Lightweight ribbed thermal insulation wall seismic performance design method

Abstract

The present application belongs to the technical field of seismic performance-based design of building structure, and relates to a seismic performance-based design method for light ribbed thermal insulation wall. A regression or semi-theoretical relationship between the ductility coefficient, equivalent viscous damping coefficient, ultimate inter-story drift angle, axial compression ratio, wall height-width ratio, panel thickness, rib column number and longitudinal reinforcement ratio of the light ribbed thermal insulation wall is established to construct a multi-parameter performance design atlas. In the design, the target ductility, equivalent damping and displacement angle indexes are given by the seismic fortification intensity and target performance, the parameter combination satisfying the target is back calculated in the five-dimensional design space, and economic optimization is carried out under the premise of meeting the bearing capacity, construction and energy saving requirements, and seismic checking calculation is completed by using a simplified hysteresis model or an equivalent single degree of freedom model. The present application realizes the transformation of light ribbed thermal insulation wall from "empirical construction" to "performance-based parameter design", and can significantly improve the seismic safety and design economy.

Description

Technical Field

[0001] This invention relates to the field of seismic performance-based design technology for building structures, and in particular to a seismic performance-based design method for lightweight ribbed insulated walls, applicable to the engineering design of lightweight self-insulating ribbed walls that simultaneously meet seismic safety and building energy conservation requirements. Background Technology

[0002] With increasingly stringent building energy efficiency standards, lightweight self-insulating shear walls, concealed frame walls, and ribbed composite walls that integrate load-bearing, enclosure, and insulation functions have been widely researched and applied. These walls typically use concrete or lightweight concrete panels on both sides, with an insulation core in the middle, and form an integral load-bearing unit through several longitudinal or vertical ribs. This reduces the structural weight while meeting energy efficiency requirements, and has promising prospects for engineering application.

[0003] Current building seismic design codes and several local performance-based design guidelines have specified limits on inter-story drift angles, equivalent damping ratios, and upper limits on axial compression ratios of structural members. However, these guidelines primarily target traditional reinforced concrete frames, shear walls, or seismic isolation and energy dissipation structural systems, and still mainly rely on "bearing capacity design + structural control." For new types of walls such as lightweight self-insulating ribbed walls, only general requirements or simple analogies are provided. In engineering practice, designers often refer to the axial compression ratio and drift angle limits of general shear walls, making it difficult to quantitatively evaluate the ductility development, stiffness degradation, and energy dissipation capacity of lightweight ribbed insulated walls under different combinations of axial compression ratios, panel thicknesses, aspect ratios, and the number of ribs. This leads to conservative or uncertain designs.

[0004] On the other hand, numerous quasi-static tests and finite element analyses have been conducted on novel wall structures such as self-insulating concealed frame load-bearing walls, ribbed hollow double-panel shear walls, insulated formwork shear walls, and densely ribbed composite walls. These studies systematically examine the effects of factors such as opening arrangement, reinforcement ratio, and rib construction on bearing capacity, ductility, and hysteretic performance. Some published patents also propose densely ribbed composite wall structural systems with multiple seismic defense lines, focusing on improvements in structural construction and stress mechanisms. However, these studies and technical solutions mainly remain at the level of: evaluating seismic performance from the perspective of component or system testing; providing ductility coefficients, energy dissipation capacity, and failure modes under one or more sets of structural parameters; or providing empirical recommendations on displacement angle and axial compression ratio within the framework of codes.

[0005] There is currently no systematic performance-based design method for lightweight ribbed insulated walls that can directly deduce key parameter combinations such as axial compression ratio, wall height-to-width ratio, panel thickness, number of ribs, and longitudinal reinforcement ratio from seismic fortification intensity and performance targets. Existing technologies also lack methods for establishing regression or semi-theoretical relationships between these multiple parameters and ductility coefficients, equivalent viscous damping coefficients, and ultimate inter-story drift angles based on large-scale experiments and limited metadata, and for constructing a five-dimensional design map to achieve a complete process of "performance targets → parameter ranges → design optimization".

[0006] Against this backdrop, it is necessary to propose a seismic performance-based design method for lightweight ribbed insulated walls. On the one hand, by utilizing existing and supplementary experimental and numerical analysis results, the influence of axial compression ratio, height-to-width ratio, panel thickness, number of ribs, and longitudinal reinforcement ratio on ductility and energy dissipation capacity can be quantified at the component level. On the other hand, within the multi-level performance target framework given by the code, the key parameters mentioned above can be selected and optimized in reverse through multi-parameter design charts or calculation programs. This will break through the existing empirical design mode of "bearing capacity + structural measures" and improve the seismic safety and economy of lightweight ribbed insulated walls while meeting energy-saving requirements. Summary of the Invention

[0007] The purpose of this invention is to provide a seismic performance-based design method for lightweight ribbed insulated walls, its implementation system, and storage medium. By establishing multi-parameter performance prediction relationships and a five-dimensional design map, it enables reverse parameter search and multi-objective optimization starting from performance objectives, thereby improving the seismic safety and design economy of lightweight ribbed insulated walls while meeting energy-saving and structural limits.

[0008] To achieve the above objectives, the present invention adopts the following technical solution.

[0009] 1. A seismic performance-based design method for lightweight ribbed insulated walls, comprising:

[0010] S0 Database and Predictive Model Establishment Phase: Through full-scale or scaled-down quasi-static tests, low-cycle cyclic loading tests, and nonlinear finite element analysis, data were collected at different axial compression ratios. Wall height-to-width ratio Panel thickness Number of ribs and longitudinal reinforcement ratio Hysteresis curve, skeleton curve, stiffness degradation law, and ductility coefficient of lightweight ribbed insulation wall under certain conditions Equivalent viscous damping coefficient Ultimate inter-story drift angle Data; preprocess the above data and perform multivariate nonlinear regression or semi-theoretical fitting to establish... The performance prediction relationship is calculated, and based on this, (n, H / B, t_p, n_r, Multi-parameter performance design map in five-dimensional parameter space.

[0011] S1 Engineering Condition Input: Input the seismic fortification intensity and design seismic group of the area where the project is located, the structural system and floor height, vertical load, building energy conservation and insulation requirements, and relevant code limits to form engineering condition data.

[0012] S2 Performance Target Determination: Based on the performance classification requirements of national or local seismic performance-based design codes, such as "no damage in minor earthquakes, repairable in moderate earthquakes, and no collapse in strong earthquakes," and combined with the engineering fortification objectives, determine the yield inter-story drift angle and ultimate inter-story drift angle of the lightweight ribbed insulated wall under different fortification levels. Target ductility coefficient Target equivalent viscous damping coefficient In addition, indicators such as residual deformation and energy consumption.

[0013] S3 Five-Dimensional Design Space Search: Utilizing the aforementioned performance prediction relationships and multi-parameter design graphs, in (n, H / B, ... , , Searching within the five-dimensional design space satisfies The parameter combinations form a feasible design parameter range or parameter set.

[0014] S4 Constraint Check and Multi-Objective Optimization: Within the feasible parameter range, energy-saving insulation requirements, structural limits, and material mechanical property constraints are considered, including ensuring that panel thickness and insulation layer thickness meet heat transfer coefficient limits, rib spacing and quantity meet thermal bridge control and construction requirements, and axial compression ratio does not exceed the corresponding seismic grade limit. A multi-objective optimization model is established with the objectives of minimizing material usage or overall cost and achieving moderate construction complexity. Heuristic algorithms or gradient optimization methods are used to optimize the (n, H / B, ...) parameter range. , , The solution is optimized to obtain the Pareto optimal parameter set, and the recommended engineering solution is selected from it.

[0015] S5 Seismic Verification and Iterative Adjustment: Based on the determined parameters, establish a simplified hysteretic model or equivalent single-degree-of-freedom model of the lightweight ribbed insulated wall. The hysteretic model includes multi-segmented skeleton curves, stiffness and strength degradation rules, and residual deformation model. Perform response analysis under design earthquake and rare earthquake inputs to verify whether the bearing capacity, inter-story drift angle, ductility development, and energy dissipation capacity meet the performance targets. If not, return to S3 to adjust the parameter combination until it meets the requirements.

[0016] 2. Lightweight Ribbed Insulated Wall Structure: The lightweight ribbed insulated wall of this invention comprises: reinforced concrete or lightweight concrete panels on both sides, an insulation core layer in the middle, and several concrete or lightweight concrete ribs arranged along the wall height or length. The ribs are equipped with longitudinal reinforcement and stirrups, and are reliably connected to the panels via shear keys or connectors to form an integral load-bearing unit. The performance prediction relationship and design diagrams are established for this type of self-insulating ribbed composite wall and are applicable to load-bearing exterior walls or perimeter walls of core tubes.

[0017] 3. Seismic Performance-Based Design System: This system provides a seismic performance-based design system for implementing the above methods, comprising: a memory storing a database of lightweight ribbed insulated walls' test data and finite element data, performance prediction relationships, five-dimensional design maps, and multi-objective optimization algorithms; a processor executing computer programs to perform engineering condition input, performance target setting, five-dimensional design space search, constraint checking, multi-objective optimization, seismic verification, and performance evaluation, and outputting recommended design parameter combinations and performance evaluation results; and a user interface displaying design maps, parameter search results, and performance evaluation reports, and receiving adjustments to performance targets and constraints from designers.

[0018] 4. Computer-readable storage medium: The present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the program, when executed by a processor, implements the steps of the above-described performance-based design method for the seismic resistance of lightweight ribbed insulated walls.

[0019] Compared with the prior art, the present invention has at least the following beneficial effects:

[0020] 1. Achieving a reverse design chain from performance targets to parameter selection: Traditional methods for lightweight self-insulating walls primarily rely on load-bearing capacity and structural limits, lacking a parameter reverse-engineering mechanism based on ductility and energy consumption indicators. This invention establishes... , , With n, H / B, , , By establishing explicit or semi-explicit relationships between these relationships, a five-dimensional design map can be constructed, enabling a complete process of "performance target → parameter range → load-bearing capacity and economic optimization," thus making performance-based design of lightweight ribbed insulation walls possible.

[0021] 2. By comprehensively utilizing experimental and finite element results, a predictive model applicable to engineering is formed: Unlike providing empirical suggestions based solely on a single experimental sequence or individual finite element examples, this invention systematically summarizes the results of multi-condition tests and large-scale numerical analysis, and uses multivariate nonlinear regression or semi-theoretical modeling to form a database and predictive model. This improves the reliability of predicting the sluggishness and energy consumption capacity under different parameter combinations, and can significantly reduce the degree of reliance on experience and safety reserves in engineering.

[0022] 3. Balancing seismic performance with building energy conservation and economy: In the parameter search and optimization process, this invention incorporates energy-saving insulation requirements, structural limits and costs into the constraints and objective function, avoiding the situation where only seismic safety is pursued while neglecting insulation performance or cost, which is conducive to the promotion and application of lightweight ribbed insulation walls in high-intensity seismic zones and severe cold and cold regions.

[0023] 4. Facilitates software-based and standardized promotion: Through performance-based design systems and computer programs, the complex five-dimensional design space search, multi-objective optimization, and seismic verification processes are encapsulated into software modules. Designers only need to input engineering conditions and performance objectives to obtain recommended solutions. This facilitates integration with existing building seismic design software and local performance-based design codes, and has good engineering feasibility and promotional value. Attached Figure Description

[0024] The accompanying drawings are used to illustrate the technical solutions of the present invention and are only illustrative diagrams. They do not constitute a limitation on the scope of protection of the present invention.

[0025] Figure 1 This is a schematic flowchart illustrating the overall process of performance-based seismic design for lightweight ribbed insulated walls. The flowchart shows: Engineering Condition Input Unit 101, Performance Target Setting Unit 102, Database Retrieval and Performance Prediction Unit 103, Five-Dimensional Design Space Search Unit 104, Constraint Check Unit 105, Bearing Capacity and Economic Optimization Unit 106, Seismic Verification and Performance Evaluation Unit 107, and Result Output Unit 108. These units are connected sequentially according to the process flow, forming a complete process that starts with engineering conditions and performance targets, proceeds through parameter search and optimization, seismic verification, and finally outputs the wall design parameters.

[0026] Figure 2 This diagram illustrates the process of establishing the performance prediction relationship and design atlas for lightweight ribbed thermal insulation walls. The diagram shows: experimental data acquisition module 111, finite element analysis module 112, data preprocessing module 113, multiple regression and semi-theoretical modeling module 114, design atlas generation module 115, and model verification and updating module 116. Experimental data acquisition module 111 collects wall hysteresis and deformation data under different parameter combinations; finite element analysis module 112 supplements and expands the experimental conditions; data preprocessing module 113 cleans, normalizes, and extracts features from the raw data; and multiple regression and semi-theoretical modeling module 114 establishes... , , The predictive relationship; the design map generation module 115 forms performance isosurfaces and slice maps in the five-dimensional parameter space; the model verification and update module 116 is used to compare new experimental results and iteratively correct the model.

[0027] Figure 3 This diagram illustrates the five-dimensional performance-based design atlas and feasible design domain. The diagram shows: axial compression ratio n (axis 121), wall height-to-width ratio H / B (axis 122), and panel thickness. Shaft 123, number of ribs Axis 124, longitudinal reinforcement ratio Axis 125; target ductility isosurface 126, target equivalent damping isosurface 127, ultimate inter-story drift angle isosurface 128, and feasible design parameter domain 129 formed by the intersection of the three. By giving... , , This allows you to identify the parameter combination region 129 that meets the performance requirements of multiple indicators in the graph.

[0028] Figure 4 This is a schematic diagram of a lightweight ribbed insulated wall structure. The diagram shows: 1. The overall lightweight ribbed insulated wall; 2. A left-side concrete or lightweight concrete panel; 3. A right-side concrete or lightweight concrete panel; 4. An insulation core layer located between the panels; 5. Several ribs arranged along the wall height; 6. Optional horizontal ribs or edge beams; 7. Longitudinal reinforcement within the ribs; 8. Horizontal distributed reinforcement within the panels; 9. Shear keys or connectors connecting the ribs and panels; 10. Wall edge members or end columns; 11. A densely reinforced zone within the edge members; 12. A foundation or floor slab connected to the lower end of the wall; 13. Arrows indicating vertical load action; 14. Arrows indicating horizontal seismic action. This diagram illustrates the basic structural form of the lightweight ribbed insulated wall to which the method of this invention is applicable and the influence of various parameters on the cross-sectional arrangement.

[0029] Figure 5 This is a schematic diagram of the hardware structure of a seismic performance-based design system. The diagram shows: a design server 201, a memory 202, a display terminal 203, a user interface unit 204, a system communication bus 205, a design software program module 206 stored in the memory, and a network interface 207. The design server 201 is connected to the memory 202, the user interface unit 204, and the network interface 207 via the communication bus 205; the display terminal 203 is used to present the engineering condition input interface, the performance target setting interface, the five-dimensional design map view, and the result report; the design software program module 206 runs on the processor to implement... Figure 1 The functional mapping of each functional unit 101 to 108 in the method flow shown. Detailed Implementation

[0030] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the following embodiments are only used to illustrate the present invention and are not intended to limit the scope of protection of the present invention; various equivalent substitutions or modifications can be made by those skilled in the art without departing from the spirit and substance of the present invention.

[0031] I. Example 1: Establishment of Performance Prediction Relationships and Multi-parameter Design Maps

[0032] This embodiment corresponds to Figure 2 , Figure 3 This mainly explains how to establish the performance prediction relationship of lightweight ribbed insulation walls and the five-dimensional performance-based design map.

[0033] 1. Experimentation and Construction of Finite Element Database

[0034] like Figure 2 As shown, the basic database is first constructed through the experimental data acquisition module 111 and the finite element analysis module 112.

[0035] 1.1 Experimental Design and Testing (Module 111)

[0036] Based on the range of commonly used engineering parameters for lightweight ribbed thermal insulation walls, design a matrix of experimental parameter combinations, such as axial compression ratio. : 0.1~0.6, with preferred grades divided into 5~8 levels; wall height-to-width ratio : 1.0~3.0, preferably increasing in increments of 0.5; panel thickness : 40–80 mm, increasing in 10 mm increments; number of ribs : 2 to 6 longitudinal reinforcement bars along the length of the wall; longitudinal reinforcement ratio : 0.5%~2.0%.

[0037] Select several representative groups from the above combinations and fabricate full-scale or scaled-down lightweight ribbed thermal insulation wall specimens. The specimen construction is referenced below. Figure 4 The two side panels 2 and 3 are made of ordinary concrete or lightweight concrete; the middle is provided with an insulation core layer 4; vertical ribs 5 are provided along the wall height, and the ribs are reinforced with reinforcement 7; distributed steel bars 8 are provided in the panels and connected to the ribs 5 by shear keys or connectors 9; edge members 10 are provided at the wall ends and a dense zone 11 is configured.

[0038] A constant vertical pressure was applied to the specimen to simulate vertical load (arrow 13 for vertical load illustration), and a horizontal low-cycle repeated load (arrow 14 for seismic action illustration) was applied to obtain: hysteresis curve; skeleton curve; yield point and ultimate point; stiffness degradation curve; energy dissipation curve.

[0039] After the experiment, the ductility coefficient was extracted from the above data. Equivalent viscous damping coefficient (Based on calculations of cyclic energy dissipation and elastic strain energy); Ultimate inter-story drift angle Indicators such as initial stiffness, yield strength, and peak bearing capacity.

[0040] 1.2 Nonlinear Finite Element Analysis (Module 112)

[0041] To supplement the insufficient experimental conditions, a system was established in finite element analysis module 112 that is compatible with... Figure 4 The corresponding numerical models include: panels 2 and 3, ribs 5, and edge members 10, which use solid elements or fiber section elements; the insulation core layer 4 uses a material model that is mainly thermal and weakly shear-resistant, which can be simulated by reducing stiffness; the reinforcing bars 7 and 8 use embedded or separate reinforcing bar elements; the concrete uses a nonlinear constitutive model that considers cracking, crushing, and stiffness degradation; and the node constraints simulate the connection between the wall and the foundation or floor slab 12.

[0042] Quasi-static analysis was performed according to the experimental loading regime, and the uncovered parameter combinations were expanded (such as a larger aspect ratio, higher or lower longitudinal reinforcement ratio, etc.) to form a covered (n, H / B, , , A numerical database in five-dimensional space.

[0043] 2. Data Preprocessing and Feature Extraction (Module 113): In data preprocessing module 113, the experimental and finite element results are processed uniformly, including: removing outlier and duplicate data; normalizing each parameter according to commonly used engineering dimensions or dimensionless forms; converting the hysteresis curve into a skeleton curve and identifying the yield point, peak point, and limit point; and using a unified algorithm to calculate... , , Extract features related to ductility and energy dissipation, such as unloading stiffness and residual deformation ratio. The processed data is stored in a structured format in a database and labeled with corresponding (n, H / B, ...). , , ) Parameter points.

[0044] 3. Multiple Regression and Semi-Theoretical Modeling (Module 114)

[0045] In the multiple regression and semi-theoretical modeling module 114, the following models are established respectively: , , .

[0046] Specific methods include: selecting a reasonable function form, such as polynomial, exponential, piecewise linear, or response surface function; introducing semi-theoretical terms based on the bending-shear deformation coordination of components, such as decomposing the aspect ratio and bending-shear ductility; using least squares, regularized regression, or machine learning regression algorithms (such as gradient boosting trees) to fit the parameters; and performing cross-validation on the fitting error to ensure that the error in experimental and numerical data is controlled within a predetermined range.

[0047] For example, the following structure can be used (example only): The coefficients and model form obtained from the regression are stored in the database and used as the basis for subsequent design calculations.

[0048] 4. Generation of Five-Dimensional Design Map (Module 115)

[0049] In the design of the atlas generation module 115, with (n, H / B, , , Using as the independent variable, the above predictive relationship is visualized as multidimensional isosurfaces and contour lines, such as... Figure 3 As shown: Set the axial pressure ratio n (axis 121), aspect ratio H / B (axis 122), and panel thickness. Shaft 123, number of ribs Axis 124, longitudinal reinforcement ratio Axis 125; for a given , , In five-dimensional space, draw the ductility isosurface 126, the equivalent damping isosurface 127, and the ultimate displacement angle isosurface 128 respectively; the intersection region of the three is defined as the feasible design parameter domain 129.

[0050] In engineering applications, high-dimensional maps can be reduced to two-dimensional or three-dimensional maps through slicing and projection: such as fixing... , On the (n, H / B) plane, give different... Contour lines; or, with H / B fixed, give (n, On the plane, satisfying and The region. The spectral data can be stored as a table, interpolation grid, or function for quick retrieval by subsequent design calculation programs.

[0051] 5. Model Verification and Update (Module 116)

[0052] In the model verification and update module 116, when new experimental or engineering monitoring data appears: the new data is input into the database and preprocessed again; the error distribution is compared with the calculation results of the original prediction model; when the error exceeds the preset threshold, the model update process is triggered to refit or incrementally update the regression model; the design map data is updated accordingly to ensure that the method has adaptive correction capability over time.

[0053] II. Example 2: Engineering Application Process of Performance-Based Design Method

[0054] This embodiment corresponds to Figure 1 This explains how to use the performance-based design method of this invention in specific engineering projects.

[0055] 1. Engineering Condition Input (Unit 101): Taking a 10-story residential building in an 8-degree seismic fortification zone as an example: Fortification intensity: 8 degrees; Design seismic group, site category, and characteristic period are determined according to the specifications; Structural system: Frame-lightweight ribbed insulated wall composite system, with load-bearing lightweight ribbed insulated wall 1 for the exterior walls; Floor height: 3.0 m, calculated shear wall height H is approximately 3.0 m; Calculated wall width B is 2.0–3.0 m; Vertical load: Axial force design value is obtained by converting the dead load and live load of the upper floors; Building energy conservation requirements: The heat transfer coefficient of the exterior walls meets the local energy conservation standards, for example… The above information is input into the design system via engineering condition input unit 101.

[0056] 2. Performance Target Setting (Unit 102): Based on local performance-based design guidelines and owner requirements, the following targets are set: Under minor earthquakes (frequent earthquakes): the walls should primarily function as elastic structures, with inter-story drift angles not exceeding [a certain value]. Ductility coefficient ~2.0; Under moderate earthquakes (design earthquakes): moderate cracking and repairable damage are permissible, ductility coefficient Take 3.0 to 4.0, equivalent damping Not less than 8% to 10%, inter-story drift angle limit Set according to the standard or slightly relaxed values; Under major earthquakes (rare earthquakes): with the goal of "preventing collapse", the ductility coefficient... Take 4.0 to 6.0, equivalent damping Not less than 12% to 15%, ultimate inter-story drift angle The upper limit of the reference component test. The performance target setting unit 102 organizes the above indicators into a multi-level performance target set for subsequent search.

[0057] 3. Five-Dimensional Design Space Search (Unit 104): Database call and performance prediction unit 103 reads the prediction relationship and design map data established in Example 1. The five-dimensional design space search unit 104 operates according to the following steps: Determine the initial range of parameters, for example: , , , , Within the aforementioned range, perform grid division or generate a large number of candidate points using methods such as Latin hypercube sampling; for each candidate point... ,use , , Calculate the corresponding performance indicators; screen targets for moderate and major earthquakes separately, retaining those that simultaneously meet the requirements. , , The system identifies the parameter points and initially forms a set of feasible design parameters. If there are too few feasible points under a certain design waterproofing level, the system can automatically prompt for appropriate adjustments to the performance targets or parameter ranges.

[0058] 4. Constraint Checking and Multi-Objective Optimization (Units 105, 106): In constraint checking unit 105, further constraint screening is performed on the selected parameter points: Energy saving constraint: based on panel thickness. Calculate the heat transfer coefficient K based on the insulation layer thickness and thermal conductivity, and the requirements are as follows: Construction and structural constraints: The spacing between ribs is determined by the wall length and... The decision should meet the requirements for construction, formwork erection, and thermal bridge control; panel thickness Not less than the minimum value specified in the specifications and product standards; Axial compression ratio and reinforcement limits: Axial compression ratio n does not exceed the limit of the corresponding seismic grade; Longitudinal reinforcement ratio Within the specified range and meeting the minimum and maximum reinforcement ratio requirements, a constrained feasible set is obtained after the above checks. Based on this, the bearing capacity and economic optimization unit 106 is used to construct an optimization model, for example: decision variables: Objective function: The material volume or the consumption per ton of steel or ton of concrete is minimized; Minimal overall cost; optional Minimal construction complexity (e.g., measured by penalizing excessively small rib spacing or excessively large reinforcement ratios); Constraints: Performance constraints: The objectives must be met; energy-saving constraints include K-limit; structural and material constraints include axial compression ratio, reinforcement ratio, and dimensional limits. Multi-objective optimization algorithms (such as NSGA-II and particle swarm optimization) are preferred to search for Pareto optimal solutions. Finally, the system recommends 1-3 parameter schemes based on the designer's priorities (safety first or economy first), for example: Scheme A (safety first): , , , , Option B (Economical Priority): , , , , .

[0059] 5. Seismic Verification and Performance Evaluation (Unit 107): Unit 107 conducts further dynamic response analysis on the above candidate schemes, mainly including: mapping recommended parameters to an equivalent single-degree-of-freedom model or a multi-degree-of-freedom shear model for a single wall; using a simplified hysteresis model; determining the multi-segment skeleton curve, stiffness and strength degradation rules, and residual deformation model based on experimental and numerical results; inputting representative ground motions of frequent, fortification, and rare earthquakes for time history analysis or response spectrum analysis; calculating the inter-story drift angle, residual deformation, hysteretic energy dissipation, and equivalent damping ratio under each fortification level; and comparing each item with the performance objectives to determine whether the objectives such as "no damage in minor earthquakes, repairable in moderate earthquakes, and no collapse in major earthquakes" are met. When a scheme fails to meet the objectives, it can automatically return to the five-dimensional design space search unit 104, adjust the parameters, and re-optimize and verify until a scheme that meets the requirements is obtained.

[0060] 6. Results Output (Unit 108): Result Output Unit 108 organizes the final recommended parameter scheme into design results that can be directly applied to the project, including: the geometric dimensions (H / B, t_p, etc.) of the lightweight ribbed insulation wall for each floor or typical floor; the number and spacing of ribs, reinforcement ratio and specific reinforcement details (corresponding to Example 3); the corresponding ductility coefficient, equivalent damping and ultimate inter-story drift angle; and performance evaluation reports under each waterproofing level. The above results can be exported as reports or interface files with structural design software for subsequent construction drawing design.

[0061] III. Example 3: Construction and Parameter Mapping of Lightweight Ribbed Insulated Wall

[0062] This embodiment corresponds to Figure 4 This explains how to design wall structures using parameters determined according to the method of this invention.

[0063] 1. Overall wall structure and geometric parameters: such as Figure 4As shown, the lightweight ribbed thermal insulation wall in this embodiment is denoted as 1, including: a left panel 2 and a right panel 3, both with a thickness of 1. ; Intermediate insulation core layer 4, thickness determined according to energy-saving calculations; Several vertical ribs 5, quantity as follows Arranged at equal intervals along the wall length; optional horizontal ribs or edge beams 6 are used to reinforce openings or inter-story connections; wall end edge members or end columns 10 connect to the floor slab and beams; the lower end of the wall is integrally cast or reliably connected to the foundation or floor slab 12. Corresponding parameter in the design method: axial compression ratio. The aspect ratio is determined by the vertical load, the cross-sectional area of ​​the ribs and edge members, and the concrete strength; Determined by the floor height H and the calculated width B of the wall segment; panel thickness. : Corresponds to the thickness of panels 2 and 3; number of ribs : Number of vertical ribs corresponding to column 5; longitudinal reinforcement ratio The area of ​​the longitudinal reinforcement 7 in the rib column 5 and the vertical reinforcement of the panel in the effective section is taken into account.

[0064] 2. Rib Column and Panel Reinforcement: In a typical construction: Rib column 5 adopts a rectangular cross-section, for example, 200 mm wide, with a thickness matching the sum of the panel and insulation layer; the longitudinal reinforcement 7 of the rib column is calculated to determine its quantity and diameter to meet the requirements. Requirements and elongation performance requirements; ribbed column stirrups are arranged along the wall height, and the stirrup spacing can be different at the ends and middle to control diagonal cracks and shear failure; horizontally distributed reinforcing bars 8 are arranged in panels 2 and 3, with a spacing of 200 mm to 300 mm, to control panel cracking and assist in the transfer of shear force. The ribbed columns and panels are connected by shear keys or connectors 9, which can be achieved by: pre-installing studs or short steel bars for anchorage during cast-in-place concrete; or by using steel plate connectors, bolt connections, etc. in prefabricated assembly. A densely reinforced zone 11 is set in the wall end edge member 10 to improve end ductility.

[0065] 3. Example construction parameters: Taking Scheme A in Embodiment 2 as an example: Select the aspect ratio. floor height The width of a single wall segment axial compression ratio Panel thickness Number of ribs The rib spacing is approximately 0.35–0.40 m; the longitudinal reinforcement ratio is... Reinforcing steel is then configured according to the cross-section. Based on the above structural arrangement, the ductility coefficient under moderate earthquakes can be obtained from the established prediction model. Or slightly higher; equivalent damping under a major earthquake The above; the ultimate inter-story drift angle satisfies Requirements. This completes the mapping from performance objectives to specific cross-sections and reinforcement details.

[0066] IV. Example 4: Performance-Oriented Design System and Storage Media

[0067] This embodiment corresponds to Figure 5 The software and hardware implementation of the method of the present invention are described in accordance with claims 9 and 10.

[0068] 1. System hardware structure: such as Figure 5 As shown, the performance-based design system of the present invention includes: a design server 201: a core computing unit with a built-in processor and storage resources; a memory 202: for storing experimental and finite element databases, prediction models, design graphs, optimization algorithms, and design software program modules 206; a display terminal 203: for displaying input interfaces, graph views, and result reports; a user interface unit 204: including a keyboard, mouse, or touch screen, for inputting and modifying engineering parameters and performance targets; a system communication bus 205: connecting various hardware modules; and a network interface 207: for accessing remote databases, specification updates, and cloud computing resources.

[0069] 2. Software Functional Module (Program Module 206): The software program module 206 is designed to logically map to the following during processor execution: Engineering Condition Input Module: Implementation Figure 1 The system includes: an engineering condition input unit 101; a performance target setting module 102; and a database call and prediction calculation module 103, which is responsible for calling f_ from memory. f_ f_ The model performs performance index calculations; a five-dimensional space search module (corresponding to unit 104) implements parameter point generation and search algorithms; a constraint checking module (corresponding to unit 105) performs energy saving, structural, and material limit checks; a multi-objective optimization module (corresponding to unit 106) implements multi-objective optimization algorithms; a seismic verification and performance evaluation module (corresponding to unit 107) performs equivalent single-degree-of-freedom or multi-degree-of-freedom model analysis; and a report generation and result output module (corresponding to unit 108) displays results and exports files. These modules can be implemented using an object-oriented approach, and they interact with each other through an internal data bus or message queue.

[0070] 3. Implementation via computer-readable storage medium: The computer-readable storage medium of the present invention can be a physical medium such as a hard disk, solid-state drive, USB flash drive, or optical disk; or a cloud storage medium. The medium stores program instructions for executing the functions of the above modules. When the program runs on the processor of the design server 201, it executes steps S0 to S5 of the seismic performance-based design method for lightweight ribbed insulated walls described in Examples 1 to 3.

[0071] V. Optional Variations and Extensions

[0072] Without departing from the core idea of ​​this invention, the following modifications and extensions can be made:

[0073] 1. Parameter dimension expansion: In addition to n, H / B, , , In addition, factors such as opening ratio, opening location, wall end structure type, and concrete strength grade can be introduced as additional parameters to extend the performance design spectrum to a higher dimension through similar methods.

[0074] 2. Model Form Change: The performance prediction relationship is not limited to the analytical regression model. It can be implemented using machine learning models such as neural networks and random forests. As long as it can provide stable and repeatable numerical prediction results for engineering design, it is considered an equivalent implementation method.

[0075] 3. Adjustment of dynamic analysis accuracy: For important projects, more refined nonlinear time history analysis can be used in the seismic verification stage, or the lightweight ribbed insulated wall can be incorporated into the overall structural model for overall performance analysis. The parameter search and optimization steps of this invention are also applicable.

[0076] 4. Software deployment form: The design system can be a standalone software, a network system with a B / S architecture, or even integrated with mainstream structural design software (such as shear wall design program) through interfaces to achieve an integrated design process.

[0077] Those skilled in the art should understand that various modifications or equivalent substitutions can be made to the above embodiments without departing from the spirit and scope of the present invention, and all such modifications or equivalent substitutions should fall within the scope defined by the claims of the present invention.

Claims

1. A seismic performance-based design method for lightweight ribbed insulated walls, characterized in that, Includes the following steps: S1. Input engineering conditions, including seismic fortification intensity, structural system and floor height, vertical load, building energy conservation and thermal insulation performance requirements; S2. Based on the seismic fortification target and the seismic performance classification of the structure, determine the yield inter-story drift angle and the ultimate inter-story drift angle of the lightweight ribbed insulated wall. Target ductility coefficient Target equivalent viscous damping coefficient and performance indicators such as residual deformation and energy consumption; S3. Utilize pre-established performance prediction relationships for lightweight ribbed insulated walls: Through multi-parameter design of spectra or calculation programs in (n, H / B, , , Searching in the five-dimensional design space to simultaneously satisfy The range of parameter combinations; S4. Under the premise of meeting the constraints of energy saving, thermal insulation, structural limits and material mechanical properties, optimize the load-bearing capacity and economy of the parameter combination to determine the cross-sectional dimensions, reinforcement and material type of the lightweight ribbed thermal insulation wall; S5. Based on the determined parameters, establish an equivalent single-degree-of-freedom model or a simplified hysteresis model of the lightweight ribbed insulated wall, and perform seismic verification calculations on the bearing capacity, inter-story drift angle, stiffness degradation, and energy dissipation capacity under seismic action; if the verification does not meet the performance target, return to step S3 to adjust the parameter combination until the performance target is met.

2. The method according to claim 1, characterized in that, Prior to step S3, the following further includes: S0. A database of lightweight ribbed insulated walls is established through full-scale or scaled-down quasi-static tests, low-cycle repeated loading tests, and nonlinear finite element analysis. Hysteresis curves, skeleton curves, stiffness degradation laws, ductility coefficients, equivalent damping coefficients, and ultimate inter-story drift angles under different axial compression ratios, wall height-to-width ratios, panel thicknesses, number of ribs, and longitudinal reinforcement ratios are obtained through multivariate nonlinear regression or semi-theoretical fitting to form the aforementioned... Relationship.

3. The method according to claim 1 or 2, characterized in that, The lightweight ribbed insulated wall includes: reinforced concrete or lightweight concrete panels on both sides, an insulation core layer in the middle, and several concrete or lightweight concrete ribs arranged along the wall height or length. The ribs and panels are connected by cast-in-place or prefabricated connection to form an integral load-bearing unit. The performance prediction relationship is established for this type of lightweight ribbed insulated composite wall.

4. The method according to any one of the preceding claims, characterized in that, The multi-parameter design graph is based on The relation is in (n, H / B, , , A multidimensional isosurface or isoline map constructed in five-dimensional space, using a given... The feasible region of design parameters that meet the performance target is determined on the design graph. The design graph can be implemented by engineering table lookup or programmatic calling through layered slicing, projection and interpolation.

5. The method according to any one of the preceding claims, characterized in that, Step S3 employs a multi-objective optimization algorithm for parameter search, establishing a mechanism with the objective of minimizing material usage or overall cost, and... An optimization model constrained by axial compression ratio, structural limits, and energy-saving indicators is used to obtain the Pareto optimal solution set of parameter combinations through heuristic algorithms or gradient optimization.

6. The method according to any one of the preceding claims, characterized in that, The energy-saving and thermal insulation performance constraints in step S4 include at least: panel thickness t p Together with the thickness and thermal conductivity of the insulation core material, it meets the heat transfer coefficient limits specified in the building energy efficiency standards. The rib spacing and the number of ribs (n) are also considered. r It meets the requirements for thermal bridge control and construction and installation.

7. The method according to any one of the preceding claims, characterized in that, The simplified hysteresis model described in step S5 includes bilinear or multilinear skeleton curves, stiffness degradation and strength degradation rules, and residual deformation models established based on experimental and finite element results. These models are used to calculate hysteresis energy dissipation, equivalent damping, and inter-story displacement response under design earthquakes and rare earthquakes.

8. The method according to any one of the preceding claims, characterized in that, Also includes: Based on the determined design parameter set of the lightweight ribbed thermal insulation wall, the performance is graded and verified under different waterproofing levels, including three or more performance levels: no damage in minor earthquakes, repairable in moderate earthquakes, and no collapse in major earthquakes. The corresponding inter-story drift angle, residual deformation, and energy dissipation index are output.

9. A seismic performance-based design system for implementing the method according to any one of claims 1 to 8, characterized in that, include: The memory is used to store the lightweight ribbed thermal insulation wall test and finite element database, performance prediction relationships, design diagrams and optimization algorithms; The processor is used to execute computer programs to realize engineering condition input, performance target setting, five-dimensional design space search, parameter optimization and seismic verification, and output recommended design parameter combinations and performance evaluation results for lightweight ribbed insulation walls.

10. A computer-readable storage medium having a computer program stored thereon, the computer program, when executed by a processor, implementing all the steps of the seismic performance-based design method for lightweight ribbed insulated walls according to any one of claims 1 to 8.

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