Seismic Performance Analysis of Structural Systems

Summary

Seismic performance analysis examines how buildings, bridges and other structures behave under earthquake loading, with the aim of predicting damage, ensuring life safety and minimising economic loss. Central to this endeavour is the shift from traditional force-based design to performance-based design, in which target damage states—ranging from immediate occupancy to collapse prevention—are defined in terms of deformation and energy dissipation rather than solely in terms of resisting forces. Advanced numerical tools, including nonlinear time-history analysis and incremental dynamic analysis, enable engineers to capture phenomena such as inelastic hinging, pounding and soil-structure interaction. Ground motion record selection and scaling techniques are crucial for reducing uncertainties in seismic demands, while innovative dampers, base-isolation systems and rocking foundations extend the resilience of new and existing structures. Lifecycle considerations now integrate environmental impacts with seismic resilience, recognising that sustainable and resilient built environments must balance upfront performance with long-term resource efficiency. Recent advances have emphasised data-driven approaches and multi-criterion frameworks for decision-making, reflecting the global significance of earthquake risk mitigation and the need for robust, accessible tools in regions of varying seismicity and resource availability.

Research from Nature Portfolio

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Research from all publishers

State-of-the-art reviews of ground motion record selection and scaling have highlighted probabilistic and spectral-matching approaches to obtain representative seismic inputs for performance assessments. These methods address biases arising from limited catalogues of historical earthquakes and enable more consistent comparison of structural responses across different seismic zones. In parallel, machine-learning techniques have been applied to predict interstory drift and limit-state capacities of reinforced concrete moment-resisting frames. By training on large datasets generated through incremental dynamic analyses, algorithms such as artificial neural networks and gradient boosting can rapidly estimate damage indicators, offering user-friendly tools to reduce computational effort in preliminary design and retrofit studies. Another emerging trend links seismic resilience with sustainability through integrated performance-based assessments combined with life-cycle analysis. This research quantifies both direct structural damage and indirect environmental losses, proposing multi-criterion frameworks that capture interactions between seismic hazard, building vulnerability and greenhouse-gas emissions over the service life. Together, these studies illustrate a convergence of statistical ground motion characterisation, data-driven modelling and holistic evaluation of resilience, informing both code development and practical engineering decisions worldwide.

Seismic Performance Analysis of Structural Systems publication trend

The graph below shows the total number of articles in seismic performance analysis of structural systems across all publications each year (not limited to Nature Index journals).

Technical terms

Performance-based design: An approach that defines seismic objectives in terms of deformation or damage states rather than force limits, ensuring that structures meet specified performance criteria under given earthquake intensities.

Ground motion selection and scaling: Techniques for choosing representative earthquake records and adjusting their amplitude or frequency content to match target hazard levels, reducing uncertainty in seismic input for analysis.

Incremental dynamic analysis (IDA): A computational procedure in which a structural model is subjected to a suite of ground motion records at increasing intensity levels to derive demand–capacity curves and collapse fragilities.

Interstory drift: The relative lateral displacement between consecutive floors in a building during seismic excitation, used as a key indicator of structural damage and occupant safety.

References

  1. Selection and Scaling Approaches of Earthquake Time-Series for Structural Engineering Applications: A State-of-the-Art Review. Archives of Computational Methods in Engineering (2023).
  2. Assessing the sustainability of a resilient built environment: Research challenges and opportunities. Journal of Cleaner Production (2024).
  3. Performance based seismic design. Bulletin of the New Zealand Society for Earthquake Engineering (2000).
  4. Seismic response of structures free to rock on their foundations. Bulletin of the New Zealand Society for Earthquake Engineering (1978).
  5. Machine learning-based seismic response and performance assessment of reinforced concrete buildings. Archives of Civil and Mechanical Engineering (2023).

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