Ground motion intensity measure optimization method for seismic response prediction
US12197831B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 10, 2024 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Jun 10, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F30/13
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The invention discloses a ground motion intensity measure optimization method for seismic response prediction. The method includes the following steps: (1) building a building damage database; (2) optimizing ground motion intensity measures; (3) constructing a machine learning model; and (4) predicting damage states. According to the method, a combination of optimal ground motion intensity measures is selected by an elastic-net algorithm, wherein the efficiency and practicability in a current selection criterion are updated based on the goodness of fit and regression coefficient of the elastic-net model, thereby avoiding an assumption that intensity measures and structure response need to obey a logarithmic linear relationship and the limitation of intensity measure dimensions in traditional methods. By using the combination of optimal ground motion intensity measures as input variables, the prediction accuracy can be remarkably improved, and meanwhile the number of samples required is reduced.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.