Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/10586
Title: Life-cycle performance modeling for sustainable and resilient structures under structural degradation: A systematic review
Authors: Anwar, Ghazanfar Ali 
Akber, Muhammad Zeshan 
Ahmed, Hafiz Asfandyar 
Hussain, Mudasir 
Dr. NAWAZ Mehmood 
Anwar, Jehanzaib 
Chan, Wai-Kit 
Lee, Hiu-Hung 
Issue Date: 2024
Source: Building, 2024, vol. 14(10), article no. 3053.
Journal: Buildings 
Abstract: The performance of structures degrades during their service life due to deterioration and extreme events, compromising the social development and economic growth of structure and infrastructure systems. Buildings and bridges play a vital role in the socioeconomic development of the built environment. Hence, it is essential to understand existing tools and methodologies to efficiently model the performance of these structures during their life cycle. In this context, this paper aims to explore the existing literature on the life-cycle performance modeling, assessment, enhancement, and decision making of buildings and bridge infrastructure systems under deterioration and extreme events for a sustainable and resilient built environment. The main objectives are to (1) systematically review the existing literature on life-cycle performance modeling of buildings and bridges based on the PRISMA methodology, (2) provide a bibliometric analysis of the systematically assessed journal articles, (3) perform an analysis of the included articles based on the identified components of life-cycle performance modeling, and (4) provide a discussion on the utilized tools, techniques, methodologies, and frameworks for buildings and bridge infrastructure systems in the life-cycle context. The provided systematic literature review and subsequent discussions could provide an overview to the reader regarding the individual components and existing methodologies of life-cycle performance management under deterioration and extreme events.
Type: Peer Reviewed Journal Article
URI: http://hdl.handle.net/20.500.11861/10586
ISSN: 2075-5309
DOI: 10.3390/buildings14103053
Appears in Collections:Applied Data Science - Publication

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