کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
804095 1467868 2015 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Shape-Memory-Alloy supplemented Lead Rubber Bearing (SMA-LRB) for seismic isolation
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی مکانیک
پیش نمایش صفحه اول مقاله
Shape-Memory-Alloy supplemented Lead Rubber Bearing (SMA-LRB) for seismic isolation
چکیده انگلیسی


• Superior performance of the SMA-LRB is established through stochastic analysis.
• Important parameters are identified for SMA-LRB through parametric analysis.
• Optimal parameters for the SMA-LRB are established by multi-objective optimization.
• Optimal performance of the SMA-LRB is shown to be much superior than the LRB.

Optimization of isolation system involves a trade-off between the isolation efficiency and isolator displacement to ensure optimal performance. Quite often, the latter aspect is overruled, even though, large isolator displacements are known to be linked with adverse consequences. A class of smart material referred as Shape Memory Alloy (SMA) has recently been proposed to supplement the conventional isolation bearings that is shown to facilitate such trade-off, owing to its Superelastic property. Recent usage of SMA in supplementing rubber bearing to isolate highway bridge is notable. Presently, the SMA is employed in conjunction with the Lead Rubber Bearing (LRB) (referred as SMA-LRB), isolating multi-storied building frame. It is demonstrated that SMA-LRB largely reduces the isolator displacement with very little sacrifice in the isolation efficiency while compared with the conventional LRB. The nonlinear random vibration analysis in conjunction with stochastic linearization of SMA behavior demonstrate that optimal combination of the SMA and LRB characteristics strengths are essential to ensure such performance. This includes minimizing the isolator displacement as well as maximizing the isolation efficiency, dealt in a framework of bi-objective optimization. Robustness of the optimal design is verified through parametric studies concerning the anticipated variations in system parameters and seismic loading.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Probabilistic Engineering Mechanics - Volume 41, July 2015, Pages 34–45
نویسندگان
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