CN107341282A - Improved bridge deterioration appraisal procedure based on the previous year state of the art - Google Patents

Improved bridge deterioration appraisal procedure based on the previous year state of the art Download PDF

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CN107341282A
CN107341282A CN201611146687.5A CN201611146687A CN107341282A CN 107341282 A CN107341282 A CN 107341282A CN 201611146687 A CN201611146687 A CN 201611146687A CN 107341282 A CN107341282 A CN 107341282A
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bridge
state
art
deterioration
value
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CN107341282B (en
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王龙林
高建明
刘世建
杨雨厚
陈齐风
黎力韬
于孟生
桂涛锋
张磊
王海华
郝天之
谢军
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Guangxi Transportation Research Institute
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    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/10Geometric CAD
    • G06F30/13Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
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Abstract

The invention discloses the modified natural deterioration appraisal procedure based on the previous year bridge technology state, state of the art scoring, time of the bridge technology state without deterioration, same type bridge statistics service life and bridge operation 4 parameters of usage time when being built up using bridge, bridge can be described by, which establishing, built up into after the operation phase, while considered the bridge technology state deterioration process model of environment, load and changes in material properties.Bridge technology state estimation and prediction are carried out using the bridge technology state degradation model of the present invention, targetedly bridge can be detected, conserved, repaired and be reinforced, ensure maintenance, reinforce, the reasonability of transformation scale, bridge is set to keep good state of the art, this is significant for bridge structure safe, sustainable operation and socio-economic development.

Description

Improved bridge deterioration appraisal procedure based on the previous year state of the art
Technical field
The invention belongs to bridge machinery, evaluation, care field, more particularly to the modified bridge based on the previous year state of the art Beam deteriorates appraisal procedure.
Background technology
Bridge all experiencings construction, military service, functional deterioration, the process scrapped.In use, elapse over time, Internally or it is outside or unfavorable factor effect under, by the aging of generating material and structural damage, the accumulation of this damage will be led Structural behaviour deterioration is caused, reliability reduces, and in the case of not maintenance and reinforcement, its function will necessarily accelerate to fail.Due to bridge The stock such as Liang Yougang and concrete is formed, and by statistical analysis, for newly-built and in-service bridge, its deterioration has similar rule Rule, the reliability in research prediction bridge future seem particularly significant with state.In order to preferably predict bridge service state and Residual life, lot of domestic and international scholar are studied the reliability degradation model of bridge structure, but relevant bridge structure skill The data and document of art state degradation model are also fewer.
Such as《China and foreign countries' highway》The paper " research of concrete-bridge degradation model " published on periodical is directed to concrete bridge Girder construction, with reference to the function that comes into force establish two sections, three sections of linear degradation models, n section linearity and non-linearity degradation models, with reference to me The codes and standards analysis of state gives parameter value therein, and basic two benches nonlinear model expression formula is shown in formula during no maintenance (1)。
β (t)=βo-α(t-tI)F(tI) (1)
In formula (1):βoFirst reliability is built up for bridge structure;tIStart the time of deterioration for bridge structure, with Nian Weidan Position;α is bridge structure without structural reliability deterioration rate when repairing.The degradation model of the bridge makes maintenance decision work become more Add concisely, conveniently.
Such as《World's bridge》The paper published on periodical " grind by the steel bridge maintenance strategy optimization based on performance degradation analysis Study carefully " consider the influence factors such as environment, load, bridge technology state is represented with RELIABILITY INDEX, state index, introducing changes Logistic dynamic particles colony optimization algorithm, the Monte-Carlo entered is simulated, during proposing that bridge is on active service, reliability index, shape State index once and quadratic nonlinearity degradation model, establish bridge structure time-dependent ability index computation model formula (2):
In formula (2):βoFirst reliability, t are built up for bridge structureIStart the time of deterioration for bridge structure, with Nian Weidan Position;EIFor environment coefficient, SEFor equivalent damage coefficient;α1For according to structural stress state and the determination of volume of traffic state of development RELIABILITY INDEX damage accumulation coefficient.
Such as《Railway science and engineering journal》" deterioration bridge probability safeguards model and maintenance to the paper published on periodical The nonlinear model of following bridge technology state index is established in scheme cost optimization research ":
In formula (3):CoOriginal state index is built up for bridge structure;tCIStart to deteriorate the time for bridge state index, with Year is unit;α2For bridge structure deterioration rate.
Above-mentioned model cannot be only used for it is newly-built into bridge, also can be used for the old bridge for many years of being on active service, but its degradation model is estimated Value and actual value deviation are larger so that the evaluation work degree of accuracy and confidence level are not high enough.In order to accurate to carrying out bridge technology state Really assess and predict, targetedly bridge can be detected, conserved, repaired and reinforced, accomplish that human and material resources resource has Put arrow, ensure maintenance, reinforce, the reasonability of transformation scale, bridge is kept good state of the art, and prolong to a certain extent The service life of long bridge, this has important practice to anticipate for bridge security life-span, sustainable operation and socio-economic development Justice and realistic meaning.Therefore, it is badly in need of a kind of bridge technology state deterioration appraisal procedure to solve the above problems, to record, to retouch State, predict that bridge technology state deteriorates rule.
The content of the invention
It is of the invention based on the previous year bridge technology state in order to improve bridge technology state estimation and precision of prediction problem Modified deterioration appraisal procedure using exponential form change Non-linear function expression as bridge technology state deterioration mould Type, to describe the deterioration rule of bridge technology state;The present invention is achieved through the following technical solutions:
A kind of modified deterioration appraisal procedure based on the previous year state of the art, the appraisal procedure is in bridge the previous year When state of the art scoring, time of the bridge technology state without deterioration, same type bridge statistics service life and bridge operation use Between data basis on carry out the deterioration of bridge state and assess, the appraisal procedure comprises the following steps:
Step a. obtains Starting Technical condition grading D when bridge is built upc, time N of the bridge technology state without deteriorationc, bridge Bridge technology condition grading D (1), D (2), D (3) ... D (n) in the usage time n and usage time n of beam;
Step b. calculates the deterioration rate α of bridge technology state;
Step c. calculates according to deterioration rate α and same type bridge counts service life NdCalculate the power in degradation model A value;
According to step a, the parameters obtained into step c determines the degradation model of bridge to step d., and the deterioration of rendering technique state is bent Line, complete deterioration and assess;The degradation model such as following formula:
Wherein:DcState of the art scoring when being built up for bridge, NdService life is counted for same type bridge, n is bridge Operation usage time, A are power, D (n-1) is the previous year bridge technology state.
When it is n that bridge, which builds up rear usage time, according to bridge technology condition grading D (1) over the years, D (2), D (3) ... D (n), if evaluating Time Continuous over the years, beam state of the art deterioration rate α is calculated by formula (5);If the evaluation time is non-over the years Continuously, then beam state of the art deterioration rate α is calculated by formula (6):
α=max D (1)-D (2), D (2)-D (3) ..., D (n-1)-D (n) } (5)
Wherein:D (1) is the state of the art scoring when usage time of bridge is the 1st year, and D (2) is the usage time of bridge For the 2nd year when state of the art scoring, D (3) be that state of the art when the usage time of bridge is the 3rd year scores, and D (j) is bridge The usage time of beam is jth year bridge technology state, and D (k) is that the usage time of bridge is kth year bridge technology state, D (n- 1) it is the bridge technology state in (n-1) year, D (n) is the state of the art scoring when usage time of bridge is 1 year.
The same type bridge statistics service life NdDetermine as follows, concrete foot bridge statistics service life NdTake Value 40 years;Concrete jackshaft statistics service life NdValue 55 years;Concrete bridge statistics service life NdValue 80 years;Coagulation Native grand bridge statistics service life NdValue 100 years.
N is not considered based on the previous year or last evaluate in bridge technology state degradation modelcWhen, A and bridge technology shape State deterioration maximum attenuation rate α is relevant, and A is shown in Table 1 with α value relations, can carry out interpolation calculation according to table 1.
The bridge technology state deterioration rate α of table 1 and power A, statistics service life NdRelation table
Power A is relevant with bridge technology state deterioration maximum attenuation rate α, and certain power can be also chosen according to following methods Index A computing technique state deterioration attenuation rate α.
As same type bridge statistics service life NdDuring value 40 years, A and α values relation determines according to the following formula, and A value is determined according to following formula:
α=- 0.0098A5+0.1958A4-1.57A3+6.4224A2-13.141A+17.16 (7)
As same type bridge statistics service life NdDuring value 55 years, A and α values relation determines according to the following formula, and A value is determined according to following formula:
α=- 0.0044A5+0.101A4-0.9274A3+4.3025A2-0.9473A+13.95 (8)
As same type bridge statistics service life NdDuring value 80 years, A and α values relation determines according to the following formula, and A value is determined according to following formula:
α=- 0.0051A5+0.112A4-0.9745A3+4.2864A2-9.4767A+12.28 (9)
As same type bridge statistics service life NdDuring value 100 years, A and α values relation determines according to the following formula, and A value is determined according to following formula:
α=- 0.0038A5+0.0849A4-0.7621A3+3.4664A2-7.9519A+10.602 (10)
Wherein:α is bridge technology state deterioration rate, and A is the power of degradation model.
Step e. calculates bridge technology condition evaluation prediction value according to bridge degradation model, assesses bridge residing life-span at present Section, it is timely in the corresponding life-span section of bridge according to the critical point prediction bridge maintaining timing node of bridge technology State Maintenance Intermediate node is detected to it, is conserved, repaired and reinforced.
Advantages of the present invention:
Based on a large amount of bridge technology status data Research on Statistics and Analysis, through parameters sensitivity analysis, science chooses bridge skill Art condition evaluation prediction parameter, instant invention overcomes deteriorate the problem of assessment models precision is not high in the prior art, it is possible to achieve High-precision assessment and prediction bridge technology state;Targetedly bridge can be carried out according to bridge technology state estimation value Detection, maintenance, maintenance and reinforcing, bridge is kept good state of the art, and effectively extend the service life of bridge.
Brief description of the drawings
Fig. 1 is deterioration appraisal procedure Bridge state of the art degradation curve schematic diagram of the present invention.
Embodiment
Long-term follow is carried out to the state of the art of a concrete continuous girder bridge, bridge total length 75m, superstructure is 3 × 25m Concrete cast-in-situ continuous box girder, deck-molding 1.5m, wide 11.20m;Abutment is gravity water wheel, bridge pier is column pier, pier, stylobate plinth It is Extended chemotherapy;Bridge deck pavement is Portland Cement Concrete Surface Course in bridge deck, and guardrail uses steel tube guardrail, and bridge floor sets sluicing Hole;The bridge was open to the traffic in 1988, and bridge age is 22 years at 2009;According to visual examination result during IMM algorithm, it is determined that Bridge Starting Technical condition grading Dc is 95 points;4 detecting appraisals are carried out altogether to the bridge during 22 years, 1988 are first Establish the bridge time, the detecting appraisal time is respectively 1997,2001,2005 and 2009, state of the art appraisal result D (1)=Dc=95, D (10)=90, D (14)=85, D (18)=76, D (22)=55, time and the evaluation result such as institute of table 2 are evaluated Show.
Table 2 evaluates time and state of the art evaluation result
State of the art appraisal result is substituted into maximum bridge technology state deterioration rate α=5.1 during formula (6) can obtain 22 years, Due to bridge floor series concrete jackshaft, therefore, statistics service life NdValue 55 years, degradation model ginseng is calculated according to formula (8) Power A is 3.0 in number;By Starting Technical condition grading Dc, service life Nd, power A substitutes into formula (4) can draw following deterioration mould Type expression formula:
Curve is assessed in the deterioration for drawing the model expression, as shown in figure 1, bridge technology state is with using as known in the figure The relation of the time limit, the bridge when in use between when being 25 years (i.e. 2012) technical condition evaluation predicted value reach 50, it is necessary to plus Gu;Technical condition evaluation predicted value reaches 30, it is necessary to overhaul when usage time is 29 years (i.e. 2016).

Claims (8)

1. a kind of improved bridge deterioration appraisal procedure based on the previous year state of the art, the appraisal procedure is in bridge the previous year State of the art scoring, time of the bridge technology state without deterioration, same type bridge statistics service life and bridge operation use The deterioration of bridge state is carried out in the data basis of time to assess, it is characterised in that:The appraisal procedure comprises the following steps:
Step a. obtains Starting Technical condition grading D when bridge is built upc, time N of the bridge technology state without deteriorationc, bridge Bridge technology condition grading D (1), D (2), D (3) ... D (n) in usage time n and usage time n;
Step b. calculates the deterioration rate α of bridge technology state;
Step c. calculates according to deterioration rate α and same type bridge counts service life NdCalculate the power A's in degradation model Value;
According to step a, the parameters obtained into step c determines the degradation model of bridge to step d., rendering technique state degradation curve, Deterioration is completed to assess;The degradation model such as following formula:
Wherein:DcState of the art scoring when being built up for bridge, NdService life is counted for same type bridge, n is that bridge operation makes Be power with time, A, D (n-1) be the previous year bridge technology state;
Step e. calculates bridge technology condition evaluation prediction value according to bridge degradation model, assesses bridge residing lifetime region at present Between, according to the critical point prediction bridge maintaining timing node of bridge technology State Maintenance, between timely in the corresponding life-span section of bridge Node is conserved to it, repaired and reinforced.
2. the improved bridge deterioration appraisal procedure according to claim 1 based on the previous year state of the art, its feature exist In:When bridge usage time is n, bridge technology condition grading in n is obtained, when evaluating Time Continuous in n, bridge technology State deterioration rate α is determined as the following formula:
α=max D (1)-D (2), D (2)-D (3), D (n-1)-D (n) }
Wherein:State of the art scoring when D (1) is the use 1 year of bridge, D (2) are that bridge is commented using state of the art at 2 years Point, state of the art scoring when D (3) is the use 3 years of bridge, D (n-1) is that the usage time of bridge is (n-1) year bridge State of the art, D (n) are the state of the art scoring when usage time of bridge is 1 year.
3. the improved bridge deterioration appraisal procedure according to claim 1 based on the previous year state of the art, its feature exist In:When bridge builds up operation n, bridge technology condition grading in n is obtained, when the n interior evaluation times are discontinuous, bridge technology State deterioration rate α is determined as the following formula:
Wherein:D (1) is the state of the art scoring when usage time of bridge is the 1st year, and D (2) is that the usage time of bridge is the State of the art scoring at 2 years, D (3) are the state of the art scoring when usage time of bridge is the 3rd year, and D (j) is bridge Usage time is jth year bridge technology state, and D (k) is that the usage time of bridge is kth year bridge technology state, and D (n-1) is The bridge technology state in (n-1) year, D (n) are the state of the art scoring when usage time of bridge is 1 year.
4. the improved bridge deterioration appraisal procedure according to claim 1 based on the previous year state of the art, its feature exist In:The same type bridge statistics service life NdDetermine as follows;Concrete foot bridge statistics service life NdValue 40 Year;Concrete jackshaft statistics service life NdValue 55 years;Concrete bridge statistics service life NdValue 80 years;Concrete is special Bridge statistics service life NdValue 100 years.
5. the improved bridge deterioration appraisal procedure according to claim 4 based on the previous year state of the art, its feature exist In:The same type bridge statistics service life NdDuring value 40 years, A value determines according to the following formula, and determines A according to following formula Value:
α=- 0.0098A5+0.1958A4-1.57A3+6.4224A2-13.141A+17.16
Wherein:α is bridge technology state deterioration rate, and A is the power of degradation model.
6. the deterioration appraisal procedure of the improved bridge based on the previous year state of the art according to claim 1 or 3, its feature It is:The same type bridge statistics service life NdDuring value 55 years, A value determines according to the following formula, and true according to following formula Determine A value:
α=- 0.0044A5+0.101A4-0.9274A3+4.3025A2-0.9473A+13.95
Wherein:α is bridge technology state deterioration rate, and A is the power of degradation model.
7. the improved bridge deterioration appraisal procedure according to claim 4 based on the previous year state of the art, its feature exist In:The same type bridge statistics service life NdDuring value 80 years, A value determines according to the following formula, and determines A according to following formula Value:
α=- 0.0051A5+0.112A4-0.9745A3+4.2864A2-9.4767A+12.28
Wherein:α is bridge technology state deterioration rate, and A is the power of degradation model.
8. the improved bridge deterioration appraisal procedure according to claim 4 based on the previous year state of the art, its feature exist In:The same type bridge statistics service life NdDuring value 100 years, A value determines according to the following formula, and is determined according to following formula A value:
α=- 0.0038A5+0.0849A4-0.7621A3+3.4664A2-7.9519A+10.602
Wherein:α is bridge technology state deterioration rate, and A is the power of degradation model.
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Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101451338A (en) * 2008-07-31 2009-06-10 重庆大学 Separation method of bridge structural state historical information
CN101696912A (en) * 2009-11-02 2010-04-21 重庆交通大学 Method for health diagnosis of concrete bridge structure based on statistical indexes
CN103033387A (en) * 2012-12-28 2013-04-10 重庆交通大学 Method for bridge girder dangerous condition diagnosis based on data drive
CN105241660A (en) * 2015-11-09 2016-01-13 西南交通大学 High-speed rail large-scale bridge performance evaluation method based on health monitoring data
CN105718658A (en) * 2016-01-21 2016-06-29 上海巨一科技发展有限公司 Large-size bridge online evaluating system

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101451338A (en) * 2008-07-31 2009-06-10 重庆大学 Separation method of bridge structural state historical information
CN101696912A (en) * 2009-11-02 2010-04-21 重庆交通大学 Method for health diagnosis of concrete bridge structure based on statistical indexes
CN103033387A (en) * 2012-12-28 2013-04-10 重庆交通大学 Method for bridge girder dangerous condition diagnosis based on data drive
CN105241660A (en) * 2015-11-09 2016-01-13 西南交通大学 High-speed rail large-scale bridge performance evaluation method based on health monitoring data
CN105718658A (en) * 2016-01-21 2016-06-29 上海巨一科技发展有限公司 Large-size bridge online evaluating system

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
JAEHO LEE ET AL.: "Modelling Long-term Bridge Deterioration at Structural Member Level Using Artificial Intelligence Techniques", 《APPLIED MECHANICS AND MATERIALS》 *
邵旭东 等: "基于概率的桥梁劣化模型与维护策略关系", 《重庆交通大学学报(自然科学版)》 *

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