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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.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Finite Element Analysis of Reinforced Concrete Slab-column Connections for Seismic Performance Investigation./
作者:	Panahi, Hadi.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	177 p.
附註:	Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
Contained By:	Dissertations Abstracts International85-03B.
標題:	Load. -
電子資源:	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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500 $a Source: Dissertations Abstracts International, Volume: 85-03, Section: B.
500 $a Advisor: Genikomsou, Aikaterini.
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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.
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650 4 $a Load. $3 3562902
650 4 $a Concrete. $3 666349
650 4 $a Crack initiation. $3 3564902
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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
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650 4 $a Structural engineering. $3 661234
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