HR: 1330h
AN: S42B-0167    [PDF]
TI: Near-Real-Time Loss-Estimation for Instrumented Buildings
AU: * Porter, K A
EM: keithp@caltech.edu
AF: California Institute of Technology, 1200 E California Blvd MC 104-44, Pasadena, CA 91125-4400 United States
AU: Beck, J L
EM: jimbeck@caltech.edu
AF: California Institute of Technology, 1200 E California Blvd MC 104-44, Pasadena, CA 91125-4400 United States
AU: Ching, J
EM: jyching@caltech.edu
AF: California Institute of Technology, 1200 E California Blvd MC 104-44, Pasadena, CA 91125-4400 United States
AU: Mitrani, J
EM: judith@caltech.edu
AF: California Institute of Technology, 1200 E California Blvd MC 104-44, Pasadena, CA 91125-4400 United States
AB: Building owners make several important decisions in the hours after an earthquake occurs: whether to engage a structural engineer to inspect the building; what to tell investors, rating agencies, or other financial stakeholders; and how to assess the safety of tenants. A current research project seeks to develop the means to perform an automated, building-specific, probabilistic evaluation of detailed physical damage, safety, and loss to instrumented buildings. The project relies on three recent developments: real-time monitoring, an unscented particle filter, and the assembly-based vulnerability (ABV) technique. Real-time monitoring systems such as COMET and R-Shape continuously record and analyze accelerometer and other building data for several instrumented buildings. Potentially sparse response information can be input to a new, unscented particle filter to estimate potentially highly nonlinear structural response at all the building's degrees of freedom. The complete structural response is then input to the ABV framework, which applies a set of empirical component fragility functions to estimate the probabilistic damage state of every damageable component in the building. Damage data are then input within ABV to standard safety-evaluation criteria to estimate the likely action of safety inspectors. The probabilistic damage state is also input in ABV to a construction-cost-estimation algorithm to evaluate probabilistic repair cost. The project will combine these three elements for software implementation so that damage, safety, and loss can be calculated and transmitted to a decision maker within minutes of the cessation of strong motion. The research is illustrated using two buildings: one in California, the other in Japan.
DE: 6309 Decision making under uncertainty
DE: 6344 System operation and management
DE: 7212 Earthquake ground motions and engineering
SC: Seismology [S]
MN: 2003 Fall Meeting