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| Authors | Medical equipment | Test | Conclusion |
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| Konstantinidis and Makris [148] | Cabinet equipment | Static test | The seismic vulnerability curve of equipment under different slip limits is given by probabilistic seismic demand model fitting |
| Costa et al. [149] | Medical medicine cabinets, medicines | Shake table test | Three damage states of the medicine cabinet are defined as follows: residual displacement of more than 20 mm, rocking, and overturning. Built-in drugs have two damage states: overturning and crushing |
| Kuo et al. [150] | Medicine rack | Shake table test | The distance between the drug on the shelf falling on the ground and the medicine shelf was used to describe the mixing degree of the medicine rack after the earthquake |
| Shang et al. [57] | Infusion stents, medicine cabinets, ambulances, hospital beds, and medical shadowless lamps | Shake table test | The corresponding seismic fragility curves of the hospital cabinets under different damage states were developed based on experimental data |
| Nikfar and Konstantinidis [151] | Wheels/castors support medical equipment | Shake table test | Contour plots are proposed that specify the displacement, velocity, and acceleration accuracy of vision-based measurements, which can be used in future applications |
| Nikfar and Konstantinidis [152] | Wheels/castors support medical equipment | Shake table test | It was concluded that, in base-isolated buildings, locking the wheels/casters on ECs reduces EC response. Fragility curves were developed for mobile ECs on unlocked wheels and casters in base-isolated buildings |
| Nikfar and Konstantinidis [153] | Ultrasonic equipment cart carries small equipment | Shake table test | Appropriate structural engineering demand parameters associated with the relative displacement and relative velocity demands of the equipment are proposed and used to develop conditional probability curves. Finally, in an effort to extend the results of this experimental study to similar equipment on wheels/casters, the performance of a simple numerical model in predicting the peak seismic demands is evaluated |
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