Device and method for determining and detecting the onset of structural collapse

• US 20050125197A1
• Filed: 09/16/2004
• Published: 06/09/2005
• Est. Priority Date: 02/21/2002
• Status: Active Grant

• Current Assignee: Sekos, Inc.
• Original Assignee: Sekos, Inc.
• Inventors: Meduna, Debbie Kathleen, von Gersdorff, Nicolas, Cho, Angela, Flynn, Eric, Bogucki, Mary S., Pranger, Loland Alex, Duron, Ziyad
• Granted Patent: US 7,228,240 B2
• Time in Patent Office: Days
• US Class Current: 702/182
• CPC Class Codes: G01M 5/0033 by determining damage, crack or wear
• CPC Class Codes: G01M 5/0066 by exciting or detecting vibration or acceleration vibration testing of structures G01M7/00

Abstract

A significant number of rescue workers are killed or injured each year as they conduct searches within damaged or burning structures, unaware that the structure is in imminent danger of collapse. The present invention provides a system and method for detecting and monitoring structural damages which are irreversible and which lead to inevitable collapse of a building or structure. The system includes at least one accelerometer that is housed in a device that is mounted on an exterior surface outside the burn area, and within the reach of the rescue worker. The device communicates with a remote display that provides visual and/or audible signals to indicate imminent collapse of the structure. Additionally, the system includes collapse detecting analysis processes for determining the likelihood of collapse.

Claims

1. A method of detecting the health of a structure so as to determine structural collapse comprising:

utilizing a Health of Burning Structures system having at least one of a Power Spectral Density Analysis, a Root Mean Square Analysis, a Signal Bandwidth Analysis, a Maximum Entropy Method Analysis, a Random Decrement Analysis, a Hilbert Transform, a Shock Response Spectrum, a Wavelet Transform Analysis and a Damping Estimation Analysis.

2. A method of detecting the health of a structure as recited in claim 1 and further comprising the steps of

(a) obtaining amplified digital data signal from at least one device;

(b) filtering and removing signal noise from said digital data signal using band stop filters; and

(c) obtaining a filtered signal.

3. A method of detecting the health of a structure as recited in claim 2, wherein said filtering step further comprises locating frequencies having magnitudes greater than eight standard deviations above a mean frequency amplitude to remove said signal noise.

4. A method of detecting the health of a structure as recited in claim 3, and further comprising using said Power Spectral Density Analysis and detecting component frequencies from said filtered signal.

5. A method of detecting the health of a structure as recited in claim 4 wherein said Spectral Analysis further comprises adding frequencies to said filtering step and reducing effects of transients and other error sources.

6. A method of detecting the health of a structure as recited in claim 5 wherein said Root Mean Square Analysis further comprises tracking magnitudes of energy absorbed by said structure, tracking said structure'"'"'s inability to dissipate existing energy, creating a root mean square value on said energy absorption and dissipation and showing increases in magnitude of said root mean square value.

7. A method of detecting the health of a structure as recited in claim 6, wherein said Signal Bandwidth Index Analysis further comprises the steps of:

(a) initially modeling a single solid system of said structure having a frequency; and

(b) monitoring and comparing vibrations caused by transformation of said structure, due to fire, into loosely connected systems having a greater range of frequency bandwidth.

8. A method of detecting the health of a structure as recited in claim 7, wherein said Maximum Entropy Method Analysis further comprises evaluating said filtered signal having a short duration and high sample rate using an inversion technique and calculating a damping measure by determining the bandwidth of said maximum entropy.

9. A method of detecting the health of a structure as recited in claim 8, wherein said Random Decrement Signature Analysis further comprises averaging time data of a dynamic system, averaging out initial velocities and excitations and leaving response of said structure due to initial displacement.

10. A method of detecting the health of a structure as recited in claim 9, wherein said Random Decrement Signature Analysis further comprises the steps of:

(a) utilizing a block of recent data from said filtered signal;

(b) passing said block through a digital bandpass filter;

(c) determining a threshold level for said block;

(d) diminishing crossing values; and

(e) averaging said crossing values to determine said structures'"'"' stability.

11. A method of detecting the health of a structure as recited in claim 10 wherein said Hilbert Transform Analysis further comprises using said Random Decrement Signature Analysis to determine said structure'"'"'s damping values.

12. A method of detecting the health of a structure as recited in claim 11 and utilizing said Shock Response Spectrum Analysis and identifying dominant resonant activity.

13. A method of detecting the health of a structure as recited in claim 12 wherein said Wavelet Transform Analysis further comprises using a wavelet function, matching decaying oscillations of said Random Decrement Signature and determining points of highest intensity.

14. A method of detecting the health of a structure as recited in claim 13 wherein said Damping Estimate Index Analysis further comprising utilizing a −

3 dB bandwidth damping value, a damping value from said Hilbert Transform, a damping value from a Log Decrement analysis, and a damping value from a Wavelet Intensity Ratio and determining when said structure will reach a region of instability.

15. A method of detecting the health of a structure as recited in claim 14, wherein said Health of Burning Structures system further comprises a Weighted Collapse Index, and deriving said Index by utilizing weighted averages of at least one of said Power Spectral Density Analysis, said Root Mean Square Analysis, said Signal Bandwidth Analysis, said Maximum Entropy Method Analysis, said Random Decrement Analysis, said Hilbert Transform, said Shock Response Spectrum, said Wavelet Transform Analysis and said Damping Estimation Analysis.