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Developing intelligent and interactive HVAC pipe network system

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posted on 2021-11-22, 16:24 authored by Vijithan Srikandarajah
The research results in a validated toolkit for predicting HVAC pipe performance in terms of an ANN model that predicts corrosion rate in steel pipe while maintaining pipe performance.

History

School

  • Architecture, Building and Civil Engineering

Publisher

Loughborough University

Rights holder

© Vijithan Srikandarajah

Publication date

2021

Notes

A thesis submitted in partial fulfilment of the requirements for the award of the degree of Doctor of Philosophy of Loughborough University.

Language

  • en

Supervisor(s)

Mahroo Eftekhari

Qualification name

  • PhD

Qualification level

  • Doctoral

This submission includes a signed certificate in addition to the thesis file(s)

  • I have submitted a signed certificate

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    Architecture, Building and Civil Engineering Theses

    Categories

    Keywords

    HVAC Pipe Network SystemPipe CorrosionBuilt Environment and Design not elsewhere classified

    Licence

    CC BY-NC-ND 4.0

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