Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir

The potential of shell structures as elevated raft foundations to support extreme loads is investigated by exploring the influence of their shape on load-carrying capacity. Traditionally used mainly for roofing, the distribution of compression forces in shell structures has been underutilized in bui...

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Main Author: Abdul Nassir, Azizah
Format: Thesis
Language:English
Published: 2023
Subjects:
Online Access:https://ir.uitm.edu.my/id/eprint/88704/1/88704.pdf
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spelling my-uitm-ir.887042024-07-25T03:48:11Z Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir 2023 Abdul Nassir, Azizah Reinforced concrete The potential of shell structures as elevated raft foundations to support extreme loads is investigated by exploring the influence of their shape on load-carrying capacity. Traditionally used mainly for roofing, the distribution of compression forces in shell structures has been underutilized in building construction. To address this issue, the research develops and analyses thin shell models as exposed foundations under extreme loading, employing the Finite Element Analysis (FEA) method. The shape optimization process involves minimizing the maximum displacement using the gradient descent algorithm. Additionally, the study designs the reinforced concrete and checks the proposed dimensions for structural adequacy. Ten different shell models with various geometries are proposed and analysed, using LUSAS software and FEA to evaluate the maximum stresses and displacement. Among these models, three demonstrate feasible results, while seven exceed the yield strength of the material used. The best model, Model 3, and a control model, Model 1, undergo further optimization to determine the optimum volume and thickness through the gradient method. Reinforcement details are calculated to ensure the models meet structural integrity requirements. The study's outcomes highlight the potential of shell structures as elevated raft foundations, providing engineers with valuable references for future implementations. The research expands the current knowledge in this area, shedding light on the benefits of utilizing shell structures for extreme load support. By bridging the gap between the traditional use of shell structures and their versatility in different applications, this study contributes to the advancement of engineering practices in the field of foundation design and load-bearing structures. 2023 Thesis https://ir.uitm.edu.my/id/eprint/88704/ https://ir.uitm.edu.my/id/eprint/88704/1/88704.pdf text en public phd doctoral Universiti Teknologi MARA (UiTM) College of Engineering Yee, Hooi Min
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Yee, Hooi Min
topic Reinforced concrete
spellingShingle Reinforced concrete
Abdul Nassir, Azizah
Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
description The potential of shell structures as elevated raft foundations to support extreme loads is investigated by exploring the influence of their shape on load-carrying capacity. Traditionally used mainly for roofing, the distribution of compression forces in shell structures has been underutilized in building construction. To address this issue, the research develops and analyses thin shell models as exposed foundations under extreme loading, employing the Finite Element Analysis (FEA) method. The shape optimization process involves minimizing the maximum displacement using the gradient descent algorithm. Additionally, the study designs the reinforced concrete and checks the proposed dimensions for structural adequacy. Ten different shell models with various geometries are proposed and analysed, using LUSAS software and FEA to evaluate the maximum stresses and displacement. Among these models, three demonstrate feasible results, while seven exceed the yield strength of the material used. The best model, Model 3, and a control model, Model 1, undergo further optimization to determine the optimum volume and thickness through the gradient method. Reinforcement details are calculated to ensure the models meet structural integrity requirements. The study's outcomes highlight the potential of shell structures as elevated raft foundations, providing engineers with valuable references for future implementations. The research expands the current knowledge in this area, shedding light on the benefits of utilizing shell structures for extreme load support. By bridging the gap between the traditional use of shell structures and their versatility in different applications, this study contributes to the advancement of engineering practices in the field of foundation design and load-bearing structures.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Abdul Nassir, Azizah
author_facet Abdul Nassir, Azizah
author_sort Abdul Nassir, Azizah
title Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
title_short Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
title_full Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
title_fullStr Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
title_full_unstemmed Numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / Azizah Abdul Nassir
title_sort numerical optimization of elevated thin reinforced concrete shell structures subjected to extreme loading / azizah abdul nassir
granting_institution Universiti Teknologi MARA (UiTM)
granting_department College of Engineering
publishDate 2023
url https://ir.uitm.edu.my/id/eprint/88704/1/88704.pdf
_version_ 1811768725091647488