Provides recommended reliability indices (
def get_target_beta(self): targets_50yr = "CC1": 3.1, "CC2": 3.8, "CC3": 4.3 if self.ref_period == 50: return targets_50yr[self.cc] elif self.ref_period < 50: # Annual beta ~ sqrt(50) relation approx return targets_50yr[self.cc] * np.sqrt(self.ref_period / 50) else: return targets_50yr[self.cc] * np.sqrt(self.ref_period / 50) jcss model code
The PMC is organized into three primary sections that address different facets of structural reliability: 0.5 kN/m² for office areas).
Variable loads from occupancy, often modeled with specific mean values (e.g., 0.5 kN/m² for office areas). jcss model code
Provides recommended reliability indices (
def get_target_beta(self): targets_50yr = "CC1": 3.1, "CC2": 3.8, "CC3": 4.3 if self.ref_period == 50: return targets_50yr[self.cc] elif self.ref_period < 50: # Annual beta ~ sqrt(50) relation approx return targets_50yr[self.cc] * np.sqrt(self.ref_period / 50) else: return targets_50yr[self.cc] * np.sqrt(self.ref_period / 50)
The PMC is organized into three primary sections that address different facets of structural reliability:
Variable loads from occupancy, often modeled with specific mean values (e.g., 0.5 kN/m² for office areas).