International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 7, Issue 4 (July-August 2025) Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 7 Issue 4
July-August 2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Validating Artificial Intelligence for restoring bygone urban landmarks: The Strategy to Restore

Author(s) Mr. Darpil Shah, Mr. Dhaval Raval
Country India
Abstract Artificial intelligence (AI) is becoming a new tool in the world of architecture and construction, and AI is a powerful tool that has the potential to shape our future in many ways. This research paper looks at the methods for recovering and establishes a systematic technique to analyze aging buildings utilizing artificial intelligence solutions from construction, sustainability, and other industries. A good example is the Sardar Vallabhbhai Patel stadium located in Ahmedabad, India, which was commissioned in 1960 and has held both domestic and international cricket events. At present, the stadium is in the heart of the city and serves as a jogging track, an open gymnasium, a concert venue, and a cricket stadium. The stadium also has architectural value because it is a landmark of the city, which led to its inclusion in the 2020 World Monuments Watch, a collection of cultural heritage sites at risk that have both architectural and contemporary social relevance. The stadium is being renovated and restored because its structural life is deteriorating, and the cost of the renovation is unknown. There is the option of demolishing the stadium and constructing a new space. But the demolition of the stadium will generate a large amount of construction waste as well as carbon emissions. However, AI will create the pre-assessed data for the building regarding structural strength and material properties, which will aid in the discovery of a sustainable solution that will benefit both architectural values and environmental conditions. The method will assist the designers in designing a building that includes the parameters of the building's future assessment.
Keywords Artificial Intelligence, stadium, architectural landmark, adaptive reuse
Field Engineering
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-23
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.45512
Short DOI https://doi.org/g9mh8v
View / Download PDF File

Share this



E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 7 Isu 4Cover Page Vol 7 Isu 3Cover Page Vol 7 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9687-828-838 editor@ijfmr.com