================ Fragility Models ================ Introduction ------------ Fragility functions describe the probability that a structure will reach or exceed a given damage state as a function of an intensity measure (IM). In this framework, fragility functions are assumed to follow a **lognormal distribution**, which is commonly adopted in seismic risk assessment due to its ability to capture uncertainty in structural response. Damage State Definition ----------------------- Four damage states (DS) are considered for structural fragility: .. list-table:: Structural Damage States :header-rows: 1 :widths: 20 30 50 * - Damage State - Label - Description * - DS1 - Slight - Minor cracking, onset of yielding * - DS2 - Moderate - Significant cracking, some spalling * - DS3 - Extensive - Major structural damage * - DS4 - Complete - Building at or near collapse The onset of these damage states is inferred from the maximum interstorey drift ratio (:math:`\theta_{max}`) attaining pre-defined thresholds based on the capacity curve. Damage State Thresholds ~~~~~~~~~~~~~~~~~~~~~~~ DS thresholds for MDOF systems are expressed in terms of maximum interstorey drift ratio: .. list-table:: DS Thresholds :header-rows: 1 :widths: 20 80 * - Damage State - Maximum Interstorey Drift Ratio Threshold * - Slight (DS1) - :math:`\theta_{max,DS1} = \max_{i=1,...,n_s}[\Gamma_1(\phi_{1,i} - \phi_{1,i-1}) SD_y / h_i]` * - Moderate (DS2) - :math:`\theta_{max,DS2} = \max_{i=1,...,n_s}[\Gamma_1(\phi_{1,i} - \phi_{1,i-1})(0.67 SD_y + 0.33 SD_u) / h_i]` * - Extensive (DS3) - :math:`\theta_{max,DS3} = \max_{i=1,...,n_s}[\Gamma_1(\phi_{1,i} - \phi_{1,i-1})(0.33 SD_y + 0.67 SD_u) / h_i]` * - Complete (DS4) - :math:`\theta_{max,DS4} = \max_{i=1,...,n_s}[\Gamma_1(\phi_{1,i} - \phi_{1,i-1}) SD_u / h_i]` where :math:`SD_y` and :math:`SD_u` are yield and ultimate spectral displacements, :math:`\Gamma_1` is the first-mode participation factor, :math:`\phi_{1,i}` is the first-mode shape ordinate, and :math:`h_i` is the storey height. Fragility Function Derivation ----------------------------- Lognormal Fragility Functions ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Let :math:`P(DS \ge ds_i | IM)` denote the probability that damage state :math:`ds_i` is exceeded at a given intensity measure level IM. Under the lognormal assumption: .. math:: P(DS \ge ds_i | IM) = \Phi\left(\frac{\ln(IM) - \ln(\mu_{DS_i})}{\beta_{DS_i}}\right) where: * :math:`\mu_{DS_i}` is the **median** intensity measure corresponding to damage state :math:`ds_i` * :math:`\beta_{DS_i}` is the **total logarithmic standard deviation** (dispersion) * :math:`\Phi(\cdot)` denotes the standard normal cumulative distribution function Total Dispersion ~~~~~~~~~~~~~~~~ The total dispersion accounts for multiple sources of uncertainty: .. math:: \beta_{DS_i} = \sqrt{\beta_{r2r}^2 + \beta_{b2b}^2 + \beta_{ds}^2} where: * :math:`\beta_{r2r}` (record-to-record or :math:`\beta_{EDP|IM}`) represents variability due to ground motion record-to-record uncertainty * :math:`\beta_{b2b}` (building-to-building or :math:`\beta_{MDL}`) captures variability in structural properties across nominally similar buildings * :math:`\beta_{ds}` represents uncertainty associated with damage state threshold definition A building-to-building dispersion of 0.30 is adopted following FEMA P-58 recommendations. Collapse Fragility ------------------ In addition to the four damage states, a separate **collapse fragility** function is derived using logistic regression on collapse/non-collapse outcomes from the cloud analysis: .. math:: P(C | IM) = \frac{1}{1 + \exp[-(\alpha_0 + \alpha_1 \ln(IM))]} The collapse cases are identified when: * Numerical non-convergence occurs during NLTHA * The EDP exceeds a collapse threshold :math:`EDP_C = 1.5 \times \theta_{max,DS4}` Interactive Viewer ------------------ Use the interactive viewer below to explore fragility functions for different building classes. .. raw:: html
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Fragility Parameters Summary ---------------------------- The table below shows the fragility function parameters for all building classes using the most efficient intensity measure (IM). Parameters include median values (θ) for each damage state and the total dispersion (β). The complete fragility parameters are available in the summary file: ``{model_version}/summaries/structural_fragility_params_efficient_imt.csv`` .. raw:: html

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Column Descriptions ~~~~~~~~~~~~~~~~~~~ .. list-table:: Fragility Parameters Table Columns :header-rows: 1 :widths: 25 75 * - Column - Description * - Building Class - GEM taxonomy string identifying the building class * - Efficient IM - Most efficient intensity measure for this building class * - θ_DS1 to θ_DS4 - Median IM values [g] for damage states DS1 through DS4 * - β_DS1 to β_DS4 - Total logarithmic standard deviation for each damage state References ---------- * Porter K. et al. (2007). Creating fragility functions for performance-based earthquake engineering. Earthquake Spectra. * Eads L. et al. (2013). An efficient method for estimating the collapse risk of structures in seismic regions. Earthquake Engineering & Structural Dynamics. * FEMA (2012). Next-Generation Methodology for Seismic Performance Assessment of Buildings (FEMA P-58). Washington, D.C.