The goals of seismic impact assessment can be achieved by seismic monitoring systems and seismic impact simulator. Seismic monitoring system, for the purpose of hazard analysis, local site effects analysis, vulnerability analysis, and estimation of loss, is one application of SHM in earthquake engineering. A prototype, conceptual seismic impact simulator integrating SHM, FEM, GIS, and Virtual R...

The performance of buildings subjected to earthquake loads has shown that asymmetric structures are caused more extensive damages in comparison with symmetric structures. Hence, the seismic performance of asymmetric structures should be assessed due to future random earthquakes. Reliability-based seismic assessment as one of the tools in performance-based earthquake engineering has been introdu...

Power networks are among the most important infrastructures that without them, industrial, economic and social procedures will halt. Therefore, they should be planned for the most difficult conditions to provide services with minimum disruption. Power substations are of great importance to a power network, because any disruption in their components can produce extensive problems through the net...

seismic performance and loss assessment studies for stock of buildings are generally based on representative models due to extremely large number of vulnerable buildings. the main problem is the proper reflection of the building stock characteristics well enough by limited number of representative models. this study aims to provide statistical information of structural parameters of turkish bui...

This paper extends some authors’ previous approaches to models and methods based on fuzzy sets and fuzzy logic, for the seismic fragility updating and seismic damage evaluation, in their contributions to the IFIP 8 Conference (Krakow – 1998), SMiRT 16 (Washington DC – 2001) and SMiRT 18 (Beijing – 2005) Conferences. A short survey of such earlier and more recent proposals for applying fuzzy con...

The paper presents results of application of a machine learning method, namely the induction of classification and regression rules, for seismic hazard prediction in coal mines. The main aim of this research was to verify if machine learning methods would be able to predict seismic hazard more accurately than methods routinely used in Polish coal mines on the basis of data gathered by monitorin...

Performance-based design is an efficient strategy for assessing and reducing the risk that a construction violates some performance requirement. In this paper, a procedure for performance-based assessment of seismic risk is illustrated with reference to a composite steel-concrete frame structure. Such risk is conventionally evaluated in a simplified formulation, i.e. as the mean annual frequenc...

 Many existing bridges were designed without adequate consideration of seismic risk. The full or partial collapse of even one major bridge in a city or community would have destroying results. There has been focuses on developing fragility-based seismic vulnerability of existing usual bridges in Iran or support decision making on seismic upgrade. This article focuses on developing performance b...

Damage due to earthquake is commonly related to substantial direct and indirect losses, highlighting the need for damage detection and retrofit prioritization based on the results of the seismic risk assessment of the road network. In this context, numerous methodologies have been developed for the seismic vulnerability assessment of bridges for different levels of seismic hazard using fragilit...

Retrofitted bridge fragility curves provide a powerful tool for assessing the effect of retrofit measures on the seismic performance of different bridge types under a range of loading levels. Traditional methods for retrofit assessment typically evaluate the effectiveness of retrofit based on the performance of individual components. However, the use of fragility curves for retrofitted bridges ...