The vertical acceleration responses and the stresses of a large span structure (space structure), such as a sports arena and a gymnasium, is very severe when subjected to seismic motions. This kind of structure must be used as an escape facility after an earthquake disaster in many cases, and its safety to an earthquake must be high. Therefore, research on the dynamic behavior and seismic resistance design method of the space structure is done. The space structure, which has a base isolation system and a damping device, is proposed as a method of raising earthquake-proof performance.

In the areas of high seismic hazard, the necessity for anti-seismic reinforcement and seismic risk evaluation of spatial structures has been increasing. Seismic risk analysis is a tool to quantify the seismic damage of an individual facility, aiming at providing information for decision making on risk mitigations of facilities. In the present procedures, a seismic loss function (SLF) of a facility, which represents the relationship between the seismic expected loss and the ground motion level, is evaluated based on dynamic response analysis. A probabilistic seismic hazard curve (PSHC), which is an annual excess probability of maximum ground motion at a site, is also determined based on seismic environments. An annual expected loss and a seismic risk curve, which are important indices in seismic risk analysis, are obtained from SLF and PSHC. And a life cycle cost (LCC) of the facility is discussed from the annual expected loss.

A grid computing system for solving structural optimization and evaluating seismic risk analysis is developed. A grid computing system is a new and powerful method for realizing high performance computing. The system consists of an administrative host and many execution hosts. The system can provide a virtual massive parallel computer system by integrating many micro computers. Accordingly, the system has an ability to be also applied to determine seismic fragility curves of structural components in seismic risk analysis. In our study, the seismic risk evaluation system by using grid computing is proposed, and the effectiveness of the system is discussed through numerical examples.