House anti-seismic performance evaluation method, system and device and readable storage medium

Abstract

The invention provides a house anti-seismic performance evaluation method, system and device and a readable storage medium, and relates to the field of house anti-seismic performance evaluation, and the method comprises the steps: obtaining the monitoring data of a house monitoring unit group in each floor; respectively filtering an acceleration signal set and a speed signal set in the monitoring data; respectively carrying out baseline correction processing on the acceleration filtering signal and the speed filtering signal to obtain an acceleration baseline correction signal and a speed baseline correction signal; calculating the acceleration baseline correction signal, the speed baseline correction signal and the displacement signal set to obtain an anti-seismic performance index of each floor; and solving through a preset overall evaluation model to obtain the overall anti-seismic performance index of the house. According to the method, the monitoring data, obtained in real time, of each part of the house is taken as a data basis, interaction and influence among multiple structural parts such as floors, walls, beams and columns are comprehensively considered, and the anti-seismic performance of the house is comprehensively reflected.

Description

Technical Field

[0001] The present invention relates to the field of building seismic performance evaluation, and in particular to a building seismic performance evaluation method, system, device and readable storage medium. Background Art

[0002] With the acceleration of urbanization and the frequent occurrence of earthquake disasters, the monitoring and evaluation of the seismic performance of houses has become an important research direction. First of all, traditional monitoring methods can usually only obtain static data of the house structure, and cannot reflect the dynamic response of the house in real time, resulting in inaccurate and delayed evaluation of the seismic performance of the house, and unable to provide early warnings and take countermeasures in a timely manner. In addition, the existing seismic performance evaluation methods often only focus on the overall stability of the house structure, while ignoring the interaction and influence between various parts (such as floor slabs, walls, beams, columns, etc.). This single evaluation method cannot fully reflect the comprehensive performance of the house under the action of earthquakes, thereby affecting the accuracy and reliability of the evaluation. Therefore, there is an urgent need for a seismic performance evaluation method for houses, which uses the real-time monitoring data of various parts of the house as the data basis, and needs to comprehensively consider the interaction and influence between multiple structural parts such as floor slabs, walls, beams, and columns to fully reflect the seismic performance of the house. Summary of the invention

[0003] The purpose of the present invention is to provide a method, system, device and readable storage medium for evaluating the earthquake resistance of a building to improve the above-mentioned problems. In order to achieve the above-mentioned purpose, the technical solution adopted by the present invention is as follows:

[0004] In a first aspect, the present application provides a method for evaluating the seismic performance of a building, the method comprising:

[0005] Acquire monitoring data on a house monitoring unit group on each floor, the monitoring data including an acceleration signal set, a velocity signal set and a displacement signal set, the house monitoring unit group including a first monitoring unit, a second monitoring unit, a third monitoring unit and a fourth monitoring unit, the first monitoring unit being arranged at the intersection of diagonals of a plane where a floor slab is located, the second monitoring unit being arranged at the intersection of diagonals of a plane where a wall is located, the third monitoring unit being arranged at the middle of a beam body, and the fourth monitoring unit being arranged at the middle of a column body;

[0006] Performing filtering processing on the acceleration signal set and the velocity signal set respectively to obtain an acceleration filtering signal and a velocity filtering signal;

[0007] Performing baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal;

[0008] Calculating the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain a seismic performance index of each floor;

[0009] The seismic performance index of each floor is solved by a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

[0010] In a second aspect, the present application also provides a system for evaluating the seismic performance of a building, the system comprising:

[0011] An acquisition module is used to acquire monitoring data on a housing monitoring unit group on each floor, wherein the monitoring data includes an acceleration signal set, a velocity signal set, and a displacement signal set, wherein the housing monitoring unit group includes a first monitoring unit, a second monitoring unit, a third monitoring unit, and a fourth monitoring unit, wherein the first monitoring unit is arranged at the intersection of the diagonals of the plane where the floor is located, the second monitoring unit is arranged at the intersection of the diagonals of the plane where the wall is located, the third monitoring unit is arranged at the middle of the beam, and the fourth monitoring unit is arranged at the middle of the column;

[0012] A first processing module, used for filtering the acceleration signal set and the velocity signal set respectively to obtain an acceleration filtering signal and a velocity filtering signal;

[0013] A second processing module, used for performing baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal;

[0014] A third processing module, used for calculating the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain the seismic performance index of each floor;

[0015] The fourth processing module is used to solve the seismic performance index of each floor through a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

[0016] In a third aspect, the present application also provides a building seismic performance evaluation device, comprising:

[0017] Memory for storing computer programs;

[0018] A processor is used to implement the steps of the method for evaluating the seismic performance of a building when executing the computer program.

[0019] In a fourth aspect, the present application further provides a readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the above-mentioned method for evaluating the seismic performance of a building are implemented.

[0020] The beneficial effects of the present invention are:

[0021] Firstly, the present invention realizes real-time monitoring of acceleration, velocity and displacement signals of various parts of a house by deploying a monitoring unit group; afterwards, the present invention takes the monitoring data of various parts of the house acquired in real time as the data basis, and comprehensively considers the seismic performance of multiple structural parts such as floor slabs, walls, beams and columns. Compared with a single evaluation method that only focuses on overall stability, the present invention can more comprehensively and accurately reflect the comprehensive performance of a house under earthquake action. This comprehensive evaluation method is helpful to discover the weak links of the house structure and provides a basis for targeted reinforcement and improvement; in addition, the evaluation method proposed by the present invention has strong versatility and practicality, and is suitable for monitoring and evaluating the seismic performance of various types of houses.

[0022] Other features and advantages of the present invention will be set forth in the following description, and in part will become apparent from the description, or may be understood by practicing embodiments of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments are briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without creative work.

[0024] Figure 1 A schematic diagram of a flow chart of a method for evaluating earthquake resistance of a building described in an embodiment of the present invention;

[0025] Figure 2 is a schematic diagram of the configuration structure of the first monitoring unit, the second monitoring unit, the third monitoring unit and the fourth monitoring unit in an embodiment of the present invention;

[0026] Figure 3 It is a schematic diagram of the structure of a building seismic performance evaluation system described in an embodiment of the present invention;

[0027] Figure 4 It is a schematic diagram of the structure of a building seismic performance evaluation device described in an embodiment of the present invention;

[0028] Markings in the figure:

[0029] 1. Floor; 2. Wall; 3. Beam; 4. Column; 51. First monitoring unit; 52. Second monitoring unit; 53. Third monitoring unit; 54. Fourth monitoring unit; 11. Acquisition module; 12. First processing module; 13. Second processing module; 14. Third processing module; 15. Fourth processing module; 800. A device for evaluating the seismic performance of a building; 801. Processor; 802. Memory; 803. Multimedia component; 804. I / O interface; 805. Communication component. DETAILED DESCRIPTION

[0030] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all of the embodiments. The components of the embodiments of the present invention generally described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present invention provided in the drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0031] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. At the same time, in the description of the present invention, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0032] Embodiment 1:

[0033] This embodiment provides a method for evaluating the seismic performance of a building.

[0034] See also Figure 1 , the figure shows that the method includes steps S1 to S5, specifically:

[0035] S1: Acquire monitoring data on a house monitoring unit group on each floor, wherein the monitoring data includes an acceleration signal set, a velocity signal set, and a displacement signal set, and the house monitoring unit group includes a first monitoring unit, a second monitoring unit, a third monitoring unit, and a fourth monitoring unit;

[0036] like Figure 2As shown, the first monitoring unit 51 is arranged at the intersection of the diagonals of the plane where the floor 1 is located, the second monitoring unit 52 is arranged at the intersection of the diagonals of the plane where the wall 2 is located, the third monitoring unit 53 is arranged at the middle of the beam 3, and the fourth monitoring unit 54 is arranged at the middle of the column 4;

[0037] In step S1, each monitoring unit is provided with an acceleration sensor, a velocity sensor and a displacement sensor, wherein the monitoring direction is vertical, each monitoring unit is provided with a battery and a wireless sensor, and all monitoring signals are transmitted to the base station via satellite signals. The present invention realizes real-time monitoring of acceleration, velocity and displacement signals of various parts of a house by deploying a monitoring unit group. This method overcomes the disadvantage that traditional technology cannot obtain dynamic data in real time, making the evaluation of seismic performance more timely and accurate. Through real-time monitoring data, the present invention can timely discover abnormal responses of houses under earthquake action, providing strong support for timely early warning and taking countermeasures.

[0038] In this method, take the nth floor of a house as an example:

[0039] On the a-th floor slab of the n-th floor, the acceleration signal transmitted by the first monitoring unit 51 is The speed signal is The displacement signal is Where t is time;

[0040] Similarly, on the cth wall of the nth floor, the acceleration signal transmitted by the second monitoring unit 52 is The speed signal is The displacement signal is

[0041] On the dth beam on the nth floor, the acceleration signal transmitted by the third monitoring unit 53 is The speed signal is The displacement signal is

[0042] On the e-th column on the n-th floor, the acceleration signal transmitted by the fourth monitoring unit 54 is The speed signal is The displacement signal is

[0043] S2: filtering the acceleration signal set and the velocity signal set respectively to obtain an acceleration filter signal and a velocity filter signal;

[0044] In step S2, the filtering process adopts the existing band-pass filtering method, that is, the filtering function preset in the band-pass filter is used for processing to obtain the acceleration filtering signal and the velocity filtering signal respectively;

[0045] The bandpass filtering method can effectively retain the useful information within a specific frequency range in the monitoring signal, while filtering out noise and interference signals outside this range, which helps to purify the signal, improve the signal-to-noise ratio of the signal, and provide a more accurate data basis for subsequent data analysis and processing; in addition, excessively high frequency components may damage the monitoring equipment and affect the normal operation and life of the equipment. This step can limit the high-frequency components in the signal through filtering processing to protect the equipment from damage.

[0046] During the signal acquisition process, the signal baseline may be offset due to factors such as the initial state of the device and changes in ambient temperature. For signal data from different monitoring units or different time periods, if the signal baseline is offset, direct comparison may result in errors. Therefore, this method introduces step S3:

[0047] S3: performing baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal;

[0048] In this step, a binomial trend elimination method is used when performing baseline correction processing on the acceleration filter signal. The binomial trend elimination method can better fit the nonlinear trend of the acceleration filter signal, thereby more accurately eliminating the baseline offset in the filtered acceleration signal;

[0049] Since the initial speed of the monitoring device is not zero or the environmental factors are unstable, the baseline offset in the speed signal usually shows a linear trend. Therefore, in this step, linear trend elimination is used when performing baseline correction processing on the speed filter signal to improve the correction accuracy.

[0050] After step S2 and step S3, the method uses filtering and baseline correction to process the monitoring data, which improves the accuracy and reliability of the data, can eliminate noise and interference signals, and make the monitoring data more real and effective. With high-quality data support, the seismic performance evaluation results of the present invention are more accurate and reliable.

[0051] S4: Calculating the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain the seismic performance index of each floor;

[0052] In step S4, the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set are calculated to obtain the seismic performance index of each floor, including steps S41 to S45, specifically:

[0053] S41: solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set by using a preset floor performance evaluation model to obtain a comprehensive floor performance index of each floor;

[0054] In this step, the acceleration baseline correction signal includes a first acceleration processing signal, the speed baseline correction signal includes a first speed processing signal, the first acceleration processing signal is an acceleration signal after baseline correction for each floor slab in each floor, the first speed processing signal is a speed signal after baseline correction for each floor slab in each floor, the displacement signal set includes a first displacement signal, the first displacement signal is a displacement signal for each floor slab in each floor, step S41 includes S411 to S415, specifically:

[0055] S411: Calculating the first acceleration processing signal through a preset acceleration performance evaluation model to obtain an acceleration performance evaluation factor of each floor slab in each floor;

[0056] Take the a-th floor of the n-th floor of a house as an example:

[0057] After filtering and baseline correction, the first acceleration processing signal of the a-th floor slab of the n-th floor is: The first velocity processing signal of the a-th floor slab on the n-th floor is: The monitoring frequency W can be 500-1000Hz;

[0058] Afterwards, the first acceleration processing signal is Perform wavelet packet decomposition to obtain the 2 corresponding to the first acceleration processing signal L decomposed sub-signals and named them as:

[0059] Next, the decomposed sub-signals of each first acceleration processing signal are subjected to fast Fourier transform and response spectrum calculation respectively, and the following are obtained in turn: Fourier spectrum and response spectrum, where x is from 1 to 2 L The number of The Fourier spectrum of The response spectrum is

[0060] Afterwards, according to the adjacent previous floor and Adjacent rear floor and Perform the calculation:

[0061] extract The first three main frequencies are:

[0062] extract The first three main frequencies are:

[0063] extract The first three main frequencies are: Then the Fourier spectrum of the acceleration performance of the x-th decomposition sub-signal on the a-th floor of the n-th floor is for:

[0064]

[0065] In the above formula (1), It represents the Fourier spectrum of the acceleration performance of the x-th decomposition sub-signal on the a-th floor slab of the n-th floor; Respectively The first three main frequencies of Respectively The first three main frequencies of Respectively The first three main frequencies of ; W represents the monitoring frequency.

[0066] The acceleration performance response spectrum of the xth decomposition sub-signal on the ath floor slab of the nth floor for:

[0067]

[0068] In the above formula (2), represents the acceleration performance response spectrum of the xth decomposition sub-signal on the ath floor slab on the nth floor, Indicates the first acceleration processing signal on the adjacent next floor of the a-th floor of the n-th floor The decomposition signal The response spectrum, Represents the first acceleration processing signal on the a-th floor of the n-th floor The decomposition signal The response spectrum, Indicates the first acceleration processing signal on the adjacent previous floor of the a-th floor of the n-th floor The decomposition signal The response spectrum, express and The covariance of express and The covariance of for The variance of for The variance of for The variance of .

[0069] In this method, the acceleration performance evaluation model is:

[0070]

[0071] In the above formula (3), It represents the acceleration performance evaluation factor on the a-th floor slab on the n-th floor; represents the acceleration performance Fourier spectrum corresponding to the first decomposed sub-signal of the first acceleration processing signal on the a-th floor slab of the n-th floor; represents the acceleration performance Fourier spectrum corresponding to the second decomposed sub-signal of the first acceleration processing signal on the a-th floor slab of the n-th floor; The second value of the first acceleration processing signal on the a-th floor plate on the n-th floor L The Fourier spectrum of acceleration performance corresponding to each decomposed sub-signal; represents the acceleration performance response spectrum of the first decomposed sub-signal on the a-th floor slab of the n-th floor, It represents the acceleration performance response spectrum of the second decomposed sub-signal on the a-th floor slab of the n-th floor. Indicates the second L The acceleration performance response spectrum of the decomposed sub-signals.

[0072] S412: Calculate the first speed processing signal using a preset speed performance evaluation model to obtain a speed performance evaluation factor for each floor slab in each floor;

[0073] In step S412, the first speed processing signal Perform wavelet packet decomposition to obtain the 2 corresponding to the first speed processing signal L decomposed sub-signals and named them as:

[0074] Next, the decomposed sub-signals of each first velocity processing signal are subjected to fast Fourier transform and response spectrum calculation respectively, and the following are obtained in turn: Fourier spectrum and response spectrum, where x is from 1 to 2 L The number of The Fourier spectrum of The response spectrum is

[0075] Afterwards, the calculation principle is the same as step S411 to obtain and in It represents the Fourier spectrum of the speed performance of the x-th decomposition sub-signal on the a-th floor of the n-th floor. It represents the velocity performance response spectrum of the xth decomposition sub-signal on the ath floor slab of the nth floor.

[0076] In this method, the speed performance evaluation model is:

[0077]

[0078] In the above formula (4), It represents the velocity performance evaluation factor on the a-th floor slab of the n-th floor; represents the speed performance Fourier spectrum corresponding to the first decomposed sub-signal of the first speed processing signal on the a-th floor plate of the n-th floor; represents the speed performance Fourier spectrum corresponding to the second decomposed sub-signal of the first speed processing signal on the a-th floor slab of the n-th floor; The second signal of the first speed processing signal on the a-th floor of the n-th floor L The speed performance Fourier spectrum corresponding to the decomposed sub-signals; It represents the velocity performance response spectrum of the first decomposed sub-signal on the a-th floor slab of the n-th floor. It represents the velocity performance response spectrum of the second decomposed sub-signal on the a-th floor slab of the n-th floor. Indicates the second L The velocity performance response spectrum of the decomposed sub-signals.

[0079] S413: Calculating the first displacement signal using a preset displacement evaluation model to obtain a displacement evaluation factor of each floor slab in each floor;

[0080] In step S413, the first displacement signal on the a-th floor slab of the n-th floor is expressed as The maximum value of the first displacement signal on the a-th floor of the n-th floor is: The minimum value of the first displacement signal on the a-th floor slab of the n-th floor is:

[0081] The preset displacement evaluation model is:

[0082]

[0083] In the above formula (5), represents the displacement evaluation factor of the a-th floor slab on the n-th floor, represents the maximum value of the first displacement signal on the a-th floor slab on the n-th floor, represents the minimum value of the first displacement signal on the a-th floor slab on the n-th floor, h a Indicates the thickness of the a-th floor slab on the n-th floor.

[0084] S414: solving the acceleration performance evaluation factor of each floor slab in each floor, the velocity performance evaluation factor of each floor slab and the displacement evaluation factor of each floor slab through a preset association model to obtain a performance evaluation index of each floor slab in each floor;

[0085] In step S414, the association model is:

[0086]

[0087] In the above formula (6), It represents the performance evaluation index of the a-th floor slab on the n-th floor; It represents the acceleration performance evaluation factor on the a-th floor slab on the n-th floor; It represents the velocity performance evaluation factor on the a-th floor slab of the n-th floor; It represents the displacement evaluation factor of the a-th floor slab on the n-th floor.

[0088] S415: The performance evaluation index of each floor slab in each floor is solved by a preset floor slab performance evaluation model to obtain the comprehensive performance index of the floor slab of each floor.

[0089] In step S415, the floor performance evaluation model is:

[0090]

[0091] In the above formula (7), represents the comprehensive performance index of the floor slab on the nth floor, It represents the performance evaluation index of the ath floor slab on the nth floor; a represents the ath floor slab on the nth floor, and the value range of a is 1 to a*; a* represents the number of first monitoring units set on the nth floor.

[0092] S42: solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set by using a preset wall performance evaluation model to obtain a comprehensive wall performance index of each floor;

[0093] In step S42, the acceleration baseline correction signal includes a second acceleration processing signal, the speed baseline correction signal includes a second speed processing signal, the second acceleration processing signal is an acceleration signal after baseline correction for each wall in each floor, the second speed processing signal is a speed signal after baseline correction for each wall in each floor, the displacement signal set includes a second displacement signal, the second displacement signal is a displacement signal for each wall in each floor, step S42 includes S421 to S425, specifically:

[0094] S421: Calculating the second acceleration processing signal using a preset acceleration performance evaluation model to obtain an acceleration performance evaluation factor for each wall on each floor;

[0095] S422: Calculate the second speed processing signal using a preset speed performance evaluation model to obtain a speed performance evaluation factor for each wall on each floor;

[0096] S423: Calculating the second displacement signal using a preset displacement evaluation model to obtain a displacement evaluation factor for each wall on each floor;

[0097] S424: solving the acceleration performance evaluation factor of each wall on each floor, the velocity performance evaluation factor of each wall, and the displacement evaluation factor of each wall through a preset association model to obtain a performance evaluation index of each wall on each floor;

[0098] In step S421 to step S424, the calculation principle is the same as that of step S411 to step S414. There is one point to note: taking the displacement evaluation factor of the cth wall of the nth floor as an example, h a Replace with h c , the h c Indicates the thickness of the c-th wall on the n-th floor.

[0099] S425: Solving the performance evaluation index of each wall in each floor through a preset wall performance evaluation model to obtain a comprehensive wall performance index of each floor.

[0100] In step S425, the wall performance evaluation model is:

[0101]

[0102] In the above formula (8), represents the comprehensive performance index of the wall on the nth floor, represents the performance evaluation index of the cth wall on the nth floor; c represents the cth wall on the nth floor, and the value range of c is 1 to c*; c* represents the number of second monitoring units set on the nth floor.

[0103] S43: solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set by using a preset beam performance evaluation model to obtain a comprehensive performance index of the beam of each floor;

[0104] In step S43, the acceleration baseline correction signal includes a third acceleration processing signal, the velocity baseline correction signal includes a third velocity processing signal, the third acceleration processing signal is an acceleration signal after baseline correction for each beam in each floor, the third velocity processing signal is a velocity signal after baseline correction for each beam in each floor, the displacement signal set includes a third displacement signal, the third displacement signal is a displacement signal for each beam in each floor, step S43 includes S431 to S435, specifically:

[0105] S431: Calculating the third acceleration processing signal through a preset acceleration performance evaluation model to obtain an acceleration performance evaluation factor of each beam in each floor;

[0106] S432: Calculate the third speed processing signal using a preset speed performance evaluation model to obtain a speed performance evaluation factor for each beam in each floor;

[0107] S433: Calculating the third displacement signal using a preset displacement evaluation model to obtain a displacement evaluation factor for each beam on each floor;

[0108] S434: solving the acceleration performance evaluation factor of each beam body in each floor, the velocity performance evaluation factor of each beam body, and the displacement evaluation factor of each beam body through a preset association model to obtain a performance evaluation index of each beam body in each floor;

[0109] In step S431 to step S434, the calculation principle is the same as that of step S411 to step S414. There is one thing to note: taking the displacement evaluation factor of the d-th beam of the n-th floor as an example, h a Replace with h d , the h d Indicates the thickness of the d-th beam on the n-th floor.

[0110] S435: The performance evaluation index of each beam in each floor is solved by a preset beam performance evaluation model to obtain a comprehensive performance index of the beam on each floor.

[0111] In step S435, the beam performance evaluation model is:

[0112]

[0113] In the above formula (9), It represents the comprehensive performance index of the beam on the nth floor. It represents the performance evaluation index of the first beam on the nth floor; It represents the performance evaluation index of the second beam on the nth floor; It represents the performance evaluation index of the d*th beam on the nth floor; d represents the dth beam on the nth floor, and the value range of d is 1 to d*; d* represents the number of third monitoring units set on the nth floor.

[0114] S44: solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set by using a preset column performance evaluation model to obtain a comprehensive column performance index for each floor;

[0115] In step S44, the acceleration baseline correction signal includes a fourth acceleration processing signal, the speed baseline correction signal includes a fourth speed processing signal, the fourth acceleration processing signal is an acceleration signal after baseline correction for each column in each floor, the fourth speed processing signal is a speed signal after baseline correction for each column in each floor, the displacement signal set includes a fourth displacement signal, the fourth displacement signal is a displacement signal for each column in each floor, step S44 includes S441 to S445, specifically:

[0116] S441: Calculating the fourth acceleration processing signal through a preset acceleration performance evaluation model to obtain an acceleration performance evaluation factor of each column in each floor;

[0117] S442: Calculating the fourth speed processing signal using a preset speed performance evaluation model to obtain a speed performance evaluation factor for each column in each floor;

[0118] S443: Calculating the fourth displacement signal using a preset displacement evaluation model to obtain a displacement evaluation factor of each column in each floor;

[0119] S444: solving the acceleration performance evaluation factor of each column in each floor, the velocity performance evaluation factor of each column, and the displacement evaluation factor of each column through a preset association model to obtain a performance evaluation index of each column in each floor;

[0120] In step S441 to step S444, the calculation principle is the same as that of step S411 to step S414. There is one point to note: taking the displacement evaluation factor of the e-th column on the n-th floor as an example, h a Replace with h e , the h e Indicates the thickness of the e-th column on the n-th floor.

[0121] S445: The performance evaluation index of each column in each floor is solved by a preset column performance evaluation model to obtain a comprehensive performance index of the column on each floor.

[0122] In step S445, the column performance evaluation model is:

[0123]

[0124] In the above formula (10), It represents the comprehensive performance index of the column on the nth floor. It represents the performance evaluation index of the first column on the nth floor; It represents the performance evaluation index of the second column on the nth floor; It represents the performance evaluation index of the e*th column on the nth floor; e represents the e*th column on the nth floor, and the value range of e is 1 to e*; e* represents the number of fourth monitoring units set on the nth floor.

[0125] S45: The comprehensive performance index of the floor slab, the comprehensive performance index of the wall, the comprehensive performance index of the beam and the comprehensive performance index of the column of each floor are solved by a preset single-layer evaluation model to obtain the seismic performance index of each floor.

[0126] In step S45, the floor slab comprehensive performance index, the wall comprehensive performance index, the beam comprehensive performance index and the column comprehensive performance index of each floor are solved by a preset single-layer evaluation model to obtain the seismic performance index of each floor, wherein the single-layer evaluation model is:

[0127]

[0128] In the above formula (11), K n represents the seismic performance index of the nth floor, K1 represents the weight coefficient of the column, represents the comprehensive performance index of the column on the nth floor, K2 represents the weight coefficient of the beam, represents the comprehensive performance index of the beam on the nth floor, K3 represents the weight coefficient of the floor slab, represents the comprehensive performance index of the floor slab on the nth floor, K4 represents the weight coefficient of the wall, represents the comprehensive performance index of the wall on the nth floor; wherein, the constraints are: K1>K2>K3=K4, and K1+K2+K3+K4=1.

[0129] The main reasons for setting the above K1, K2, K3, and K4 constraints are:

[0130] As the main load-bearing component of the house structure, the column bears the main horizontal and vertical loads during an earthquake. It not only supports the weight of the superstructure, but also is responsible for transferring the load to the foundation. Therefore, the seismic performance of the column is crucial to the stability and safety of the overall structure. Once the column is damaged in an earthquake, the entire house structure may face serious safety risks. Therefore, when calculating the seismic performance index of the nth floor, the weight coefficient of the column is set to the highest.

[0131] Beams connect columns and walls and transfer loads in house structures. Although beams do not directly bear most of the loads like columns, their stability and integrity are crucial to maintaining the integrity and continuity of the house structure. The damage to beams in an earthquake may cause local failure of the structure or serious deformation, thus affecting the seismic performance of the overall structure. Therefore, the weight coefficient of the beam is set lower than that of the column, but higher than that of the wall and the floor.

[0132] Walls and floor slabs also play an important role in the structure of a house, but their seismic performance is slightly inferior to that of columns and beams. Walls mainly provide lateral support and enclosure functions, while floor slabs are responsible for dividing spaces and transmitting horizontal loads. Although the damage of walls and floor slabs will also have a certain impact on the overall structure, compared with columns and beams, their impact on the overall structural stability is smaller. Therefore, when calculating the seismic performance index of the nth floor, the weight coefficients of walls and floor slabs should be set to relatively low values, and the two should be equal to reflect their similar importance in seismic performance.

[0133] In step S4, the present invention uses a comprehensive evaluation method to comprehensively consider the seismic performance of multiple structural parts such as floor slabs, walls, beams, columns, etc., and more comprehensively reflects the overall seismic capacity of the house.

[0134] In addition, this method converts seismic performance into specific values ​​by calculating multiple performance evaluation factors and multiple comprehensive seismic performance indicators, such as the comprehensive performance indicators of floor slabs, walls, beams, and columns. This quantitative analysis method makes the evaluation results more intuitive, easier to compare and make decisions. At the same time, the overall seismic performance evaluation method of the house based on the seismic performance indicators of each floor can more accurately reflect the overall seismic resistance level of the house, providing an effective means for comprehensively evaluating the safety performance of the house.

[0135] S5: The seismic performance index of each floor is solved by a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

[0136] In step S5, the overall evaluation model is:

[0137]

[0138] In the above formula (12), K represents the overall seismic performance index of the building, m represents the total number of floors of the current building, and w n Indicates the preset weight coefficient of the seismic performance index in the nth floor, K n It represents the seismic performance index of the nth floor, where n represents the current floor position and its value range is 1 to m.

[0139] w n Values ​​can be assigned based on the stiffness, strength, deformation capacity, etc. of each floor.

[0140] After that, the overall earthquake resistance index of the house is compared with the warning value and used for engineering earthquake resistance guidance, including:

[0141] When K ≥ 0.9, it means that the house has good earthquake resistance and can meet the current earthquake resistance requirements without taking special engineering measures.

[0142] When 0.9>K≥0.8, the earthquake resistance of the house is at a good level, but there is still room for improvement. It is recommended to strengthen the house structure locally according to the calculated comprehensive performance indicators of each structure, especially to strengthen the weak parts, so as to improve the overall earthquake resistance.

[0143] When 0.8>K≥0.6, the earthquake resistance of the house is average, and certain engineering measures need to be taken to enhance the earthquake resistance. It is recommended to conduct a comprehensive structural inspection, reinforce key parts, and consider adding shock-absorbing devices to improve the earthquake resistance of the house.

[0144] When 0.6>K≥0.4, the earthquake resistance of the house is poor and there is a great safety hazard. It is recommended to immediately carry out comprehensive earthquake-resistant reinforcement and renovation, including strengthening structural support and adding earthquake-resistant support systems, to ensure the safety of the house in earthquakes.

[0145] When K is less than 0.4, the earthquake resistance of the house is extremely poor, and there are serious safety hazards. Emergency measures must be taken immediately. It is recommended to suspend the use of the house, carry out comprehensive earthquake-resistant reinforcement and renovation, and even consider redesigning and building to ensure the safety and stability of the house.

[0146] Therefore, the present invention provides targeted reinforcement and improvement suggestions for the project by comparing the overall earthquake resistance index of the house with the warning value. Such targeted suggestions make the reinforcement measures more accurate and effective, and can significantly improve the earthquake resistance of the house. At the same time, the monitoring and evaluation method of the present invention is simple to operate and easy to implement, and is suitable for monitoring and evaluating the earthquake resistance of various types of houses, and has strong practicality and promotion value.

[0147] In addition, this method can also achieve long-term tracking and management of the seismic performance of houses through real-time monitoring and regular evaluation, providing strong protection for the safe use of houses.

[0148] Embodiment 2:

[0149] like Figure 3 As shown, this embodiment provides a system for evaluating the seismic performance of a building, the system comprising:

[0150] An acquisition module 11 is used to acquire monitoring data on a housing monitoring unit group on each floor, wherein the monitoring data includes an acceleration signal set, a velocity signal set, and a displacement signal set, wherein the housing monitoring unit group includes a first monitoring unit, a second monitoring unit, a third monitoring unit, and a fourth monitoring unit, wherein the first monitoring unit is arranged at the intersection of the diagonals of the plane where the floor is located, the second monitoring unit is arranged at the intersection of the diagonals of the plane where the wall is located, the third monitoring unit is arranged at the middle of the beam, and the fourth monitoring unit is arranged at the middle of the column;

[0151] A first processing module 12, configured to filter the acceleration signal set and the velocity signal set to obtain an acceleration filter signal and a velocity filter signal;

[0152] The second processing module 13 is used to perform baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal;

[0153] A third processing module 14 is used to calculate the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain the seismic performance index of each floor;

[0154] The fourth processing module 15 is used to solve the seismic performance index of each floor through a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

[0155] It should be noted that, regarding the system in the above embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be elaborated here.

[0156] Embodiment 3:

[0157] Corresponding to the above method embodiment, this embodiment also provides a building seismic performance evaluation device, and the building seismic performance evaluation device described below and the building seismic performance evaluation method described above can refer to each other.

[0158] Figure 4FIG. 8 is a block diagram of a building earthquake resistance performance evaluation device 800 according to an exemplary embodiment. Figure 4 As shown, the building earthquake resistance performance evaluation device 800 may include: a processor 801 and a memory 802. The building earthquake resistance performance evaluation device 800 may also include one or more of a multimedia component 803, an I / O interface 804, and a communication component 805.

[0159] The processor 801 is used to control the overall operation of the housing earthquake resistance performance evaluation device 800 to complete all or part of the steps in the above-mentioned housing earthquake resistance performance evaluation method. The memory 802 is used to store various types of data to support the operation of the housing earthquake resistance performance evaluation device 800, and these data may include, for example, instructions for any application or method operating on the housing earthquake resistance performance evaluation device 800, and application-related data, such as contact data, sent and received messages, pictures, audio, video, etc. The memory 802 can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, disk or optical disk. The multimedia component 803 may include a screen and an audio component. The screen may be, for example, a touch screen, and the audio component is used to output and / or input audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may be further stored in the memory 802 or sent via the communication component 805. The audio component also includes at least one speaker for outputting audio signals. The I / O interface 804 provides an interface between the processor 801 and other interface modules, and the above-mentioned other interface modules can be keyboards, mice, buttons, etc. These buttons can be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the housing seismic performance evaluation device 800 and other devices. Wireless communication, such as Wi-Fi, Bluetooth, Near Field Communication (NFC), 2G, 3G or 4G, or a combination of one or more of them, so the corresponding communication component 805 can include: Wi-Fi module, Bluetooth module, NFC module.

[0160] In an exemplary embodiment, a building seismic performance evaluation device 800 can be implemented by one or more application specific integrated circuits (Application Specific Integrated Circuit, referred to as ASIC), digital signal processors (Digital Signal Processor, referred to as DSP), digital signal processing devices (Digital Signal Processing Device, referred to as DSPD), programmable logic devices (Programmable Logic Device, referred to as PLD), field programmable gate arrays (Field Programmable Gate Array, referred to as FPGA), controllers, microcontrollers, microprocessors or other electronic components, and is used to execute the above-mentioned building seismic performance evaluation method.

[0161] In another exemplary embodiment, a computer-readable storage medium including program instructions is also provided, and when the program instructions are executed by a processor, the steps of the above-mentioned method for evaluating the seismic performance of a house are implemented. For example, the computer-readable storage medium may be the above-mentioned memory 802 including program instructions, and the above-mentioned program instructions may be executed by a processor 801 of a house seismic performance evaluation device 800 to complete the above-mentioned method for evaluating the seismic performance of a house.

[0162] Embodiment 4:

[0163] Corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment. The readable storage medium described below and the building seismic performance evaluation method described above can refer to each other.

[0164] A readable storage medium stores a computer program, which, when executed by a processor, implements the steps of a building seismic performance evaluation method in the above method embodiment.

[0165] The readable storage medium may specifically be a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, or other readable storage medium that can store program codes.

[0166] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0167] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A method for evaluating the seismic performance of a building, characterized in that: include: Acquire monitoring data on a house monitoring unit group on each floor, the monitoring data including an acceleration signal set, a velocity signal set and a displacement signal set, the house monitoring unit group including a first monitoring unit, a second monitoring unit, a third monitoring unit and a fourth monitoring unit, the first monitoring unit being arranged at the intersection of diagonals of a plane where a floor slab is located, the second monitoring unit being arranged at the intersection of diagonals of a plane where a wall is located, the third monitoring unit being arranged at the middle of a beam body, and the fourth monitoring unit being arranged at the middle of a column body; Performing filtering processing on the acceleration signal set and the velocity signal set respectively to obtain an acceleration filtering signal and a velocity filtering signal; Performing baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal; Calculating the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain a seismic performance index of each floor; The seismic performance index of each floor is solved by a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

2. A building seismic performance evaluation method according to claim 1, characterized in that: The acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set are calculated to obtain the seismic performance index of each floor, including: Solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set by using a preset floor performance evaluation model to obtain a comprehensive floor performance index of each floor; Solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set through a preset wall performance evaluation model to obtain a comprehensive wall performance index for each floor; Solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set through a preset beam performance evaluation model to obtain a comprehensive performance index of the beam of each floor; Solving the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set through a preset column performance evaluation model to obtain a comprehensive column performance index for each floor; The comprehensive performance index of the floor slab, the comprehensive performance index of the wall, the comprehensive performance index of the beam and the comprehensive performance index of the column of each floor are solved by a preset single-layer evaluation model to obtain the seismic performance index of each floor.

3. A building seismic performance evaluation method according to claim 2, characterized in that: The acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set are solved by a preset floor performance evaluation model to obtain a comprehensive floor performance index of each floor, wherein the acceleration baseline correction signal includes a first acceleration processing signal, the velocity baseline correction signal includes a first velocity processing signal, the first acceleration processing signal is an acceleration signal after baseline correction for each floor in each floor, the first velocity processing signal is a velocity signal after baseline correction for each floor in each floor, the displacement signal set includes a first displacement signal, the first displacement signal is a displacement signal for each floor in each floor, including: Calculating the first acceleration processing signal using a preset acceleration performance evaluation model to obtain an acceleration performance evaluation factor for each floor slab in each floor; Calculating the first speed processing signal using a preset speed performance evaluation model to obtain a speed performance evaluation factor for each floor slab in each floor; Calculating the first displacement signal using a preset displacement evaluation model to obtain a displacement evaluation factor for each floor slab on each floor; The acceleration performance evaluation factor of each floor slab in each floor, the velocity performance evaluation factor of each floor slab and the displacement evaluation factor of each floor slab are solved by a preset association model to obtain a performance evaluation index of each floor slab in each floor; The performance evaluation index of each floor slab in each floor is solved by using a preset floor slab performance evaluation model to obtain a comprehensive floor slab performance index of each floor.

4. A building seismic performance evaluation method according to claim 3, characterized in that: The acceleration performance evaluation model is: In the above formula, It represents the acceleration performance evaluation factor on the a-th floor slab on the n-th floor; represents the acceleration performance Fourier spectrum corresponding to the first decomposed sub-signal of the first acceleration processing signal on the a-th floor slab of the n-th floor; represents the acceleration performance Fourier spectrum corresponding to the second decomposed sub-signal of the first acceleration processing signal on the a-th floor slab of the n-th floor; The second value of the first acceleration processing signal on the a-th floor plate on the n-th floor L The Fourier spectrum of acceleration performance corresponding to each decomposed sub-signal; represents the acceleration performance response spectrum of the first decomposed sub-signal on the a-th floor slab of the n-th floor, It represents the acceleration performance response spectrum of the second decomposed sub-signal on the a-th floor slab of the n-th floor. Indicates the second L The acceleration performance response spectrum of the decomposed sub-signals.

5. A building seismic performance evaluation method according to claim 3, characterized in that: The preset displacement evaluation model is: In the above formula, represents the displacement evaluation factor of the a-th floor slab on the n-th floor, represents the maximum value of the first displacement signal on the a-th floor slab on the n-th floor, represents the minimum value of the first displacement signal on the a-th floor slab on the n-th floor, h a Indicates the thickness of the a-th floor slab on the n-th floor.

6. A building seismic performance evaluation method according to claim 1, characterized in that: The overall evaluation model is: In the above formula, K represents the overall earthquake resistance index of the house, m represents the total number of floors of the current house, and w n Indicates the preset weight coefficient of the seismic performance index in the nth floor, K n It represents the seismic performance index of the nth floor, where n represents the current floor position and its value range is 1 to m.

7. A building seismic performance evaluation method according to claim 2, characterized in that: The single-layer evaluation model is: In the above formula, K n represents the seismic performance index of the nth floor, K1 represents the weight coefficient of the column, represents the comprehensive performance index of the column on the nth floor, K2 represents the weight coefficient of the beam, represents the comprehensive performance index of the beam on the nth floor, K3 represents the weight coefficient of the floor slab, represents the comprehensive performance index of the floor slab on the nth floor, K4 represents the weight coefficient of the wall, represents the comprehensive performance index of the wall on the nth floor; wherein, the constraints are: K1>K2>K3=K4, and K1+K2+K3+K4=1.

8. A building seismic performance evaluation system, characterized in that: include: An acquisition module is used to acquire monitoring data on a housing monitoring unit group on each floor, wherein the monitoring data includes an acceleration signal set, a velocity signal set, and a displacement signal set, wherein the housing monitoring unit group includes a first monitoring unit, a second monitoring unit, a third monitoring unit, and a fourth monitoring unit, wherein the first monitoring unit is arranged at the intersection of the diagonals of the plane where the floor is located, the second monitoring unit is arranged at the intersection of the diagonals of the plane where the wall is located, the third monitoring unit is arranged at the middle of the beam, and the fourth monitoring unit is arranged at the middle of the column; A first processing module, configured to filter the acceleration signal set and the velocity signal set respectively to obtain an acceleration filter signal and a velocity filter signal; A second processing module, used for performing baseline correction processing on the acceleration filter signal and the velocity filter signal respectively to obtain an acceleration baseline correction signal and a velocity baseline correction signal; A third processing module, used for calculating the acceleration baseline correction signal, the velocity baseline correction signal and the displacement signal set to obtain the seismic performance index of each floor; The fourth processing module is used to solve the seismic performance index of each floor through a preset overall evaluation model to obtain the seismic performance index of the entire building, and the seismic performance index of the entire building is used for engineering seismic guidance.

9. A building seismic performance evaluation device, characterized in that: include: Memory for storing computer programs; A processor is used to implement the steps of a building seismic performance evaluation method as described in any one of claims 1 to 7 when executing the computer program.

10. A readable storage medium, characterized in that: The readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for evaluating the seismic performance of a building as claimed in any one of claims 1 to 7 are implemented.

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