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Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation./
Author:	Panahi, Hadi.
Description:	1 online resource (177 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
Subject:	Load. -
Online resource:	click for full text (PQDT)
ISBN:	9798380268158

Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation.
Panahi, Hadi.

Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation. - 1 online resource (177 pages)

Source: Dissertations Abstracts International, Volume: 85-03, Section: B.

Thesis (Ph.D.)--Queen's University (Canada), 2023.

Includes bibliographical references

In reinforced concrete (RC) flat plate systems, slab-column connections are critical components, susceptible to brittle punching shear failure under seismic actions. The current code provisions for the design of RC flat slabs are generally based on empirical formulations derived from tests, thus, in modern research, finite element analysis (FEA) can complement experimental testing to provide valuable insights into the failure of those connections, potentially leading to improved design codes. The present Ph.D. research aims to develop numerical and analytical approaches to capture the hysteretic response of interior RC slabcolumn connections in two-way flat slabs without shear reinforcement. While FE software packages have broad applications, available constitutive concrete material models have limitations in capturing the complex seismic behaviour of connections.In this study, various numerical techniques are employed to simulate the punching shear behaviour of slabs at both macro- and micro-scale material levels, utilizing three non-linear FEA software packages: ABAQUS2017, OpenSees3.3.0, and ATENA 3DV5. The simulations examine the performance of existing constitutive material models in reproducing the response of previously tested connections subjected to gravity loads or a combination of gravity and lateral monotonic/cyclic loadings. The results revealed that the available numerical models are a valuable tool for characterising the failure mechanism and behaviour of slabs under gravity and monotonic lateral loadings and the parametric studies examined the effect of reinforcement ratio. However, the calibrated models induced by monotonic loadings exhibit significant discrepancies in reproducing the hysteretic behaviours of connections. To address these limitations, a dataset of previously tested experiments was compiled to predict the ultimate load and drift of the connections using a multi-variate non-linear regression model. Additionally, there is a need to develop a new constitutive material model for the seismic performance assessment of the connections to capture the complete hysteretic response using numerical FEA. Consequently, a deep neural network was trained over the accumulated dataset and integrated into the OpenSees source code. For data augmentation, a generative neural network model of autoencoders known as Generative Adversarial Networks was constructed to generate synthetic data. The proposed material model significantly improved precision in capturing the hysteretic response of flat plates.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798380268158Subjects--Topical Terms:

1437809
Load.
Index Terms--Genre/Form:

554714
Electronic books.

Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation.
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245 1 0 $a Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation.
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300 $a 1 online resource (177 pages)
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500 $a Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
500 $a Advisor: Genikomsou, Aikaterini.
502 $a Thesis (Ph.D.)--Queen's University (Canada), 2023.
504 $a Includes bibliographical references
520 $a In reinforced concrete (RC) flat plate systems, slab-column connections are critical components, susceptible to brittle punching shear failure under seismic actions. The current code provisions for the design of RC flat slabs are generally based on empirical formulations derived from tests, thus, in modern research, finite element analysis (FEA) can complement experimental testing to provide valuable insights into the failure of those connections, potentially leading to improved design codes. The present Ph.D. research aims to develop numerical and analytical approaches to capture the hysteretic response of interior RC slabcolumn connections in two-way flat slabs without shear reinforcement. While FE software packages have broad applications, available constitutive concrete material models have limitations in capturing the complex seismic behaviour of connections.In this study, various numerical techniques are employed to simulate the punching shear behaviour of slabs at both macro- and micro-scale material levels, utilizing three non-linear FEA software packages: ABAQUS2017, OpenSees3.3.0, and ATENA 3DV5. The simulations examine the performance of existing constitutive material models in reproducing the response of previously tested connections subjected to gravity loads or a combination of gravity and lateral monotonic/cyclic loadings. The results revealed that the available numerical models are a valuable tool for characterising the failure mechanism and behaviour of slabs under gravity and monotonic lateral loadings and the parametric studies examined the effect of reinforcement ratio. However, the calibrated models induced by monotonic loadings exhibit significant discrepancies in reproducing the hysteretic behaviours of connections. To address these limitations, a dataset of previously tested experiments was compiled to predict the ultimate load and drift of the connections using a multi-variate non-linear regression model. Additionally, there is a need to develop a new constitutive material model for the seismic performance assessment of the connections to capture the complete hysteretic response using numerical FEA. Consequently, a deep neural network was trained over the accumulated dataset and integrated into the OpenSees source code. For data augmentation, a generative neural network model of autoencoders known as Generative Adversarial Networks was constructed to generate synthetic data. The proposed material model significantly improved precision in capturing the hysteretic response of flat plates.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2024
538 $a Mode of access: World Wide Web
650 4 $a Load. $3 1437809
650 4 $a Concrete. $3 867676
650 4 $a Crack initiation. $3 1372743
650 4 $a Construction. $3 1254179
650 4 $a Shear tests. $3 1465527
650 4 $a Tensile strength. $3 1215672
650 4 $a Sensitivity analysis. $3 1465552
650 4 $a Concrete slabs. $3 1465722
650 4 $a Neural networks. $3 1011215
650 4 $a Earthquakes. $3 677160
650 4 $a Seismic engineering. $3 1465723
650 4 $a Deformation. $3 1328788
650 4 $a Reinforced concrete. $3 808943
650 4 $a Shear strength. $3 998614
650 4 $a Civil engineering. $3 561339
650 4 $a Structural engineering. $3 557594
650 4 $a Mechanics. $3 527684
655 7 $a Electronic books. $2 local $3 554714
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690 $a 0346
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Queen's University (Canada). $3 1148613
773 0 $t Dissertations Abstracts International $g 85-03B.
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