Abstract
The evolution of seismic structural-health monitoring (S2HM) of buildings in the USA is described in this chapter, emphasizing real-time monitoring. Rapid and accurate assessment of post-earthquake building damage is of paramount importance to stakeholders (including owners, occupants, city officials, and rescue teams). Relying merely on rapid visual inspection could result in serious damage being missed because it is hidden by building finishes and fireproofing. Absent visible damage to a building’s frame, most steel or reinforced-concrete moment-frame buildings will be green-tagged based on limited visual indications of deformation, such as damage to partitions or glazing. Contrary, uncertainty in judging extent of structural damage may lead an inspector toward a relatively conservative tag, such as a red tag. In such cases, expensive, intrusive, and time-consuming inspections may be recommended to building owners (e.g., following the Mw 6.7 1994 Northridge, Calif., earthquake, approximately 300 buildings were subjected to costly inspection of connections (FEMA 352)). Using real-time data-driven computation of drift ratios as the parametric indicator of structural deformation and damage to a structure could be of great value to minimize potential judgmental errors in such assessments. Recorded sensor data are an indication of performance, and performance-based design standards stipulate that the amplitude of relative displacement of a building’s roof (with respect to its base) indicates performance. Establishing sound criteria for performance is the most important issue for S2HM process, and since 2000 (in the USA), using real-time computed drift ratios and acceptable threshold criteria form the basis for almost all applications in S2HM.
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Notes
- 1.
The City of San Francisco, California, has developed a “Building Occupancy Resumption Program” (BORP) [36] whereby a prequalified occupancy decision making process as described in this paper may be proposed to the city as a reduced inspection program but in lieu of detailed inspections by city engineers following a serious earthquake.
- 2.
Drift ratio (DR) is defined as relative displacement between any two floors divided by the difference in elevation of the two floors. Usually, this ratio is computed for two consecutive floors.
- 3.
By 2006, as many as 50–100 samples per second (sps) differential GPS systems have been available on the market and have been successfully used [39]. Currently, GPS units with sampling rate of 100 Hz are commercially available.
- 4.
Recently, up to 50 samples per second (sps) differential GPS systems are available on the market and have been successfully used Panagitou et al. [39].
- 5.
The locations of sensors are generally dictated by the desire to obtain optimum response data from different floors and within strategic locations of those floors to compute reliable drift ratios for assessing near real-time performance of a building during an earthquake. Cost also becomes a consideration. In general, on each instrumented floor, a minimum of three accelerometers are deployed—two parallel at a distance apart to facilitate computation of torsion and the third orthogonal to the other two. A minimum of three verticals are deployed at the basement in ground-level corners to compute rocking, if any [29]. The Los Angeles Tall Buildings Structural Design Council [60] provides guidance also for number of accelerometers according to number of floors of a building (e.g., they recommend 36 channels for buildings taller than 50 stories). However, for S2HM purposes, the number of accelerometers should be greater.
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Acknowledgements
These developments were funded by PG&E (GPS project) and FDIC (accelerometric S2HM project). Financial supports of these organizations in early development of S2HM configuration are acknowledged. Dr. Ahmet Sanli contributed to both efforts. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Çelebi, M. (2019). S2HM of Buildings in USA. In: Limongelli, M., Çelebi, M. (eds) Seismic Structural Health Monitoring. Springer Tracts in Civil Engineering . Springer, Cham. https://doi.org/10.1007/978-3-030-13976-6_1
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