CN113011066A - Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method - Google Patents
Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method Download PDFInfo
- Publication number
- CN113011066A CN113011066A CN202110295576.5A CN202110295576A CN113011066A CN 113011066 A CN113011066 A CN 113011066A CN 202110295576 A CN202110295576 A CN 202110295576A CN 113011066 A CN113011066 A CN 113011066A
- Authority
- CN
- China
- Prior art keywords
- frame structure
- tsunami
- earthquake
- economic loss
- disaster
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 39
- 238000006243 chemical reaction Methods 0.000 claims abstract description 29
- 238000000034 method Methods 0.000 claims abstract description 19
- 230000033001 locomotion Effects 0.000 claims abstract description 10
- 230000000694 effects Effects 0.000 claims abstract description 8
- 230000003068 static effect Effects 0.000 claims abstract description 7
- 238000004364 calculation method Methods 0.000 claims description 32
- 239000010410 layer Substances 0.000 claims description 21
- 230000001133 acceleration Effects 0.000 claims description 18
- 238000006073 displacement reaction Methods 0.000 claims description 11
- 239000011229 interlayer Substances 0.000 claims description 10
- 238000000418 atomic force spectrum Methods 0.000 claims description 4
- 239000012530 fluid Substances 0.000 claims description 4
- 238000000342 Monte Carlo simulation Methods 0.000 claims description 3
- 230000005484 gravity Effects 0.000 claims description 3
- 238000010008 shearing Methods 0.000 claims description 3
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 3
- 238000011160 research Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 230000010355 oscillation Effects 0.000 description 3
- 230000002265 prevention Effects 0.000 description 3
- 238000005314 correlation function Methods 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 230000009916 joint effect Effects 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/10—Numerical modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/02—Reliability analysis or reliability optimisation; Failure analysis, e.g. worst case scenario performance, failure mode and effects analysis [FMEA]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/14—Force analysis or force optimisation, e.g. static or dynamic forces
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Human Resources & Organizations (AREA)
- Geometry (AREA)
- Development Economics (AREA)
- Computer Hardware Design (AREA)
- Tourism & Hospitality (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- General Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Evolutionary Computation (AREA)
- Mathematical Optimization (AREA)
- Quality & Reliability (AREA)
- Computational Mathematics (AREA)
- Game Theory and Decision Science (AREA)
- Structural Engineering (AREA)
- Architecture (AREA)
- Operations Research (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Civil Engineering (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
A quick evaluation method for economic loss of an RC frame structure for evaluating the multi-disaster toughness aims to solve the problem that the existing method for quickly evaluating the economic loss of the RC frame structure under the action of earthquake-tsunami multi-disaster is lacked. The economic loss evaluation method comprises the following steps: firstly, establishing a finite element model of a multilayer RC frame structure; secondly, carrying out power time course analysis on the RC frame structure; thirdly, conducting Pushover analysis on the RC frame structure under the action of tsunami force; fourthly, analyzing a collapse vulnerability curve of the RC frame structure under the action of earthquake-tsunami and engineering requirement parameters of the RC frame structure; fifthly, establishing a performance model of the RC frame structure building; sixthly, determining a structure potential collapse mode, and calculating a tsunami strength conversion coefficient; and seventhly, carrying out economic loss evaluation on the structure under the action of the earthquake and tsunami. The method utilizes dynamic time-course analysis to simulate earthquake motion effect and nonlinear static force pushing to simulate tsunami effect, thereby evaluating the economic loss of the structure.
Description
Technical Field
The invention belongs to the technical field of economic loss evaluation under the joint action of various disasters, and particularly relates to a rapid evaluation method for the economic loss of an RC frame structure for multi-disaster toughness evaluation.
Background
Natural disasters occur frequently nowadays, and continuous actions of various disasters sometimes occur. Particularly, after a severe earthquake action is applied to coastal areas, tsunami action induced by the earthquake action may be applied again (indian ocean earthquake in 2004, chile earthquake in 2010, and severe tsunami action induced after tokyo earthquake in 2011), and the continuous action of multiple disasters often causes huge economic loss and casualties to cities, so that it is necessary to provide a simple and feasible rapid evaluation method for the economic loss of the RC frame structure for evaluating the toughness of the multiple disasters.
At present, foreign scholars have conducted some researches on frame structure response analysis under the action of earthquake-tsunami disasters, the researches on the earthquake-tsunami combined action in China are relatively late, only a few scholars conduct structure dynamic response analysis under the action of earthquake-tsunami on bridge structures, but the foreign scholars do not conduct researches on an economic loss evaluation method of RC frame structures under the action of earthquake-tsunami disasters. In view of the fact that a large number of RC frame structures exist in the coastal city, and the continuous action of earthquake and tsunami with multiple disasters can cause huge damage, it is necessary to research the economic loss evaluation of the RC frame structures under the continuous action of earthquake and tsunami with multiple disasters, and an effective basis can be provided for the structural performance and economic loss of the RC frame structures in the coastal region after the RC frame structures are subjected to the continuous action of two disasters, so that reference is provided for the design theory of the RC frame structures in the coastal region, and the economic loss caused by the continuous disaster of earthquake and tsunami is reduced.
Disclosure of Invention
The invention aims to solve the problem that the existing RC frame structure economic loss evaluation method facing multi-disaster toughness evaluation is lacked, and provides a RC frame structure economic loss rapid evaluation method facing multi-disaster toughness evaluation.
The quick evaluation method for the economic loss of the RC frame structure for multi-disaster toughness evaluation is realized according to the following steps:
firstly, establishing a finite element (calculation) model of a multilayer RC frame structure, and selecting earthquake motion of an earthquake-tsunami event to establish an earthquake motion analysis sample library;
secondly, performing dynamic time-course analysis on the RC frame structure, adding a time-course curve with the acceleration of 0g behind the acceleration time-course curve of the earthquake to simulate the process of free vibration after the earthquake action, and ensuring that the RC frame structure is static when the tsunami acts;
performing Pushover analysis on the RC frame structure under the action of tsunami force to obtain a pushing curve of base shearing force-top displacement, wherein the reaction at the intersection point of the pushing curve and the tsunami demand force curve is the real reaction of the RC frame structure under the continuous action of earthquake and tsunami;
wherein the tsunami demand force FTThe calculation formula of (a) is as follows:
in the formula, CDDenotes the kinetic coefficient, ρ denotes the tsunami fluid density, u denotes the tsunami flow velocity, g denotes the gravitational acceleration, h denotes the tsunami submergence depth, λ denotes the tsunami guiding coefficient, FrcRepresenting the Froude number threshold, Fr the Froude number
b represents the width of the calculation unit under the action of the tsunami force;
fourthly, repeating the second step and the third step to calculate all the earth vibrations of the earthquake vibration analysis sample library, further obtaining the real reaction of the RC frame structure under the continuous action of each earthquake-tsunami, analyzing a collapse vulnerability curve of the RC frame structure under the action of the earthquake-tsunami and engineering requirement parameters of the RC frame structure, wherein the collapse vulnerability curve refers to a structural vulnerability curve taking the tsunami flow velocity as a parameter variable when the RC frame structure reaches the LS3 limit state, and the engineering requirement parameters comprise the maximum interlayer displacement angle of each layer and the interlayer peak acceleration of each layer;
establishing a performance model of the RC frame structure building, wherein the performance model comprises building information, a population model related to the building and a performance group of building components;
sixthly, determining a (potential) collapse mode of the RC frame structure, and calculating a conversion coefficient of the tsunami strength;
the calculation formula of the tsunami strength conversion coefficient is as follows:
Ti＝FT/Q；
in the formula, TiRepresenting the conversion factor of tsunami intensity, FTThe tsunami lateral force is represented, and Q represents the gravity load of the structure;
seventhly, carrying out economic loss evaluation on the structure under the action of the earthquake and the tsunami by using the calculation result of the step four:
s71, judging whether the RC frame structure building collapses or not through a collapse vulnerability curve and an RC frame structure (potential) collapse mode;
s72, when the RC frame structure building is judged to collapse, the repairing cost and repairing time of the RC frame structure are the cost and time for reconstructing the structure, and the step S73 is skipped after the calculation is finished;
s73, when the RC frame structure building is judged not to collapse, calculating economic loss by combining a result function and a component vulnerability curve in the performance group of the building component in the fifth step and a tsunami strength conversion coefficient in the sixth step with engineering demand parameters;
and S74, repeating the steps S71-S73, and carrying out log normal distribution fitting on the obtained sample data to obtain an economic loss result of the RC frame structure after the earthquake-tsunami action.
The economic loss evaluation method of the RC frame structure under the action of the earthquake and the tsunami is a simple, effective and sufficient loss evaluation method with theoretical basis, the earthquake action is simulated by utilizing power time-course analysis, the tsunami action is simulated by nonlinear static force pushing, a collapse vulnerability curve and structural engineering requirement parameters of the RC frame structure are obtained, and the obtained result is combined with a structure potential collapse mode, a building performance model and a tsunami strength conversion coefficient to evaluate the economic loss of the structure. The method provides good technical support for loss prediction and multi-disaster prevention and protection of the RC structure under the continuous action of the earthquake and tsunami multi-disaster, and can be used for risk prevention and control under the continuous disaster of the earthquake and tsunami. Meanwhile, an effective basis is provided for the design theory of the RC frame structure for evaluating the toughness of multiple disasters, so that the structural performance of the RC frame structure under the continuous action of multiple disasters is improved, and the aims of preventing and reducing the disasters in the earthquake-tsunami multi-disaster high-risk area are fulfilled.
Drawings
FIG. 1 is a flow chart of a rapid evaluation method for economic loss of an RC frame structure for evaluating the toughness of multiple disasters;
FIG. 2 is a schematic diagram of a finite element model of a 4-layer RC frame structure in the embodiment;
FIG. 3 is a collapse vulnerability curve of a 4-layer RC frame structure under the continuous action of earthquake-tsunami multi-disaster in the embodiment when the height of the tsunami is 6 m;
FIG. 4 is an economic loss chart of a 4-layer RC frame structure under the continuous action of an earthquake and tsunami with multiple disasters in the embodiment when the height of the tsunami is 6m and the flow velocity of the tsunami is 4 m/s.
Detailed Description
The first embodiment is as follows: the rapid evaluation of the economic loss of the RC frame structure for multi-disaster toughness evaluation is implemented according to the following steps:
firstly, establishing a finite element (calculation) model of a multilayer RC frame structure, and selecting earthquake motion of an earthquake-tsunami event to establish an earthquake motion analysis sample library;
secondly, performing dynamic time-course analysis on the RC frame structure, adding a time-course curve with the acceleration of 0g behind the acceleration time-course curve of the earthquake to simulate the process of free vibration after the earthquake action, and ensuring that the RC frame structure is static when the tsunami acts;
performing Pushover analysis on the RC frame structure under the action of tsunami force to obtain a pushing curve of base shearing force-top displacement, wherein the reaction at the intersection point of the pushing curve and the tsunami demand force curve is the real reaction of the RC frame structure under the continuous action of earthquake and tsunami;
wherein the tsunami demand force FTThe calculation formula of (a) is as follows:
in the formula, CDDenotes the kinetic coefficient, ρ denotes the tsunami fluid density, u denotes the tsunami flow velocity, g denotes the gravitational acceleration, h denotes the tsunami submergence depth, λ denotes the tsunami guiding coefficient, FrcRepresenting the Froude number threshold, Fr the Froude number
b represents the width of the calculation unit under the action of the tsunami force;
fourthly, repeating the second step and the third step to calculate all the earth vibrations of the earthquake vibration analysis sample library, further obtaining the real reaction of the RC frame structure under the continuous action of each earthquake-tsunami, analyzing a collapse vulnerability curve of the RC frame structure under the action of the earthquake-tsunami and engineering requirement parameters of the RC frame structure, wherein the collapse vulnerability curve refers to a structural vulnerability curve taking the tsunami flow velocity as a parameter variable when the RC frame structure reaches the LS3 limit state, and the engineering requirement parameters comprise the maximum interlayer displacement angle of each layer and the interlayer peak acceleration of each layer;
establishing a performance model of the RC frame structure building, wherein the performance model comprises building information, a population model related to the building and a performance group of building components;
sixthly, determining a (potential) collapse mode of the RC frame structure, and calculating a conversion coefficient of the tsunami strength;
the calculation formula of the tsunami strength conversion coefficient is as follows:
Ti＝FT/Q；
in the formula, TiRepresenting the conversion factor of tsunami intensity, FTIndicates the magnitude of the lateral force of the tsunami, and Q indicates the magnitude of the gravity load of the structure。
Seventhly, carrying out economic loss evaluation on the structure under the action of the earthquake and the tsunami by using the calculation result of the step four:
s71, judging whether the RC frame structure building collapses or not through a collapse vulnerability curve and an RC frame structure (potential) collapse mode;
s72, when the RC frame structure building is judged to collapse, the repairing cost and repairing time of the RC frame structure are the cost and time for reconstructing the structure, and the step S73 is skipped after the calculation is finished;
s73, when the RC frame structure building is judged not to collapse, calculating economic loss by combining a result function and a component vulnerability curve in the performance group of the building component in the fifth step and a tsunami strength conversion coefficient in the sixth step with engineering demand parameters;
and S74, repeating the steps S71-S73, and carrying out log normal distribution fitting on the obtained sample data to obtain an economic loss result of the RC frame structure after the earthquake-tsunami action.
The second embodiment is as follows: the difference between the present embodiment and the specific embodiment is that in the step one, openses finite element software is used to establish a finite element model of the multilayer RC frame structure.
The third concrete implementation mode: the difference between the first embodiment and the second embodiment is that the lateral force of Pushover in the third Pushover analysis is in a regular triangle distribution mode, 5 lateral forces act on each floor at the height of the tsunami, and the action points of the 5 lateral forces are respectively located at the center of the 5 equal-division area at the height of each floor.
The fourth concrete implementation mode: this embodiment is different from the first to third embodiments in that the threshold Froude number Fr in step III iscThe calculation formula of (a) is as follows:
wherein w represents the water flow width of the channel; frd，cRepresenting the building rear Froude number threshold, CHTaking 0.58, b represents the width of the calculation unit under the action of tsunami force.
The fifth concrete implementation mode: this embodimentThe difference between the formula and the fourth embodiment is that the building rear side Froude number critical value Fr in the third stepd，cThe calculation formula of (a) is as follows:
the sixth specific implementation mode: the difference between the present embodiment and the first embodiment is the dynamic coefficient C in the third stepDThe calculation formula of (a) is as follows:
in the formula CD01.9 is taken.
The seventh embodiment: the difference between the present embodiment and the specific embodiment is that the formula for calculating the tsunami guiding coefficient λ in step three is as follows:
the specific implementation mode is eight: the difference between this embodiment and one of the first to seventh embodiments is that the LS3 limit state in step four is a limit state corresponding to a maximum inter-layer displacement angle of the structure reaching 0.04 under the action of an earthquake-tsunami disaster.
The specific implementation method nine: the difference between this embodiment and the first to eighth embodiments is that in the fifth step, PACT software is used to establish a performance model of the RC frame structure building.
The detailed implementation mode is ten: the difference between this embodiment and one of the first to ninth embodiments is that the building information in the fifth step includes: floor height, building area, reconstruction cost, reconstruction time, occupancy coefficient, height adjustment coefficient, maximum working population per square and population model.
The concrete implementation mode eleven: the present embodiment differs from one to ten of the first to tenth embodiments in that the effect of uncertainty of the result under earthquake-tsunami on prediction of economic loss is simulated by the monte carlo method in step S74.
Example (b): the method for rapidly evaluating the economic loss of the RC frame structure for evaluating the multi-disaster toughness is implemented according to the following steps:
firstly, establishing a finite element calculation model of a 4-layer RC frame structure by utilizing OpenSees software, wherein a schematic diagram of the finite element model of the 4-layer RC frame structure is shown in figure 1, selecting seismic oscillation in an earthquake-tsunami event to establish a seismic oscillation analysis sample library, and the seismic oscillation number m (20 is taken in the embodiment m);
secondly, making i equal to 1, carrying out nonlinear power time-course analysis on the RC frame structure, adding a time-course curve with the acceleration of 0g behind the acceleration time-course curve of the earthquake to simulate the process of free vibration after the earthquake action, and ensuring that the RC frame structure is in a static state during the tsunami action;
performing Pushover analysis on the RC frame structure under the action of tsunami force, wherein the lateral force mode of Pushover adopts regular triangular distribution, simultaneously applying 5 lateral forces along each floor under the height of tsunami, the application points are respectively positioned at the centers of 5 equal-divided areas of the height of a single floor, so as to obtain a pushing curve of base shear force-top displacement, and the reaction at the intersection point of the pushing curve and the tsunami demand force curve is the real reaction of the structure under the continuous action of earthquake-tsunami;
calculating the tsunami demand force F according to the formula (1), the formula (2), the formula (3), the formula (4) and the formula (5)T：
In the formula, CDDenotes the kinetic coefficient, ρ denotes the tsunami fluid density, u denotes the tsunami flow velocity, g denotes the gravitational acceleration, h denotes the tsunami submergence height, λ denotes the tsunami guiding coefficient, FrcRepresenting Froude number threshold, w channel water flow width, Frd，cRepresenting the building rear Froude number threshold, CHDetermined by experiment to be 0.58, CD0Determined as 1.9, Fr represents Froude number
b represents the width of the computing unit under the action of tsunami force (in the embodiment, b, 3.6m is taken);
fourthly, enabling i to be i +1, when i is smaller than m, turning to the second step to continue calculation, when i is larger than m, stopping calculation, calculating all earthquake motions of the earthquake motion analysis sample library, obtaining the real reaction of the RC frame structure under the continuous action of each earthquake and tsunami, analyzing a collapse vulnerability curve of the RC frame structure under the action of the earthquake and tsunami and engineering requirement parameters of the RC frame structure, wherein the engineering requirement parameters comprise the maximum interlayer displacement angle of each layer and the peak acceleration of each layer; in the embodiment, a collapse vulnerability curve when the height of the tsunami is 6m under the continuous action of the earthquake and tsunami multiple disasters is shown in fig. 3, and engineering requirement parameters when the height of the tsunami is 6m and the flow velocity of the tsunami is 4m/s under the continuous action of the earthquake and tsunami multiple disasters are shown in tables 1 and 2;
establishing a performance model of the RC frame structure building by using PACT (performance Assessment tool) software, wherein the performance model comprises building information, a population model related to the building and a performance group of building components;
1) determining building information:
the basic building information includes basic parameters of the building, including: floor height, building area, reconstruction cost, reconstruction time, occupancy coefficient, height adjustment coefficient, maximum working number per square;
2) determining a population model associated with the RC frame structure building:
the population model related to the building is a correlation function of time and the number of people in the building, different types of buildings have specific population models, and the population model related to the building is selected and used for calculating casualties under the continuous action of earthquake and tsunami;
3) determining a Performance group (Performance Groups) of the building elements:
the performance group refers to a component set with similar material properties, construction modes and damage modes, and the performance group of the building component is determined in order to obtain a result function (a correlation function of component damage and economic loss) and a component vulnerability curve corresponding to each performance group in a vulnerability database;
sixthly, determining a potential collapse mode of the RC frame structure, and calculating a tsunami strength conversion coefficient; the structure potential collapse mode refers to the surmount probability of the structure layers to collapse, and whether the structure collapses or not is judged by combining the structure potential collapse mode and the collapse vulnerability; the tsunami strength conversion coefficient is used for carrying out economic loss estimation by using tsunami strength as a parameter variable under the continuous action of earthquake-tsunami multiple disasters, and the tsunami strength conversion coefficient is used for equivalent tsunami strength to earthquake spectrum acceleration to predict an economic loss result, and in the embodiment, the tsunami strength conversion coefficient with a 4-layer RC frame structure is shown in table 3;
seventhly, carrying out economic loss evaluation on the structure under the action of the earthquake and the tsunami by using the calculation result of the step four:
s71, judging whether the RC frame structure building collapses or not through a collapse vulnerability curve and structure potential collapse mode software;
s72, when the RC frame structure building is judged to collapse, the repairing cost and repairing time of the RC frame structure are the cost and time for reconstructing the structure, and the step S74 is skipped after the calculation is finished;
s73, when the RC frame structure building is judged not to collapse, calculating the economic loss through a result function and a component vulnerability curve in the performance group of the building component in the fifth step and the tsunami strength conversion coefficient in the sixth step in combination with the engineering demand parameter;
s74: repeating the step S71 to the step S73, simulating the effect of uncertainty of results under earthquake-tsunami on the prediction of economic loss by using a Monte Carlo method, and stopping calculation until the operation times reach the set 1500 times;
s75: and performing lognormal distribution fitting on the obtained sample data to obtain an economic loss result of the structure after the earthquake-tsunami action, and combining the calculation result of the step seven by taking the abscissa as the economic loss and the ordinate as the transcendental probability to obtain an economic loss graph of the 4-layer RC frame structure shown in the figure 4 when the tsunami height is 6m and the tsunami flow velocity is 4m/s under the continuous earthquake-tsunami action.
Table 1 shows the maximum interlayer displacement angle of each layer when the tsunami height of the RC frame structure is 6m and the tsunami flow velocity is 4m/s under the continuous action of earthquake and tsunami;
TABLE 1
Table 2 shows the peak acceleration between each layer of layers when the tsunami height of the RC frame structure is 6m and the tsunami flow velocity is 4m/s under the continuous action of earthquake and tsunami;
TABLE 2
The units in table 2 are g.
Table 3 shows the tsunami strength conversion factor of the 4-layer RC frame structure.
TABLE 3
In the embodiment, the earthquake motion effect is simulated by power time-course analysis and the tsunami effect is simulated by nonlinear static force pushing, a collapse vulnerability curve and structural engineering requirement parameters of the RC frame structure under the earthquake-tsunami effect are obtained, and the structure economic loss is evaluated by combining the obtained result with a structure potential collapse mode, a building performance model and a tsunami strength conversion coefficient.
The rapid evaluation of the economic loss of the RC frame structure for evaluating the multi-disaster toughness is realized through the embodiment. The method has sufficient theoretical basis, is simple and effective, and provides effective basis for building risk prevention and control and structural design theory under continuous disasters of the RC frame structure.
Claims (11)
1. The method for rapidly evaluating the economic loss of the RC frame structure for evaluating the multi-disaster toughness is characterized by being realized according to the following steps:
firstly, establishing a finite element model of a multilayer RC frame structure, and selecting earthquake motion of an earthquake-tsunami event to establish an earthquake motion analysis sample library;
secondly, performing dynamic time-course analysis on the RC frame structure, adding a time-course curve with the acceleration of 0g behind the acceleration time-course curve of the earthquake to simulate the process of free vibration after the earthquake action, and ensuring that the RC frame structure is static when the tsunami acts;
performing Pushover analysis on the RC frame structure under the action of tsunami force to obtain a pushing curve of base shearing force-top displacement, wherein the reaction at the intersection point of the pushing curve and the tsunami demand force curve is the real reaction of the RC frame structure under the continuous action of earthquake and tsunami;
wherein the tsunami demand force FTThe calculation formula of (a) is as follows:
in the formula, CDDenotes the coefficient of power, ρ denotes the density of the tsunami fluid, and u denotes the flow of the tsunamiSpeed, g represents gravitational acceleration, h represents tsunami submergence depth, λ represents tsunami guide coefficient, FrcRepresenting a Froude number critical value, Fr representing the Froude number, and b representing the width of a calculation unit under the action of tsunami force;
fourthly, repeating the second step and the third step to calculate all the earth vibrations of the earthquake vibration analysis sample library, further obtaining the real reaction of the RC frame structure under the continuous action of each earthquake-tsunami, analyzing a collapse vulnerability curve of the RC frame structure under the action of the earthquake-tsunami and engineering requirement parameters of the RC frame structure, wherein the collapse vulnerability curve refers to a structural vulnerability curve taking the tsunami flow velocity as a parameter variable when the RC frame structure reaches the LS3 limit state, and the engineering requirement parameters comprise the maximum interlayer displacement angle of each layer and the interlayer peak acceleration of each layer;
establishing a performance model of the RC frame structure building, wherein the performance model comprises building information, a population model related to the building and a performance group of building components;
sixthly, determining a collapse mode of the RC frame structure, and calculating a conversion coefficient of the tsunami strength;
the calculation formula of the tsunami strength conversion coefficient is as follows:
Ti＝FT/Q；
in the formula, TiRepresenting the conversion factor of tsunami intensity, FTThe lateral force of the tsunami is shown, and Q is the gravity load of the structure.
Seventhly, carrying out economic loss evaluation on the structure under the action of the earthquake and the tsunami by using the calculation result of the step four:
s71, judging whether the RC frame structure building collapses or not through a collapse vulnerability curve and an RC frame structure collapse mode;
s72, when the RC frame structure building is judged to collapse, the repairing cost and repairing time of the RC frame structure are the cost and time for reconstructing the structure, and the step S73 is skipped after the calculation is finished;
s73, when the RC frame structure building is judged not to collapse, calculating economic loss by combining a result function and a component vulnerability curve in the performance group of the building component in the fifth step and a tsunami strength conversion coefficient in the sixth step with engineering demand parameters;
and S74, repeating the steps S71-S73, and carrying out log normal distribution fitting on the obtained sample data to obtain an economic loss result of the RC frame structure after the earthquake-tsunami action.
2. The method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein in the first step, a finite element model of the multi-layer RC frame structure is established by using OpenSees finite element software.
3. The method for rapidly evaluating the economic loss of the RC frame structure oriented to the multi-disaster toughness evaluation according to claim 1, wherein the lateral force of Pushover in the third Pushover analysis step is in a regular triangle distribution mode, 5 lateral forces act on each floor at the coastal tsunami height, and the acting points of the 5 lateral forces are respectively located at the center of a 5-equal-divided area of each floor height.
4. The rapid evaluation method for the economic loss of the RC frame structure oriented to the multi-disaster toughness evaluation according to claim 1, wherein the Froude number critical value Fr in step IIIcThe calculation formula of (a) is as follows:
wherein w represents the water flow width of the channel; frd，cRepresenting the building rear Froude number threshold, CHTaking 0.58, b represents the width of the calculation unit under the action of tsunami force.
5. The rapid evaluation method for economic losses of RC frame structure oriented to multi-disaster toughness evaluation according to claim 4, wherein the building rear side Froude number critical value Fr in step threed，cThe calculation formula of (a) is as follows:
6. the method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein the dynamic coefficient C in the third step isDThe calculation formula of (a) is as follows:
in the formula CD01.9 is taken.
7. The method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein a formula for calculating a tsunami guiding coefficient lambda in step III is as follows:
8. the method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein the LS3 limit state in step four is a limit state corresponding to the maximum interlayer displacement angle of the structure reaching 0.04 under the action of earthquake-tsunami multi-disaster.
9. The method for rapidly evaluating the economic loss of the RC frame structure oriented to the multi-disaster toughness evaluation according to claim 1, wherein in the fifth step, PACT software is used for establishing a performance model of the RC frame structure building.
10. The method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein the building information in the fifth step comprises: floor height, building area, reconstruction cost, reconstruction time, occupancy coefficient, height adjustment coefficient, maximum working population per square and population model.
11. The method for rapidly evaluating the economic loss of the RC frame structure oriented to multi-disaster toughness evaluation according to claim 1, wherein in step S74, the Monte Carlo method is used to simulate the effect of uncertainty of the result under the continuous earthquake-tsunami disaster on the prediction of the economic loss.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110295576.5A CN113011066A (en) | 2021-03-19 | 2021-03-19 | Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110295576.5A CN113011066A (en) | 2021-03-19 | 2021-03-19 | Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113011066A true CN113011066A (en) | 2021-06-22 |
Family
ID=76403127
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110295576.5A Pending CN113011066A (en) | 2021-03-19 | 2021-03-19 | Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113011066A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114417472A (en) * | 2022-01-21 | 2022-04-29 | 四川大学 | Non-structural system seismic loss assessment method considering multi-dimensional seismic input |
| CN115906337A (en) * | 2023-02-20 | 2023-04-04 | 北京建筑大学 | Engineering structure sectional type main aftershock toughness analysis method and system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102117059A (en) * | 2009-12-31 | 2011-07-06 | 深圳华强智能技术有限公司 | Disaster effect simulation system and method thereof |
| US20150056016A1 (en) * | 2012-03-15 | 2015-02-26 | Petre Popa | P squared system (pss) |
| CN105654414A (en) * | 2015-12-25 | 2016-06-08 | 浙江大学城市学院 | Urban multi-disaster risk loss evaluation system based on open source system framework and building spatial database and method thereof |
| CN110334458A (en) * | 2019-07-11 | 2019-10-15 | 哈尔滨工业大学 | A kind of structural seismic capacity appraisal procedure for considering initial damage state and influencing |
| CN111460359A (en) * | 2020-04-09 | 2020-07-28 | 重庆交通大学 | Method for calculating tsunami load borne by sea-crossing bridge |
-
2021
- 2021-03-19 CN CN202110295576.5A patent/CN113011066A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102117059A (en) * | 2009-12-31 | 2011-07-06 | 深圳华强智能技术有限公司 | Disaster effect simulation system and method thereof |
| US20150056016A1 (en) * | 2012-03-15 | 2015-02-26 | Petre Popa | P squared system (pss) |
| CN105654414A (en) * | 2015-12-25 | 2016-06-08 | 浙江大学城市学院 | Urban multi-disaster risk loss evaluation system based on open source system framework and building spatial database and method thereof |
| CN110334458A (en) * | 2019-07-11 | 2019-10-15 | 哈尔滨工业大学 | A kind of structural seismic capacity appraisal procedure for considering initial damage state and influencing |
| CN111460359A (en) * | 2020-04-09 | 2020-07-28 | 重庆交通大学 | Method for calculating tsunami load borne by sea-crossing bridge |
Non-Patent Citations (1)
| Title |
|---|
| 李丽瑾: ""地震-海啸连续作用下RC框架结构易损性及经济损失研究"", 《中国优秀博硕士学位论文全文数据库(硕士) 工程科技Ⅱ辑》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114417472A (en) * | 2022-01-21 | 2022-04-29 | 四川大学 | Non-structural system seismic loss assessment method considering multi-dimensional seismic input |
| CN114417472B (en) * | 2022-01-21 | 2023-01-24 | 四川大学 | Non-structural system seismic loss assessment method considering multi-dimensional seismic input |
| CN115906337A (en) * | 2023-02-20 | 2023-04-04 | 北京建筑大学 | Engineering structure sectional type main aftershock toughness analysis method and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Grunwald et al. | Reliability of collapse simulation–Comparing finite and applied element method at different levels | |
| Su et al. | Seismic fragility assessment of large-scale pile-supported wharf structures considering soil-pile interaction | |
| CN113011066A (en) | Multi-disaster toughness evaluation-oriented RC frame structure economic loss rapid evaluation method | |
| Araya-Letelier et al. | Novel sliding/frictional connections for improved seismic performance of gypsum wallboard partitions | |
| Bhatt et al. | Assessing the seismic response of existing RC buildings using the extended N2 method | |
| Mwafy et al. | Significance of severe distant and moderate close earthquakes on design and behavior of tall buildings | |
| Su et al. | Seismic fragility analysis of pile-supported wharves with the influence of soil permeability | |
| Ajamy et al. | Probabilistic seismic analysis of offshore platforms incorporating uncertainty in soil–pile–structure interactions | |
| Brandonisio et al. | Closed form solution for predicting the horizontal capacity of masonry portal frames through limit analysis and comparison with experimental test results | |
| Mohsenian et al. | Multilevel seismic demand prediction for acceleration-sensitive non-structural components | |
| Azghandi et al. | Numerical simulation of seismic collapse mechanisms of vertically irregular steel high-rise buildings | |
| Kazemi et al. | Development of fragility curves by incorporating new spectral shape indicators and a weighted damage index: case study of steel braced frames in the city of Mashhad, Iran | |
| Popa et al. | Virtual and rapid prototyping methods applied in civil engineering: Snow, wind and earthquake simulations on a five storey building | |
| Kamatchi et al. | Effect of depth of soil stratum on performance of buildings for site-specific earthquakes | |
| Yuan et al. | Spatial failure mechanism of coastal bridges under extreme waves using high-efficient pseudo-fluid-structure interaction solution scheme | |
| Milanesi et al. | Modeling strategies of ductile masonry infills for the reduction of the seismic vulnerability of RC frames | |
| Chen et al. | Study on the mechanical characteristics and failure mechanism of the coastal bridge with a box-girder superstructure under the action of breaking solitary waves | |
| Khy et al. | Application of conditional mean spectrum in nonlinear response history analysis of tall buildings on soft soil | |
| Oyguc et al. | Performance assessment of two aseismically designed RC school buildings after the October 23, 2011, Van, Turkey Earthquake | |
| Alam et al. | Multi-hazard earthquake-tsunami structural fragility assessment framework | |
| Cavaleri et al. | Masonry structures subjected to tsunami loads: modeling issues and application to a case study | |
| Isobe et al. | Sequential Simulations of Steel Frame Buildings Under Multi-Phase Hazardous Loads During Earthquake and Tsunami | |
| Tabbakhha | Multiscale methodology for vulnerability assessment of masonry structures | |
| Basile | Pile-group response under seismic loading | |
| Griffin | Experimental and analytical investigation of progressive collapse through demolition scenarios and computer modeling |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210622 |
|
| RJ01 | Rejection of invention patent application after publication |