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Friday, November 13, 2020 | History

3 edition of Probabilistic structural analysis of aerospace components using NESSUS found in the catalog.

Probabilistic structural analysis of aerospace components using NESSUS

Michael C. Shiao

Probabilistic structural analysis of aerospace components using NESSUS

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  • 4 Currently reading

Published by For sale by the National Technical Information Service in [Washington, D.C.] : NASA, [Springfield, Va .
Written in English

    Subjects:
  • Encyclopaedia of mathematical sciences. -- Probability theory

  • Edition Notes

    StatementMichael C. Shiao and Vinod K. Nagpal and Christos C. Chamis ; presented at the 29th Structures, Structural Dynamics and Materials Conference cosponsored by the AIAA, ASME, ASCE, AHS, and ACS, Williamsburg, Virginia, April 18-20, 1988.
    SeriesNASA technical memorandum -- 102324.
    ContributionsNagpal, V., Chamis, C. C., United States. National Aeronautics and Space Administration.
    The Physical Object
    Pagination1 v.
    ID Numbers
    Open LibraryOL17630358M
    OCLC/WorldCa62892521

    When it became clear that computers were going to be flying commercial aircraft, NASA began funding research to figure out how to make them reliable enough for the task. Part of that effort was the SIFT project at SRI. This project was perhaps most notable for producing the Byzantine generals problem and its solutions, first [ ]Cited by:


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Probabilistic structural analysis of aerospace components using NESSUS by Michael C. Shiao Download PDF EPUB FB2

PROBABILISTIC STRUCTURAL ANALYSIS OF AEROSPACE COMPONENTS USING NESSUS Michael C. Shiao* and Vinod K. Nagpalt Sverdrup Technology, Inc. NASA Lewis Research Center Group Cleveland, Ohio and Christos C.

Chamis National Aeronautics and Space Administration Lewis Research Center Cleveland, Ohio Summary. Probabilistic structural analysis of a Space Shuttle main engine turbopump blade is conducted using the computer code NESSUS (numerical evaluation of stochastic structures under stress).

Get this from a library. Probabilistic structural analysis of aerospace components using NESSUS. [Michael C Shiao; V Nagpal; C C Chamis; United States. National Aeronautics and Space Administration.]. Probabilistic engineering analysis using the NESSUS software Article in Structural Safety 28() April with Reads How we measure 'reads'.

Probabilistic Structural Analysis and Reliability Using NESSUS With Implemented Material Strength Degradation Model Callie C.

Bast, Mark T. Jurena, and Cody R. Godines University of Texas, San Antonio, San Antonio, Texas Prepared under Grant NAG Probabilistic structural analysis of aerospace components using NESSUS book Aeronautics and Space Administration Glenn Research Center July The steps needed to solve a reliability problem in NESSUS include: (1) develop the functional relationships that define the model, (2) define the random variable inputs, (3) define the numerical models needed in the functional relationship, (4) perform parameter variation studies to check and understand the deterministic behavior of the model, (5) perform the probabilistic analysis, and (6 Cited by: NESSUS is a general-purpose, probabilistic analysis program that simulates variations and uncertainties in loads, geometry, material behavior and other user-defined inputs to compute probability of failure and probabilistic sensitivity measures of engineered systems.

Because NESSUS uses highly efficient and accurate probabilistic analysis methods, probabilistic solutions can be obtained even. Probabilistic structural analysis methods and applications Fig. Probability of exceedance contours for effective stress being greater than a pre-specified level. sitivity data.

This information can be used to great advantage in improving the reliability of a component with known failure history, at a critical by:   NESSUS is a general-purpose software program for probabilistic analysis with original development beginning in the s as part of a year NASA project focused on predicting risk and reliability of space shuttle main engine components.

NESSUS now includes a streamlined graphical interface, 16 different reliability methods, interfaces to many.

American Institute of Aeronautics and Astronautics Sunrise Valley Drive, Suite Reston, VA InNASA initiated the Probabilistic 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.

SwRI: NESSUS was initially developed by SwRI for NASA for probabilistic analysis of space shuttle main engine components. We continue to develop and apply NESSUS to a diverse range of problems including aerospace structures, automotive structures, biomechanics, gas turbine engines, geomechanics, nuclear waste packaging, offshore structures, pipelines, and rotordynamics.

The Numerical Evaluation of Stochastic Structures under Stress (NESSUS) is the primary computer code being developed in the NASA Probabilistic Structural Analysis Methods (PSAM) project.

It consists of four modules NESSUS/EXPERT, NESSUS/FPI, NESSUS/PRE and NESSUS/FEM. This presentation concentrates on EXPERT and FPI. Master how to perform IT infrastructure security Vulnerability Assessments using Nessus with tips and insights from real world challenges faced during Vulnerability Assessment About This Book Understand the basics of vulnerability assessment and penetration testing as well as the different types of testing Successfully install Nessus and configure scanning options Learn useful tips based on /5(9).

These programs form a material‐resistance model used in an aerospace structural‐reliability program NESSUS. A probabilistic material‐degradation model, in the form of a postulated randomized multifactor interaction equation, is used to quantify lifetime material strength.

These programs form a “material resistance” model that may be used in the aerospace structural reliability program, NESSUS or in other applications.

A probabilistic material strength degradation model for thermal fatigue and other relevant effects, in the form of a postulated randomized multifactor interaction equation, is used to quantify Cited by: 1. Reliability of Welded Structures Containing Cracks in Heat-Affected Zones H., Wu, Y.

T., Torng, T., Thacker, B., Riha, D., and Leung, C. P.,“Recent Development of the NESSUS Probabilistic Structural Analysis Computer Program,” Proc A Comparative Evaluation of Fatigue and Fracture Characteristics of Structural Components of Cited by: 2. This paper presents a novel procedure based on first-order reliability method (FORM) for structural reliability analysis with hybrid variables, that is, random and interval variables.

This method can significantly improve the computational efficiency for the abovementioned hybrid reliability analysis (HRA), while generally providing sufficient by: 1. Continuous View (CV) has the ability to monitor vulnerability information detected by Nessus and NNM.

The components in the Vulnerability Trend dashboard present trend data about new detected vulnerabilities on the network. This includes information such as day trends of new vulnerabilities by severity, exploitability, CVSS score.

Airframes in the future will include a significant amount of composite material components that need to be designed for both optimal structural efficiency and damage tolerance.

Current composite design methodology relies on the establishment of worst-case scenarios for each of the factors that influence the structural capacity and life of Author: Alexander Q. Weintraub, Kenneth M.

Furnes, Preston R. Bates, Mark R. Gurvich, Nathaniel E. Bordick. In the current, increasingly aggressive business environment, crucial decisions about product design often involve significant uncertainty. Highlighting the competitive advantage available from using risk-based reliability design, Engineering Design Reliability Applications: For the Aerospace, Automotive, and Ship Industries provides an overview of how to apply probabilistic approaches and.

Full text of "NASA Technical Reports Server (NTRS) Structural Integrity and Durability of Reusable Space Propulsion Systems" See other formats. Buy Nessus Professional. Nessus® is the most comprehensive vulnerability scanner on the market today. Nessus Professional will help automate the vulnerability scanning process, save time in your compliance cycles and allow you to engage your IT team.

Buy a multi-year license and save. of the NESSUS software was the probabilistic calculator. NASA Glenn Research Center’s optimization testbed CometBoards was used as the optimizer.

The optimization capability required a deterministic finite element structural model and probabilistic models for material properties, thermo-mechanical load and design : Surya N. Patnaik, Shantaram S. Pai, Rula M. Coroneos. An important step in the design and verification process of spacecraft structures is the coupled dynamic analysis with the launch vehicle, also referred to as coupled loads analysis (CLA).

The objective of such analyses is the computation of the dynamic environment of the spacecraft (payload) in terms of interface accelerations, interface forces, center of gravity (CoG) accelerations as well.

Analysis of Structural Failures in Spacecraft using NESSUS to map numerical models with the probabilistic response of the system. Performed thermo-structural analysis on advanced hypersonic vehicles to predict probability of failure due to imprecision in manufacturing (material properties and geometry variability)Title: Freelance Editor and Proofreader.

active scanning using NIC whois querying and Nmap. After mapping the accessible network services of a host, we investigate for known vulnerabilities using the Nessus [9] and OpenVas [10] vulnerability scanners. These four tools, to which we collectively refer as reconnaissance and vulner-ability scanners, give a more detailed view of the.

Despite this, little has been published in book form on the topic. Spacecraft Reliability and Multi-state Failures addresses this gap in the literature, offering a unique focus on spacecraft reliability based on extensive statistical analysis of system and subsystem anomalies and failures.

Big science and ambitious industrial projects continually push forward with technical requirements beyond the grasp of conventional engineering techniques. Example of those are ultra-high precision requirements in the field of celestial telescopes, particle accelerators and aerospace industry.

Such extreme requirements are limited largely by the capability of the metrology used, namely, it’s Author: Iordan Petrov Doytchinov. Using the enhanced risk analysis tool and material constants calibrated to IN data, the effect of TDCG on the risk of fracture in turboengine components was demonstrated for a generic rotor.

In SwRI initiated development of the DARWIN® probabilistic analysis software. As compared to NESSUS, which is a general-purpose probabilistic analysis code, DARWIN (Design Assessment of Reliability With INspection) is a tailored code for performing probabilistically based damage tolerance analysis of gas turbine engine rotor disks [10–12].

Probabilistic analysis aims at providing an assessment of cracked structures and taking relevant uncertainties into account in a rational quantitative manner. The main focus of this research work is on uncertainties aspect which relates with the nature of crack in materials.

By using cracked structures modelling, finite element calculation, generation of adaptive mesh, sampling of cracked Cited by: 2. How is Numerical Evaluation of Stochastic Structures Under Stress abbreviated.

NESSUS stands for Numerical Evaluation of Stochastic Structures Under Stress. NESSUS is defined as Numerical Evaluation of Stochastic Structures Under Stress somewhat frequently. reliability problem in a real structural system, in this specific case a spacecraft docking lock, to demonstrate the effective-ness of the proposed method.

Traditional Structural Reliability Analysis In the reliability design and analysis of structures, the limit-state function G X is always constructed according to specified by: 1. Handbook of Uncertainty Quantification Roger Ghanem, David Higdon, Houman structural theorem covariance correlation Post a Review You can write a book review and share your experiences.

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Fig. 3 LMS AMESim 4. The Problems Caused By SiteLock Using Nessus as Their Vulnerability Scanner The other day we mentioned how we often have people that contact us about situations where the web security company SiteLock has contacted them claiming that their website has malware, but SiteLock has not provided any evidence of that.Static analysis is increasingly used to look for hidden de-fects in industrial software.

The commercialization of tools like Coverity Prevent [9] or CodeSonar [12], which have been shown to scale to large code bases and nd real bugs, helped popularize static Cited by: 3.