Vulnerability by construction class
Damage functions are developed by construction type, height, age and code era from engineering analysis and claims.
GRA · Reinsurance and Catastrophe
Spatial financeWhere capital meets hazard, exposure and transition
Structural engineering explains how buildings and infrastructure respond to wind, ground shaking, flood and fire. In catastrophe reinsurance it supplies the vulnerability functions that convert hazard intensity into damage and loss.
Structural and earthquake engineering designs buildings, bridges and other structures to carry loads safely, including those from earthquakes, wind and floods. It determines how much damage the built environment suffers when hazards occur. In insurance and catastrophe, climate and hazards and disaster and crisis, structural engineering supplies vulnerability functions for loss models and guides retrofit priorities. It links hazard intensity to disruption of housing, services and supply chains. The canonical description is on the STEM Commons.
Damage functions are developed by construction type, height, age and code era from engineering analysis and claims.
Loss differences between buildings of different code eras are studied to show how much stronger standards reduce damage.
Field surveys after events record damage patterns by building type, which are then used to recalibrate vulnerability functions.
Where a portfolio’s assets sit, and how much of its value is most exposed. Hypothetical assets, not an assessment.
Datasets and records used by structural and earthquake engineering on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Data | Role | Label |
|---|---|---|
| Claims by construction type | Calibration | REPORTED |
| Engineering test results | Component behaviour | OBSERVED |
| Post-event surveys | Damage patterns | OBSERVED |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Reinsurance and catastrophe · Structural and earthquake · Run R-8382
| Slight | 0.18 | 0.6 | Cosmetic |
| Moderate | 0.32 | 0.7 | Repairable |
| Extensive | 0.63 | 0.7 | Major |
| Complete | 0.9 | 0.7 | Replace |
Designs are checked against codes, laboratory and shake-table tests, and observed performance after events. Peer review is used for unusual structures.
| Check | How it is done |
|---|---|
| Claims back-testing | Functions reproduce observed damage ratios |
| Secondary modifiers | The effect of roof, opening and foundation features is documented |
| Regional applicability | Functions are checked for the building stock where applied |
Existing building stock is often poorly documented. Interaction of multiple hazards and degradation over time is incompletely represented.
The loss a portfolio in the footprint can expect per year and at the 1 in 100 and 1 in 250 levels that insurers and lenders price, from the same three blocks every catastrophe model uses. Teaching model with stated illustrative values, not a prediction. The map on this page shows The Gulf of Mexico coast; the model itself is not tied to a place.
Controls
Readouts
| Return period (years) | Intensity (g peak ground acceleration) | Loss (% of value) |
|---|---|---|
| 1 | −0.02 | 0.00 |
| 2 | 0.06 | 0.00 |
| 4 | 0.10 | 0.00 |
| 7 | 0.13 | 0.00 |
| 13 | 0.17 | 0.00 |
| 24 | 0.20 | 0.00 |
| 44 | 0.23 | 0.00 |
| 82 | 0.26 | 7.23 |
| 154 | 0.29 | 9.40 |
| 287 | 0.32 | 11.60 |
| 536 | 0.35 | 13.79 |
| 1,000 | 0.39 | 15.92 |
The model runs on the teaching values set by the controls. To calibrate it for a place, read it against these admitted layers and series, which this page’s map can draw:
Across the six pillars, led by Nexus Consortium
Assembled from the Nexus Standards area profile Insurance and reinsurance: the shocks it names, the systems and sectors that carry the loss, the controls that dampen it and the data that observe it. Pick an initiating shock and step through the cascade to see which exposures it reaches and where losses could concentrate. The Map view places the run on an example geography with open data. Every weight is a stated assumption. An exercise, not a forecast, a valuation, a rating or investment advice. To model a place of your own choosing, open the full System Builder.
Hazards
Systems and couplings
Controls
NS-0 Constitution and principlesNS-3 Risk record UNIs (grammar, legacy crosswalk, allocation authority)NS-9 Contextual UNIs (deployments, instances, programme instances)NS-10 Policies and clauses (machine-readable obligations: definition, binding, evaluation and enforcement)NS-11 Verification and monitoring (evidence, attestations, zero-trust conformance observation)NS-14 Conformance and crosswalk to external standardsNRS-F3 Insurance, catastrophe risk and protection gapsNRS-H113 Hazard family: Financial-system fragility (NHS-1 soc.financial-system)NRS-U17 Universe platform profile: Insurance NexusNRS-H71 Hazard family: Deep-time and cosmic catastrophes (NHS-1 planet.deep-time)NRS-H65 Hazard family: Planetary boundary transgressions (NHS-1 planet.boundary)NRS-F8 Parametric and index-based risk transferObservation
Example geography
Cities and Built Environment stewards structural and earthquake engineering for the Consortium and reviews how it is applied across platforms.
The exposure, loss, scenario and capital views a risk officer, supervisor or ministry of finance would ask for, with the frameworks they report against. Structures follow supervisory and actuarial practice. Values are illustrative: never prices, ratings or advice.
How losses from structural and earthquake engineering for reinsurance and catastrophe grow with severity, gross and net of reinsurance, against capital.
| Return period | Annual probability | Gross loss | Net loss | Net, capital = 100 |
|---|---|---|---|---|
| 1 in 10 | 0.10 | 14 | 10 | 10 |
| 1 in 50 | 0.02 | 33 | 21 | 21 |
| 1 in 100 | 0.01 | 46 | 27 | 27 |
| 1 in 250 | 0.004 | 68 | 39 | 39 |
| Average annual loss | 3.1 | 2.2 | 2.2 |
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