JP2020106524A - Building soundness monitoring system - Google Patents

Abstract

To provide a building soundness monitoring system capable of estimating, in detail, a structural performance of a building after an earthquake.SOLUTION: A building soundness monitoring system 1 includes: a wireless accelerometer 12 that is installed on a tier of the position of the equivalent height in a one-mass system vibration model simulating a building 10, and acquires earthquake information; an arithmetic processing unit 21 for calculating an interlayer deformation angle, which is a relative displacement amount to the ground motion at the position of the equivalent height, using the earthquake information: a seismic intensity calculation unit 22 for calculating the seismic intensity at a building address on the basis of the earthquake information: a structural performance index estimation unit 23 for estimating the disaster degree of the building 10 after the earthquake by compering the interlayer deformation angle to the ground motion with a predetermined threshold; and a display unit 31 for displaying the seismic intensity at the building address and the disaster degree of the building.SELECTED DRAWING: Figure 1

Description

The present invention relates to a health monitoring system that estimates the structural performance of a building.

Various building health monitoring systems have been proposed that can grasp the structural performance of a building, that is, the soundness of the building, such as the degree of damage to the building without directly observing the building after an earthquake.
For example, in Patent Document 1, a sensor that is arranged in an observation layer of a building and detects the seismic intensity of the earthquake and the acceleration of vibration applied to the building from the ground due to the earthquake, and the characteristic of the building based on response information obtained by the sensor There is disclosed a configuration that includes a soundness determination unit that determines a necessary shear force coefficient corresponding to a cycle and determines the soundness of a building, and transmits information indicating the determination result to a user terminal.
In the configuration as disclosed in Patent Document 1, the sensor provided in the building detects the absolute value of seismic intensity or acceleration. However, in order to accurately evaluate the soundness of a building, it is desirable to grasp with high accuracy how much the building has been deformed by the earthquake.

Further, in Patent Document 2, a sensor device that detects an acceleration when the structure vibrates due to an earthquake or the like and a tilt of the structure is installed in the structure, and a sensor based on acceleration data detected by the sensor device. A configuration is disclosed in which the displacement of a floor provided with a device is calculated and the structural performance of a structure is diagnosed.
In the configuration as disclosed in Patent Document 2, the sensor device provided in the building detects the absolute value of the acceleration, the inclination of the structure, or the like. In this case as well, in order to accurately evaluate the soundness of the building, it is desired to more accurately grasp the degree of deformation of the building caused by the earthquake.
Further, in Patent Document 3, an acceleration generated in a structure due to an earthquake is detected, an interlayer deformation angle of the structure is calculated based on the detected acceleration, and a structure of the structure is calculated based on the obtained interlayer deformation angle. A configuration for diagnosing performance is disclosed.
With the configuration disclosed in Patent Document 3, the absolute value of the acceleration generated in the structure is detected. In this case as well, in order to accurately evaluate the soundness of the building, it is desired to more accurately grasp the degree of deformation of the building caused by the earthquake.

JP, 2016-75583, A JP, 2017-167883, A JP, 2008-59718, A

The problem to be solved by the present invention is to provide a building soundness monitoring system capable of estimating the structural performance of a building after an earthquake in detail.

The present inventors used the earthquake information measured by a wireless accelerometer or a wireless strain gauge installed at the upper part of the building as a damage level estimation system for the building after the occurrence of the earthquake to determine the maximum interlayer displacement generated in the building. The present invention has been accomplished by focusing on the point that the structural performance of a building after an earthquake can be estimated in detail by calculating and estimating the damage level of the building from the maximum interlayer displacement.
The present invention adopts the following means in order to solve the above problems. That is, the building soundness monitoring system of the present invention is a building soundness monitoring system for grasping the soundness of a building after an earthquake occurs, and is equivalent to the equivalent height in a one-mass system vibration model simulating the building. A wireless accelerometer or a wireless strain gauge that is installed in the corresponding first layer to acquire earthquake information, and a relative displacement amount with respect to ground motion in the first layer using the earthquake information. After the earthquake, the arithmetic processing unit that calculates the interlayer deformation angle, the seismic intensity calculation unit that calculates the seismic intensity of the building location based on the earthquake information, and the first interlayer deformation angle for the ground motion and a predetermined threshold value are compared. And a display unit that displays the seismic intensity of the building location and the damage level of the building.
According to such a configuration, the acceleration generated at the occurrence of an earthquake or You can get the earthquake information of the strain. The arithmetic processing unit uses the acquired earthquake information to calculate the first interlayer deformation angle with respect to the ground motion in the first layer. In this way, by estimating the structural performance index indicating the damage level of the building after the earthquake based on the first interlayer deformation angle with respect to the ground motion, not the absolute value of the acceleration generated in the building, Structural performance can be estimated in more detail. Further, by displaying the estimated structural performance index on the display unit, the user who confirms the display can grasp the damage level of the building, that is, the structural performance in more detail.
Furthermore, based on the earthquake information (acceleration or strain), the seismic intensity at each building location where the building is built is calculated, and the calculated seismic intensity is displayed, so that the user who confirms the display can confirm that the building is installed. It is possible to grasp the seismic load input to the building in more detail rather than the seismic intensity of the entire area.
Therefore, it is possible to provide a building health monitoring system capable of estimating the structural performance of the building after the earthquake in detail.

The building soundness monitoring system of the present invention is a building soundness monitoring system for grasping the soundness of a building after the occurrence of an earthquake, and is located at an equivalent height position in a one-mass system vibration model simulating the building. A wireless accelerometer or a wireless strain gauge that is installed in each of the corresponding first layer and the second layer below the first layer to acquire earthquake information, and using the earthquake information , A first floor deformation angle that is a relative displacement amount to the ground motion in the first floor and the second floor, and an arithmetic processing unit that calculates a second floor deformation angle, and a building based on the earthquake information. The seismic intensity calculation unit that calculates the seismic intensity of the location is compared with the first inter-story deformation angle and the second inter-story deformation angle, whichever is larger, and a predetermined threshold value to compare the building after the earthquake. The structural performance index estimation unit that estimates the degree of damage of the building, and the display unit that displays the seismic intensity of the building location and the degree of damage of the building.
According to such a configuration, by the wireless accelerometer or the wireless strain gauge, the first layer corresponding to the position of the equivalent height in the one-mass system vibration model simulating the building, and the layer below the first layer It is possible to acquire the earthquake information of the acceleration or the strain generated at the time of the occurrence of the earthquake in the second hierarchy of. The arithmetic processing unit uses the acquired earthquake information to calculate the first interlayer deformation angle and the second interlayer deformation angle with respect to the ground motion in the first layer and the second layer. By estimating the structural performance index indicating the post-earthquake damage level of the building based on the larger one of the first story deformation angle and the second story deformation angle for the ground motion, The structural performance of a building can be estimated in even more detail. In particular, when the interlayer deformation angle becomes large on the lower floors of the building, the second interlayer deformation calculated using the earthquake information acquired by the wireless accelerometer or wireless strain gauge provided in the second floor The structural performance index in the lower floors of the building can be estimated based on the corners. Further, by displaying the estimated structural performance index on the display unit, the user who confirms the display can grasp the damage level of the building, that is, the structural performance in more detail.
Furthermore, based on the earthquake information (acceleration or strain), the seismic intensity at each building location where the building is built is calculated, and the calculated seismic intensity is displayed, so that the user who confirms the display can confirm that the building is installed. It is possible to grasp the seismic load input to the building in more detail rather than the seismic intensity of the entire area.
Therefore, it is possible to provide a building health monitoring system capable of estimating the structural performance of the building after the earthquake in detail.

In one aspect of the present invention, in the soundness monitoring system for a building of the present invention, the arithmetic processing unit is based on a displacement waveform in the first floor and a response magnification of the first floor, and In the case where the first interlayer deformation angle in the first layer is calculated and the wireless accelerometer or the wireless strain gauge is also provided in the second layer, further in the second layer. It is characterized in that the second interlayer deformation angle in the second layer is calculated based on the displacement waveform and the response magnification of the second layer.
According to such a configuration, the interlayer deformation angle, which is the relative displacement amount with respect to the ground motion, in the first layer is calculated using the earthquake information acquired by the wireless accelerometer or the wireless strain gauge. Further, when the wireless accelerometer or the wireless strain gauge is also provided in the second layer, the second interlayer deformation angle in the second layer is further calculated. This makes it possible to calculate the inter-story deformation angle for ground motions without installing sensors for detecting acceleration, etc. on the ground around the building or the foundation of the building, making it easy to build and install a soundness monitoring system for the building. It becomes possible to do it.

In another aspect of the present invention, in the building soundness monitoring system of the present invention, the arithmetic processing unit calculates interlayer deformation angles of a plurality of the layers including at least the first layer. ..
According to the above configuration, it is possible to calculate the interlayer deformation angle with respect to the ground motion not only in the first floor but also in a plurality of floors including at least the first floor forming the building. In this way, by obtaining the interlayer deformation angles in a plurality of layers, it is possible to estimate the structural performance indicating the degree of damage of the building after the earthquake in more detail.

ADVANTAGE OF THE INVENTION According to this invention, it becomes possible to provide the soundness monitoring system of a building which can estimate the structural performance of the building after an earthquake in detail.

It is a figure which shows schematic structure of the soundness monitoring system of the building in this embodiment. It is a figure which shows schematic structure of the building in which the soundness monitoring system of the building in 1st embodiment of this invention was set. It is a schematic diagram of a one-mass system vibration model simulating a building. It is a figure which shows the display part which comprises the soundness monitoring system of a building. It is a flow chart which shows a flow of a health monitoring method of a building in a monitoring device which constitutes a health monitoring system of a building. It is a figure which shows the displacement response magnification used for calculating a ground motion displacement waveform. It is a figure which shows the acceleration response magnification used for calculating a ground motion displacement waveform. It is a figure which shows the specifications of the building used in the 1st verification example of the soundness monitoring system of a building. It is a figure which shows the eigenvalue etc. of the building used in the 1st verification example of the soundness monitoring system of a building. It is a figure which shows the natural vibration mode of the building used in the 1st verification example of the soundness monitoring system of a building, and the relationship of a building hierarchy. It is a comparison figure of the maximum interlayer displacement obtained by the soundness monitoring system (1 mass system vibration model) of a building of the present invention by the 1st verification example, and a multi-mass system vibration model. It is a figure which shows the specifications of the building used in the 2nd verification example of the soundness monitoring system of a building. It is a figure which shows the characteristic value etc. of the building used in the 2nd verification example of the soundness monitoring system of a building. It is a figure which shows the natural vibration mode of the building used in the 2nd verification example of the soundness monitoring system of a building, and the relationship of a building hierarchy. It is a comparison figure of the maximum interlayer displacement obtained by the soundness monitoring system (1 mass system vibration model) of a building of the present invention by the 2nd verification example, and a multi-mass system vibration model. It is a figure which shows schematic structure of the building in which the soundness monitoring system of the building in 2nd embodiment of this invention was set. It is a schematic diagram of the vibration model of the building in the health monitoring system of the building of 2nd embodiment of this invention, and a 1 mass system vibration model. It is a flow chart which shows a flow of a health monitoring method of a building in a monitoring device which constitutes a health monitoring system of a building of a second embodiment of the present invention. It is a figure which shows typically the calculation content in the soundness monitoring method of the building of this 2nd embodiment. It is a figure which shows the equivalent shear mass system model in the building for verification of 5-40 layers in the verification example of the soundness monitoring system of a building. It is a figure which shows the specifications of the building used in the verification example of the soundness monitoring system of a building. It is a figure which shows the magnitude of the seismic wave used for verification of the health monitoring system of a building, and the relationship of maximum acceleration. It is a figure which shows the estimation result of the building natural period in each vibration model for verification. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in the case where only the lower layer wireless accelerometer is provided. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in the case where only the upper layer wireless accelerometer is provided. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in the case of equipping the upper layer part and the lower layer part with a wireless accelerometer. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in case the installation height of the radio accelerometer of a lower layer part is 0.3 times with respect to the floor height of a building. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in case the installation height of the radio accelerometer of a lower layer part is 0.4 times with respect to the floor height of a building. It is a figure which shows the distribution of the estimation precision of the maximum interlayer deformation angle in case the installation height of the radio accelerometer of a lower layer part is 0.5 times with respect to the floor height of a building.

The present invention, as a system for estimating the damage level of a building after an earthquake, monitors a wireless sensor (accelerometer or strain gauge) installed on the upper part of the building and the damage level of the building from the earthquake information measured by the sensor. It is a building monitoring system including a device and a terminal device that displays the damage level of the building.
Specifically, the wireless accelerometer or wireless strain gauge is installed only in the first floor corresponding to the position of the equivalent height in the one-mass system vibration model simulating the building, and the accelerometer or strain gauge is installed. The first embodiment for obtaining the earthquake information from the building and estimating the damage level of the building after the earthquake and the wireless accelerometer or the wireless strain gauge are installed in the first layer and the lower layer respectively, and the earthquakes There is a second embodiment in which the degree of damage to a building after an earthquake is estimated from information.
Hereinafter, an embodiment for implementing a building health monitoring system according to the present invention will be described with reference to the accompanying drawings.
[First embodiment]
FIG. 1 shows a schematic configuration of a building health monitoring system according to this embodiment. FIG. 2 is a diagram showing a schematic configuration of a building in which the building health monitoring system is set. FIG. 3 is a schematic diagram of a one-mass system vibration model simulating a building. FIG. 4 is a diagram illustrating a display unit of a user terminal that constitutes the building health monitoring system.

As shown in FIG. 1, the building health monitoring system 1 includes a plurality of buildings 10, a monitoring device 20, and a user terminal 30. The building soundness monitoring system 1 grasps (evaluates) the soundness of the building 10 after the earthquake.
The plurality of buildings 10 are managed by a specific user (for example, an owner of the building 10 or an administrator of the building 10).
As shown in FIG. 2, each building 10 is constructed on the ground G and has a plurality of layers 11 in the vertical direction. Here, the plurality of buildings 10 need not have the same number of floors or the same structure (reinforced concrete construction, steel frame construction, reinforced concrete construction, etc.).
A wireless accelerometer 12 is provided in each building 10. The wireless accelerometer 12 is installed on the floor slab of the layer (first layer) 11S corresponding to the position of the equivalent height He in the one-mass system vibration model M of the building 10 as shown in FIG. .. The wireless accelerometer 12 includes a sensor 13 and a communication unit 14.
The sensor 13 detects (acquires) the acceleration generated in the layer 11S when the earthquake occurs as the earthquake information. The earthquake information detected by the sensor 13 is output to the communication unit 14.
The communication unit 14 can wirelessly communicate with the external network 100. Here, the external network 100 is, for example, a public wireless network or the like capable of wirelessly communicating with the communication unit 14. The communication unit 14 transmits the earthquake information detected by the sensor 13 and the identification information for identifying (identifying) the building 10 in which the wireless accelerometer 12 is provided via the external network 100 as shown in FIG. To the health monitoring system 1.

As shown in FIG. 1, the monitoring device 20 is connected to an external network 100 wirelessly or by wire. The monitoring device 20 evaluates the soundness of each building 10 based on the information (earthquake information and identification information) transmitted from the plurality of buildings 10.
The monitoring device 20 mainly includes a calculation processing unit 21, a seismic intensity calculation unit 22, a structural performance index estimation unit 23, a display processing unit 24, and a database 25.
The database 25 includes identification information of each building 10, user destination information such as a mail address of a terminal 30 of a user of each building 10, building information such as the structure and number of layers of each building 10, and wireless acceleration in each building 10. The installation height and the like of the total 12 are stored. Further, the database 25 stores various setting parameter values, threshold values, coefficients, etc. used when the processing is performed by the arithmetic processing unit 21, the seismic intensity calculating unit 22, the structural performance index estimating unit 23, and the like.
Upon receiving the information transmitted from the wireless accelerometer 12 of the building 10 via the external network 100, the arithmetic processing unit 21 makes a relative movement of the building 10 to the ground motion based on the earthquake information included in the received information. The inter-layer deformation angle (first inter-layer deformation angle) θ which is the amount of deformation is calculated.
The seismic intensity calculator 22 calculates the seismic intensity at the place where the building 10 is provided, that is, the building 10 itself based on the earthquake information.
The structural performance index estimation unit 23 compares the interlayer deformation angle θ calculated by the calculation processing unit 21 with a predetermined threshold value to indicate the post-earthquake damage level of the building 10, more specifically, the damage level. Estimate structural performance indicators. As the structural performance index indicating the degree of damage to the building 10 after the earthquake, there is, for example, one that indicates the degree of damage to the building in multiple stages such as “safety”, “necessary inspection”, and “danger”.
The display processing unit 24 gives the estimation result including the information indicating the seismic intensity in the building 10 calculated by the seismic intensity calculation unit 22 and the structural performance index of the building 10 estimated by the structural performance index estimation unit 23 to the user's terminal. In order to display at 30, the evaluation list data including the estimation result is generated. The evaluation list data generated by the display processing unit 24 is transmitted to the user terminal 30 via the external network 100. When the user owns or manages the plurality of buildings 10, the display processing unit 24 transmits the evaluation list data of the plurality of buildings 10 associated with the user to the terminal 30 of the user.

As shown in FIG. 4, the user's terminal 30 is a personal computer, a tablet device, a smartphone, a mobile phone, or the like, and can be connected to the external network 100 wirelessly or by wire. The user terminal 30 has a display unit 31 that displays the seismic intensity of the building location where the building 10 is built and the structural performance index. Upon receiving the evaluation list data via the external network, the user terminal 30 displays the evaluation list 33 based on the received data on the display unit 31. In this evaluation list 33, for example, building name information 33a owned or managed by the user, earthquake record date/time information 33b measured by the monitoring device 20 within a predetermined period (for example, the latest one day) in each building, structural performance Structural performance index information 33c indicating the state of the building 10 estimated by the index estimation unit 23, seismic intensity information 33d on the building 10 calculated by the seismic intensity calculation unit 22, and the like are included.
The evaluation list 33 shown in FIG. 4 is merely an example, and the information included in the evaluation list 33 can be changed as appropriate.

(Soundness monitoring method)
FIG. 5 is a flowchart showing the flow of a building health monitoring method in a monitoring device that constitutes the building health monitoring system.
In order to monitor the soundness of the building 10 with the monitoring device 20, first, after the occurrence of an earthquake, information including the earthquake information (acceleration) detected by the sensor 13 of the wireless accelerometer 12 provided in the building 10 is externally transmitted. From the network 100 (step S1).
Then, the monitoring device 20 executes the following soundness monitoring process for the building 10 based on a predetermined computer program.

In this process, first, the arithmetic processing unit 21 calculates a displacement waveform in the layer 11S in which the wireless accelerometer 12 is installed (step S2). For this, the response acceleration waveform of the sensor 13 included in the earthquake information received from the wireless accelerometer 12 is bypass-filtered by the bypass filter included in the arithmetic processing unit 21. As a result, noise in a period band longer than the natural period of the building 10 that is mixed in the response acceleration waveform by the sensor 13 or the like is removed. Then, the arithmetic processing unit integrates the response acceleration waveform after the bypass filter processing twice. The velocity waveform of the displacement due to the earthquake is obtained by the first integration. By the second integration, the displacement waveform due to the earthquake can be obtained from the velocity waveform. The calculation for obtaining the displacement waveform is performed in the frequency domain (or time history domain).

Next, the arithmetic processing unit 21 calculates a ground motion displacement waveform from the displacement waveform of the layer 11S obtained above (step S3). For this purpose, first, the response magnification is obtained. As the response magnification, the larger one of the displacement response magnification and the acceleration response magnification is adopted. Here, the displacement response magnification is obtained by the following equation (1) and is as shown in FIG. Further, the acceleration response magnification is obtained by the following equation (2) and is as shown in FIG. FIG. 6 is a diagram showing the displacement response magnification used to calculate the ground motion displacement waveform. FIG. 7 is a diagram showing an acceleration response magnification used to calculate a ground motion displacement waveform. In both figures, the horizontal axis is the frequency ratio of the ground to the building, and the vertical axis is the response magnification of each.

However, in the above equations (1) and (2), h is the damping constant of the building 10, p is the frequency (Hz) of the external force, and ω is the natural frequency (Hz) of the building 10. Here, the damping constant h can be set to, for example, h=0.02 when the building 10 is a steel frame structure, and h=0.03 when the building 10 is a reinforced concrete structure. Further, the damping constant h may be identified from the microtremor measurement result of the sensor 13. The natural frequency ω is obtained by calculation from the design primary natural period obtained from the height of the building 10, calculation from the acceleration waveform by the zero-cross method, or the like.
Next, in the arithmetic processing unit 21, from the response magnification obtained in this way and the displacement waveform obtained in step S2,
(Displacement waveform)/(Response magnification)
Then, the ground motion displacement waveform is calculated. At this time, the Fourier transform is performed, the calculation is performed in the frequency domain, and the time history waveform is restored by the inverse transform.

Then, in the arithmetic processing unit 21, from the displacement waveform obtained in step S2 in the layer 11S in which the wireless accelerometer 12 shown in FIG. 2 is installed and the ground displacement waveform obtained in step S3,
(Displacement waveform)-(Ground displacement waveform)
Thus, the relative displacement waveform with respect to the ground motion in the layer 11S in which the wireless accelerometer 12 is installed is calculated (step S4).
After that, in the arithmetic processing unit 21, from the relative displacement waveform with respect to the ground motion obtained in step S4 and the installation height (He) of the wireless accelerometer 12 in the building 10,
(Maximum value of relative displacement waveform with respect to ground motion)/(installation height)
Thus, the interlayer deformation angle θ in the building 10 is calculated (step S5). FIG. 3 shows the interlayer deformation angle θ with respect to the ground motion at the position of the equivalent height He in the one-mass system vibration model M calculated as described above.

Next, the structural performance index estimation unit 23 estimates a structural performance index indicating the degree of damage to the building 10 after the earthquake as shown in FIG. 5 (step S6). For this, the interlayer deformation angle θ with respect to the ground motion calculated in step S5 is compared with a predetermined threshold value stored in advance in the database 25. At this time, in actuality, with respect to the ground motion, a correction coefficient that takes into consideration the difference between the structural type of the building 10 and the position of the equivalent height He in the one-mass system vibration model M and the actual installation height of the wireless accelerometer 12 is used. The value corrected by multiplying the interlayer deformation angle θ is compared with a predetermined threshold as the interlayer deformation angle θ for ground motion. The structural performance index estimation unit 23 uses, for example, the degree of damage of the building as “safe”, as the structural performance index indicating the degree of damage of the building 10 after the earthquake according to the comparison result of the interlayer deformation angle θ with respect to the ground motion and the threshold value. It is output as estimated information in multiple stages such as "necessary to check" and "danger".

In addition, the seismic intensity calculator 22 calculates the seismic intensity at the location of the building 10 (building 10 itself) based on the earthquake information (acceleration) detected by the sensor 13 of the wireless accelerometer 12 (step S7). For this, the acceleration detected by the sensor 13 is compared with the range of acceleration of each seismic intensity class to calculate the seismic intensity class at the location of the building 10.
After that, the display processing unit 24 performs the processing as shown in steps S2 to S7 on each of the earthquake information received from the wireless accelerometers 12 of the plurality of buildings 10 and then estimates the plurality of buildings 10. The results (calculation results) are totaled (step S8). In the display processing unit 24, for each building 10, the estimation result including the structural performance index of the building 10 estimated in step S6 and the information indicating the seismic intensity in the building 10 calculated in step S7 is tabulated, and FIG. Data for displaying the evaluation list 33 as illustrated is generated.
The data of the estimation result generated in this way is transmitted from the monitoring device 20 to the terminal 30 of the user via the external network 100 (step S9).

(Verification of estimation accuracy by soundness monitoring method)
Here, in order to verify the estimation accuracy in the soundness monitoring system for a building of the present invention, a detailed case of modeling with a multi-mass system vibration model for a 5-story building and a 10-story building The estimation results of the maximum story displacement by the one-mass system vibration model by the building soundness monitoring system of the invention were compared.
(First verification example)
The building 10 is intended for 5 stories. The vibration model was set to have the same mass for all layers, and the rigidity was set so as to be proportional to the layer shear force obtained from the Ai distribution and to have the design first-order natural period.
FIG. 8 is a diagram showing the specifications of the building used in the first verification example of the building soundness monitoring system. FIG. 9: is a figure which shows the characteristic value etc. of the building used in the 1st verification example of the soundness monitoring system of a building. FIG. 10 is a diagram showing a relationship between a natural vibration mode of a building and a building hierarchy based on a soundness monitoring system for a building (one-mass system vibration model) and a multi-mass system vibration model.
The vibration model for verification is a five-layer model. This vibration model has the specifications shown in FIG. 8, the natural period shown in FIG. 9, the effective mass, and the mode shape shown in FIG. Here, H is the floor height of the floor, |H| is the height of the floor (of the ceiling) from the ground surface, and T is the primary natural period for design of the floor (building height [m])× α (steel frame structure: α=0.03, RC structure: α=0.02), m is the mass of the layer, and Ai is the distribution of the layer shear force coefficient in the height direction. Further, in this vibration model, the equivalent height He is 14.7 m, and it is assumed that the wireless accelerometer 12 is provided in four layers (16 m).
FIG. 11 is a comparison diagram of the maximum interlayer displacements obtained by the building soundness monitoring system (one-mass system vibration model) and the multi-mass system vibration model of the present invention. As shown in FIG. 11, it is an analysis result of the maximum story displacement in each floor of the building when the original wave of the 1940 El Centro earthquake is input to the vibration model. The horizontal axis of FIG. 11 represents the maximum story displacement, and the vertical axis represents the mass point position of each floor of the building. The circles on the lines L2 and L3 described below indicate the position of the equivalent height He when the building is modeled as a one-mass system vibration model.
In FIG. 11, the maximum relative displacement obtained by the building soundness monitoring system (single-mass system vibration model) of the present invention is shown by L2, and the maximum relative displacement by the detailed multi-mass system vibration model is shown by L1. Further, for comparison, the maximum absolute displacement obtained by the conventional system that does not perform the ground motion displacement waveform and the relative displacement waveform with respect to the ground motion as in steps S3 and S4, that is, the conventional system that does not consider the ground motion is indicated by L3. ..
As shown in FIG. 11, the displacement (line L2 in FIG. 11) estimated by the building soundness monitoring system 1 is more detailed than the displacement (line L3 in FIG. 11) in the conventional system. It tended to approximate the displacement (line L1 in FIG. 11) obtained by the vibration model. That is, it is more accurate by estimating the relative displacement waveform with respect to the ground motion by the building health monitoring system 1 by comparing with the interlayer deformation angle using the maximum interlayer displacement (line L3 in FIG. 11) that does not consider the ground motion. It was possible to estimate.

(Second verification example)
FIG. 12 is a diagram showing the specifications of the building used in the second verification example of the building soundness monitoring system. FIG. 13: is a figure which shows the characteristic value etc. of the building used in the 2nd verification example of the soundness monitoring system of a building. FIG. 14: is a figure which shows the vibration model used in the 2nd verification example of the soundness monitoring system of a building. FIG. 15 is a comparison diagram of the maximum interlayer displacements obtained by the building soundness monitoring system (single-mass system vibration model) and the multi-mass system vibration model of the present invention.
The vibration model for verification is a 10-layer model. This vibration model has the specifications shown in FIG. 12, the natural period shown in FIG. 13, the effective mass, and the mode shape shown in FIG. In this vibration model, it is assumed that the equivalent height He is 27.8 m and that the wireless accelerometer 12 is provided in 7 layers (28 m).
As shown in FIG. 15, an actual displacement (dDisp) when the original wave of the 1940 El Centro earthquake was input was obtained by simulation with respect to the vibration model (line L11 in FIG. 15). Further, in the building soundness monitoring system 1, the relative displacement waveform with respect to the ground motion was calculated and estimated (line L12 in FIG. 15). Further, for comparison, the displacement is estimated in the conventional system that does not perform the process of calculating the ground motion displacement waveform and the relative displacement waveform with respect to the ground motion as in steps S3 and S4, that is, in the conventional system that does not consider the ground motion (see FIG. 15). Line L13).
As a result, the displacement estimated by the building soundness monitoring system 1 (line L12 in FIG. 15) was obtained by a detailed multi-mass system vibration model as compared with the displacement in the conventional system (line L13 in FIG. 15). (Line L11 in FIG. 15) tended to be similar. That is, by comparing the interlayer deformation angles using the maximum interlayer displacement (line L13 in FIG. 15) that does not consider the ground motion, and estimating the relative displacement waveform with respect to the ground motion by the building health monitoring system 1, more accurate I was able to estimate.

According to the building soundness monitoring system 1 as described above, it is installed in the layer (first layer) 11S at the position of the equivalent height He in the one-mass system vibration model M simulating the building 10 and acquires earthquake information. A wireless accelerometer 12, and an arithmetic processing unit 21 for calculating an interlayer deformation angle (first interlayer deformation angle) θ which is a relative displacement amount with respect to ground motion at a position of the equivalent height He using the seismic information, Structural performance index estimation that estimates the degree of damage to the building 10 after the earthquake by comparing the seismic intensity calculation unit 22 that calculates the seismic intensity at the building location based on the earthquake information with the interlayer deformation angle θ for the ground motion and a predetermined threshold value It includes a unit 23 and a display unit 31 that displays the seismic intensity of the building location and the damage level of the building 10.
According to such a configuration, the acceleration generated at the time of the earthquake occurs as earthquake information in the layer 11S corresponding to the position of the equivalent height He in the one-mass system vibration model M simulating the building 10 by the wireless accelerometer 12. To be acquired. The arithmetic processing unit 21 uses the acquired earthquake information to calculate the interlayer deformation angle θ with respect to the ground motion at the equivalent height He in the one-mass system vibration model M. As described above, by estimating the structural performance index indicating the degree of damage of the building 10 after the earthquake based on the interlayer deformation angle θ with respect to the ground motion, not the absolute value of the acceleration generated in the building 10, the building 10 after the earthquake is estimated. The structural performance of can be estimated in more detail. Further, by displaying the estimated structural performance index on the display unit 31, the user who has confirmed the display can grasp the damage level of the building 10, that is, the structural performance in more detail.
Furthermore, the seismic intensity at each building location where the building 10 is built is calculated based on the earthquake information, and the calculated seismic intensity is displayed so that the user who confirms the display is in the area where the building 10 is provided. It is possible to grasp the seismic load input to the building 10 in more detail rather than the overall seismic intensity.
Therefore, it is possible to provide the soundness monitoring system 1 for a building that can estimate the structural performance of the building 10 after the earthquake in detail.

In particular, in the present embodiment, as shown in FIG. 4, the states of the plurality of buildings 10 can be simultaneously displayed as a list on the display unit 31. For this reason, the user can grasp the situations of the plurality of buildings 10 at the same time while comparing them, and can easily prioritize the restoration of the buildings 10. Therefore, it is possible to easily formulate a business continuity plan for measuring the continuation and restoration of the business while minimizing the damage.

In addition, the arithmetic processing unit 21 calculates the interlayer deformation angle θ in the layer 11S based on the displacement waveform in the layer 11S at the position of the equivalent height He calculated based on the earthquake information and the response magnification of the layer 11S. To do.
According to such a configuration, by using the seismic information acquired by the wireless accelerometer 12, the interlayer deformation angle θ which is the relative displacement amount with respect to the ground motion at the position of the equivalent height He in the one-mass system vibration model M is calculated. It is calculated. This makes it possible to calculate the interlayer deformation angle θ with respect to the ground motion without providing a sensor for detecting acceleration or the like on the ground around the building 10 or the foundation of the building 10, and the soundness monitoring system 1 for the building 10 It is possible to easily construct and install.

Further, the arithmetic processing unit 21 calculates the displacement waveform in the ground motion based on the displacement waveform in the layer 11S at the position of the equivalent height He calculated based on the earthquake information and the response magnification of the layer 11S, and the layer From the displacement waveform in 11S and the displacement waveform in ground motion, the relative displacement waveform with respect to the ground motion of the layer 11S is calculated, and the interlayer deformation angle θ is calculated based on the relative displacement waveform.
According to such a configuration, the deformation waveform in the ground motion used for calculating the interlayer deformation angle θ is calculated based on the displacement waveform in the layer 11S at the position of the equivalent height He and the response magnification of the layer 11S. , It becomes possible to calculate the inter-story deformation angle θ with respect to ground motion without providing a sensor for detecting acceleration or the like generated in the ground or the foundation of the building 10, and it is easy to construct and install the soundness monitoring system 1 for a building. It becomes possible to do it.

In particular, in this embodiment, the number of wireless accelerometers 12, that is, sensors provided in the health monitoring system 1 is one. When the number of sensors becomes plural, it is necessary to consider the mutual communication for synchronizing the time axis of each sensor, the processing when any one of the sensors fails, and the like. For this reason, if the number of installed sensors increases, the system configuration becomes complicated and it takes time and effort to construct and install them. That is, in the present embodiment in which the number of sensors is one, the effect that it becomes possible to easily construct and install the building health monitoring system 1 as described above can be particularly effectively exerted. ..

[Second embodiment]
Next, a second embodiment for implementing the building health monitoring system according to the present invention will be described. The second embodiment shown below mainly differs from the first embodiment in that wireless accelerometers 12 are provided in a plurality of layers of the building 10. In the following description, a description will be given focusing on the configuration different from the first embodiment, and the configuration common to the first embodiment will be denoted by the same reference numeral as the first embodiment in the drawings Description may be omitted.
In the first embodiment described above, based on the output of the wireless accelerometer 12 installed only at the position of the equivalent height He in the one-mass system vibration model M of the building 10, the average interlayer deformation angle of the entire building 10 is calculated. Estimated. In such a form, when the interlayer deformation angle of the maximum layer is set as the estimation target, the estimation error may increase. This is the estimation target in the first embodiment is the average interlayer deformation angle of the building 10 from the ground surface to the floor 11S in which the wireless accelerometer 12 is installed, and in the actual building, the floor of each floor 11 The deformation angle is not uniform but varies. To cope with this, in the second embodiment, in addition to the first embodiment, a wireless accelerometer is further installed in the lower layer portion of the building where the deformation is likely to be large.
FIG. 16 shows a schematic configuration of a building in which the building soundness monitoring system according to the present embodiment is set. FIG. 17 is a schematic diagram of a building vibration model and a one-mass system vibration model in the building soundness monitoring system according to the second embodiment of the present invention.

As shown in FIG. 1, the building health monitoring system 1 includes a plurality of buildings 10, a monitoring device 20, and a user terminal 30.
As shown in FIG. 16, each building 10 is provided with wireless accelerometers 12P and 12Q. In the present embodiment, the wireless accelerometer 12P is provided on the floor slab of the first floor 11P corresponding to the position of the equivalent height He in the one-mass system vibration model M of the building 10 as shown in FIG. ing. The wireless accelerometer 12Q is installed on the floor slab of the second floor 11Q, which is lower than the first floor 11P.
Note that the present embodiment is characterized in that the wireless accelerometers 12P and 12Q can be constructed at low cost, and that the sensors are not synchronized so that maintenance can be easily performed after the sensors are installed. However, when building a soundness monitoring system for a building by installing multiple accelerometers with synchronization functions, the cost will increase, but at each sensor position in the building, the seismic information Can be obtained.
Here, the installation height of the wireless accelerometer 12Q provided in the lower layer portion is preferably within the range of 0.25H to 0.5H with respect to the floor height H of the building 10. It is particularly preferable that the installation height of the wireless accelerometer 12Q provided in the lower layer portion is within the range of 0.25H to 0.4H with respect to the floor height H of the building 10.

The wireless accelerometers 12P and 12Q each include a sensor 13 and a communication unit 14.
The sensor 13 detects (acquires) the acceleration generated in the first layer 11P and the second layer 11Q when the earthquake occurs as the earthquake information. The earthquake information detected by the sensor 13 is output to the communication unit 14.
The communication unit 14 can wirelessly communicate with the external network 100. The communication unit 14 transmits the earthquake information detected by the sensor 13 and the identification information for identifying (identifying) the building 10 in which the wireless accelerometers 12P and 12Q are provided via the external network 100 as shown in FIG. And sends it to the building health monitoring system 1.

As shown in FIG. 1, the monitoring device 20 mainly includes an arithmetic processing unit 21, a seismic intensity calculation unit 22, a structural performance index estimation unit 23B, a display processing unit 24, and a database 25.
The database 25 includes identification information of each building 10, user destination information such as a mail address of a terminal 30 of a user of each building 10, building information such as the structure and number of layers of each building 10, and wireless acceleration in each building 10. The installation height and the like of the total 12P and 12Q are stored. Further, the database 25 stores various setting parameter values, threshold values, coefficients, etc. used when processing is performed by the arithmetic processing unit 21, the seismic intensity calculating unit 22, the structural performance index estimating unit 23B, and the like.
When the arithmetic processing unit 21 receives the information transmitted from the wireless accelerometers 12P and 12Q of the building 10 via the external network 100, the first processing unit 21 of the building 10 is detected based on the earthquake information included in the received information. The first interlayer deformation angle θ1 that is the relative deformation amount with respect to the ground motion in the layer 11P and the second interlayer deformation angle θ2 that is the relative deformation amount with respect to the ground motion in the second layer 11Q are calculated.
The seismic intensity calculator 22 calculates the seismic intensity at the place where the building 10 is provided, that is, the building 10 itself based on the earthquake information.
The structural performance index estimation unit 23B compares the larger interlayer deformation angle of the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 calculated by the arithmetic processing unit 21 with a predetermined threshold value. Estimate the post-earthquake damage level of the building 10, more specifically, the structural performance index indicating the degree of damage level. As the structural performance index indicating the degree of damage to the building 10 after the earthquake, there is, for example, one that indicates the degree of damage to the building in multiple stages such as “safety”, “necessary inspection”, and “danger”.
The display processing unit 24 displays the estimation result including the information indicating the seismic intensity in the building 10 calculated by the seismic intensity calculation unit 22 and the structural performance index of the building 10 estimated by the structural performance index estimation unit 23B, to the user's terminal. In order to display at 30, the evaluation list data including the estimation result is generated. The evaluation list data generated by the display processing unit 24 is transmitted to the user terminal 30 via the external network 100.

(Soundness monitoring method)
FIG. 18 is a flowchart showing the flow of the building soundness monitoring method in the monitoring device constituting the building soundness monitoring system of the second embodiment. FIG. 19: is a figure which shows typically the calculation content in the soundness monitoring method of the building of this 2nd embodiment.
As shown in FIG. 18, in order to monitor the soundness of the building 10 by the monitoring device 20, first, after the occurrence of an earthquake, the sensors 13 of the wireless accelerometers 12P and 12Q provided in the building 10 detect the soundness. Information including earthquake information (acceleration) is received from the external network 100 (step S11).
Then, the monitoring device 20 executes the following soundness monitoring process for the building 10 based on a predetermined computer program.

As shown in FIGS. 18 and 19, in this process, first, the arithmetic processing unit 21 installs the displacement waveform in the first floor 11P in which the wireless accelerometer 12P is installed and the wireless accelerometer 12Q. The displacement waveform in the second layer 11Q is calculated (step S12). For this, the response acceleration waveforms of the sensor 13 included in the respective earthquake information received from the wireless accelerometers 12P and 12Q are bypass-filtered by the bypass filter provided in the arithmetic processing unit 21. As a result, noise in a period band longer than the natural period of the building 10 that is mixed in the response acceleration waveform by the sensor 13 or the like is removed. Then, the arithmetic processing unit integrates the response acceleration waveform after the bypass filter processing twice. The velocity waveform of the displacement due to the earthquake is obtained by the first integration. By the second integration, the displacement waveform due to the earthquake can be obtained from the velocity waveform. The calculation for obtaining the displacement waveform is performed in the frequency domain (or time history domain).

Next, the arithmetic processing unit 21 estimates the building natural frequency in the building 10 from the response acceleration waveform obtained by the wireless accelerometer 12P installed in the first floor 11P on the upper floor (step S13). For this purpose, for example, the vibration frequency at which the response spectrum calculated by cutting out only the time after the maximum amplitude is generated from the response acceleration waveform can be set as the building natural frequency.

Subsequently, the arithmetic processing unit 21 calculates ground motion displacement waveforms from the displacement waveforms of the first layer 11P and the second layer 11Q obtained above (step S14). For this purpose, first, the response magnification is obtained. As the response magnification, the larger one of the displacement response magnification and the acceleration response magnification is adopted. Here, the displacement response magnification is obtained by the above equation (1). The acceleration response magnification is calculated by the above equation (2).
Next, the arithmetic processing unit 21 calculates a ground motion displacement waveform from (displacement waveform)/(response ratio) from the response magnification obtained in this way and the displacement waveform obtained in step S12. At this time, the Fourier transform is performed, the calculation is performed in the frequency domain, and the time history waveform is restored by the inverse transform.

Next, regarding the ground motion displacement waveforms of the first floor 11P and the second floor 11Q calculated in step S14, the maximum value of the ground motion displacement waveform of the second floor 11Q, which is the lower floor, is the first floor that is the upper floor. The ground motion displacement waveform is corrected by being multiplied by a constant so as to match the maximum value of the ground motion displacement waveform of the layer 11P (step S15).
Subsequently, in the arithmetic processing unit 21, the displacement waveforms in the first layer 11P and the second layer 11Q in which the wireless accelerometers 12P and 12Q shown in FIG. 16 are installed, which are obtained in step S12, and in step S15. From the ground displacement waveforms of the first layer 11P and the second layer 11Q corrected by a constant multiple, the wireless accelerometers 12P and 12Q are installed by (displacement waveform)-(ground displacement waveform), respectively. The relative displacement waveform with respect to the ground motion in the layer 11P and the second layer 11Q is calculated (step S16).

After that, in the arithmetic processing unit 21, from the relative displacement waveform with respect to the ground motion in the first floor 11P and the second floor 11Q obtained in step S16 and the installation height of the wireless accelerometers 12P and 12Q in the building 10. , (First value of relative displacement waveform with respect to ground motion)/(installation height), the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 of the building 10 are calculated (step S17). FIG. 17 shows the vibration model of the building 10 and the first interlayer deformation angle with respect to the ground motion on the first floor 11P corresponding to the position of the equivalent height He in the one-mass system vibration model M calculated in this way. θ1 and the second interlayer deformation angle θ2 in the second layer 11Q lower than the first layer 11P are shown.
In the arithmetic processing unit 21, the larger story deformation angle of the calculated first story deformation angle θ1 and the second story deformation angle θ2 is set as the estimated value of the building maximum story deformation angle in this building 10. Yes (step S18).

Next, the structural performance index estimation unit 23B estimates a structural performance index indicating the degree of damage to the building 10 after the earthquake (step S19). This includes the estimated value of the building maximum story deformation angle in the building 10 with respect to the ground motion calculated in step S18, that is, the larger story deformation angle of the first story deformation angle θ1 and the second story deformation angle θ2. And a predetermined threshold value stored in advance in the database 25 are compared. The structural performance index estimation unit 23B uses, for example, a The degree of damage is output as estimated information in multiple stages such as "safety", "necessary inspection", and "danger".

The seismic intensity calculator 22 calculates the seismic intensity at the location of the building 10 (building 10 itself) based on the earthquake information (acceleration) detected by the sensors 13 of the wireless accelerometers 12P and 12Q (step S20). To this end, the acceleration detected by the sensor 13 of each of the wireless accelerometers 12P and 12Q is compared with the range of acceleration of each seismic intensity class to calculate the seismic intensity class at the location of the building 10.
After that, in the display processing unit 24, after performing the processing as shown in steps S12 to S20 on each of the earthquake information received from the wireless accelerometers 12P and 12Q of the plurality of buildings 10, the plurality of buildings 10 are processed. The estimation results (calculation results) of are aggregated (step S21). In the display processing unit 24, for each building 10, the estimation result including the structural performance index of the building 10 estimated in step S19 and the information indicating the seismic intensity in the building 10 calculated in step S20 is totaled, and FIG. Data for displaying the evaluation list 33 as illustrated is generated. The generated estimation result data is transmitted from the monitoring device 20 to the user terminal 30 via the external network 100 (step S22).
In addition, it is preferable to perform the above-described series of processing after determining that the acceleration waveforms observed by the wireless accelerometers 12P and 12Q are the same earthquake event. For example, if the measurement trigger start time difference between the observation waveforms is equal to or less than the threshold value, it is determined that the observation records are due to the same earthquake motion.

(Verification of estimation accuracy by soundness monitoring method)
Here, in order to verify the estimation accuracy in the soundness monitoring system for the building in the second embodiment, various ground motions were input to eight mass point system models assuming 5 to 40 layers as verification of this method. Earthquake response analysis was performed.
FIG. 20: is a figure which shows the equivalent shear mass system model in the building for verification of 5-40 layers in the verification example of the soundness monitoring system of a building. FIG. 21 is a diagram showing the specifications of the building used in the verification example of the building health monitoring system. FIG. 22 is a diagram showing the relationship between the magnitude of seismic waves and the maximum acceleration used for verification of the soundness monitoring system for buildings.
As shown in FIG. 20, there are four vibration models for verification: 5 layers, 10 layers, 20 layers, and 40 layers. In the case of a five-layer vibration model, wireless accelerometers 12P and 12Q are arranged on the fourth and second floors. In the case of the 10-layer vibration model, wireless accelerometers 12P and 12Q are arranged on the 8th and 3rd floors. In the case of the 20-layer vibration model, wireless accelerometers 12P and 12Q are arranged on the 15th and 5th floors. In the case of the 40-layer vibration model, wireless accelerometers 12P and 12Q are arranged on the 29th and 9th floors. The building 10 represented by these vibration models has the specifications as shown in FIG.
Seismic waves as shown in FIG. 22 were input to each of these vibration models. The input seismic waves were randomly selected from 200 records of M5.5 or more and 100 gal or more and used for verification.

FIG. 23 is a diagram showing estimated results of the building natural period in each vibration model for verification.
The estimation result was calculated as a ratio of cases in which the estimated period (=1/estimated frequency) is 90 to 150% of the natural period of the verification vibration model. As shown in FIG. 23, by providing the wireless accelerometer 12P in the upper layer, in 95% or more cases, the natural period of the verification vibration model is 90 to 150%.

Here, for comparison, a case where only the lower layer wireless accelerometer 12Q is provided (method 1), a case where only the upper layer wireless accelerometer 12 is provided (method 2), and the second embodiment As described above, in the case where both the upper layer wireless accelerometer 12P and the lower layer wireless accelerometer 12Q are provided (method 3), the estimated value of the maximum interlayer deformation angle is obtained by the soundness monitoring system. Then, the correlation with the correct value (interlayer deformation angle of the maximum layer obtained by analysis) was obtained.
FIG. 24 is a diagram showing the distribution of the estimation accuracy of the maximum interlayer deformation angle in the case where only the lower layer wireless accelerometer is provided (method 1). FIG. 25 is a diagram showing the distribution of the estimation accuracy of the maximum interlayer deformation angle in the case where only the upper layer radio accelerometer is provided (method 2). FIG. 26 is a diagram showing the distribution of the estimation accuracy of the maximum interlayer deformation angle in the case where the upper layer and the lower layer wireless accelerometers are provided (method 3).
As shown in FIGS. 24 to 26, as compared with the case where only the lower layer wireless accelerometer is provided (method 1) and the case where only the upper layer wireless accelerometer is provided (method 2), the upper layer and the lower layer When the wireless accelerometer was provided in the part (Method 3), the standard deviation σ was small and the estimation accuracy of the maximum interlayer deformation angle was high.
When the wireless accelerometer is provided only in the upper layer (method 2), the maximum interlayer deformation angle may be underestimated. Further, when the wireless accelerometer is provided only in the lower layer (method 1), the estimation of the maximum inter-story deformation angle is not high because the building cycle cannot be accurately estimated. When the wireless accelerometers are provided in the upper layer portion and the lower layer portion (Method 3), the estimation accuracy of the maximum interlayer deformation angle is improved as compared with Method 1 and Method 2.

As shown in FIG. 20, the already-described FIG. 26 shows the maximum interlayer deformation corresponding to the case where the installation height of the radio accelerometer in the lower layer is 0.25 times the floor height H of the building 1. It is the distribution of the angle estimation accuracy. In addition to this, when the installation height of the wireless accelerometer 12Q provided in the lower layer is arranged to be approximately 0.3 times, 0.4 times, and 0.5 times the floor height H of the building 10. For, also, the distribution of the estimation accuracy of the maximum interlayer deformation angle was obtained.
FIG. 27 is a diagram showing a distribution of the estimation accuracy of the maximum interlayer deformation angle when the installation height of the wireless accelerometer in the lower layer is 0.3 times the floor height of the building. FIG. 28 is a diagram showing the distribution of the estimation accuracy of the maximum interlayer deformation angle when the installation height of the wireless accelerometer in the lower layer is 0.4 times the floor height of the building. FIG. 29 is a diagram showing a distribution of the estimation accuracy of the maximum interlayer deformation angle when the installation height of the wireless accelerometer in the lower layer is 0.5 times the floor height of the building.
As shown in FIGS. 27 to 29, when the ratio of the installation height of the wireless accelerometer in the lower layer to the floor height of the building increases, the standard deviation indicating the estimation accuracy of the maximum interlayer deformation angle tends to increase. Was confirmed.
From these results, the installation height of the wireless accelerometer 12Q provided in the lower layer is preferably 0.5 times or less, particularly 0.4 times or less of the floor height H of the building 10.

According to the building soundness monitoring system 1 as described above, the first hierarchy 11P at the position of the equivalent height He in the one-mass system vibration model M simulating the building 10 and the second hierarchy lower than that. Wireless accelerometers 12P and 12Q installed on 11Q to acquire earthquake information, and the first interlayer deformation angle θ1, which is a relative displacement amount to the ground motion at the position of the equivalent height He, using the earthquake information, and The calculation processing unit 21 that calculates the second interlayer deformation angle θ2, the seismic intensity calculation unit 22 that calculates the seismic intensity at the building location based on the earthquake information, the first interlayer deformation angle θ1, and the second interlayer deformation angle with respect to the ground motion. A structural performance index estimation unit 23B that estimates the degree of damage to the building 10 after the earthquake by comparing θ2 with a predetermined threshold, and a display unit 31 that displays the seismic intensity of the building location and the degree of damage to the building 10. Contains.
According to such a configuration, the wireless accelerometers 12P and 12Q allow the first floor 11P corresponding to the position of the equivalent height He in the one-mass system vibration model M simulating the building 10 to be located below the first floor 11P. In the second layer 11Q, the acceleration generated when the earthquake occurs is acquired as the earthquake information. In the arithmetic processing unit 21, using the acquired seismic information, the first layer 11P corresponding to the position of the equivalent height He in the one-mass system vibration model M, and the second layer 11Q lower than that, A first interlayer deformation angle θ1 and a second interlayer deformation angle θ2 with respect to ground motion are calculated. Thus, based on the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 with respect to the ground motion, not on the absolute value of the acceleration generated in the building 10, the structural performance index indicating the damage level of the building 10 after the earthquake. By estimating, the structural performance of the building 10 after the earthquake can be estimated in more detail. By estimating the structural performance index indicating the degree of damage of the building 10 after the earthquake based on the larger interlayer deformation angle of the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 with respect to the ground motion, The structural performance of the building 10 after the earthquake can be estimated in more detail. In particular, when the interlayer deformation angle increases on the lower floors of the building 10, the second interlayer deformation angle θ2 calculated using the seismic information acquired by the wireless accelerometer 12Q provided on the second floor 11Q. Based on, the structural performance index in the lower floor of the building 10 can be estimated. Further, by displaying the estimated structural performance index on the display unit 31, the user who has confirmed the display can grasp the damage level of the building 10, that is, the structural performance in more detail.
Furthermore, the seismic intensity at each building location where the building 10 is built is calculated based on the earthquake information, and the calculated seismic intensity is displayed so that the user who confirms the display is in the area where the building 10 is provided. It is possible to grasp the seismic load input to the building 10 in more detail rather than the overall seismic intensity.
Therefore, it is possible to provide the soundness monitoring system 1 for a building that can estimate the structural performance of the building 10 after the earthquake in detail.

Further, the arithmetic processing unit 21 calculates the displacement waveforms in the first layer 11P and the second layer 11Q, which are calculated based on the earthquake information, and the response magnifications of the first layer 11P and the second layer 11Q. Based on the above, the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 in the first layer 11P and the second layer 11Q are calculated.
According to such a configuration, the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 are calculated using the earthquake information acquired by the wireless accelerometers 12P and 12Q. This makes it possible to calculate the first interlayer deformation angle θ1 and the second interlayer deformation angle θ2 with respect to the ground motion without providing a sensor for detecting acceleration or the like on the ground around the building 10 or the foundation of the building 10. Therefore, it is possible to easily construct and install the soundness monitoring system 1 for the building 10.

(Modification of the embodiment)
Note that the building soundness monitoring system of the present invention is not limited to the above-described embodiment described with reference to the drawings, and various modifications can be considered within the technical scope thereof.
For example, in the above-described embodiment, the wireless accelerometer is installed on the floor slab of the hierarchy at the position of the equivalent height of the building, but it is not limited to the floor slab and can be installed along with the building frame. If

(Other modifications)
Although the wireless accelerometer 12 is used in the above embodiment, a wireless strain gauge 12D may be used instead. When the wireless strain gauge 12D is used, the strain value detected by the wireless strain gauge 12D is converted into acceleration, and the converted acceleration is the same as the acceleration detected by the wireless accelerometer 12 of the above embodiment. deal with.
Other than this, the configurations described in the above embodiments can be selected or changed to other configurations without departing from the gist of the present invention.

1 Health Monitoring System 23, 23B Structural Performance Index Estimator 10 Building 30 User Terminal 11 Hierarchy 31 Display 11S Hierarchy (First Hierarchy) 100 External Network 11P First Hierarchy θ, θ1 First Interlayer Deformation Angle 11Q Second layer θ2 Second interlayer deformation angle 12, 12P, 12Q Wireless accelerometer He Equivalent height 20 Monitoring device M 1 Mass system vibration model 21 Arithmetic processing unit
22 Seismic intensity calculator

Claims (4)

A health monitoring system for buildings, which grasps the health of the building after the earthquake,
A wireless accelerometer or wireless strain gauge installed in the first layer corresponding to the position of the equivalent height in the one-mass system vibration model simulating the building to acquire seismic information;
An arithmetic processing unit that uses the earthquake information to calculate a first interlayer deformation angle that is a relative displacement amount with respect to ground motion in the first layer;
A seismic intensity calculator that calculates the seismic intensity of the building location based on the earthquake information;
A structural performance index estimation unit that estimates the damage level of the building after the earthquake by comparing the first interlayer deformation angle with respect to the ground motion and a predetermined threshold value;
A health monitoring system for a building, comprising: a display unit that displays the seismic intensity of the building location and the damage level of the building. A health monitoring system for buildings, which grasps the health of the building after the earthquake,
Seismic information is acquired by being installed in each of a first layer corresponding to a position of an equivalent height in a one-mass system vibration model simulating the building and a second layer below the first layer, Wireless accelerometer or wireless strain gauge,
A calculation processing unit that calculates a first interlayer deformation angle, which is a relative displacement amount with respect to ground motion in the first layer and the second layer, and a second layer deformation angle using the earthquake information;
A seismic intensity calculator that calculates the seismic intensity of the building location based on the earthquake information;
A structural performance index estimation unit that estimates a damage level of a building after an earthquake by comparing a larger interlayer deformation angle of the first interlayer deformation angle and the second interlayer deformation angle with a predetermined threshold value. When,
A health monitoring system for a building, comprising: a display unit that displays the seismic intensity of the building location and the damage level of the building. The arithmetic processing unit,
Calculating the first interlayer deformation angle in the first layer based on the displacement waveform in the first layer and the response magnification of the first layer,
In the case where the wireless accelerometer or the wireless strain gauge is also provided in the second layer, further based on the displacement waveform in the second layer and the response magnification of the second layer. The health monitoring system for a building according to claim 1 or 2, wherein the second interlayer deformation angle in the second layer is calculated. The health monitoring system for a building according to any one of claims 1 to 3, wherein the arithmetic processing unit calculates interlayer deformation angles of the plurality of layers including at least the first layer.