A State-of-the-Art Review on Metallic Hysteretic Dampers: Design, Materials, Advanced Modeling, and Future Challenges

Metallic seismic dampers are an effective tool for reducing structural damage during seismic events. While previous reviews have often focused on cataloging device types, this review presents a deep analysis of the underlying science governing their performance. Particular emphasis is placed on advanced computational methods, such as non-linear kinematic hardening (e.g., Chaboche) and micromechanical damage models (e.g., GTN), which are essential for accurately predicting low-cycle fatigue and fracture. Furthermore, advances in materials science are analyzed, ranging from low-yield-strength (LYS) steels to self-centering shape memory alloys (SMAs). Finally, the influence of manufacturing processes (including additive manufacturing) is explored, and critical future challenges in design, modeling, and long-term durability are identified. This analysis provides a foundational resource for researchers seeking to advance beyond simple phenomenological design toward physics-based prediction of damper performance.

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Publication Details

Journal
Metals
Published
2026-01-29
DOI
https://doi.org/10.3390/met16020161
Primary Topic
Shape Memory Alloy Transformations
Type
article
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article

A State-of-the-Art Review on Metallic Hysteretic Dampers: Design, Materials, Advanced Modeling, and Future Challenges

Rodrigo Valle, Víctor Tuninetti, Flavia Bustos, A Gómez
Metals
Shape Memory Alloy Transformations
article

A State-of-the-Art Review on Metallic Hysteretic Dampers: Design, Materials, Advanced Modeling, and Future Challenges

Rodrigo Valle, Víctor Tuninetti, Flavia Bustos, A Gómez
article en

Abstract

Metallic seismic dampers are an effective tool for reducing structural damage during seismic events. While previous reviews have often focused on cataloging device types, this review presents a deep analysis of the underlying science governing their performance. Particular emphasis is placed on advanced computational methods, such as non-linear kinematic hardening (e.g., Chaboche) and micromechanical damage models (e.g., GTN), which are essential for accurately predicting low-cycle fatigue and fracture. Furthermore, advances in materials science are analyzed, ranging from low-yield-strength (LYS) steels to self-centering shape memory alloys (SMAs). Finally, the influence of manufacturing processes (including additive manufacturing) is explored, and critical future challenges in design, modeling, and long-term durability are identified. This analysis provides a foundational resource for researchers seeking to advance beyond simple phenomenological design toward physics-based prediction of damper performance.

MetalsVol. 16(2)
Universidad de La Frontera (CL), Catholic University of the Maule (CL), Universidad Autónoma de Chile (CL)
Openalex Percentile: Top 75%
Shape Memory Alloy Transformations
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