Vulnerability by construction class
Damage functions are developed by construction type, height, age and code era from engineering analysis and claims.
GRA · Reaseguro y catástrofes
Spatial financeDonde el capital se encuentra con la amenaza, la exposición y la transición
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 intensidad local de la amenaza into damage and loss.
Structural and sísmica 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 intensidad local de la amenaza to disruption of housing, services and supply chains. The canonical description is on el bien común CTIM.
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 sísmica engineering on this platform, with the role each plays and the label its values carry. Sources are listed in el registro de fuentes.
| Datos | Función | Etiqueta |
|---|---|---|
| Claims by construction type | Calibración | NOTIFICADO |
| Engineering test results | Component behaviour | OBSERVADO |
| Post-event surveys | Damage patterns | OBSERVADO |
La pantalla que utilizaría un equipo para seguir este método: sus mediciones, estados y decisiones. Los nombres son ejemplos y los valores son ilustrativos.
Reinsurance and catastrophe · Structural and earthquake · Run R-8382
| Slight | 0.18 | 0.6 | Cosmetic |
| Moderada | 0.32 | 0.7 | Repairable |
| Extensive | 0.63 | 0.7 | Major |
| Completo | 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.
| Verificación | Cómo se hace |
|---|---|
| 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.
La pérdida que puede esperar por año una cartera de la huella, y en los niveles de 1 en 100 y 1 en 250 que fijan los precios de aseguradoras y prestamistas, a partir de los mismos tres bloques que usa todo modelo de catástrofes 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.
Controles
Lecturas
| Período de retorno (años) | Intensity (g peak ground acceleration) | Pérdida (% del valor) |
|---|---|---|
| 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:
En los seis pilares, bajo la dirección de Nexus Consortium
Assembled from the Nexus Standards area profile Seguros y reaseguro: the shocks it names, the sistemas 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 Constructor de sistemas.
Amenazas
Sistemas y acoplamientos
Controles
NS-0 Constitución y principiosNS-3 UNI de registros de riesgo (gramática, tabla de correspondencia heredada, autoridad de asignación)NS-9 UNI contextuales (despliegues, instancias, instancias de programa)NS-10 Políticas y cláusulas (obligaciones legibles por máquina: definición, carácter vinculante, evaluación y aplicación)NS-11 Verificación y seguimiento (evidencia, atestaciones, observación de la conformidad de confianza cero)NS-14 Conformidad y correspondencia con normas externasNRS-F3 Seguros, riesgo de catástrofes y brechas de protecciónNRS-H113 Familia de amenazas: fragilidad del sistema financiero (NHS-1 soc.financial-system)NRS-U17 Universo platform profile: Insurance NexusNRS-H71 Familia de amenazas: catástrofes cósmicas y del tiempo profundo (NHS-1 planet.deep-time)NRS-H65 Familia de amenazas: transgresión de los límites planetarios (NHS-1 planet.boundary)NRS-F8 Transferencia de riesgo paramétrica y basada en índicesObservación
Geografía de ejemplo
Ciudades y entorno construido stewards structural and sísmica engineering for the Consortium and reviews how it is applied across platforms.
Las vistas de exposición, pérdida, escenarios y capital que pediría un responsable de riesgos, un supervisor o un ministerio de finanzas, con los marcos con arreglo a los cuales informan. Las estructuras siguen la práctica supervisora y actuarial. Los valores son ilustrativos: nunca precios, calificaciones ni asesoramiento.
How losses from structural and earthquake engineering for reinsurance and catastrophe grow with severity, gross and net of reinsurance, against capital.
| Periodo de retorno | Probabilidad anual | Pérdida bruta | Pérdida neta | Neto, capital = 100 |
|---|---|---|---|---|
| 1 en 10 | 0.10 | 14 | 10 | 10 |
| 1 en 50 | 0.02 | 33 | 21 | 21 |
| 1 en 100 | 0.01 | 46 | 27 | 27 |
| 1 en 250 | 0.004 | 68 | 39 | 39 |
| Pérdida anual media | 3.1 | 2.2 | 2.2 |
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