JP3909840B2 - Building loss assessment program - Google Patents

Description

[0001]
BACKGROUND OF THE INVENTION
  The present invention is a loss assessment of buildings against earthquakes.PriceProgram.
[0002]
[Prior art]
In order to evaluate the asset value and risk of buildings, it is required to predict and evaluate building damage in the event of an earthquake.
Conventionally, a technique for calculating an earthquake risk at an arbitrary point (Patent Document 1) and a technique for predicting and evaluating building damage caused by an earthquake (Patent Document 2) have been proposed. The asset value and risk assessment of the
[0003]
[Patent Document 1]
JP 2002-148348 A
[Patent Document 2]
JP 2001-306812 A
[0004]
[Problems to be solved by the invention]
  However, in order to predict and evaluate earthquake risk and building damage using these conventional technologies, it is necessary to have extensive expertise in earthquakes, ground and architecture in general. It is difficult to predict and evaluate
  In addition, in order to perform loss assessment, a huge amount of information must be taken into account when predicting the probability of earthquake occurrence nationwide and assuming the correlation between buildings and damage rates.
  In addition, it is possible to predict the risk level with higher accuracy by conducting detailed surveys of the building and the ground on which the building is predicted and evaluated for earthquake risk and building damage. There is an inconvenience that it takes time and labor and increases costs.
  In addition, it is difficult to improve the accuracy of information such as the strength of buildings and the probability of occurrence of earthquakes, and it is not always possible to obtain accurate information commensurate with cost even if a great deal of effort is required.
  The present invention has been made in view of such circumstances, and its purpose is to perform loss assessment with high accuracy without requiring specialized knowledge in evaluating the loss of a building against an earthquake, Building loss assessment that is advantageous in reducing costs and laborPriceTo provide a program.
[0005]
[Means for Solving the Problems]
  In order to achieve the above object, the present invention is a loss evaluation program for evaluating a loss received by a building when an earthquake occurs, and position information indicating a position where the building to be evaluated for loss is located And an input step for inputting information relating to the building, geographical information including physical properties of the ground, earthquake risk information indicating the probability of occurrence of an earthquake, and risk of occurrence of liquefaction when an earthquake occurs From the database means for storing each of the liquefaction risk information in association with the position information, the geographic information, the earthquake risk information, and the liquefaction risk information are read based on the position information input in the input step. Loss information indicating the loss of the building based on the geographical information, earthquake risk information, liquefaction risk information, and the specific information input in the input step. And loss information generating step of generating, to execute an output step of outputting the loss information generated by the loss information generating step to the computerThe loss information generation step includes a hazard curve generation step for obtaining a hazard curve based on the geographical information, earthquake risk information and position information, and the loss information generation step further includes the hazard curve Based on a predetermined reproduction period earthquake intensity generation step for obtaining an earthquake intensity in a predetermined reproduction period based on the specific information and the earthquake intensity in the predetermined reproduction period, the damage rate of the structure of the building is determined in a plurality of stages. A structural damage rate generation step for each damage category, a structural damage rate curve generation step for determining a damage rate curve for each structural damage rate in each damage category, and an equipment damage rate curve based on each structural damage rate curve And a finishing damage rate curve generation step for obtaining a finishing damage rate curve, each structural damage rate curve, and the liquefaction risk A basic damage rate curve generation step for obtaining a basic damage rate curve based on the information; and the damage classification based on the damage rate curves of the structure, equipment, finish, and foundation and the earthquake intensity during the predetermined reproduction period. A damage rate generation step for each damage category for each damage rate, and a plurality of events composed of combinations of the damage rates of the structure, equipment, finish, and foundation based on the event tree method, and the damage rate generation step An event occurrence probability generation step for determining an occurrence probability of each event based on each generated damage rate, and a loss rate generation step for determining a loss rate in each event based on the cost ratio of the structure, equipment, finish, and foundation And a value obtained by multiplying the event occurrence probability by the event loss rate for all events is defined as an expected loss rate NEL. The NEL generation step to be obtained and the earthquake loss by obtaining the loss rate which is a value obtained by adding the event occurrence probability and the loss rate of the event to the total event, while changing the intensity of the earthquake over a predetermined range. Assuming an earthquake loss curve generation step for obtaining a curve and that the loss rate is distributed with a certain probability, a loss rate satisfying the expected loss rate with 90% reliability is obtained as the predicted maximum loss rate PML. And a PML generation step.
[0006]
DETAILED DESCRIPTION OF THE INVENTION
  Next, the loss assessment of the building of the present inventionPriceThe program will be described with reference to the drawings.
  Figure 1 shows the loss assessment of the building of the present inventionLoss assessment to run the programFunctional block diagram showing an embodiment of the system, FIG.JianIt is a block diagram which shows the structure of the computer which comprises the structure loss evaluation system.
[0007]
  As shown in FIG.JianThe building loss evaluation system 10 includes a computer 12.
  The computer 12 includes a CPU 1202, a keyboard 1204, a mouse 1206, a display 1208, a printer 1210, a ROM 1212, a RAM 1214, a hard disk drive device 1216, a CD-ROM drive device 1218, and the like.
  The keyboard 1204 and mouse 1206 are used to input operation signals to the CPU 1202.
  The display 1208 displays and outputs characters and images based on the control of the CPU 1202.
  The printer 1210 prints characters and images on paper based on the control of the CPU 1202 and outputs them.
  The ROM 1212 stores information necessary for the operation of the CPU 1202.
  The RAM 1214 provides a working area necessary for the operation of the CPU 1202.
  The hard disk drive device 1216 is installed with the building loss evaluation program of the present invention executed by the CPU 1202, the data necessary for executing the loss evaluation program, and the data generated along with the execution of the loss evaluation program Is stored.
  The CD-ROM drive device 1218 reads data and programs from a CD-ROM as a recording medium. For example, the hard disk drive reads the loss evaluation program from a CD-ROM 1220 on which the loss evaluation program is recorded. It is configured to be installed on device 1216.
[0008]
As shown in FIG. 1, the building loss evaluation system 10 functionally includes an input unit 20, a database unit 22, a loss information generation unit 24, an output unit 26, and the like.
The input means 20 inputs position information indicating a position where a building to be evaluated for loss is located and unique information related to the building. In the present embodiment, the input unit 20 includes the keyboard 1204 and the mouse 1206.
The database means 22 includes a geographic information database 2202, an earthquake risk information database 2204, a liquefaction risk information database 2206, and a related information database 2208. In the present embodiment, the database means 22 is constituted by the CPU 1202 and the hard disk drive device 1216.
[0009]
The geographic information database 2202 stores location information obtained by dividing the entire country of Japan in units of wards, municipalities, and geographic information in association with each other. The geographical information includes the altitude and the physical properties of the ground (the propagation speed of the seismic wave).
The earthquake risk information database 2204 stores location information obtained by dividing the entire country of Japan in units of municipalities and earthquake risk information in association with each other. The earthquake risk information indicates an earthquake occurrence probability.
More specifically, the earthquake risk information stored in the earthquake risk information database 2204 is obtained by associating position information with information indicating the occurrence probability of an earthquake in a tabular format as shown in FIG. It is.
The information indicating the probability of occurrence of an earthquake in FIG. 4 is created based on at least one of information on historical earthquakes and active fault positions that occurred in the past, and the data adoption period is, for example, the latest 100 years, 400 years, or 1317. Different periods such as years are set. Historical earthquake information is more accurate as it is closer to the present day when observation methods are in place.
FIG. 4 shows the Frechet distribution numerical value Rv corresponding to the reproduction period of 50 years, 100 years, 500 years, and 1000 years as V₀The value multiplied by is shown.
The numerical value Rv of the Frechet distribution is defined as follows.
V = Gv ・ Rv ・ V₀          (1)
V: Maximum ground motion speed, Gv: Correction coefficient according to the ground type,
Rv: Frechet distribution value
Rv = (r / 100)^k          (2)
k = 0.54
Where r: number of years, k: coefficient
V₀= 2 ・ V_k100                (3)
V_k100= 1.5V_k              (4)
However, V_k: Expected 100-year reproduction (the largest earthquake that occurs in 100 years)
The liquefaction risk information database 2206 stores location information obtained by dividing the entire country of Japan in units of wards, municipalities, and liquefaction risk information in association with each other. The liquefaction risk information indicates the risk of liquefaction occurring at the time of an earthquake. For example, the liquefaction risk is 1 to 3 based on a risk map published by a public organization or a ground survey. 4 is ranked in 4 stages.
[0010]
  The related information database 2208Stores the related information referred to in order to understand various information output by the output means 26.
  More specifically, the related information includes loss information output by the output means 26, for example, a glossary of terms for NEL, PML, an earthquake loss curve, and a hazard curve, which will be described later, and a description of criteria.
[0011]
  The loss information generating means 24 reads the geographical information, earthquake risk information, and liquefaction risk information from the database means 22 based on the position information input from the input means 20, and these geographical information and earthquake Loss information indicating the loss of the building is generated based on the risk information, the liquefaction risk information, and the unique information input from the input means 20. Further, the loss information generating means 24 is connected to the related information database 220.8The related information is read out from. In the present embodiment, the loss information generating means 24 is constituted by the CPU 1202.
  The output unit 26 includes the loss information generated by the loss information generation unit 24 and the related information database 220.8The related information read from is output. In the present embodiment, the output unit 26 includes the display 1208 and a printer 1210.
[0012]
The operation of the building loss evaluation system 10 configured as described above will be described with reference to the flowchart of FIG.
First, the position information of the position where the building whose loss is to be evaluated and the unique information related to the building are input from the input means 22 (step S10).
At this time, an input screen as shown in FIG. 5 is displayed on the display 1208.
That is, the position information is input by selecting an address indicated by a list (list). The address is displayed in units of prefectures and municipalities.
For the specific information, select each of building use, structure type, design year, number of floors, presence of piloties, seismic force surcharge rate, construction cost ratio indicated by the list (list), or specify a numerical value directly. (Step S12).
As the architectural use, one of a house, an office, a factory, and a commercial building is selected and input.
As the structure type, one of reinforced concrete, steel frame, steel reinforced concrete, and wooden is selected and input.
In the design year, the designed age is input in the Christian era.
As the number of building floors, the number of ground floors is input as a numerical value.
The presence or absence of the piloty is input by selecting the presence or absence. In addition, the piloti is a structure in which the first floor portion of the building is composed of only pillars so that it can be freely passed through.
The seismic force surplus rate is entered as a numerical value when the seismic force is surplus according to the building conditions. For example, when a building is added, it can be calculated as “seismic force surplus rate” = “floor area after building / floor area at the time of design”.
As the construction cost ratio, the ratios of the structure cost, the equipment cost, the finishing cost, and the foundation cost to the total construction cost of the building are input as numerical values. In addition, when the said construction cost ratio is unknown, the general cost ratio determined by the said building use is set automatically (step S14).
[0013]
Next, based on the position information input in the step S10, the geographic information is read from the geographic information database 2202, and the earthquake risk information is read from the earthquake risk information database 2204. Then, the hazard curve shown in FIG. 6 is obtained based on the geographical information, the earthquake risk information, and the position information input in step S10 (step S16: hazard curve generation step). The hazard curve is a curve showing the relationship between the strength of an earthquake (ground surface maximum acceleration PGA (Gal)) and the probability of occurrence of an earthquake (annual excess probability).
The intensity of the earthquake can be indicated by the maximum velocity or the seismic intensity, but in the present embodiment, it is indicated by the maximum acceleration on the ground surface.
The annual excess probability is the probability that an earthquake of a certain intensity or more will occur in one year.
For example, if the annual excess probability of an earthquake of 200 (Gal) is 0.01, it means that an earthquake of 200 (Gal) or more occurs with a probability of 1% in one year, and 200 (Gal) ) The above earthquake recurrence period is 100 years.
Then, based on the hazard curve obtained in step S16, the intensity of the earthquake with a recurrence period of 475, that is, the maximum earthquake that may occur with a period of 475 years is obtained (step S18: seismic intensity generation step with a predetermined recurrence period) ). The intensity of the earthquake with a recurrence period of 475 is a numerical value necessary for calculating the expected maximum loss rate PML as loss information finally obtained by the loss evaluation system 10. The expected maximum loss rate PML will be described in detail later.
[0014]
Next, based on the unique information input in step S10, that is, the building usage, the structure type, the design year, the number of building floors, and the presence or absence of the piloti, the reference is used when calculating the damage curve of the structure from the table as shown in FIG. Find the damage rate.
In general, the damage rate refers to the probability of occurrence of damage corresponding to each of the damage categories divided into a plurality of stages according to the degree of damage. For example, if the damage rate of “no damage (damage classification) is 80%”, it indicates that the building is not damaged at the probability of 80% at the time of the earthquake.
In the present embodiment, the damage rate of the structure is the probability that the damage corresponding to each of the damage categories of no damage, minor damage, medium damage, and major damage will occur when an earthquake occurs.
Then, the structural damage rate obtained in this way is made to correspond to the ground surface maximum acceleration PGA (Gal), and as shown in FIG. 8, the structural damage rate curves of small damage, medium damage, and large damage are obtained (steps). S20: Structural damage rate generation step).
Next, when the seismic force surplus rate is input in step S10 (Yes in step S22 ("Y")), the structural damage rate curve obtained in step S20 is corrected (step S24).
More specifically, the seismic force applied to the building is proportional to the floor area of the building. Therefore, assuming that a certain seismic force is applied to the building, if the area (floor area) of the building is a times, the seismic force applied to the building is a times. That is, when the area of the building becomes a times, a value obtained by multiplying the seismic force by the seismic force surplus rate a is added to the building.
That is, as shown in FIG. 9, the reference passing point P1 in the damage rate curve before correction (corresponding to the damage rate used as a reference when obtaining the damage curve of the structure obtained from the table shown in FIG. 7 earlier). When the corresponding seismic force is Q1, if the seismic force surplus rate is a, the seismic force Q2 corresponding to the same damage rate as the passing point P1 is represented by Q1 / a. And the said damage rate curve should just be corrected so that this seismic force Q2 may be passed.
If negative ("N") is determined in step S22, or if correction is made in step S24, based on the structural damage rate curves of small breakage, medium breakage, and large breakage obtained in step S20. In addition to determining the damage rate curve for facilities that fall in the category of damage greater than or equal to the damage to the maximum acceleration PGA (Gal) on the ground surface, the damage rate for finishes that fall in the category of damage beyond the level of damage is calculated. A wrecked finish damage rate curve corresponding to the maximum acceleration PGA (Gal) is obtained (step S26: facility and finish damage rate curve generation step).
Then, based on the structural damage rate curves of the small breakage, medium breakage, and large breakage obtained in step S20 and the liquefaction risk level information read from the liquefaction risk level database 2206, the damage level is greater than or equal to that of the large breakage. A wrecked basic damage rate curve in which the damage rate of the foundation corresponding to the damage category is associated with the ground surface maximum acceleration PGA (Gal) is obtained (step S28: basic damage rate curve generation step).
[0015]
Next, based on the damage rate curves obtained in steps S20, S22, S24, S26, and S28 and the intensity of the earthquake with the reproduction period of 475 obtained in step S18, the damage rate in each damage category is obtained. (Step S30: Damage rate generation step by damage category).
In other words, each of the small damage structure damage ratio curve, medium damage structure damage ratio curve, large damage structure damage ratio curve, large damage equipment damage ratio curve, large damage finishing damage ratio curve, and large damage basic damage ratio curve, and the maximum earthquake strength. Based on this, the damage rate in each damage category is obtained.
[0016]
Next, the combination of the damage rate of each structure, equipment, finish, and foundation obtained in step S30 is made. For example, a combination such as “structural breakage + no equipment damage + finishing big damage + no foundation damage” is made. Each of these combinations is called an event.
Then, the occurrence probability of each event is obtained based on each damage rate obtained in step S30 (step S32: event occurrence probability generation step). Such a method is called an event tree method.
Specifically, as shown in FIG. 10, the occurrence probability of each event is obtained by combining the damage category and damage rate of foundation, frame (corresponding to structure), equipment, and finishing.
Next, a loss rate in each event is obtained based on the structure, equipment, finish, and basic cost ratios input in steps S12 and S14 (step S32: loss rate generation step). The loss rate is the ratio of the expected damage amount in each event to the replacement cost (total construction cost and reconstruction cost).
Then, a value obtained by multiplying a value obtained by multiplying the event occurrence probability by the event loss rate for all events is obtained. This value is called NEL (Normal Expected Loss) corresponding to the intensity of the earthquake with a recurrence period of 475 in the hazard curve.
Furthermore, the earthquake loss curve is obtained. As shown in FIG. 11, the earthquake loss curve is obtained by changing the intensity of the earthquake (horizontal axis) over a predetermined range and multiplying the value of the event occurrence probability by the event loss rate for all events. It is obtained by calculating the loss rate (vertical axis) as a value.
Further, since the NEL is an expected value and there is a possibility that the actual damage amount exceeds this value, PML (Probable Maximum Loss) is calculated.
As shown in FIG. 12, when the PML is assumed to be distributed with a certain probability, the expected loss rate is 90% reliable (corresponding to 90% of the area in FIG. 12). It is defined as the value of the satisfactory loss rate (90% non-exceeding value). Note that, as shown in FIG. 12, the average value of the expected loss rates corresponds to the NEL.
NEL, PML, and an earthquake loss curve are determined as described above (step S34: NEL generation step, earthquake loss curve generation step, PML generation step).
[0017]
Then, in addition to the NEL, PML, and earthquake loss curves determined in step S34, the hazard curve determined in step S16 is displayed and output on the display 1208 as shown in FIG. 13 (step S36). In FIG. 13, the hazard curve is displayed on another screen by clicking the display button B1.
Then, it is determined whether or not there is a need for explanation of terms and judgment criteria for the NEL, PML, earthquake loss curve, and hazard curve displayed in step S36 (step S38). In this embodiment, whether or not there is a need for explanation of terms and judgment criteria is determined by whether or not the explanation button B2 displayed in FIG. 13 is clicked.
If it is determined in step S38 that it is necessary, the term explanation and judgment criterion explanation are read from the related information database 2208 and displayed on the display 1208 as shown in FIG. 14 (step S40). A series of operations are terminated. FIG. 14 shows an example of a judgment criterion corresponding to the PML value.
In the present embodiment, the step S10 constitutes a claim input step, and the steps S16, S18, S20, S22, S24, S26, S28, S30, S32, and S34 The loss information generation step is configured, and the output step of the claims is configured by the steps S36 and S40.
[0018]
Next, two evaluation examples by the loss evaluation system 10 will be described.
1) Evaluation example 1
FIG. 15A is an input screen for position information and unique information, and FIG. 15B is an output screen for evaluation results.
The use of the building is a house, the structure type is S (reinforced), the design year is 1984, the building has 10 floors, no piloti, and the seismic force surplus rate is 1.000.
In this case, since the design age is new and there are no particularly disadvantageous elements, NEL is as small as 4.50%, PML is as small as 9.19%, and the seismic loss curve is suppressed to a low value.
2) Evaluation example 2
FIG. 16A is an input screen for position information and unique information, and FIG. 16B is an output screen for evaluation results.
The use of the building is office, the structure type is RC (reinforced concrete), the design year is 1975, the building has 7 floors, there is a piloti, and the seismic force surplus rate is 1.105.
In this case, since the building is not considered in the design, the increased floor area is considered as the seismic force surplus rate. Moreover, since the design age is old and there is a piloty, it can be seen that NEL is large at 30.60%, PML is large at 34.40%, and the earthquake loss curve is also high.
[0019]
As described above in detail, according to the present embodiment, the position information indicating the position where the building to be evaluated for loss is located and the unique information related to the building are input, and the physical properties of the ground are determined. The database means for storing the geographic information, the earthquake risk information indicating the probability of occurrence of an earthquake, and the liquefaction risk information indicating the risk of occurrence of liquefaction at the occurrence of an earthquake in association with the position information, from the input The geographical information, the seismic risk information, and the liquefaction risk information are read based on the position information, and the geographical information, the seismic risk information, the liquefaction risk information, and the input specific information are read. Based on this, loss information indicating the loss of the building is generated, and the generated loss information is output.
Therefore, since it is possible to obtain loss information simply by inputting the position information and unique information, it is possible to perform loss assessment with high accuracy without requiring specialized knowledge in evaluating the loss of a building against an earthquake. it can.
Further, since it is not necessary to investigate the building and the ground on which the building is built in evaluating the loss of the building against the earthquake as compared with the conventional case, it is advantageous in reducing cost and labor.
[0020]
In the present embodiment, the damage categories of the structure are four categories of no damage, minor damage, medium damage, and major damage, and the damage categories of the equipment, finish, and foundation are two categories of no damage and major damage. It is arbitrary how to set the stage of damage classification.
Further, in the present embodiment, the unique information is required when the seismic force is increased depending on the building use, structure type, design year, number of building floors, presence of piloties, and building conditions of the building. It was described as a construction cost ratio indicating the ratio of the seismic force surplus rate, the cost of structure, the cost of equipment, the cost of finishing, the cost of foundations to the total construction cost of the building. However, some of these pieces of information may be selected and used as the unique information.
In the present embodiment, the loss information is indicated by an expected loss rate NEL, an expected maximum loss rate PML, an earthquake loss curve, and a hazard curve, but some of these are selected as the loss information. May be used.
In this embodiment, the loss information is displayed on the display 1208, but the loss information may be printed out by the printer 1210.
Further, in this embodiment, the loss evaluation system 10 is configured by the computer 12. However, the present invention is not limited to this, and a loss evaluation system can be constructed by a server and a client connected via a network.
In this case, the database means and loss information generating means may be configured by the server, and the input means and output means may be configured by the client.
[0021]
【The invention's effect】
As described above, according to the present invention, it is possible to perform loss assessment with high accuracy without requiring specialized knowledge in evaluating the loss of a building against an earthquake, and to reduce costs and labor.
[Brief description of the drawings]
FIG. 1 Building loss assessment of the present inventionLoss assessment to run the programIt is a functional block diagram which shows embodiment of a system.
[Figure 2]JianIt is a block diagram which shows the structure of the computer which comprises the structure loss evaluation system.
[Fig. 3]JianIt is a flowchart which shows operation | movement of the structure loss evaluation system.
FIG. 4 is an explanatory diagram of information stored in an earthquake risk information database.
FIG. 5 is an explanatory diagram of an input screen.
FIG. 6 is an explanatory diagram of a hazard curve.
FIG. 7 is an explanatory diagram showing a damage rate of a structure for each damage category.
FIG. 8 is a structural damage rate curve.
FIG. 9 is an explanatory diagram illustrating correction of a damage rate curve.
FIG. 10 is an explanatory diagram showing a relationship between a combination of events, a loss rate, and an occurrence probability.
FIG. 11 is an explanatory diagram of an earthquake loss curve.
FIG. 12 is an explanatory diagram of PML.
FIG. 13 is an explanatory diagram showing an output screen.
FIG. 14 is an explanatory diagram showing an example of determination criteria.
15A is an input screen for position information and unique information in Evaluation Example 1, and FIG. 15B is an output screen for evaluation results.
16A is an input screen for position information and unique information in Evaluation Example 2, and FIG. 16B is an output screen for evaluation results.
[Explanation of symbols]
  10 Building loss assessment system
  12 Computer
  20 Input means
  22 Database means
  2202 Geographic Information Database
  2204 Earthquake Risk Information Database
  2206 Liquefaction risk information database
  2208 Related Information Database
  24 Loss information generation means
  26 Output means

Claims (5)

A loss assessment program for assessing the loss experienced by buildings when an earthquake occurs,
An input step for inputting position information indicating a position where the building to be evaluated for loss is located and unique information related to the building;
Geographic information including the physical properties of the ground, earthquake risk information indicating the probability of occurrence of an earthquake, and liquefaction risk information indicating the risk of liquefaction occurring when an earthquake occurs are stored in association with the position information. From the database means, the geographical information, the earthquake risk information, and the liquefaction risk information are read out based on the position information input in the input step, and the geographical information, the earthquake risk information, and the liquefaction risk information, Loss information generation step for generating loss information indicating the loss of the building based on the unique information input by the input step;
An output step of outputting the loss information generated in the loss information generation step;
To run on a computer ,
The loss information generation step includes a hazard curve generation step for obtaining a hazard curve based on the geographical information, earthquake risk information and position information,
The loss information generation step includes:
Furthermore, a predetermined reproduction period earthquake intensity generation step for obtaining the intensity of the earthquake during the predetermined reproduction period based on the hazard curve,
A structural damage rate generation step for determining a damage rate of the structure of the building for each of a plurality of damage categories based on the specific information and the intensity of the earthquake during the predetermined reproduction period;
A structural damage rate curve generation step for obtaining a damage rate curve of each structural damage rate in each of the damage categories;
A facility and finishing damage rate curve generation step for obtaining an equipment damage rate curve and a finishing damage rate curve based on each structural damage rate curve;
A basic damage rate curve generation step for obtaining a basic damage rate curve based on each structural damage rate curve and the liquefaction risk information,
Based on the damage rate curves of the structure, equipment, finish, and foundation and the intensity of the earthquake during the predetermined reproduction period, a damage rate generation step for each damage category for determining a damage rate for each damage category,
Based on the event tree method, create a plurality of events composed of combinations of the damage rates of the structure, equipment, finish, and foundation, and determine the probability of occurrence of each event based on the damage rates generated in the damage rate generation step. A desired event occurrence probability generation step;
A loss rate generation step for determining a loss rate in each event based on the cost ratio of the structure, equipment, finish, and foundation,
A NEL generation step of obtaining a value obtained by multiplying a value obtained by multiplying the occurrence probability of the event and the loss rate of the event for all events as an expected loss rate NEL;
An earthquake loss curve for obtaining an earthquake loss curve by changing the intensity of an earthquake over a predetermined range and obtaining a loss rate that is a value obtained by adding the event occurrence probability and the loss rate of the event for all events. And a PML generation step of obtaining a loss rate satisfying the expected loss rate with 90% reliability as an expected maximum loss rate PML, assuming that the loss rate is distributed with a certain probability. ,
Loss assessment program characterized by that. The unique information includes the building usage, structure type, design year, number of building floors, presence of piloti, presence of piloti, seismic force surplus rate necessary for extra seismic force depending on the building conditions, the building to the total construction cost of the cost of construction, cost of equipment, loss evaluation of buildings according to claim 1, characterized in that it comprises one of the construction cost ratios shown cost of finishing, the respective proportion of the cost of the foundation program.   3. The building loss evaluation program according to claim 2, wherein the earthquake risk information is created based on at least one of a historical earthquake and an active fault position that occurred in the past. The lost information, the expected loss rate NEL, the expected maximum loss PML, seismic loss curve, loss evaluation program according to claim 1 building wherein the comprising any of the hazard curves. The database means includes a related information database for storing related information useful for understanding the loss information, and the related information read from the related information database when the loss information is output by the output means. There loss evaluation program according to claim 1 building, wherein the output from said output means together with said loss information.

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