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Doctoral thesis . 2025
License: CC BY
Data sources: ZENODO
ZENODO
Thesis . 2025
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2025
License: CC BY
Data sources: Datacite
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Exploring BIM Capabilities for Life Cycle Assessment in Structural Projects: Towards Sustainable Material Choices

Authors: Selfa, Òscar;

Exploring BIM Capabilities for Life Cycle Assessment in Structural Projects: Towards Sustainable Material Choices

Abstract

This document corresponds to the original undergraduate dissertation submitted by Òscar Selfa to the Technological University Dublin (TU Dublin) on 7 January 2025, as part of the BSc (Hons) in BIM (Digital Construction).The study investigates the integration of Building Information Modelling (BIM), Finite Element Analysis (FEA), and Life Cycle Assessment (LCA) to support sustainable material selection in structural design. A case study of a traditional barraca valenciana is used to test three design scenarios with different structural materials. A technical summary is featured by Dlubal Software, including the RFEM files used in the analysis. Exploring BIM Capabilities for Life Cycle Assessment in Structural Projects: Towards Sustainable Material Choices An adapted version of this work will be published in the EUBIM 2025 International Conference Proceedings (https://www.eubim.com/).

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Keywords

Life Cycle Assestment, Sustainability, BIM, Structural Design, FEA, Carbon Footprint, Construction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
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