Automatic differentiation of the TACO2D finite element code using ADIFOR

Technical Report · Mon Apr 01 00:00:00 EST 1996

DOI:https://doi.org/10.2172/238579· OSTI ID:238579

Carle, A; Fagan, M ^[1]

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1. Rice Univ., Houston, TX (United States)

The need for sensitivities in particular applications is becoming increasingly important in problems such as optimal design or control. In this study, the authors use ADIFOR to generate derivative code for TACO2D, a finite element heat transfer code. The study of TACO2D indicates that ADIFOR-generated derivatives yield accurate derivatives at a fraction of the time requirements of finite difference approximations, and space requirements proportional to the number of variables. The primary focus on TACO2D was for the design of chemical vapor deposition reactors.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Rice Univ., Houston, TX (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 238579
• Report Number(s): SAND-96-8226; ON: DE96010288; TRN: AHC29612%%129
• Resource Relation: Other Information: PBD: Apr 1996
• Country of Publication: United States
• Language: English

Related Subjects

99 MATHEMATICS
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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION
36 MATERIALS SCIENCE
CHEMICAL REACTORS
T CODES
COMPUTER-AIDED DESIGN
MATERIALS
CHEMICAL VAPOR DEPOSITION
A CODES
FINITE ELEMENT METHOD
HEAT TRANSFER
AUTOMATION
OPTIMIZATION
DIFFERENTIAL EQUATIONS