CN113449401A - Tower crane counter-force identification method - Google Patents
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Abstract
The invention relates to a tower crane counterforce identification method, which comprises the following steps: establishing a tower crane monitoring point stress vector and a tower crane counterforce vector based on the tower crane attachment structure parameters; determining the combination of the tower crane foundation load and the working condition based on the force transfer characteristic of the tower crane attachment structure; acquiring a mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane matched with different working conditions based on the simulated attachment structure; processing the acquired real-time monitoring data based on wavelet analysis; and identifying the counter force of the tower crane in real time based on the processed real-time monitoring data and the mapping incidence matrix. The method has the advantages of combining the real-time performance of monitoring data, assisting finite element simulation software, acquiring stress information and counter force information of the tower crane attachment structure, calculating the counter force of the tower crane and ensuring the construction precision.
Description
Technical Field
The invention belongs to the technical field of civil engineering, and particularly relates to a tower crane counterforce identification method.
Background
With the development of modern society, the construction of large civil engineering structures is changing day by day, and the construction of super high-rise structures is also becoming more and more extensive. In the construction of high-rise structures, a tower crane is generally adopted for hoisting components, and the tower crane counter force is a construction load which cannot be ignored for super high-rise structures which do not form a complete structural system in the construction process. If real-time tower crane counter force can not be identified in the construction process, structural response under the tower crane work is not clear, errors can be generated when the construction configuration change of the structure is judged and the construction installation position of a component is determined, and further the quality of a building is affected.
In order to obtain the counter force of the tower crane, one technology in the prior related technology is to calculate the tower crane body as a continuous beam, and then the tower crane body enters an attachment structure to perform counter force distribution after obtaining the support counter force of the continuous beam so as to obtain the counter force of the most unfavorable working condition; the other technology is to monitor the vertical support of the tower crane, so that brittle failure at the joint of the support is avoided, the method only ensures the stress safety of the support at the bottom of the tower crane, and the influence on the horizontal configuration of the structure in the working process of the tower crane cannot be obtained.
Therefore, how to provide a more comprehensive and reliable identification method to ensure the construction precision of the structural member has become an urgent technical problem to be solved.
Disclosure of Invention
In order to solve the problems of incomplete identification method and low construction precision in the prior art, the invention provides a tower crane reaction force identification method which has the characteristics of higher construction precision and the like.
According to the tower crane counterforce identification method provided by the specific embodiment of the invention, the method comprises the following steps:
establishing a tower crane monitoring point stress vector and a tower crane counterforce vector based on the tower crane attachment structure parameters;
determining the combination of the tower crane foundation load and the working condition based on the force transfer characteristic of the tower crane attachment structure;
acquiring a mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane matched with different working conditions based on a simulated attachment structure;
processing the acquired real-time monitoring data based on wavelet analysis;
and identifying the counter force of the tower crane in real time based on the processed real-time monitoring data and the mapping incidence matrix.
Further, it includes to establish tower crane monitoring point stress vector and tower crane counter-force vector based on tower crane attachment structure parameter:
the tower crane counter-force of the different supports of integrated tower crane forms tower crane counter-force vector:
P＝[p1 p2 … pi … pm]wherein m is the number of the supports;
integrating stress values of different monitoring point positions to form monitoring stress vectors:
S＝[s1 s2 … si … sn]where n is the number of sensor station placements.
Further, it includes to confirm tower crane foundation load and operating mode combination based on tower crane attachment structure passes power characteristics:
setting a basic load in the simulation of the attachment model based on the force transmission mode of the attachment structure model:
Lm＝[lm1 lm2 lm3 lm4 lm5]where lm represents the base load.
Further, the obtaining of the mapping incidence matrix of the stress vector of the monitoring point and the reaction vector of the tower crane matched with different working conditions based on the simulated attachment structure comprises:
calculating tower crane counterforce vectors and monitoring point stress vectors under different working conditions of each basic load based on an attached simulation model, and integrating tower crane counterforce and monitoring point stress by taking data obtained by calculation under each working condition as a line to obtain a counterforce total matrix PaAnd attachment point monitoring stress total matrix SaIf the mapping incidence matrix P for monitoring the stress relationship based on the reaction matrix and the attachment point is sxf, the specific working condition combination dcThe mapping incidence matrix obtained is
Further, the processing the acquired real-time monitoring data based on the wavelet analysis includes:
assembling the stress monitoring data of the monitoring points at different moments according to the positions of the measuring points to obtain the monitoring vectors of the attachment points, and obtaining the stress monitoring data of the monitoring points at different moments:
Spre(t)＝[spre1(t) spre2(t) … sprei(t) … spren(t)]and substituted into the wavelet function:
to obtain
And then performing wavelet inverse transformation to obtain a denoised signal:
further, the real-time identification of the tower crane counter force based on the processed real-time monitoring data and the mapping incidence matrix comprises:
obtaining a signal internal force combination coefficient K after noise reduction:
K＝[k1 k2 … ki … kc]；
calculating a real-time mapping incidence matrix based on the internal force combination coefficient:
Fr＝k1Fd1+k2Fd2+k3Fd3…+kiFdi+…+kcFdc；
carrying out tower crane counter-force identification based on the noise reduction signal and the real-time mapping incidence matrix:
Pr(t)＝Sr(t)×Fr。
the invention has the beneficial effects that: establishing a stress vector of a tower crane monitoring point and a tower crane counter-force vector; determining the combination of the tower crane foundation load and the working condition based on the force transfer characteristic of the tower crane attachment structure; acquiring a mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane matched with different working conditions based on the simulated attachment structure, and processing the acquired real-time monitoring data based on wavelet analysis; and identifying the counter force of the tower crane in real time based on the processed real-time monitoring data and the mapping incidence matrix. Therefore, the real-time advantage of the combination of monitoring data is realized, the stress information and the counter force information of the tower crane attachment structure are acquired, the counter force of the tower crane is calculated, and the construction precision is ensured.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart of a tower crane reaction force identification method provided according to an exemplary embodiment;
FIG. 2 is a flow diagram of wavelet analysis provided in accordance with an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
Referring to fig. 1, an embodiment of the present invention provides a tower crane reaction force identification method, which specifically includes the following steps:
101. establishing a tower crane monitoring point stress vector and a tower crane counterforce vector based on the tower crane attachment structure parameters;
for different structures and monitoring schemes, the vector element dimensions are different, wherein the method for determining the vector element dimensions specifically comprises the following steps: according to the tower crane attachment structure form, the dimension of a tower crane counter force vector is the number of tower crane supports multiplied by the counter force quantity of each support, the number of the tower crane supports is determined by a specific attachment structure, the counter force quantity is determined by the counter force transmission direction of the tower crane, and generally, the counter force quantity has three directions of x, y and z. The element dimension of the stress vector of the attachment point and the arrangement quantity of the monitoring points are kept the same, and the dimension of the stress vector of the attachment point is larger than the dimension of the counter force vector of the tower crane in order to ensure that a subsequent mapping incidence matrix can be solved.
The attachment structure is typically comprised of an attachment frame, attachment rods, and support nodes. The measuring point supporting force of the tower crane is firstly transmitted to the attachment frame structure, then distributed by the attachment rod member and finally transmitted to the support node to form the tower crane counter force. In the construction process, the working load of the tower crane is complex, the number of working conditions needing to be calculated can be effectively simplified by analyzing and calculating the attachment frame, and the real tower crane load can be involved. Stress and counter-force relation need be considered in the tower crane attachment structure modeling process, and a plurality of grids need to be divided in the modeling, so that the contact problem of pin roll node connection is solved. The contact is restrained by adopting a coupling equation, and the positions of other welding nodes are bound.
102. Determining the combination of the tower crane foundation load and the working condition based on the force transfer characteristic of the tower crane attachment structure;
the general tower crane body can simplify the adnexed biography power as: nodal force, bending moment, torque, shearing force and uniform force.
103. Acquiring a mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane matched with different working conditions based on the simulated attachment structure;
in the simulation working condition verification, a coarse tower crane model can be adopted to set the verification working condition, and a fine grid division model is adopted in the analysis mapping incidence matrix. In order to improve the establishing precision of the mapping relation, the pin roll nodes in the attachment structure can adopt a mode of combining rough scale division and fine grid division.
104. Processing the acquired real-time monitoring data based on wavelet analysis;
the wavelet analysis is applied to process the original signal data, the noise of the original data is reduced, local abnormal values are reduced, and the accuracy of the identification counter force is improved.
105. And identifying the counter force of the tower crane in real time based on the processed real-time monitoring data and the mapping incidence matrix.
And calculating a real-time stress vector combination coefficient according to the mapping correlation matrix under the combination of the combination coefficient and the working condition, and identifying the counter force of the tower crane by using the real-time mapping correlation matrix. The method has the advantages of combining the real-time performance of monitoring data, assisting finite element simulation software, acquiring stress information and counter force information of the tower crane attachment structure, calculating the counter force of the tower crane and ensuring the construction precision. Different from a common tower crane counter force calculation method, the tower crane counter force only derives the size of an extreme value of angle isoparametric, the actual construction condition is complex in stress, and a tower crane attachment finite element model is established by combining monitoring data to identify the tower crane counter force.
As a feasible implementation manner of the above embodiments, in some specific embodiments of the present invention, establishing a tower crane monitoring point stress vector and a tower crane reaction vector based on tower crane attachment structure parameters includes:
the tower crane counter-force of the different supports of integrated tower crane forms tower crane counter-force vector:
P＝[p1 p2 … pi … pm]wherein m is the number of the supports;
integrating stress values of different monitoring point positions to form monitoring stress vectors:
S＝[s1 s2 … si … sn]where n is the number of sensor station placements.
Specifically, the real-time calculation of tower crane counter-force is realized to the simulation of application establishment adhesion structure, specifically as follows:
the lateral force borne by the tower crane is directly transmitted to the structural node, and the lateral force of the tower crane borne by the structural attachment node is the counter force of the tower crane. The tower crane counter-force of the attachment structure at the support is expressed as:
(pj)＝[pj,x pj,y]
the counter-force equipment of each support of integrated tower crane is tower crane counter-force vector P:
P＝[(p1) (p2) … (pj) … (pk)]
P＝[p1 p2 … pi … pm]
the order of the stress vector of the attached monitoring points is the number of the attached point positions, and the arrangement scheme of the monitoring points meets the requirement of the stress matrix of the attached point: the dimensionality of the stress vector is more than or equal to the dimensionality of P, namely n is less than or equal to m, and a stress matrix S of the attached monitoring points is obtained by integrating the stresses of different attached monitoring points:
S＝[s1 s2 … si … sn]
when the stress of the attachment member is in the linear elastic range, the tower crane counter force and the attachment member stress s are expressed by a linear relation, and then the relation between the counter force matrix and the attachment point monitoring stress is expressed by a mapping incidence matrix as follows:
P＝S×F
confirm tower crane foundation load and operating mode combination based on tower crane attachment structure passes power characteristics and include:
setting a basic load in the simulation of the attachment model based on the force transmission mode of the attachment structure model:
Lm＝[lm1 lm2 lm3 lm4 lm5]where lm represents the base load.
The tower crane regards the load attached to the hoop structure as uneven uniform load, and the uneven uniform load is disassembled into a pair of uniform load and bending moment combination. And the rotation braking force in the construction and operation process of the tower crane can be simplified into torque load. Considering the contact relation, the foundation can be set to be shearing force, node bending moment, concentrated force, uniformly distributed load and node torque. Setting a base load L in an attachment model simulation according to an attachment structure model force transmission modem：
Lm＝[lm1 lm2 lm3 lm4 lm5]
lm represents the setting of foundation loads, and the actual structure internal force mode is formed by combining multiple foundation loads, and different foundation load combinations are expressed as an internal force combination D:
D＝[d1 d2 … dc … dl]
dc＝(lmi lmi+1 lmi+2 … lmj-1 lmj)
the mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane, which are matched with different working conditions, is obtained based on the simulated attachment structure, and comprises the following steps:
calculating tower crane counterforce vectors and monitoring point stress vectors under different working conditions of each basic load based on an attached simulation model, and integrating tower crane counterforce and monitoring point stress by taking data obtained by calculation under each working condition as a line to obtain a counterforce total matrix PaAnd attachment point monitoring stress total matrix SaIf the mapping incidence matrix P for monitoring the stress relationship based on the reaction matrix and the attachment point is sxf, the specific working condition combination dcThe mapping incidence matrix obtained is
Different tower crane counterforce vectors and different attachment point stress vectors are calculated through an attachment simulation model under each basic load lm, data obtained through calculation under each working condition are used as one line, counterforce and stress are integrated, and a counterforce total matrix P of different lms is obtainedaAnd attachment point monitoring stress total matrix Sa：
When the stress of the attachment member is in the linear elastic range, the tower crane counter force and the attachment member stress are expressed by a linear relational expression, and then the relationship between the counter force matrix and the attachment point monitoring stress is expressed by a mapping incidence matrix as follows:
P＝S×F
the reaction matrix and the attachment point stress matrix obtained under different working condition combinations are different, the mapping incidence matrix obtained according to the matrix solving operation is different, and the combination d under the specific working condition iscThe mapping incidence matrix obtained by the following steps:
referring to fig. 2, the processing of the acquired real-time monitoring data based on the wavelet analysis includes:
assembling the stress monitoring data of the monitoring points at different moments according to the positions of the measuring points to obtain the monitoring vectors of the attachment points, and obtaining the stress monitoring data of the monitoring points at different moments:
Spre(t)＝[spre1(t) spre2(t) … sprei(t) … spren(t)]
and substituted into the wavelet function:
to obtain
And then performing wavelet inverse transformation to obtain a denoised signal:
the real-time identification of the tower crane counter force based on the processed real-time monitoring data and the mapping incidence matrix comprises the following steps:
obtaining a signal internal force combination coefficient K after noise reduction:
K＝[k1 k2 … ki … kc]；
calculating a real-time mapping incidence matrix based on the internal force combination coefficient:
Fr＝k1Fd1+k2Fd2+k3Fd3…+kiFdi+…+kcFdc；
carrying out tower crane counter-force identification based on the noise reduction signal and the real-time mapping incidence matrix:
Pr(t)＝Sr(t)×Fr。
it should be noted that the tower crane used in the above embodiment of the present invention is an M440 swing arm tower crane, and the selection of the tower crane is exemplary and should not be construed as a limitation to the present invention, and those skilled in the art can make changes, modifications, substitutions and alterations to the above embodiment within the scope of the present invention.
The tower crane counter force identification method provided by the embodiment of the invention combines the real-time advantage of monitoring data, provides a real-time tower crane counter force identification method, assists finite element simulation software, acquires stress information and counter force information of a tower crane attachment structure, calculates tower crane counter force, and ensures construction accuracy.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present invention may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
What has been described above includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, to the extent that the term "includes" is used in either the detailed description or the claims, such term is intended to be inclusive in a manner similar to the term "comprising" as "comprising" is interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean a "non-exclusive or".
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
Claims (6)
1. A tower crane counterforce identification method is characterized by comprising the following steps:
establishing a tower crane monitoring point stress vector and a tower crane counterforce vector based on the tower crane attachment structure parameters;
determining the combination of the tower crane foundation load and the working condition based on the force transfer characteristic of the tower crane attachment structure;
acquiring a mapping incidence matrix of the stress vector of the monitoring point and the counter-force vector of the tower crane matched with different working conditions based on a simulated attachment structure;
processing the acquired real-time monitoring data based on wavelet analysis;
and identifying the counter force of the tower crane in real time based on the processed real-time monitoring data and the mapping incidence matrix.
2. The tower crane reaction force identification method according to claim 1, wherein the establishing of the tower crane monitoring point stress vector and the tower crane reaction force vector based on the tower crane attachment structure parameter comprises:
the tower crane counter-force of the different supports of integrated tower crane forms tower crane counter-force vector:
P＝[p1 p2…pi…pm]wherein m is the number of the supports;
integrating stress values of different monitoring point positions to form monitoring stress vectors:
S＝[s1 s2…si…sn]where n is the number of sensor station placements.
3. The tower crane counterforce identification method of claim 2, wherein determining the tower crane foundation load and working condition combination based on tower crane attachment structure force transfer characteristics comprises:
setting a basic load in the simulation of the attachment model based on the force transmission mode of the attachment structure model:
Lm＝[lm1 lm2 lm3 lm4 lm5]where lm represents the base load.
4. The tower crane reaction force identification method according to claim 3, wherein the obtaining of the mapping incidence matrix of the monitoring point stress vector and the tower crane reaction force vector matched with different working conditions based on the simulated attachment structure comprises:
calculating tower crane reaction force vectors and monitoring point stress vectors under different working conditions of each basic load based on an attached simulation model, and calculating the reaction force vectors and the monitoring point stress vectors under different working conditionsThe data is used as a row to integrate tower crane counter force and monitoring point stress to obtain a counter force total matrix PaAnd attachment point monitoring stress total matrix SaIf the mapping incidence matrix P for monitoring the stress relationship based on the reaction matrix and the attachment point is sxf, the specific working condition combination dcThe mapping incidence matrix obtained is
5. The tower crane reaction force identification method according to claim 4, wherein the processing of the acquired real-time monitoring data based on wavelet analysis comprises:
assembling the stress monitoring data of the monitoring points at different moments according to the positions of the measuring points to obtain the monitoring vectors of the attachment points, and obtaining the stress monitoring data of the monitoring points at different moments:
Spre(t)＝[spre1(t) spre2(t)…sprei(t)…spren(t)]and substituted into the wavelet function:
to obtain
And then performing wavelet inverse transformation to obtain a denoised signal:
6. the tower crane reaction force identification method according to claim 5, wherein the real-time tower crane reaction force identification based on the processed real-time monitoring data and the mapping incidence matrix comprises:
obtaining a signal internal force combination coefficient K after noise reduction:
K＝[k1 k2…ki…kc]；
calculating a real-time mapping incidence matrix based on the internal force combination coefficient:
Fr＝k1Fd1+k2Fd2+k3Fd3…+kiFdi+…+kcFdc；
carrying out tower crane counter-force identification based on the noise reduction signal and the real-time mapping incidence matrix:
Pr(t)＝Sr(t)×Fr。
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| CN117113745A (en) * | 2023-07-19 | 2023-11-24 | 广州珠江建设发展有限公司 | Stress rechecking method and system for tower crane cross beam foundation |
| CN117113745B (en) * | 2023-07-19 | 2024-03-22 | 广州珠江建设发展有限公司 | Stress rechecking method and system for tower crane cross beam foundation |
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