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Finite Element Analysis of Reinforce...

Panahi, Hadi.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation./
Author:	Panahi, Hadi.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	177 p.
Notes:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
Subject:	Load. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30565918
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. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 177 p.

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

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

This item must not be sold to any third party vendors.

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.

ISBN: 9798380268158Subjects--Topical Terms:

3562902
Load.

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.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 177 p.
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.
506 $a This item must not be sold to any third party vendors.
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.
590 $a School code: 0283.
650 4 $a Load. $3 3562902
650 4 $a Concrete. $3 666349
650 4 $a Crack initiation. $3 3564902
650 4 $a Construction. $3 3561054
650 4 $a Shear tests. $3 3681835
650 4 $a Tensile strength. $3 3564816
650 4 $a Sensitivity analysis. $3 3560752
650 4 $a Concrete slabs. $3 837392
650 4 $a Neural networks. $3 677449
650 4 $a Earthquakes. $3 535233
650 4 $a Seismic engineering. $3 3561056
650 4 $a Deformation. $2 lcstt $3 3267001
650 4 $a Reinforced concrete. $3 861675
650 4 $a Shear strength. $3 3680813
650 4 $a Civil engineering. $3 860360
650 4 $a Structural engineering. $3 661234
650 4 $a Mechanics. $3 525881
690 $a 0543
690 $a 0346
710 2 $a Queen's University (Canada). $3 1017786
773 0 $t Dissertations Abstracts International $g 85-03B.
790 $a 0283
791 $a Ph.D.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30565918