The Book of Clyde with a Torque-ing Chapter.

Abstract

CLYDE is a computer language for your differential equations. It provides numerical solutions to an important class of second order elliptic partial differential equations (Laplace and Poisson) which appear in almost every branch of applied mechanics: governing the solutions to design problems in heat conduction, stress concentration, and potential fields (electric, magnetic, electrostatic, gravitation, irrotational fluid flow, etc..). There are three versions of CLYDE. This document describes the capabilities of the CDC 6000/TEKTRONIX 4014 storage tube graphics version (CLYDE-TEK) and the batch version (CLYDE-B) and also serves as a preliminary user's manual. An earlier version (CLYDE-274), written for the CDC 6500/1700/274 refresh graphics facility, is described in MISD Information Report 73-1, January 1973, and includes the extension of the solution to the fourth order stress analysis equation for flat plates. All CLYDE versions were written for CDC 6000 host computers under the SCOPE operating system with overlay structures. Two applications covered in detail in this document are steady state heat conduction and the membrane or soap film analogy of torsion of bars and shafts. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1977
Accession Number
ADA046155

Entities

People

  • Robert E. Barnas
  • Robert I. Isakower

Organizations

  • United States Army Armament Research, Development and Engineering Center

Tags

Communities of Interest

  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Boundary Value Problems
  • Cartesian Coordinates
  • Computations
  • Computer Programs
  • Computers
  • Difference Equations
  • Differential Equations
  • Electrostatic Fields
  • Equations
  • Grids
  • Mechanics
  • Operating Systems
  • Partial Differential Equations
  • Plastic Explosives
  • Shape
  • Steady State
  • Two Dimensional

Readers

  • Computer Science.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)