282821

Predictive Perspective for Assessing Visual Perception of Existing Libraries Architectural Forms by Generative Redesign

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Last updated: 05 Jan 2025

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Abstract

The preferences of both architects and users over time, and on occasion, major upkeep and repairs are required. There is no assurance that a building's original compositions will always be appreciated, nor that it will preserve its excellent standing. Once a structure has been constructed, there is no assurance that it will continue to be in good standing once it has been completed. Despite this, a building's reputation can be maintained despite the state in which it is currently located. The building will undergo certain extensions as a direct result of the necessary alterations. It is occasionally necessary to alter the structure's present shape or composition—some extensions being done to create additional space. The professionals assigned a relative weight to the essential components of the visual perception appreciation process, those components underwent reprioritization after their ranks were determined, and the experiment on regeneration adhered to the priorities that the specialists had specified. By using delphi techniques, in which experts were asked to evaluate the quality of the regenerated design, it was possible to validate and narrow down the options for the numerous forms generated from data and reduce the number of alternatives.
Because of this, the options built by artificial intelligence software to regenerate the forms using the priorities from experts' evaluation, which highlighted the order of interventions.

DOI

10.21608/ijaeur.2022.282821

Keywords

Architectural forms, Regenerative design, libraries form, perception, Visual Design, form validation

Authors

First Name

Hossam El-Din

Last Name

Sabry Hegazy

MiddleName

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Affiliation

Architecture Department, Faculty of Fine Arts, Minya University, Egypt

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First Name

Mohamed

Last Name

Al-Sayed Al-Ebrashy

MiddleName

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Affiliation

Architecture Department, Faculty of Engineering, Zagazig University, Zagazig

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Volume

5

Article Issue

1

Related Issue

33993

Issue Date

2022-06-01

Receive Date

2023-01-29

Publish Date

2022-06-01

Page Start

116

Page End

153

Print ISSN

2785-9665

Online ISSN

2785-9673

Link

https://ijaeur.journals.ekb.eg/article_282821.html

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https://ijaeur.journals.ekb.eg/service?article_code=282821

Order

282,821

Type

Original Article

Type Code

1,955

Publication Type

Journal

Publication Title

International Journal of Architectural Engineering and Urban Research

Publication Link

https://ijaeur.journals.ekb.eg/

MainTitle

Predictive Perspective for Assessing Visual Perception of Existing Libraries Architectural Forms by Generative Redesign

Details

Type

Article

Created At

28 Dec 2024