CN115032003B - Identification method for extreme wind load of high-rise iron tower - Google Patents

Identification method for extreme wind load of high-rise iron tower Download PDF

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CN115032003B
CN115032003B CN202210437436.1A CN202210437436A CN115032003B CN 115032003 B CN115032003 B CN 115032003B CN 202210437436 A CN202210437436 A CN 202210437436A CN 115032003 B CN115032003 B CN 115032003B
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wind
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CN115032003A (en
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徐伟周
胡亚山
安增军
王球
李妍
崔厚坤
叶超
张楠
戴亚
王波
朱凤举
李伯颐
苏永亮
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Economic and Technological Research Institute of State Grid Jiangsu Electric Power Co Ltd
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    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
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    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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Abstract

The invention discloses a method for identifying extreme wind load of a towering iron tower, which comprises the steps of firstly, collecting load effects such as displacement, strain, acceleration, frequency and the like of the iron tower structure; determining a sensitive load effect vector set according to the sensitivity degree of the load effect of various iron tower structures to extreme wind load; eliminating the sensitive load effect of the iron tower structure under the action of extreme earthquake and icing load; calculating spherical domain equations of sensitive load effects of the iron tower structure under the action of different types of extreme wind loads; based on the spherical domain equation, the extreme wind load classification and identification of the high-rise iron tower structure can grasp the rule of the corresponding load effect under the extreme wind load, and accurate and effective data are provided for effectively evaluating the fatigue residual life of the structure and preventing the sudden collapse of the iron tower structure.

Description

Identification method for extreme wind load of high-rise iron tower
Technical Field
The invention relates to a method for identifying extreme wind load of a high-rise iron tower structure based on spherical domain classification identification, and belongs to the field of structural health monitoring and safety assessment.
Background
At present, the high-rise tower structure is widely applied in the power industry of China, such as a power transmission line tower, a wind power generation tower and the like, the quantity of the high-rise towers is continuously increased due to the development of the power industry of China and the requirements of China on green energy, the body quantity of a single tower is also continuously increased, the height of the power transmission tower is from tens of meters to hundreds of meters, and the weight of the single tower is increased from several tons to the current heaviest three thousand more tons.
Due to the high flexibility characteristics, the pylon structure is very sensitive to horizontal loads. The damage of the iron tower structure is mainly caused by strong wind load, under the action of the strong wind load, the high-rise iron tower structure is easy to generate severe oscillation to cause component fracture or residual deformation, and even the integral collapse damage under extreme conditions occurs. At present, load effect data of a tower site environment and an iron tower are acquired in real time through a sensor, the stress condition of a high-rise iron tower is mastered through monitoring data, the damaged part of an extreme wind load output structure is judged and repaired, and the normal working state of the damaged part is ensured, but the judgment of the wind load is lacking, so that the rule of the load effect of the strong wind load on the iron tower structure cannot be mastered, and accurate and effective data cannot be provided for effectively evaluating the fatigue residual life of the structure and preventing sudden collapse of the iron tower structure.
Disclosure of Invention
The invention provides an identification method capable of identifying extreme wind load of tower site environment in order to solve the problems existing in the prior art.
In order to achieve the above purpose, the technical scheme provided by the invention is as follows: a method of identifying a towering tower subjected to extreme wind loads having H types including extreme wind loads and daily wind loads, the extreme wind loads having Q types, the method comprising:
1) A plurality of measuring points are arranged on the iron tower, load effect data including displacement, strain, acceleration and vibration frequency of the corresponding measuring points caused by wind load are collected, and a load effect vector set including a displacement vector D, a strain vector S, an acceleration vector A and a vibration frequency F vector is formed
2) Calculating the sensitivity of each measuring point to extreme wind load by using corresponding load effect data generated by each measuring point under the action of extreme wind load and daily wind load respectively to obtain the sensitivity value of each measuring point, sorting the sensitivity values of each measuring point according to the sizes and taking part of the sensitivity values, wherein the corresponding measuring points of the taken sensitivity values form a measuring point set C sensitive to the extreme wind load w The load effect under the q-th extreme wind load of the corresponding measuring point is thatAnd->The sensitive load effect vector set is For->Normalization processing is carried out to form a normalized sensitive load effect vector setThe sensitive load effect vector set under Q types of extreme wind load is +.>
3) Calculating the average value C of each sensitive load effect D 、C S 、C A And C F Form and correspond toAverage vector set C of loading effects of (C) U =(C D C S C A C F ) T
4) Calculation ofRespectively with C U A maximum value R in the distance between them;
5) Selecting a load effect extremum corresponding to each measuring point caused by H-type wind load in a load effect vector set U, and carrying out normalization processing to form a load effect extremum vector setVector set corresponding to class h wind load +.>Build C U Spherical domain-based extreme wind load identification function V with R as radius as spherical center position h
When V is h When the load is less than or equal to 0, the load falls into the spherical area, and the h type load is judged to be an extreme wind load;
when V is h >And 0, falling outside the sphere, and judging the h-class load as the non-extreme wind load.
The technical scheme is further designed as follows: the calculation formula of the sensitivity of each measuring point to extreme wind load is as follows:
wherein: phi D 、Φ S 、Φ A And phi is F Sensitivity to displacement extremum, strain extremum, acceleration extremum and vibration frequency extremum; d (D) rw 、S rw 、A rw And F rw The displacement extreme value, the strain extreme value, the acceleration extreme value and the vibration frequency extreme value corresponding to each measuring point under daily wind load are respectively; d (D) rw 、S ew 、A ew And F ew The extreme wind load is respectively a displacement extreme value, a strain extreme value, an acceleration extreme value and a vibration frequency extreme value corresponding to each measuring point.
The pylon is also subjected to other loads including extreme seismic loads and icing loads.
The measuring point set C w The method for removing the measuring points sensitive to the polar earthquake load and the icing load comprises the following steps:
selecting a load effect extremum corresponding to each measuring point under the extreme seismic load to form a load vector set U under the extreme seismic load se The method comprises the steps of carrying out a first treatment on the surface of the Selecting a load effect extremum corresponding to each measuring point under the icing load to form a load effect vector set U under the icing wind load sc The method comprises the steps of carrying out a first treatment on the surface of the The sensitivity values of each measuring point to the polar end earthquake load and the icing load are calculated respectively through the following formulas:
the sensitivity values of the measuring points corresponding to the displacement, the strain, the acceleration and the vibration frequency under the polar earthquake load and the icing load are respectively sequenced, and m is respectively selected according to the sensitivity values of the measuring points corresponding to the displacement, the strain, the acceleration and the vibration frequency under the polar earthquake load 1 、m 2 、m 3 And m 4 The measuring points form a measuring point set C sensitive to polar end seismic wind load se K is selected from each measuring point corresponding to displacement, strain, acceleration and vibration frequency under the icing earthquake load according to the sensitivity value from large to small 1 、k 2 、k 3 And k 4 The measuring points form a measuring point set C sensitive to the load of ice-covered wind sc At the measuring point set C w Middle knockout C se ∩C w And C sc ∩C w And obtaining the measuring point which is only sensitive to the wind load of the polar end.
The invention has the following beneficial effects:
the method and the device identify the extreme wind load which can form a large horizontal load, and can grasp the rule of the corresponding load effect under the extreme wind load through identification, thereby providing accurate and effective data for effectively evaluating the fatigue residual life of the structure and preventing the sudden collapse of the structure of the iron tower.
Drawings
FIG. 1 is a flow chart of an embodiment of the present invention.
Detailed Description
The invention will now be described in detail with reference to the accompanying drawings and specific examples.
Examples
As shown in fig. 1, the method for identifying the wind load type of the iron tower structure according to the embodiment of the invention specifically includes the following steps: in the embodiment, a plurality of measuring points are arranged on the iron tower, health monitoring sensors are arranged on the measuring points, and the load effect corresponding to each measuring point comprises displacement, strain, acceleration and vibration frequency; the load borne by the iron tower comprises H-type wind load, wherein the H-type wind load comprises daily wind load and Q-type extreme wind load.
Step one, collecting load effect data corresponding to each measuring point caused by various loads borne by an iron tower, wherein displacement data in a sampling period are represented by a vector D,wherein D is J Representing displacement data of the J-th displacement measuring point in the full sampling period, wherein J is more than or equal to 1 and less than or equal to N 1 ,J∈N + ,N 1 For total number of displacement measuring points of the whole tower, N + Is a positive integer; the strain data within a sampling period is represented by a vector S, a>Wherein S is K Representing the strain data of the Kth strain measurement point in the full sampling period, wherein K is more than or equal to 1 and less than or equal to N 2 ,K∈N + ,N 2 The total number of the strain measuring points of the whole tower is; acceleration data in a sampling period is represented by vector A, vector +.>A L The acceleration extreme value of the L-th acceleration measuring point in the full sampling period is represented, wherein L is more than or equal to 1 and less than or equal to N 3 ,L∈N + ,N 3 The total number of acceleration measuring points of the whole tower; the vibration frequency data in the sampling period is represented by a vector F, vectorF P The vibration frequency extreme value of the P-th frequency measuring point in the full sampling period is represented, and P is more than or equal to 1 and less than or equal to N 4 ,P∈N + ,N 4 The total number of the vibration frequency measuring points of the whole tower is obtained. The sampling period is represented by T in seconds, T is at least 1 day and is an integer multiple of the number of days (i.e., T. Gtoreq.1×86400), and the sampling frequency is f s ,f s At least 1 hour and 1 time, M is the total data amount in the sampling period, and when the sampling frequency is 1Hz, the daily monitored data amount is 1×60×60×24=86400.
The acquired data form a load effect vector set U of the iron tower structure,
step two, determining a load effect vector set corresponding to a measuring point sensitive to the Q-class extreme wind load;
(1) and selecting an extreme value of the load effect corresponding to each measuring point of the iron tower structure under the effect of the daily constant wind load in the load effect vector set U.
Under the action of daily wind load, vector D is used for displacement extremum set of iron tower structure rw Representing the iron tower strain extremum set use vector S rw Representing the set of acceleration extremum using vector a rw Representing the set of frequency extremum using vector F rw The extremum vector set representing the total loading effect adopts U rw Representation, then:
wherein the vector isD J,rw Represents the displacement extreme value of the J-th displacement measuring point in the full sampling period under the daily wind load effect, wherein J is more than or equal to 1 and less than or equal to N 1 ,J∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->S K,rw Represents the strain extreme value of the Kth strain measuring point in the whole sampling period under the daily wind load effect, wherein K is more than or equal to 1 and less than or equal to N 2 ,K∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector quantityA L,rw The acceleration extreme value of the L-th acceleration measuring point in the full sampling period is represented by L which is more than or equal to 1 and less than or equal to N under the action of daily wind load 3 ,L∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->F P,rw Representing full sampling under the action of daily wind loadThe frequency extreme value of the P-th frequency measuring point in the period is more than or equal to 1 and less than or equal to N 4 ,P∈N +
The extremum in this embodiment refers to the maximum or minimum value of each load effect in the sampling period, and the maximum value is adopted in this embodiment:
wherein the method comprises the steps ofRepresenting a single value acquired at each displacement measurement point, M J Representing the total data amount of the J-th displacement measuring point in the whole sampling period, wherein M is more than or equal to 1 J ,M J ∈N + ;/>Representing a single value acquired at each strain measurement point, M K Representing the total data amount of the Kth strain measuring point in the whole sampling period, wherein M is not less than 1 K ,M K ∈N + ;/>Representing a single value acquired by each acceleration measuring point, M L Representing the total data amount of the L-th acceleration measuring point in the full sampling period, wherein M is not less than 1 L ,M L ∈N + ;/>Representing a single value acquired at each frequency measurement point, M P Representing the total data quantity of the P-th frequency measuring point in the whole sampling period, wherein M is not less than 1 P ,M P ∈N +
(2) Selecting an extreme value of a load effect corresponding to each measuring point of the iron tower structure under the action of extreme wind load;
under the action of extreme wind load, displacement extremum of iron tower structure uses vector D ew Representing the strain extremum using vector S ew Representing the acceleration extremum using vector A ew Representing the frequency extremum using vector F ew The extremum vector set representing the total loading effect adopts U ew Representation, then:
wherein the vector isRepresents the displacement extreme value of the J-th displacement measuring point in the full sampling period under the action of extreme wind load, wherein J is more than or equal to 1 and less than or equal to N 1 ,J∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->S K,ew Represents the strain extreme value of the Kth strain measuring point in the full sampling period under the action of extreme wind load, wherein K is more than or equal to 1 and less than or equal to N 2 ,K∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->A L,ew The acceleration extreme value of the L-th acceleration measuring point in the full sampling period is represented by L which is more than or equal to 1 and less than or equal to N under the action of extreme wind load 3 ,L∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->F P,ew Representing the P-th frequency in the full sampling period under the action of extreme wind loadThe frequency extremum of the measuring point is more than or equal to 1 and less than or equal to P and less than or equal to N 4 ,P∈N + 。D J,ew 、S K,ew 、A L,ew And F P,ew With D as above J,rw 、S K,rw 、A L,rw And F P,rw The method is the same.
(3) Calculating a sensitive value of the load effect of each measuring point of the iron tower structure to extreme wind load;
the vector phi is used for the combination of the sensitivity degree of displacement, strain, acceleration and vibration frequency to extreme wind load in the load effect w The representation is:
wherein the vector isΦ J,D The sensitivity value of the J-th displacement measuring point to extreme wind load is represented as J is more than or equal to 1 and less than or equal to N 1 ,J∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->Φ K,S The sensitivity value of the Kth strain measuring point to extreme wind load is represented as K is more than or equal to 1 and N is more than or equal to 2 ,K∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->Φ L,A The sensitivity value of the L-th acceleration measuring point to extreme wind load is represented by L which is more than or equal to 1 and less than or equal to N 3 ,L∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->Φ P,F The sensitivity value of the P-th frequency measuring point to extreme wind load is represented by P which is more than or equal to 1 and less than or equal to N 4 ,P∈N + The larger the phi value is, the more sensitive the various load effects are to extreme wind loads, and the specific calculation formula is as follows:
(4) and selecting a load effect vector set corresponding to the measuring point sensitive to the extreme wind load according to the load effect sensitive value of each measuring point.
According to the calculation result of the step (3), selecting and renumbering measuring points with high sensitivity to extreme wind load, wherein the load effect corresponding to the selected measuring points is used as a main load effect vector set U of the iron tower structure n,w . Displacement selection of first n 1 The number of the measuring points with the largest sensitive value leads the vectorRepresenting 1.ltoreq.n 1 ≤N 1 ,n 1 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Front n of strain selection 2 The measuring point with the maximum sensitivity value is used as the measuring point number by vector +.>Representing 1.ltoreq.n 2 ≤N 2 ,n 2 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Acceleration selection of first n 3 The measuring point with the maximum sensitivity value is used as the measuring point number by vector +.>Representing 1.ltoreq.n 3 ≤N 3 ,n 3 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vibration frequency is selected to be n 4 The number of the measuring point with the largest sensitive value is usedRepresenting 1.ltoreq.n 4 ≤N 4 ,n 4 ∈N + . Under the action of extreme wind load, the number vector set C of the selected total measuring point w Corresponding load effect vector set U n,w The respective expressions are as follows:
wherein the vector isThe displacement extreme value of the j-th displacement measuring point in the new displacement measuring point number is represented as 1.ltoreq.j.ltoreq.n 1 ,j∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->The strain extreme value of the kth strain measuring point in the new strain measuring point number is represented as 1.ltoreq.j.ltoreq.n 2 ,k∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->The acceleration extreme value of the first acceleration measuring point in the new acceleration measuring point number is represented as 1.ltoreq.l.ltoreq.n 3 ,l∈N +The frequency extremum of the p-th frequency measuring point in the new frequency measuring point number is represented as p is more than or equal to 1 and less than or equal to n 4 ,p∈N +
Step three, eliminating load effect data corresponding to the measuring points sensitive to the polar earthquake load and the icing load;
in order to improve the accuracy of extreme wind load identification, the embodiment needs to remove the sensitive measuring points in the iron tower structure under the action of extreme earthquake and icing load, and the removing method comprises the following steps:
(1) and respectively selecting extreme values of the corresponding load effects of each measuring point in the iron tower structure under the action of extreme earthquake and the icing load.
Under the action of extreme earthquake, vector D is used for displacement extremum set of iron tower structure se Representing the set of strain extrema using vector S se Representing the set of acceleration extremum using vector a se Representing the set of frequency extremum using vector F se The extremum vector set representing the total loading effect uses vector U se Representation, then:
wherein the vector isD j,se Representing the displacement extreme value of the jth displacement measuring point in the full sampling period under the action of extreme earthquake, wherein j is more than or equal to 1 and less than or equal to N 1 ,j∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->S k,se Represents the strain extreme value of the kth strain measuring point in the full sampling period under the action of extreme earthquake, wherein k is more than or equal to 1 and less than or equal to N 2 ,k∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector quantityA l,se The acceleration extreme value of the first acceleration measuring point in the full sampling period under the action of extreme earthquake is represented as l is more than or equal to 1 and less than or equal to N 3 ,l∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->F p,se The frequency extreme value of the p-th frequency measuring point in the full sampling period is represented under the action of extreme earthquake, and p is more than or equal to 1 and less than or equal to N 4 ,p∈N + 。D j,se 、S k,se 、A l,se And A l,se With D as above j,rw 、S k,rw 、A l,rw And F p,rw The method is the same.
Under the ice coating load effect, displacement extremum set use vector D of iron tower structure sc Representing the set of strain extrema using vector S sc Representing the set of acceleration extremum using vector a sc Representing the set of frequency extremum using vector F sc The extremum vector set representing the total loading effect uses U sc Representation, then:
wherein the vector isD j,sc Representing the displacement extreme value of the jth displacement measuring point in the full sampling period under the icing load effect, wherein j is more than or equal to 1 and less than or equal to N 1 ,j∈N + ;/>S k,sc Represents the strain extreme value of the kth strain measuring point in the whole sampling period under the ice coating load effect, wherein k is more than or equal to 1 and less than or equal to N 2 ,k∈N +A l,sc The acceleration extremum of the first acceleration measuring point in the full sampling period under the ice coating load effect is represented by l which is more than or equal to 1 and less than or equal to N 3 ,l∈N + ;/>F p,sc The frequency extremum of the p-th frequency measuring point in the whole sampling period under the ice coating load effect is represented, and p is more than or equal to 1 and less than or equal to N 4 ,p∈N + . Likewise, D j,sc 、S k,sc 、A l,sc And F l,sc With D as above j,rw 、S k,rw 、A l,rw And F p,rw The method is the same.
Calculating the effects of extreme seismic and icing loads according to the following equation similar to equation (6)Sensitivity vector Φ se And phi is sc
Sensitivity vector Φ for extreme seismic effects se Then according to the sensitivity of each measuring point, selecting the measuring point with large sensitivity value to the extreme earthquake action and renumbering, wherein the load effect corresponding to the selected measuring point is used as the main load effect vector set U of the iron tower structure m,e And (3) representing. Displacement is selected to be m before 1 The number of the measuring points with the greatest sensitivity uses vectorsRepresenting 1.ltoreq.m 1 ≤N 1 ,m 1 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the M before strain selection 2 The measuring point with the greatest sensitivity is used as the measuring point number by vector +.>Representing 1.ltoreq.m 2 ≤N 2 ,m 2 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Acceleration is selected to be m 3 The measuring points with the greatest sensitivity are numbered by the vector +.>Representing 1.ltoreq.m 3 ≤N 3 ,m 3 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vibration frequency is selected to be m 4 The number of the measuring points with the greatest sensitivity is usedRepresenting 1.ltoreq.m 4 ≤N 4 ,m 4 ∈N + . Under the action of extreme earthquake, the number vector set C of the selected total measuring point se Corresponding load effect vector set U n,se The respective expressions are as follows:
sensitivity vector Φ for icing load as well sc Then according to the sensitivity degree of each measuring point, selecting the measuring point with high sensitivity to icing load and renumbering, wherein the load effect corresponding to the selected measuring point is used as a main load effect vector set U of the iron tower structure q,sc And (3) representing. K before displacement selection 1 The vector is used for measuring point number of measuring point with maximum sensitivityRepresents 1.ltoreq.k 1 ≤N 1 ,k 1 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the K before strain selection 2 The measuring point with the greatest sensitivity is used as the measuring point number by vector +.>Represents 1.ltoreq.k 2 ≤N 2 ,k 2 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Acceleration selection front k 3 The measuring point with the greatest sensitivity is used as the measuring point number by vector +.>Represents 1.ltoreq.k 3 ≤N 3 ,k 3 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the K before vibration frequency selection 4 The number of the measuring point with the greatest sensitivity is +.> Represents 1.ltoreq.k 4 ≤N 4 ,k 4 ∈N + . Ice coating loadUnder the condition of using, the selected total measuring point number vector set C sc Corresponding load effect vector set U n,sc The respective expressions are as follows:
(2) and eliminating each sensitive load effect in the iron tower structure under the action of extreme earthquake and ice coating load.
C se ∩C w C represents a measuring point sensitive to both extreme earthquake action and extreme wind load sc ∩C w Representing a measuring point sensitive to both icing load and extreme wind load, from measuring point C w Middle knockout C se ∩C w And V sv ∩C w Measuring points, namely measuring points which are only sensitive to the wind load of the polar end are obtained, and the corresponding iron tower structure load effect vector set of the measuring points uses a vector U new And (3) representing.
Wherein the vector isThe displacement extreme value of the displacement measuring point which is sensitive to the extreme wind load and has the sensitivity of being front is represented, and is more than or equal to 1 and less than or equal to g 1 ≤n 1 ,g 1 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->The strain extreme value of a strain measuring point which is sensitive to the extreme wind load and has the front sensitivity is represented, and is 1-g 2 ≤n 2 ,g 2 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector quantityThe acceleration extreme value of the acceleration measuring point which is sensitive to the extreme wind load and has the sensitivity of being forward is represented, and is more than or equal to 1 and less than or equal to g 3 ≤n 3 ,g 3 ∈N + The method comprises the steps of carrying out a first treatment on the surface of the Vector->The frequency extremum of the frequency measuring point of the structure which is sensitive to the wind load at the extreme end and is sensitive to the wind load at the extreme end is represented by 1-g 4 ≤n 4 ,g 4 ∈N +
Step four, constructing spherical domain equations of sensitive load effects of the iron tower structure under various extreme wind loads;
(1) acquiring a load effect vector set corresponding to the measuring points of the iron tower structure which are only sensitive to Q-class extreme wind loads according to the third step;
each type of extreme wind load corresponds to a load effect vector set of the iron tower structure which is only sensitive to the extreme wind load, and the load effect vector set generated by the q type of extreme wind load corresponds to useThe representation is:
wherein the method comprises the steps ofRepresents the extreme value of the j-th displacement measuring point under the action of the q-th extreme wind load, wherein j is more than or equal to 1 and less than or equal to g 1 ,j∈N +
Represents the extreme value of the kth strain measuring point under the action of the q-th extreme wind load, wherein k is more than or equal to 1 and less than or equal to g 2 ,k∈N +
Is shown inUnder the q-th extreme wind load effect, the extreme value of the first acceleration measuring point is 1-l-g 3 ,l∈N +
The extreme value of the p-th frequency measuring point under the q-th extreme wind load effect is represented as p is more than or equal to 1 and less than or equal to g 4 ,p∈N +
Iron tower structure load effect vector set use vector which is only sensitive to extreme wind load and generated by Q-type extreme wind loadAnd (3) representing.
(2) Normalizing the structural load effect vector by the Q-type extreme wind load;
collecting the load effect vectorCarrying out normalization processing on each load effect in each type of vector set to form a normalized load effect vector set +.>
Vector set generated by q-th type extreme wind load isAfter normalization treatment, a new iron tower structure load effect vector set is obtained>
Total vector set generated by class Q extreme wind loadIs used by normalization processingAnd (3) representing.
(3) Calculating the central position of the Q group normalized vector set;
after normalization treatment, Q groups are shared, and the iron tower structure load effect vector set is only sensitive to extreme wind loadCalculating the average value of the loading effect as the center position of the spherical domain function:
wherein C is U =(C D C S C A C F ) T Vector C D 、C S 、C A And C F The calculation is as follows:
(4) calculating the spherical distance R from various vector sets to the central position q
(5) With the maximum spherical distance R as radius, i.e. r=max (R 1 ,R 2 ,R 3 ,…,R Q ) Establishing a spherical domain function equation of the sensitive load effect of the iron tower structure under the extreme wind load:
step five, classifying and identifying extreme wind load of high-rise iron tower structure based on spherical domain equation
(1) And selecting a load effect extremum corresponding to each measuring point caused by the H-type wind load in the load effect vector set U.
Vector D for displacement extremum set of iron tower structure ev Representing the iron tower strain extremum set use vector S ev Representing the set of acceleration extremum using vector a ev Representing the set of frequency extremum using vector F ev The extremum vector set representing the total loading effect adopts U ev Representation, then:
each wind load can generate a corresponding load effect extremum, and the load effect extremum vector set of the iron tower structure generated by the h wind load is usedThe expression is that:
(2) and (5) normalizing the H-type structure load effect vector.
H-type wind load can generate H-type iron tower structure load effect extremum vector setAnd carrying out normalization processing on each loading effect in each class of vector set.
Vector setNormalized use->The vector set of structural load effect extremum generated by the h wind load is +.>Vector set of load effect extremum of iron tower structure obtained through normalization treatment>
(3) Constructing an extreme wind load identification model based on a spherical domain function;
vector set of load effect extremum for class h wind loadsIn conjunction with the spherical domain function described by equation (19), the following extreme wind load identification function is constructed:
solving the function to obtain V h =(V 1 V 2 …V H ) T
When V is h When the load is less than or equal to 0, the load falls into the spherical area, and the h type load is judged to be an extreme wind load;
when V is h >When 0, the load falls outside the sphere, and the h type load is judged to be the non-extreme wind load
The technical scheme of the invention is not limited to the embodiments, and all technical schemes obtained by adopting equivalent substitution modes fall within the scope of the invention.

Claims (4)

1. A method for identifying extreme wind loads experienced by a towering tower, the wind loads experienced by the towering tower having H types including extreme wind loads and daily wind loads, the extreme wind loads having Q types, comprising:
1) A plurality of measuring points are arranged on the iron tower, load effect data including displacement, strain, acceleration and vibration frequency of the corresponding measuring points caused by wind load are collected, and a load effect vector set including a displacement vector D, a strain vector S, an acceleration vector A and a vibration frequency F vector is formed
2) Calculating the sensitivity of each measuring point to extreme wind load by using corresponding load effect data generated by each measuring point under the action of extreme wind load and daily wind load respectively to obtain the sensitivity value of each measuring point, sorting the sensitivity values of each measuring point according to the sizes and taking part of the sensitivity values, wherein the corresponding measuring points of the taken sensitivity values form a measuring point set C sensitive to the extreme wind load w The load effect under the q-th extreme wind load of the corresponding measuring point is thatAnd->The sensitive load effect vector set is-> For->Normalizing to form normalized sensitive load effect vector set +.>The sensitive load effect vector set under Q types of extreme wind load is +.>
3) Calculating the average value C of each sensitive load effect D 、C S 、C A And C F Form and correspond toAverage vector set C of loading effects of (C) U =(C D C S C A C F ) T
4) Calculation ofRespectively with C U A maximum value R in the distance between them;
5) Selecting a load effect extremum corresponding to each measuring point caused by H-type wind load in a load effect vector set U, and carrying out normalization processing to form a load effect extremum vector setVector set corresponding to class h wind load +.>Build C U Spherical domain-based extreme wind load identification function V with R as radius as spherical center position h
When V is h When the load is less than or equal to 0, the load falls into the spherical area, and the h type load is judged to be an extreme wind load;
when V is h >And 0, falling outside the sphere, and judging the h-class load as the non-extreme wind load.
2. The method for identifying extreme wind loads on a towering tower according to claim 1, wherein: the calculation formula of the sensitivity of each measuring point to extreme wind load is as follows:
wherein: phi D 、Φ S 、Φ A And phi is F Sensitivity to displacement extremum, strain extremum, acceleration extremum and vibration frequency extremum; d (D) rw 、S rw 、A rw And F rw The displacement extreme value, the strain extreme value, the acceleration extreme value and the vibration frequency extreme value corresponding to each measuring point under daily wind load are respectively; d (D) ew 、S ew 、A ew And F ew The extreme wind load is respectively a displacement extreme value, a strain extreme value, an acceleration extreme value and a vibration frequency extreme value corresponding to each measuring point.
3. The method for identifying extreme wind loads on a towering tower according to claim 2, wherein: the pylon is also subjected to other loads including extreme seismic loads and icing loads.
4. A method of identifying extreme wind loads on a towering tower according to claim 3 and whereinIn that the measuring point set C w The method for removing the measuring points sensitive to the polar earthquake load and the icing load comprises the following steps:
selecting a load effect extremum corresponding to each measuring point under the extreme seismic load to form a load vector set U under the extreme seismic load se The method comprises the steps of carrying out a first treatment on the surface of the Selecting a load effect extremum corresponding to each measuring point under the icing load to form a load effect vector set U under the icing wind load sc The method comprises the steps of carrying out a first treatment on the surface of the The sensitivity values of each measuring point to the polar end earthquake load and the icing load are calculated respectively through the following formulas:
the sensitivity values of the measuring points corresponding to the displacement, the strain, the acceleration and the vibration frequency under the polar earthquake load and the icing load are respectively sequenced, and m is respectively selected according to the sensitivity values of the measuring points corresponding to the displacement, the strain, the acceleration and the vibration frequency under the polar earthquake load 1 、m 2 、m 3 And m 4 The measuring points form a measuring point set C sensitive to polar end seismic wind load se K is selected from each measuring point corresponding to displacement, strain, acceleration and vibration frequency under the icing earthquake load according to the sensitivity value from large to small 1 、k 2 、k 3 And k 4 The measuring points form a measuring point set C sensitive to the load of ice-covered wind sc At the measuring point set C w Middle knockout C se ∩C w And C sc ∩C w And obtaining the measuring point which is only sensitive to the wind load of the polar end.
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Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11160144A (en) * 1997-11-26 1999-06-18 Kansai Electric Power Co Inc:The Three-dimensional earthquake response analyzing method

Family Cites Families (7)

* Cited by examiner, † Cited by third party
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CN104006981B (en) * 2014-05-26 2016-06-15 西安工程大学 Iron tower of power transmission line failure mechanism on-line monitoring system and monitoring method
CN104063564B (en) * 2014-07-17 2017-05-10 云南电网公司技术分公司 Method for selecting mounting points of transmission iron tower stress sensors based on finite element analysis
WO2017039195A1 (en) * 2015-08-31 2017-03-09 주식회사 글로비즈 Large-space structure collapse sensing device, structure monitoring device, and method using same
CA3037793A1 (en) * 2016-11-17 2018-07-19 Heuristic Actions, Inc. Devices, systems and methods, and sensor modules for use in monitoring the structural health of structures
CN114218835A (en) * 2021-12-20 2022-03-22 大连理工大学 Method for evaluating full-life anti-disaster performance of power transmission tower structure by considering wind-induced fatigue effect

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11160144A (en) * 1997-11-26 1999-06-18 Kansai Electric Power Co Inc:The Three-dimensional earthquake response analyzing method

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