: Probabilistic structural analysis methods for space propulsion system components book, FEM and FPI. The PRE (pre-processor) module is responsible for generating independent random variables based on the information of marginal distributions and correlation coefficients[l].Cited by: Burnsick, O.H., "Probabilistic Structural Analysis for Space Propulsion System Components," Advances in Aerospace Structural Analysis, AD (Proceedings of Symposium Probabilistic structural analysis methods for space propulsion system components book Probabilistic.

The structural analysis packages include stochastic modeling of loads, material properties, geometry (e.g. tolerances), and boundary conditions. The structural analysis solution is in terms of the cumulative distribution function (CDF) and confidence bounds. Two methods of probability modeling are included in the analysis by: Probabilistic structural analysis methodology and applications to advanced space propulsion system components.

The development of reliability-based design methods requires the development and use of general purpose structural analysis tools that predict the uncertainty of structural response due to uncertainties in a full range of design Cited by: 5.

Probabilistic Structural Analysis Methods (PSAM) for select space propulsion system components, part 2. A library of structural resistance models is implemented in the Numerical Evaluations of Stochastic Structures Under Stress (NESSUS) code that included fatigue, fracture, creep, multi-factor interaction, and other important effects.

Probabilistic Structural Analysis Methods (PSAM) for select space propulsion system structural components. The purpose in doing probabilistic structural analysis is to provide the designer with a more realistic ability to assess the importance of uncertainty in the response of a high performance structure.

Probabilistic Structural Analysis Author: T. Cruse. Abstract. Development of reliability and risk methods for structural components and structures is a major activity at Lewis Research Center.

It consists of six program elements: (1) probabilistic loads, (2) probabilistic finite element analysis, (3) probabilistic material behavior, (4) assessment of reliability and risk, (5) probabilistic structural performance evaluation, and (6) extension to Author: C.

Chamis. Probabilistic structural analysis methodology The response surface g(u) = 0 in Fig. 2 is generally a nonlinear function of the two random variables and results from mapping Z(X)= constant into the new variable space.

The most probable point (MPP) is given by the point on g(u) = Cited by: 5. The paper reports on recent extensions to ongoing research into probabilistic structural analysis modeling of advanced space propulsion system hardware. The advances concern probabilistic dynamic loading, and probabilistic nonlinear material : T.

Cruse, J. Unruh, Y.-T. Wu, S. Harren. “Probabilistic Structural Analysis for Select Space Propulsion System Structural Components.” Annual Report by Southwest Research Institute, Rocketdyne, University of Arizona, Marc Analysis Corporation and Columbia University for NASA Lewis Research Center, Contract NAS3–, ().Cited by: 3.

The development of a three-dimensional inelastic analysis methodology for the Space Shuttle main engine (SSME) structural components is described. The methodology is composed of: (1) composite load spectra, (2) probabilistic structural analysis methods, (3) the probabilistic finite element theory, and (4) probabilistic structural : Christos C.

Chamis. Probabilistic Structural Analysis Methods for select space propulsion system structural components (PSAM) By J. Dias, T. Cruse, The purpose in doing probabilistic structural analysis is to provide the designer with a more realistic ability to assess the importance of uncertainty in the response of a high performance structure.

Advanced probabilistic structural analysis method for implicit performance functions. Methods for efficient probabilistic analysis of systems with large number of random variables. Y.-T. Wu; Probabilistic structural analysis methods for improving Space Shuttle engine reliability.

Chamis C. “Probabilistic Structural Analysis Methods for Space Propulsion System components”, presented in 3rd Space System Technology AIAA Conference, San Diego, California, June, Google ScholarCited by: 1. Get this from a library. Probabilistic structural analysis methods for space propulsion system components.

[C C Chamis; United States. National Aeronautics and Space Administration.]. NASA Technical Reports Server (NTRS) Probabilistic Structural Analysis Methods (PSAM) for select space propulsion system components. NASA Technical Reports Server (NTRS) Probabilistic structural analysis methods for select space propulsion system components The Probabilistic Structural Analysis Methods (PSAM) project developed at the Southwest Research Institute integrates state-of-the-art structural analysis techniques with probability theory for the design.

NASA Technical Reports Server (NTRS) Probabilistic Structural Analysis Methods (PSAM) for select space propulsion system structural components Item Preview remove-circle Probabilistic Structural Analysis Method (PSAM) tools will estimate structural safety and reliability, while providing the engineer with information on the.

Christos C. Chamis (NASA Lewis Research Center, Cleveland, OhioUSA), “Probabilistic structural analysis methods for space propulsion system components”, Probabilistic Engineering Mechanics, Vol. 2, No.2,File Size: KB. Get this from a library. Probabilistic Structural Analysis Methods (PSAM) for select space propulsion system components.

[Southwest Research Institute.; Lewis Research Center.;]. A brief description is provided of the fundamental aspects of a quantification process. Progress since the last structural durability conference in is summarized.

The methodology to date and that to be developed during the life of the program is presented. The uncertain factors are presented. The approach is outlined that is required to achieve component and/or system certification in the Cited by: 1.

The current work describes a method for incorporating random PSD’s along with random material properties, damping, and structural geometry. The probabilistic material response is concerned with the prediction of nonlinear stress-strain behavior for physical processes that can be linked to the original microstructure of the by: 6.

Get this from a library. Probabilistic structural analysis methods (PSAM) for select space propulsion system components: (4th annual report). [United States. National Aeronautics and Space. Journal of Aerospace Information Systems; Journal of Air Transportation; Journal of Aircraft; Journal of Guidance, Control, and Dynamics Structural Dynamics, and Materials and Co-located Conferences Home Probabilistic structural analysis of space propulsion system LOX post.

Several formulations for Probabilistic Finite Element Analysis (PFEA) are described with emphasis on the selected formulation. The strategies being implemented in the first-version computer code to perform linear, elastic PFEA is described.

The results of a series of select Space Shuttle Main Engine (SSME) component surveys are presented. Heller R.A., Thangjitham S. () A Survey of Probabilistic Service Life Prediction Methods for Structures.

In: Spanos P.D., Wu YT. (eds) Probabilistic Structural Mechanics: Advances in Structural Reliability : R. Heller, S. Thangjitham. Development of reliability and risk methods for structural components and structures is a major activity at Lewis Research Center. It consists of six program elements: (1) probabilistic loads, (2.

Chamis C.C. (), Probabilistic Structural Analysis Methods for Space Propulsion System Components, Probabilistic Engineering Mechanics, 2, – CrossRef Google ScholarAuthor: F. Casciati. “A Probabilistic Approach to the Evaluation of Fatigue Damage in a Space Propulsion System Injector Element,” Proceedings of the 33rd Structures, Structural Cited by: 5.

The Probabilistic Structures Analysis Method (PSAM) program integrates state of the art probabilistic algorithms with structural analysis methods in order to quantify the behavior of Space Shuttle Main Engine structures subject to uncertain loadings, boundary conditions, material parameters, and geometric conditions.

An advanced, efficient probabilistic structural analysis software program Cited by: 1. Get this from a library. Probabilistic structural analysis methods for select space propulsion system components (PSAM). Volume II, Literature surveys of critical Space Shuttle main engine components.

[Kumbakonam Ramamani Rajagopal; United States. National Aeronautics and Space Administration.]. American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA Journal of Propulsion and Power; Journal of Spacecraft and Rockets; Journal of Thermophysics and Heat Transfer; Probabilistic Approach for Integrated Structural Control Design.

Giovanni Mengali and Cited by: 3. InNASA initiated the Pdf Structural Analysis Methods (PSAM) project at Glenn Research Center to develop analysis methods and computer programs for the probabilistic structural analysis of select engine components for current Space Shuttle and future space propulsion systems.J.B.

Dias's 3 research works with 49 citations and 23 reads, including: Application of Probabilistic Structural Modelling to Elastoplastic and Transient Analysis.InNASA initiated the Probabilistic Structural Analysis Methods (PSAM) project ebook Glenn Research Center to develop analysis methods and computer programs for the probabilistic structural analysis of select engine components for current Space Shuttle and future space propulsion systems.

NASA envisioned that these methods and computational.