Experimental and analytical studies on the response of 1/4-scale models of freestanding laboratory equipment subjected to strong earthquake shaking
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This paper investigates the seismic response of freestanding equipment when subjected to strong earthquake motions (2% probability of being exceeded in 50 years). A two-step approach is followed because the displacement limitations of the shake table do not permit full-scale experiments. First, shake table tests are conducted on quarter-scale wooden block models of the equipment. The results are used to validate the commercially available dynamic simulation software Working Model 2D. Working Model is then used to compute the response of the full-scale freestanding equipment when subjected to strong, 2% in 50 years hazard motions. The response is dominated by sliding, with sliding displacements reaching up to 70 cm. A physically motivated dimensionless intensity measure and the associated engineering demand parameter are identified with the help of dimensional analysis, and the results of the numerical simulations are used to obtain a relationship between the two that leads to ready-to-use fragility curves.
KeywordsLaboratory equipment Nonstructural components Scaling Rocking Sliding Fragility curves
From the Earthquake Simulator Laboratory at the Pacific Earthquake Engineering Research (PEER) Center, UC Berkeley, where the shake table experiments were conducted, we greatly appreciate the technical assistance of Don Clyde,Wes Neighbour, and David Maclam.We would also like to thank our PEER colleagues for their collaboration.We are very grateful for their continual feedback throughout the course of this study. This work was supported primarily by the Earthquake Engineering Research Centers Program of the National Science Foundation under award number EEC-9701568 through the Pacific Earthquake Engineering Research Center (PEER).
This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
- Barenblatt GI (1996) Scaling, self-similarity, and intermediate asymptotics. Cambridge University Press, CambridgeGoogle Scholar
- Comerio MC (ed) (2005) PEER testbed study on a laboratory building: exercising seismic performance assessment. Report No. PEER 2005-12, Pacific Earthquake Engineering Research Center. University of California, BerkeleyGoogle Scholar
- Constantinou MC, Tsopelas P, Kim YS, Okamoto S (1993) NCEER-Taisei Corporation research program on sliding seismic isolation systems for bridges: experimental and analytical study of a friction pendulum system (FPS). Technical Report NCEER-93-0020, National Center for Earthquake Engineering Research. State University of New York at Buffalo, New YorkGoogle Scholar
- Crow, EL, Shimizu, K (eds) (1988) Lognormal distributions. Marcel Dekker, New YorkGoogle Scholar
- Daniel WW (1990) Applied nonparametric statistics, 2nd edn. PWS-KENT, BostonGoogle Scholar
- Konstantinidis D, Makris N (2005b) Experimental and analytical studies on the seismic response of freestanding and anchored laboratory equipment. Report No. PEER 2005-07, Pacific Earthquake Engineering Research Center. University of California, BerkeleyGoogle Scholar
- Makris N, Black CJ (2003) Dimensional analysis of inelastic structures subjected to near-fault ground motions. Report No. EERC 2003-05, Earthquake Engineering Research Center. University of California, BerkeleyGoogle Scholar
- Makris N, Konstantinidis D (2003b) The rocking spectrum, existing design guidelines, and a scale invariance. In: Proceedings of the fédération internationale du Béton symposium, Athens, 6–9 May 2003Google Scholar
- MATLAB (2002) High-performance language software for technical computing. TheMathWorks, Inc., NatickGoogle Scholar
- Mokha A, Constantinou MC, Reinhorn AM (1988) Teflon bearings in aseismic base isolation: experimental studies and mathematical modeling. Technical Report NCEER-88-0038, National Center for Earthquake Engineering Research. State University of New York at Buffalo, New YorkGoogle Scholar
- Porter KA (2003) An overview of PEER’s performance-based earthquake engineering methodology. In: Proceedings of the ninth international conference on applications of statistics and probability in civil engineering (ICASP9), San Francisco 6–9 July 2003Google Scholar
- Scheaffer RL, McClave JT (1995) Probability and statistics for engineers, 4th edn. Duxbury Press, BelmontGoogle Scholar
- Somerville PG (2001) Ground motion time histories for the UC Lab building. URS Corporation, PasadenaGoogle Scholar
- Wen YK (1975) Approximate method for nonlinear random vibration. J Eng Mech Div (ASCE) 101(EM4): 389–401Google Scholar
- Wen YK (1976) Method for random vibration of hysteretic systems. J Eng Mech Div (ASCE) 102(EM2): 249–263Google Scholar
- Working Model (2000) User’s manual. MSC. Software Corporation, San MateoGoogle Scholar