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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. [ABSTRACT FROM AUTHOR]

Buildings are susceptible to reduced performance due to deterioration and recurrent extreme events. Hence, a life-cycle sustainability and resilience enhancement approach is proposed herein for reinforced concrete structures under environmental deterioration and recurrent extreme events. The framework consists of five parts: (1) extreme event modeling to characterize the occurrence uncertainty of the recurrent extreme events, (2) deterioration modeling to assess deterioration initiation and propagation during the investigated time, (3) structural modeling to assess structural response given deterioration and natural hazards, (4) life-cycle sustainability and resilience assessment to determine the consequences, downtimes and functionality during the investigated time given mitigation alternatives, and (5) decision-making to select the optimal retrofit alternative given life-cycle sustainability and resilience performance by utilizing utility decision theory and multi-criteria decision making. The proposed framework is illustrated on an intermediate moment resisting reinforced concrete frame structure prone to carbonation-induced deterioration and stochastically recurring seismic hazards. The methodology highlights the importance of considering life-cycle sustainability and resilience and provides a tool to effectively manage structures under deterioration and recurring extreme events. • Proposed a renewal process-based seismic hazard arrival methodology. • Integrated sustainability and resilience in a life cycle. • Investigated combined effect of deterioration and recurrent seismic hazards. • Considered socioeconomic and environmental consequences and functionality during the investigated time. • Provide a decision-making tool by leveraging the utility decision theory and multi-criteria decision-making methods. [ABSTRACT FROM AUTHOR]

Recent earthquakes have highlighted additional losses due to the lack of resilience of damaged structures. Environmental impact, as performance indicator, has also received increased attention within performance-based earthquake engineering. In this article, a combined probabilistic framework is proposed to assess seismic risk, sustainability, and resilience of a non-ductile reinforced concrete frame structure. The framework utilizes three-dimensional inelastic fiber-based numerical modeling approach to develop limit states associated with performance levels. The decision variables (i.e. repair cost, downtime, and equivalent carbon emissions) are quantified at both component level and system level and are compared considering seismic risk, sustainability, and resilience. In addition, the proposed approach considers uncertainties in the building performance and consequence functions of structural and non-structural components. Fast-track and slow-track schemes are utilized as a repair strategy and probabilistic resilience is quantified given the investigated time period. The proposed approach can aid the development of the next generation of performance-based engineering incorporating both resilience and sustainability. [ABSTRACT FROM AUTHOR]