CN-121808918-B - Simplified elasticity analysis and design method for partition wall structure integrated model

CN121808918BCN 121808918 BCN121808918 BCN 121808918BCN-121808918-B

Abstract

The invention relates to the technical field of building structure engineering, in particular to a simplified elasticity analysis and design method of a partition wall structure integrated model, which provides a simplified elasticity analysis and design method based on a physical mechanism and data driving. The quantitative association of elasticity and nonlinear performance is established, theoretical rigor is guaranteed, engineering practicability is extremely high, and the quantitative association is used as a front part and a supplement of refined nonlinear analysis to form a complete technical system from rapid scheme design to accurate performance verification.

Inventors

ZHAO SHIXING
SHU MENG
LIU JINTAO
ZHANG CONGCONG
Zhu Yueshuang
XIA JING
LUO QIRUI
LIU YUPENG

Assignees

四川省建筑设计研究院有限公司

Dates

Publication Date: 20260508
Application Date: 20260310

Claims (10)

1. The simplified elastic analysis and design method for the integrated model of the partition wall structure is suitable for the simplified elastic analysis and design of an assembled shock-absorbing partition wall structure system, wherein the assembled shock-absorbing partition wall structure system comprises partition walls, frame beams, frame columns and dampers, and is characterized by comprising the following steps: S1, establishing an intelligent calibration-layering weighting model of the equivalent elastic rigidity of the partition wall, decomposing the partition wall rigidity contribution into three key element coefficients of materials, positions and connection structures, performing parameterization analysis, and intelligently calibrating the coefficients based on a machine learning algorithm to form a coefficient table or a simplified formula for direct investigation; S2, the equivalent linear-equivalent damping connected with the damper is subjected to double modes, so that the complex mechanical behavior of the nonlinear damper is equivalently converted into equivalent linear stiffness and equivalent additional damping ratio which can be identified and calculated by elasticity analysis software; s3, constructing an elastic-nonlinear correlation prediction model of the overall performance of the structure, and establishing quantitative correlation between an elastic analysis result and nonlinear performance indexes; s4, integrating design flow and tool box, integrating components comprising a partition wall equivalent stiffness rapid calculator, a damper parameter selection chart, a displacement amplification factor lookup table and a damage level prediction module, judging partition wall structural performance based on input structural basic information, and outputting a design scheme.
2. The simplified elasticity analysis and design method of a partition wall structure integrated model according to claim 1, wherein in S1, key term coefficients are represented by the following formula: ; Wherein, the Contributing to the equivalent elastic stiffness of the partition; 、 the elastic modulus and the section moment of inertia of the partition wall material are respectively; correcting the coefficient for the material; Is a position influence coefficient; is a connection construction coefficient.
3. The simplified elasticity analysis and design method for integrated partition wall structure model according to claim 2, wherein the machine learning algorithm comprises training a predictive model by adopting random forest and support vector regression, and coefficient of the assembled shock absorbing partition wall structure system Intelligent prediction: ; Wherein, the Training a prediction function based on a machine learning algorithm; and forms a coefficient query table and a simplified formula suitable for different engineering conditions for query.
4. The simplified elasticity analysis and design method of a partition wall structure integrated model according to claim 1, wherein in S2, the equivalent linear stiffness is based on the initial stiffness of the nonlinear damper And the expected displacement amplitude Definition of equivalent stiffness in elastography : ; Wherein, the The damper is displaced in a sliding way; is the stiffness of the damper after sliding.
5. The simplified elasticity analysis and design method for a partition wall structure integrated model according to claim 4, wherein in the aspect of the equivalent additional damping ratio in the step S2, based on a hysteresis curve of a nonlinear damper, an equivalent viscous damping ratio corresponding to the energy consumption capacity of the nonlinear damper is deduced through an energy analysis method of the equivalent additional damping ratio : ; Wherein, the The friction coefficient is the friction interface of the damper; A normal pre-tightening force applied to the friction surface of the damper; The energy consumed by the damper in a hysteresis cycle; Is the maximum elastic strain energy at which the structure corresponds to the maximum displacement delta.
6. The simplified elasticity analysis and design method of a partition wall structure integrated model according to claim 5, wherein in S3, a quantitative association between the elasticity analysis result and the nonlinear performance index is established, and the nonlinear performance is predicted by the elasticity analysis, including displacement prediction and damage prediction.
7. The simplified elasticity analysis and design method of a partition wall structure integrated model according to claim 6, wherein in S3, regarding displacement prediction, a displacement amplification coefficient spectrum is obtained by statistical regression based on a large number of nonlinear time-course analysis results : ; Wherein T is the structural period; a. b and c are coefficients determined by statistical regression analysis; Analyzing displacement for elasticity; Is a nonlinear displacement.
8. The simplified elasticity analysis and design method of integrated partition wall structure model according to claim 6, wherein in S3, with respect to damage prediction, a model of association between elasticity response parameters and partition wall damage level is established by machine learning algorithm : ; Wherein, the () A prediction function which is obtained based on machine learning algorithm training and is used for predicting the damage level; Is the predicted injury level; Is the maximum interlayer displacement angle; shear to the substrate.
9. The simplified elasticity analysis and design method for integrated partition wall structure model according to claim 7 or 8, wherein in S4, the coefficients of the assembled shock absorbing partition wall structure system are determined based on the input structural basic information Then calculate the equivalent rigidity of the partition wall An elastic analysis model is established, and then equivalent rigidity of the damper is added And equivalent viscous damping ratio And carrying out modal analysis and reaction spectrum analysis to obtain an elastic corresponding result, then applying a management model to predict nonlinear performance, and finally judging whether the performance meets the standard.
10. The simplified elasticity analysis and design method of a partition wall structure integrated model according to claim 9, wherein when the performance is judged to be up to standard, the design scheme is output, and when the performance is judged to be not up to standard, the parameters are adjusted and the coefficient of the assembled shock absorbing partition wall structure system is determined again 。

Description

Simplified elasticity analysis and design method for partition wall structure integrated model Technical Field The invention relates to the technical field of building structure engineering, in particular to a simplified elasticity analysis and design method of a partition wall structure integrated model, which is particularly suitable for the existing building reinforcement engineering in high-rise buildings, public buildings with strict requirements on earthquake fortification and city updating. Background The impact of non-load bearing partitions such as masonry infill walls, ALC wall panels, etc. has been a critical and complex problem in the seismic analysis and design of building structures, particularly frames and frame shear structures. Conventional design methods typically employ a "period reduction factor" to empirically consider the contribution of the partition to the overall stiffness of the structure. For example, the current technical regulations for high-rise building concrete structures provide that the cycle reduction coefficient of the frame structure is 0.6-0.7, the frame-shear wall structure is 0.7-0.8, the frame-core tube structure is 0.8-0.9, and the shear wall structure is 0.8-1.0. The method is simple and convenient, but has the fundamental defects that firstly, the method is a macroscopic and general experience coefficient, the actual spatial distribution of the partition wall in the structure, the nonlinear mechanical property of the partition wall and the complex interaction mechanism between the partition wall and a main structure cannot be reflected, so that a calculation model has obvious deviation from an actual dynamic response, particularly, the error in an elastoplastic stage is larger, secondly, along with the promotion of building industrialization, various light and high-performance assembled partition walls are widely applied, the material performance and the connection mode of the partition walls and the main body are greatly different from those of the traditional masonry, so that the applicability of the experience coefficient based on the statistics of the traditional masonry is suspected, and the design tends to be conservative or unsafe. In terms of construction measures, in order to mitigate the shock hazard of the partition wall, many improvements have been tried in the industry, such as providing a flexible connection at the wall top, using a lightweight material, or providing control slits, etc. These methods alleviate the damage of the partition wall itself to some extent, but fail to fundamentally solve the problems that the stiffness contribution is difficult to quantify and the cooperative working mechanism with the main structure is not clear in an earthquake. In recent years, although research is attempted to build or connect an energy dissipation device in a partition wall, the design is mostly based on a simplified calculation or an experiment of an isolated component, and the energy dissipation device cannot be accurately estimated due to the fact that the energy dissipation device cannot be placed in an integral structure for integrated collaborative analysis and optimization, and the fine design based on performance is more difficult to realize. Meanwhile, a part of the existing schemes can use nonlinear simulation to design, and although the precision is high, the calculation is complex, the time consumption is long, and efficiency bottlenecks exist in the popularization and application of the engineering preliminary design or the conventional projects. Meanwhile, the current mainstream design flow and specification are still generally based on the elastic analysis theory, and how to quickly and accurately evaluate the performance of the partition wall system in the early design stage and seamlessly connect with the current specification system becomes a new challenge. Disclosure of Invention The invention aims to provide a simplified elastic analysis and design method of a partition wall structure integrated model aiming at the problems. The technical scheme adopted by the invention is that the simplified elasticity analysis and design method of the partition wall structure integrated model is suitable for the simplified elasticity analysis and design of an assembled shock-absorbing partition wall structure system, wherein the assembled shock-absorbing partition wall structure system comprises partition walls, frame beams, frame columns and dampers, and comprises the following steps: S1, establishing an intelligent calibration-layering weighting model of the equivalent elastic rigidity of the partition wall, decomposing the partition wall rigidity contribution into three key element coefficients of materials, positions and connection structures, performing parameterization analysis, and intelligently calibrating the coefficients based on a machine learning algorithm to form a coefficient table or a simplified formula for direct investigation; S2,