This study introduces innovative vertical isolation systems, the so-called Negative-Stiffness Based Vertical ISolators (NVISs). The NVISs integrate post-tensioned cables and mechanical amplifying mechanisms to overcome buckling limitations of traditional compression-based negative stiffness isolators, offering a lightweight, tunable solution with extended negative stiffness regions. NVISs retrofitting capabilities, which do not require column cuts, facilitate practical seismic upgrades, addressing critical gaps in vertical isolation of large-scale structures. Unlike prior studies focused on small-scale applications, this work emphasises realistic applications on heavy structures. Along these lines, analytical models and dynamic analyses including friction were developed and carried out to characterise their behaviour. Small-scale experimental validation was conducted using additive manufacturing and a shake table to simulate dynamic loading conditions. Then, two realistic case studies were considered: (i) the integration of NVIS devices into the columns of a Small Modular Reactor (SMR) building; and (ii) the use of a combined horizontal–vertical isolation system composed of NVIS with horizontal rolling isolators for the protection of a spherical propylene tank in a petrochemical facility, evaluated by means of nonlinear Coupled Eulerian–Lagrangian (CEL) time-history analyses. Relevant results demonstrate more than 60% vertical seismic force reduction across diverse applications, highlighting the system’s adaptability for both new and existing industrial, nuclear, and critical infrastructures. • Novel Negative-Stiffness Based Vertical Isolator (NVIS) are introduced. • NVIS employ post-tensioned cables and mechanical amplifying mechanisms. • Retrofit-friendly design enables upgrades of existing horizontally isolated infrastructures. • Numerical, experimental, and CEL-based 3D dynamic analyses validate performance. • Demonstrated > 60% reduction in vertical seismic forces for nuclear & petrochemical structures.
Building similarity graph...
Analyzing shared references across papers
Loading...
Guner et al. (Tue,) studied this question.
synapsesocial.com/papers/69d8930e6c1944d70ce04202 — DOI: https://doi.org/10.1016/j.engstruct.2026.122677
T. Guner
University of Trento
O.S. Bursi
University of Trento
Engineering Structures
University of Trento
Building similarity graph...
Analyzing shared references across papers
Loading...