Two types of false alarms, Type I (false fault) and Type II (false health), are considered and quantified based upon conditional probability theory.
If n i simulation runs are implemented for fault type i, the training data matrix including n c fault types is represented as (25).
All the fragility curves irrespective of the repair jacket material, intensity of seismic sequences (i.e., severe MS-severe AS or severe MS-moderate AS) and earthquake type (i.e., far-fault and near-fault) indicate the increase of difference (shift) between fragilities of the unrepaired and repaired bridge as the damage state progresses.
An observation vector of TEP process is given as (23) and data collected during one simulation run of fault type i consists of k observations assembled as (24).
Analytical models of the studied bridge were subjected to numerous series of mainshock-aftershock sequences of various intensities of different fault-types (i.e., far-fault and near-fault).
The result is a subsided bloc mosaic where all types of faults, i.e., normal, reverse and strike-slip faults, and various combinations and reactivations, are observed (Dittrich 2008, 2009, 2011, 2012, 2013, 2014; Dittrich et al. 2011; Wagner 1996; Wagner et al. 2012; and references therein).
Since the property of repetitive occurrence of a specific value is present only in Type 1 artifacts, c m (i) of Type 1 faults will have much higher value than the other two types of artifacts.
Background color of "shallower strike-slip fault-type" and "deeper reverse fault-type stress" indicates fault type; the same color scheme is used throughout this study.
Earthquakes have different properties depending on the type of fault slip that causes them (as shown in the figure).
A type of fault activity called block faulting, in which the movement is predominantly vertical, began to form the valley about 30 million years ago.
