CN-122020819-A - Earthquake-resistant toughness assessment method for medium-large railway passenger station building

Abstract

The invention discloses a method for evaluating the earthquake resistance and toughness of a medium-and-large-sized railway passenger station room, which adopts an engineering demand parameter matrix expansion algorithm based on FEMA-P58 and a toughness index calculation algorithm based on Yu Mengte Carlo sampling simulation, and formulates a post-earthquake repair strategy of 'first structure, second enclosure and electromechanical', so as to form a toughness evaluation grade determination based on repair time and a post-earthquake function recovery simulation, finally realize quantitative evaluation of the earthquake resistance and toughness of the medium-and-large-sized railway passenger station room, and improve the feasibility and accuracy of the earthquake resistance and toughness evaluation of the railway passenger station.

Inventors

• MA XIAOPING
• ZHANG HAI
• Fan Diejiang
• LIU YUYU
• HAN CHAO
• CAI YUJUN
• LIU MINGLIANG
• DUAN XIBIN
• SUN JIANLONG
• LI HUI
• LI TIEZHU
• LI MINGTAO

Assignees

• 中铁第一勘察设计院集团有限公司

Dates

Publication Date

20260512

Application Date

20260413

Claims (10)

1. 1. The method for evaluating the earthquake-resistant toughness of the medium-and-large-sized railway passenger station building is characterized by comprising the following steps of: Acquiring a railway passenger station room engineering demand parameter matrix based on finite element analysis of a railway passenger station room under an earthquake working condition, and expanding and checking the railway passenger station room engineering demand parameter matrix to acquire an expanded engineering demand parameter matrix; based on a railway passenger station building information model BIM, acquiring railway passenger station building information model data comprising station building components or equipment quantity, station room area and engineering quantity; constructing a vulnerability parameter database of railway passenger station building components or equipment, wherein the vulnerability parameter database comprises expected values and variances of engineering demand parameters corresponding to different components or equipment in different damage states; Making a post-earthquake repair strategy of 'first structure, post-enclosure and electromechanical', namely sequentially repairing structural members and vertical traffic members, an enclosure structure and a water supply and drainage system, a heating ventilation air conditioning system and electric power, main signal equipment and secondary signal equipment in 4 stages; calculating toughness assessment indexes including repair time and post-earthquake functions of a railway passenger station house by using a Monte Carlo simulation function based on a formulated post-earthquake repair strategy according to the expanded engineering demand parameter matrix, building information model data and a vulnerability parameter database; Based on the obtained toughness evaluation index, fitting and establishing a post-earthquake function recovery function model which changes along with the repair time, drawing a post-earthquake function recovery curve, calculating an earthquake resistance toughness index according to the area of the post-earthquake function recovery curve obtained by integration, and dividing an earthquake resistance toughness evaluation grade according to the earthquake resistance toughness index.
2. 2. The method for evaluating the earthquake-resistant toughness of the medium-and-large-sized railway passenger station building according to claim 1, wherein the method for acquiring the railway passenger station building engineering demand parameter matrix based on the finite element analysis of the railway passenger station building under the earthquake working condition comprises the following steps: After calculation, extracting the interlayer displacement angle and floor peak acceleration of each floor under each earthquake working condition, and constructing a railway passenger station room engineering demand parameter matrix Wherein m is a row of the matrix, each row corresponds to an earthquake working condition, n is a column of the matrix, each column corresponds to an engineering demand parameter, and the engineering demand parameter comprises an interlayer displacement angle and floor peak acceleration of each floor.
3. 3. The method for evaluating the earthquake-resistant toughness of a medium-and-large-sized railway passenger station building according to claim 2, wherein the method comprises the steps of expanding and checking the engineering demand parameter matrix of the railway passenger station building to obtain the expanded engineering demand parameter matrix, and specifically comprises the following steps: reading an original engineering demand parameter matrix ; Calculating an original engineering demand parameter matrix Covariance matrix of (2) Average matrix ; Calculating covariance matrix Rank R, eigenvalue matrix of (V2) Feature vector matrix ; Dividing eigenvalue matrix according to rank R Feature vector matrix Obtaining And Further matrix the segmented eigenvalue Square-open conversion to diagonal arrays ; Determining the expansion times x to generate a dimension as Independent standard normal random variable matrix of (2) And according to the mean matrix Generating a dimension as Mean spread matrix of (a) ; Calculating the extended engineering demand parameter matrix according to the following method : 。
4. 4. A method for evaluating earthquake-resistant toughness of a large-sized railway passenger station building as claimed in claim 3, wherein based on the railway passenger station building information model BIM, obtaining railway passenger station building information model data including the number of station building components or devices, the area of station room and the engineering quantity specifically comprises: The station building component or apparatus comprises: The structural members comprise reinforced concrete frame columns, reinforced concrete frame beams, reinforced concrete shear walls, reinforced concrete connecting beams, steel structure columns, steel support members, steel concrete columns, steel concrete beams, steel net frames and steel trusses; Displacement sensitive non-structural components including infill walls, glass curtain walls, stairways; Acceleration sensitive non-structural components, including suspended ceilings, elevators, suspended lamps, switch equipment, distribution boxes, water supply pipes, fire-fighting spray water pipes, spray head vertical pipes, heating ventilation air-conditioning air pipes, air inlets, heating ventilation air-conditioning fans and air-conditioning system fans; Professional equipment includes battery cabinets, cable systems, IFS cabinets, IFSI cabinets, ISFS cabinets, ISFSI cabinets, IRC cabinets, ISRC cabinets, train control cabinets, CTC cabinets, interlocking cabinets, RBC cabinets, TSRS cabinets.
5. 5. The method for evaluating the earthquake-resistant toughness of a medium-and-large-sized railway passenger station building according to claim 4, wherein a post-earthquake repair strategy of' first structure, second enclosure and electromechanical machine is formulated, namely, structural members and vertical traffic members, enclosure structures and water supply and drainage systems, heating ventilation and air conditioning systems and electric power and main signal equipment and secondary signal equipment are sequentially repaired in 4 stages, and the method specifically comprises the following steps: The structural member and the vertical traffic member comprise reinforced concrete frame columns, reinforced concrete frame beams, reinforced concrete shear walls, reinforced concrete connecting beams, steel structure columns, steel support members, steel reinforced concrete columns, steel reinforced concrete beams, steel net racks, steel trusses, stairs and elevators; the enclosure structure and the water supply and drainage system comprise a filling wall, a glass curtain wall, a suspended ceiling, a water supply pipe, a fire-fighting spray water pipe and a spray head vertical pipe; The heating ventilation air conditioning system and the electric power and main signal equipment comprise a suspension type lamp, a switch device, a distribution box, an air port, a heating ventilation air conditioning duct, a heating ventilation air conditioning fan, an air conditioning system fan, a battery cabinet, a cable system, a ISFS cabinet, an ISFSI cabinet, an ISRC cabinet, a train control cabinet, a CTC cabinet, an interlocking cabinet, a RBC cabinet and a TSRS cabinet; the secondary signal equipment comprises an IFS cabinet, a IFSI cabinet and an IRC cabinet.
6. 6. The method for evaluating the earthquake-resistant toughness of a large-sized railway passenger station room according to claim 5, wherein the method for evaluating the toughness of the railway passenger station room comprises the steps of calculating toughness evaluation indexes comprising repair time and post-earthquake functions by utilizing Monte Carlo simulation functions based on a formulated post-earthquake repair strategy and according to an expanded engineering demand parameter matrix, building information model data and a vulnerability parameter database, and calculating fitting values of the indexes according to specified confidence, and specifically comprises the following steps: Step A, defining the number of damaged members or devices Floor index for storing the number of damaged members or devices on each floor and having an initial value of 0, and initializing the inter-floor displacement angle and floor peak acceleration 、 Are all 0; step B, traversing the expanded engineering demand parameter matrix line by line Obtaining the values of the ith row and the jth column, namely ; Step C, if For the inter-floor displacement angle, the current floor component or equipment number is traversed and screened "Structural component" or "displacement-sensitive non-structural component", if any For peak acceleration of floors, the number of building elements or devices on each floor is selected by traversal An "acceleration-sensitive non-structural component" or a "professional device" in (a); step D, if the number of the members or devices on the current floor is not 0 after screening, circularly traversing the damage state of the corresponding members or devices, and calculating the lognormal cumulative distribution probability of the p-th member or device in the D-th damage state according to the norm cdf function of Python Scipy library The following formula is shown: ; Wherein, the Is the expected value of the p-th component or equipment in the d-th damage state in the vulnerability parameter database F; the variance value of the p-th component or equipment in the vulnerability parameter database F in the d-th damage state; step E, determining the number of p-th components or devices of the current layer Repeated random sampling Generating a random number r between 0 and 1 every time, and determining the number of p-th components or equipment in each damage state according to a probability interval in which the random number falls; Step F, if For the layer displacement angle, then update Middle (f) The number of the p-th component or equipment in the d-th damaged state and updating the floor index Repeating the steps B-E if Is floor peak acceleration, then update Middle (f) The number of the p-th component or equipment in the d-th damaged state and updating the floor index Repeating the steps B-E; And G, calculating the repair time, repair cost, casualties and post-earthquake functions of the railway passenger station room under the sampling result, and returning the calculation result.
7. 7. The method for evaluating earthquake-resistant toughness of a medium-and-large-sized railway passenger station building according to claim 6, wherein in the step E, probability interval division is specifically as follows: If probability of Containing 4 elements, the damage state of the member is 4 kinds, then Indicating no damage ; Indicating slight damage ; Representing moderate injury ; Indicating severe injury ; Indicating complete destruction ; If it is Containing 3 elements, the damage state of the member is 3 kinds, then Indicating no damage ; Indicating slight damage ; Representing moderate injury ; Indicating severe injury ; If it is Containing 2 elements, the damage state of the member is indicated as being of the class 2, then Indicating no damage ; Indicating slight damage ; Indicating severe injury ; If it is Containing 1 element, the damaged state of the component is 1 class, then Indicating no damage ; Indicating severe injury 。
8. 8. The method for evaluating the earthquake-resistant toughness of a medium-and-large-sized railway passenger station building according to claim 6, wherein in the step G, the concrete steps of calculating the repair time are as follows: g1, reading number of damaged members or devices Determining component or equipment repair man-hour Q, number of workers Q required to repair individual components or equipment, station room area a, and repair cost reduction factor ; G2, firstly, calculating the total time T 1 for completing the repair work of the 1 st stage, which is specifically as follows: Firstly, calculating the required number of workers for repairing the k-layer vertical traffic component And total time of work The repair time is obtained by dividing the total working time by the required number of workers Wherein P is the P-th component or equipment, P is the total number of component or equipment types, D is the D-th damage state, D is the total number of damage state types, K is the K-th floor, and K is the total floor number; The number of workers required to repair the p-th type component or device; The number of the kth layer p-th components or devices in the d-th damaged state; repair man-hour of the p-th component or equipment in the d-th damaged state; calculating the maximum allowed number of workers 0.026A (k), the required number of workers 0.02A (k), and the total time for repairing the structural member On the premise that the sum of the required number of workers for repairing the structural member and the required number of workers for repairing the vertical traffic member is not more than the maximum allowed number of workers on the floor, the time for repairing the structural member is obtained by dividing the total working time by the required number of workers ; Comparing and extracting And As the total length of time for repairing structural and vertical traffic components Further, the total time for completing the repair work of the 1 st stage is Is marked as Wherein Repairing the total duration of the structural member and the vertical traffic member for the kth layer; the maximum value in the total repair work time length of the stage 1 is the maximum time required for repairing the whole station building structural member and the vertical traffic member; G3, then calculating the total time to complete the repair work at stages 1 and 2 The method is characterized by comprising the following steps: Calculating the required number of workers 0.01A (k) and total time for repairing the k-th layer of building envelope and water supply and drainage system The repair time is obtained by dividing the total working time by the required number of workers Further, the total time for completing the repair work of the 1 st and 2 nd stages is obtained as Is marked as Wherein, the method comprises the steps of, The maximum value in the total repair work time length of the 2 nd stage is the maximum time required by repairing the whole station building enclosure structure and the water supply and drainage system; The maximum value in the total repair work time length of the 1 st stage and the maximum value in the total repair work time length of the 2 nd stage are added, namely the maximum time required by repairing the whole station building structural member, the vertical traffic member, the building envelope and the water supply and drainage system; g4, recalculate the total time to complete the repair work at stages 1, 2 and 3 The method is characterized by comprising the following steps: Firstly, calculating the required number of workers for repairing k-th layer power and main signal equipment And total time of work Dividing the total working time by the required number of workers to obtain repair time T 3_eq (k); calculating the maximum allowed number of workers 0.026A (k) for repairing the kth layer, the required number of workers 0.01A (k) for repairing the heating, ventilation and air conditioning system and the total working time for repairing the heating, ventilation and air conditioning system On the premise that the sum of the number of workers required for repairing the heating, ventilation and air conditioning system and the number of workers required for repairing electric power and main signal equipment does not exceed the maximum allowed number of workers on the floor, the time for repairing the heating, ventilation and air conditioning system is obtained by dividing the total working hours by the number of workers required ; Comparative extraction And As a total length of time for repairing heating, ventilation and air conditioning systems and power and primary signal devices Further, the total time for completing the repair work of the 1 st, the 2 nd and the 3 rd phases is obtained as follows Is marked as Wherein, the method comprises the steps of, The maximum value in the total repair work time length of the 3 rd stage is the maximum time required by repairing the whole station room heating, ventilation and air conditioning system, the electric power and main signal equipment; The maximum value in the total repair work time length of the 1 st stage, the maximum value in the total repair work time length of the 2 nd stage and the maximum value in the total repair work time length of the 3 rd stage are added, namely the maximum time required by repairing the whole building structure component and the vertical traffic component, the building enclosure and the water supply and drainage system, the heating, ventilation and air conditioning system and the electric power and main signal equipment; G5, finally calculating the total time T 4 for completing the repair work of the 1 st, 2 nd, 3 rd and 4 th phases, specifically as follows: calculating the required number of workers for repairing k-th level signal equipment 0.01A (k) and total time of labor The repair time is obtained by dividing the total working time by the required number of workers Further, the total time for completing the repair work of the 1 st, 2 nd, 3 rd and 4 th phases is obtained as Is marked as Wherein, the method comprises the steps of, The maximum value in the total working time length of the repairing of the stage 4 is the maximum time required for repairing the secondary signal equipment of the whole station building; The total time length of the repair work of the 1 st stage, the total time length of the repair work of the 2 nd stage, the total time length of the repair work of the 3 rd stage and the total time length of the repair work of the 4 th stage are the sum of four maximum values, namely the maximum time required by repairing the structural members and the vertical traffic members of the whole station building, the enclosing structure, the water supply and drainage system, the heating ventilation and air conditioning system, the electric power, the main signal equipment and the secondary signal equipment; G6, returning to the repair time length of each stage 、 、 、 。
9. 9. The method for evaluating the earthquake resistance and toughness of a medium and large railway passenger station building according to claim 8, wherein in the step G, the specific steps of calculating the function after earthquake are as follows: Reading the number of building blocks or devices on each floor Reading corresponding expected values in vulnerability parameter libraries of various components or equipment The function loss reduction coefficient of the p-th component or equipment in the d-th damage state is Denoted as alpha, wherein The expected value of the vulnerability parameter of the p-type component or equipment in the D-type damage state is shown, D is the damage state index corresponding to the component or equipment when the component or equipment is damaged and fails, and the damage state index is related to the type of the component or equipment; Is the expected value of the p-th component or equipment in the d-th damage state; Reading the number of damaged members or devices Number of floor members or devices Calculating damage probability of components or equipment under each damage state Is marked as Further calculate the building function at the moment after earthquake Is marked as Wherein, the method comprises the steps of, The number of the kth layer p-th components or devices in the d-th damaged state; the number of p-th members or devices for the kth layer; a reduction coefficient for the functional loss of the p-th component or device in the d-th damaged state; The damage probability of the kth layer p-th component or equipment in the d-th damage state at the postearthquake moment; Number of k-th layer members or devices; copying P r0 , updating damage probability corresponding to structural member and vertical traffic member, if the damage state is The update damage probability is 1, otherwise, the update damage probability is 0, and the new list is marked as Further calculate the building function after the 1 st repair stage And is denoted as F s1 , wherein, The damage probability of the kth layer p-th component or equipment in the d-th damage state after the structural component and the vertical traffic component is repaired; Copying P r1 , updating damage probability corresponding to the enclosure structure and the water supply and drainage system, if the damage state is The update damage probability is 1, otherwise, the update damage probability is 0, and the new list is marked as Further calculate the building functions after the 1 st and 2 nd repair phases are completed Is marked as Wherein, the method comprises the steps of, The damage probability of the kth layer p-th component or equipment in the d-th damage state after the complex structural component, the vertical traffic component, the enclosing structure and the water supply and drainage system is given; Replication Updating damage probability corresponding to the heating ventilation air conditioning system, the electric power and the main signal equipment, if the damage state is The update damage probability is 1, otherwise, the update damage probability is 0, and the new list is marked as Further calculate the building functions after the 1 st, 2 nd and 3 rd repair stages are completed Is marked as Wherein, the method comprises the steps of, The damage probability of the kth layer p-th component or equipment in the d-th damage state after repairing the structural component and the vertical traffic component, the enclosing structure and the water supply and drainage system, the heating ventilation and air conditioning system and the electric power and main signal equipment; Replication Updating the damage probability corresponding to the secondary signal equipment, if the damage state is The update damage probability is 1, otherwise, the update damage probability is 0, and the new list is marked as Further calculate the building functions after the 1 st, 2 nd, 3 rd and 4 th repair stages are completed Is marked as Wherein, the method comprises the steps of, The damage probability of the kth layer p-th component or equipment in the d-th damage state after repairing the structural component and the vertical traffic component, the enclosing structure and the water supply and drainage system, the heating ventilation and air conditioning system and the electric power and main signal equipment and the secondary signal equipment; Back post-earthquake function 、 、 、 、 。
10. 10. The method for evaluating the earthquake resistance and toughness of a medium and large railway passenger station building according to claim 9, wherein the method for evaluating the earthquake resistance and toughness of the medium and large railway passenger station building is characterized by fitting and establishing a post-earthquake function recovery function model which changes along with the repair time based on the obtained toughness evaluation index, drawing a post-earthquake function recovery curve, calculating an earthquake resistance and toughness index according to the area of the post-earthquake function recovery curve obtained by integration, and dividing an earthquake resistance and toughness evaluation grade according to the earthquake resistance and toughness index, and specifically comprises the following steps: Reading repair time And post-earthquake function And determine downtime ; Defining a nonlinear post-earthquake function recovery function model taking into account downtime effects The following are provided: ; drawing a post-earthquake function recovery curve according to the established function recovery function model, obtaining the area of the post-earthquake function recovery curve through integration, and obtaining an earthquake resistance toughness index R through normalization processing; Determining the earthquake resistance and toughness evaluation grade of a railway passenger station house according to the earthquake resistance and toughness index R, if The evaluation grade is excellent, if The evaluation grade is good, if The evaluation level is medium; the evaluation grade is worse, if The evaluation grade is extremely bad.

Description

Earthquake-resistant toughness assessment method for medium-large railway passenger station building Technical Field The invention relates to the technical field of building structure monitoring and evaluation, in particular to a method for evaluating earthquake-resistant toughness of a medium-large railway passenger station room. Background The medium-large railway passenger station house is used as a key node in a transportation network, plays an important role in the aspects of personnel flow, material transportation, train scheduling and the like, and is particularly critical in the function guarantee after earthquake and disaster relief. Historical jolts have shown that once a passenger station is compromised, it can lead to long interruptions in transportation service and serious economic and social consequences. Therefore, in order to ensure the post-earthquake rescue function of the railway passenger station building, the disaster chain effect caused by the interruption of the post-earthquake function is reduced, and the station building must have enough anti-earthquake toughness. Currently, a number of standard specifications have been used for seismic toughness assessment of typical residential buildings, including FEMA-P58, REDi rating system, USRC building rating system, building seismic toughness assessment criteria (GB/T38591-2020). However, it should be noted that the standard specifications described above are mainly applicable to typical civil buildings, and for buildings with special functions such as railway passenger stations, hospitals, substations, etc., these standards cannot be directly applied to quantitative analysis of the seismic toughness thereof. Therefore, in consideration of the specificity of the building functions, in recent years, students at home and abroad have further developed studies on a method for evaluating the anti-seismic toughness of a building having a specific function. The research results lay a solid foundation for evaluating the anti-seismic toughness of the conventional building structure and the building structure with specific functions. However, the railway station has unique building structural characteristics, function supporting equipment, a complex function level transmission mechanism and a post-earthquake recovery process, so that the existing toughness assessment method is difficult to be suitable for the earthquake-resistant toughness assessment of the railway station. On the one hand, the special database and the recovery strategy are missing, and the evaluation basis is weak, namely the existing evaluation system lacks a vulnerability database aiming at special components (large-span steel net frame, steel reinforced concrete column and the like) and professional equipment (such as a signal system, a power supply system and the like) of a railway passenger station, and also lacks a standardized function recovery strategy and a resource scheduling model which accord with the operation and maintenance characteristics of the special database, so that the evaluation lacks accurate input and credible basis. On the other hand, the core evaluation flow is complex, the function dependency relationship is characterized as being insufficient, the process of generating, expanding and checking the engineering demand parameter matrix is complex, and the complex level dependency and transfer relationship between the structure and the equipment and the function in the railway passenger station are difficult to quantitatively simulate by the existing method, so that the evaluation chain from the damage of the components to the loss of the system function is broken, and the accuracy of the overall toughness evaluation is affected. Disclosure of Invention The application provides a method for evaluating earthquake-resistant toughness of a station room of a large-sized railway passenger, which aims to solve the problem that the existing toughness evaluation method is difficult to be applied to earthquake-resistant toughness evaluation of a railway station. In order to achieve the above purpose, the technical scheme adopted by the invention is as follows: The method for evaluating the earthquake-resistant toughness of the medium-large railway passenger station building comprises the following steps: Acquiring a railway passenger station room engineering demand parameter matrix based on finite element analysis of a railway passenger station room under an earthquake working condition, and expanding and checking the railway passenger station room engineering demand parameter matrix to acquire an expanded engineering demand parameter matrix; based on a railway passenger station building information model BIM (Building Information Modeling, building information model), obtaining railway passenger station building information model data comprising the number of station building components or equipment, the area of station building rooms and the engineering quantity; co