CN103605841A - Method for building numerical simulation model of hydraulic engineering asphalt concrete - Google Patents
Method for building numerical simulation model of hydraulic engineering asphalt concrete Download PDFInfo
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- CN103605841A CN103605841A CN201310549136.3A CN201310549136A CN103605841A CN 103605841 A CN103605841 A CN 103605841A CN 201310549136 A CN201310549136 A CN 201310549136A CN 103605841 A CN103605841 A CN 103605841A
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Abstract
The invention discloses a method for building a numerical simulation model of hydraulic engineering asphalt concrete. The method includes steps of 1, manufacturing hydraulic engineering asphalt concrete test samples with a required mixture ratio, and actually measuring stress-strain curves of the various hydraulic engineering asphalt concrete test samples; 2, acquiring internal microstructures of the hydraulic engineering asphalt concrete test samples and building an initial numerical simulation model corresponding to the hydraulic engineering asphalt concrete test samples according to the internal microstructures; 3, using the stress-strain curves obtained in the step 1 as targets to adjust microcosmic parameters of the initial numerical simulation model by an optimization inversion process, enabling actually measured stress-strain curves to be matched with the stress-strain curves which are acquired by means of computation by the aid of the numerical simulation model so as to obtain the numerical simulation model of the hydraulic engineering asphalt concrete with the mixture ratio. The invention further discloses a method for determining the optimal mixture ratio of the hydraulic engineering asphalt concrete and a method for evaluating the construction quality of the hydraulic engineering asphalt concrete.
Description
Technical field
The present invention relates to utilize computing machine to carry out the method for concrete material mechanical characteristic emulation, relate in particular to a kind of hydraulic asphalt concrete numerical simulation model construction method, and a kind of hydraulic asphalt concrete optimum mix proportion is determined method, hydraulic asphalt concrete construction quality evaluation method.
Background technology
Hydraulic asphalt concrete is through artificial selection, to have mineral aggregate and a certain proportion of asphalt material of certain gradation composition, the compound that mixing forms under strict controlled condition, need to meet the barrier performance of hydraulic structure, need to there is enough modulus and intensity simultaneously, meet Deformation control and the safety requirements of hydro-structure.Hydraulic asphalt concrete, according to good antiseepage function, mechanical property and competitive construction costs, is more and more subject to domestic and international hydraulic engineering expert's attention.
The optimum mix proportion of bituminous concrete is the problem that first needs solution in engineering design.Present stage, by physical test means such as indoor compression test or triaxial tests, inquire into the key property indexs such as asphalt concrete modulus, intensity, carry out determining optimum mix proportion than choosing, needing, according to a large amount of replica test work, has increased test funds and test period greatly.On the other hand, while choosing match ratio in existing related specifications, do not consider the impact of the anti-hydraulic fracture characteristic of bituminous concrete.
The test condition of bituminous concrete is very large on the impact of its mechanical property.The research of Maopingxi embankment dam shows (Hu Chunlin, yellow Liao Shan, Li Youhua. the deformation characteristic research [J] of asphalt concrete core of embankment dams. Wuhan University of Technology's journal, 2001,23 (9): 47-49): forming method is counted K value to the modulus of hydraulic asphalt concrete test specimen to be affected very large, under same test conditions, the maximum K value of hydrostatic profile test specimen reaches 1152.8, and the maximum K value of on-the-spot disturbance core is only 210.2; Rate of loading on the impact of K value also clearly, when shear rate is 0.9mm/min, K=330; When shear rate is 2.0mm/min, K=908, K value enlarges markedly with the increase of shear rate.To the strain-stress relation parameter influence of bituminous concrete, also (Gou unit has test temperature greatly, Li Yongle, Xiao Zilong etc. Stress-Strain Relation of Asphalt Concrete experimental study [J]. people the Yellow River, 2005,27 (5): 59-61), K value during 0 ℃ of test temperature during than 10 ℃ corresponding K value increase 2～8 times more than.As can be seen here, the bituminous concrete mechanics parameter recording according to indoor physical test, because the factors such as test method, test condition and measurement technology are very responsive to bituminous concrete mechanical property, the discreteness of indoor the physical results is strong; And excessive according to the test result difference of the mechanical property ，Yu testing laboratory sample preparation of on-the-spot core boring sampling, mechanical property that can not accurate evaluation engineering original position bituminous concrete is difficult to control site operation quality comprehensively.
Summary of the invention
Technical matters to be solved by this invention is to overcome prior art deficiency, provide a kind of hydraulic asphalt concrete numerical simulation model construction method that can more accurately reflect hydraulic asphalt concrete actual physics mechanical characteristic, and a kind of hydraulic asphalt concrete optimum mix proportion is determined method, hydraulic asphalt concrete construction quality evaluation method.
Hydraulic asphalt concrete numerical simulation model construction method of the present invention, comprises the following steps:
Step 1, make the hydraulic asphalt concrete sample of required match ratio, and the stress-strain diagram of each hydraulic asphalt concrete sample of actual measurement;
Step 2, obtain the inside microscopical structure of described hydraulic asphalt concrete sample, and set up the corresponding initial value realistic model of described hydraulic asphalt concrete sample according to inner microscopical structure;
Step 3, the resulting stress-strain diagram of the step 1 of take are target, utilize Optimization inversion method to adjust the thin sight parameter of initial value realistic model, the stress-strain diagram that makes to utilize stress-strain diagram that numerical simulation model calculates and actual measurement to obtain matches, thereby obtains the hydraulic asphalt concrete numerical simulation model under this match ratio.
Hydraulic asphalt concrete optimum mix proportion of the present invention is determined method, comprises the following steps:
Step 1, make the hydraulic asphalt concrete sample of one group of different mixture ratio, and the stress-strain diagram of each hydraulic asphalt concrete sample of actual measurement;
Step 2, obtain respectively the inside microscopical structure of each hydraulic asphalt concrete sample, and set up respectively the corresponding initial value realistic model of each hydraulic asphalt concrete sample according to inner microscopical structure;
Step 3, for the corresponding initial value realistic model of each hydraulic asphalt concrete sample, the stress-strain diagram of resulting this sample of step 1 of take is target, utilize Optimization inversion method to adjust the thin sight parameter of initial value realistic model, the stress-strain diagram that makes to utilize stress-strain diagram that numerical simulation model calculates and actual measurement to obtain matches, thereby obtains the hydraulic asphalt concrete numerical simulation model under each match ratio;
Step 4, utilize hydraulic asphalt concrete numerical simulation model under each match ratio to calculate the physico mechanical characteristic parameter of the hydraulic asphalt concrete under each match ratio, in conjunction with actual needed physico mechanical characteristic parameter index, determine the optimum mix proportion of hydraulic asphalt concrete.
Hydraulic asphalt concrete construction quality evaluation method of the present invention, the first match ratio of the hydraulic asphalt concrete of actual measurement engineering site; Then according to numerical simulation model construction method described in above arbitrary technical scheme, build the hydraulic asphalt concrete numerical simulation model under this match ratio; The hydraulic asphalt concrete numerical simulation model that utilization obtains is calculated the physico mechanical characteristic parameter of hydraulic asphalt concrete, and comparing with the engineering design index of hydraulic asphalt concrete physico mechanical characteristic parameter, thereby the hydraulic asphalt concrete construction quality of definite engineering site.
Preferably, use the stress-strain diagram of uniaxial compression test or ordinary triaxial test actual measurement hydraulic asphalt concrete sample.
Preferably, utilize CT scan method to obtain the inside microscopical structure of hydraulic asphalt concrete sample.
Preferably, when setting up the corresponding initial value realistic model of hydraulic asphalt concrete sample, three phase materials that hydraulic asphalt concrete is considered as consisting of aggregate, bitumastic, hole; Mechanical model between particles of aggregates adopts linear contact stiffness model and gliding model, and the mechanical model between pitch water chestnut fat and between pitch water chestnut fat and particles of aggregates adopts Burger ' s model, contacts adhesive model and gliding model.
Preferably, the physico mechanical characteristic parameter of described hydraulic asphalt concrete comprises: deformation modulus, breakdown strength, anti-hydraulic fracture ability.
Compared to existing technology, the present invention has following beneficial effect:
The present invention is in conjunction with a small amount of indoor physical test data, utilize technology of numerical simulation means, consider the characteristics such as deformation modulus, breakdown strength and anti-hydraulic fracture ability of hydraulic asphalt concrete, determine the optimum mix proportion of hydraulic asphalt concrete, reduction experiment work amount and experimentation cost; According to the component analysis of field measurement sampling, by numerical experimentation, determine the mechanical property of hydraulic asphalt concrete, avoided the disturbing effect of the factors such as temperature, sampling disturbance, effectively reduce the discreteness that physical test causes test findings, more the site operation quality of objective evaluation hydraulic asphalt concrete, guarantees engineering safety.
Accompanying drawing explanation
Fig. 1 is that maximum aggregate size is 19mm, the grading curve of the hydraulic asphalt concrete aggregate that grading index is 0.35;
Fig. 2 is the matched curve of stress-strain diagram under hydraulic asphalt concrete uniaxial compression test and simulation numerical test;
Fig. 3 is the stress-strain diagram of hydraulic asphalt concrete under different gradation index;
Fig. 4 is the relation curve of hydraulic asphalt concrete grading index and modulus in compression;
Fig. 5 is the relation curve of hydraulic asphalt concrete grading index and compressive strength;
Fig. 6 is the relation curve of grading index and hydraulic asphalt concrete cleavage fracture stress.
Embodiment
Below in conjunction with accompanying drawing, technical scheme of the present invention is elaborated:
Invention thinking of the present invention is the mechanism of action based on hydraulic asphalt concrete inherence, by mesomechanics and discrete element method, by high precision CT scan and reconfiguration technique, set up numerical simulation model and carefully see parameter according to indoor physical test Data Inversion, thereby obtain more accurately reflecting the hydraulic asphalt concrete numerical simulation model of actual conditions; And then can utilize set up hydraulic asphalt concrete numerical simulation model computational physics mechanics parameters, incorporation engineering actual needs is determined optimum hydraulic asphalt concrete match ratio, or according to the detection data of engineering site, pass through set up hydraulic asphalt concrete numerical simulation model, more the site operation quality of objective evaluation hydraulic asphalt concrete.
Take below and determine that the optimum mix proportion of hydraulic asphalt concrete is example, technical scheme of the present invention is elaborated:
Hydraulic asphalt concrete optimum mix proportion of the present invention is determined method, comprises the following steps:
Sample the measured stress strain curve of step 1, making different mixture ratio:
According to hydraulic asphalt concrete anti-seepage earth and rockfill dam design specifications and engineering construction service condition, just intend one group or some groups of hydraulic asphalt concrete match ratios, and design porosity, according to testing regulations, make shop experiment test specimen, carry out uniaxial compression test or ordinary triaxial test under given test condition (temperature, loading speed etc.), obtain the stress-strain diagram that each test specimen is corresponding;
Step 2, set up the initial value realistic model of each sample:
By high precision CT scan technology, obtain the inside microscopical structure of resulting each hydraulic asphalt concrete test specimen of step 1, in conjunction with the mixture ratio of asphalt concrete of drafting, the test specimen method for making of physical test in simulating chamber, on the basis of mesomechanics, use discrete element method, build the hydraulic asphalt concrete numerical experimentation test specimen (numerical simulation model) of each match ratio.The numerical simulation model of setting up bituminous concrete is existing mature technology, repeats no more herein.
Because bituminous concrete is typical heterogeneous complex material, the nature difference of aggregate and pitch is larger, therefore the present invention is considered as three phase materials by hydraulic asphalt concrete when building initial value realistic model---and the aggregate of aggregate, bitumastic (comprising pitch and filler) and hole.The mechanical model that each phase material adopts is as follows: 1. between particles of aggregates: linear contact stiffness model and gliding model (Cundall P A. PFC2D User ' s Manual (Version 3.1) [R]. Minneapolis:Itasca Consulting Group Inc, 2002); 2. between pitch water chestnut fat, between pitch water chestnut fat and particles of aggregates: Burger ' s model, contact adhesive model and gliding model (Cundall P A. PFC2D User ' s Manual (Version 3.1) [R]. Minneapolis:Itasca Consulting Group Inc, 2002);
Thin sight parameter in step 3, inverting numerical simulation model:
For the corresponding initial value realistic model of each hydraulic asphalt concrete sample, the stress-strain diagram of resulting this sample of step 1 of take is target, utilize Optimization inversion method (for example immune genetic algorithm) to adjust the thin sight parameter of initial value realistic model, the stress-strain diagram that makes to utilize stress-strain diagram that numerical simulation model calculates and actual measurement to obtain matches, thereby obtains the hydraulic asphalt concrete numerical simulation model under each match ratio;
Step 4, utilize hydraulic asphalt concrete numerical simulation model under each match ratio to calculate the physico mechanical characteristic parameter (characteristics such as deformation modulus, breakdown strength and anti-hydraulic fracture ability) of the hydraulic asphalt concrete under each match ratio, in conjunction with actual needed physico mechanical characteristic parameter index, determine the optimum mix proportion of hydraulic asphalt concrete.
When carrying out the evaluation of hydraulic asphalt concrete construction quality, first the match ratio of the hydraulic asphalt concrete of actual measurement engineering site, for example, by core boring sampling or other lossless detection method at the construction field (site), in conjunction with extraction test, obtain porosity and each constituent percentage composition of Practical Project hydraulic asphalt concrete, thereby determine the match ratio of engineering site hydraulic asphalt concrete; Then adopt hydraulic asphalt concrete numerical simulation model construction method of the present invention, build the hydraulic asphalt concrete numerical simulation model under this match ratio; The hydraulic asphalt concrete numerical simulation model that utilization obtains is calculated the physico mechanical characteristic parameter (characteristics such as deformation modulus, breakdown strength and anti-hydraulic fracture ability) of hydraulic asphalt concrete, and compare with the engineering design index of hydraulic asphalt concrete physico mechanical characteristic parameter, thereby can objective evaluation go out the hydraulic asphalt concrete construction quality of engineering site.
For further illustrating technical solution of the present invention, with the example that is defined as of the optimum grading index of certain engineering asphaltic concrete core wall rock-fill dams hydraulic asphalt concrete, describe below:
(1) with reference to < < Bituminous concrete facing of earth-rock dam and core-wall design specifications > > (DLT-5411) mineral aggregate gradation, press formula
, just intend hydraulic asphalt concrete match ratio and be: maximum aggregate size
d maxfor 19mm, grading index is that r gets 0.35, amount of filler p
0.075account for aggregate and always refetch 12%, pitch accounts for 6.5% of general assembly (TW), porosity 1.41%, and getting asphalt content is 1:2 with the ratio of filer content, the grading curve of bituminous concrete, is shown in Fig. 1.Hydraulic asphalt concrete sample under this match ratio is carried out to indoor uniaxial compression test, and the stress-strain diagram of acquisition is shown in Fig. 2.
(2) by high precision CT scan method, obtain the inner microscopical structure of bituminous concrete under this match ratio representative section; According to bituminous concrete inner structure structure, in conjunction with above-mentioned mixture ratio of asphalt concrete, the test specimen method for making of physical test in simulating chamber, uses PFC
2D hydraulic asphalt concrete numerical simulation computation model under this match ratio of software Primary Construction.Numerical simulation model is considered as three phase materials by bituminous concrete---aggregate, bitumastic and hole, and the mechanical model that each phase material adopts is as follows: 1. between particles of aggregates: linear contact stiffness model and gliding model; 2. between pitch water chestnut fat, between pitch water chestnut fat and particles of aggregates: Burger ' s model, contact adhesive model and gliding model.
(3) according to the preliminary numerical simulation model of setting up, the numerical experimentation of simulation uniaxial compression test.According to immune genetic algorithm Optimization inversion, carefully see parameter, make the stress-strain diagram of numerical experimentation, the stress-strain diagram measuring with indoor physical test matches, and sees Fig. 2.Under this match ratio that inverting obtains, the thin sight parameter of hydraulic asphalt concrete, refers to following table 1.
table 1 asphalt concrete test is carefully seen parameter
(4) adjust the grading index of bituminous concrete, build the bituminous concrete numerical simulation model under corresponding grading index, Fig. 3 has shown the stress-strain diagram of hydraulic asphalt concrete under different gradation index.Then utilize the numerical simulation model of hydraulic asphalt concrete under the different gradation index obtaining, analyze deformation modulus (referring to Fig. 4), the breakdown strength (referring to Fig. 5) of hydraulic asphalt concrete under different gradation index; Analyze the ability (referring to Fig. 6) of anti-hydraulic fracture under different gradation index.Consider these three kinds of physico mechanical characteristic parameters of deformation modulus, breakdown strength and anti-hydraulic fracture ability, finally determine that the optimum grading index of hydraulic asphalt concrete is 0.44.
Claims (8)
1. a hydraulic asphalt concrete numerical simulation model construction method, is characterized in that, comprises the following steps:
Step 1, make the hydraulic asphalt concrete sample of required match ratio, and the stress-strain diagram of each hydraulic asphalt concrete sample of actual measurement;
Step 2, obtain the inside microscopical structure of described hydraulic asphalt concrete sample, and set up the corresponding initial value realistic model of described hydraulic asphalt concrete sample according to inner microscopical structure;
Step 3, the resulting stress-strain diagram of the step 1 of take are target, utilize Optimization inversion method to adjust the thin sight parameter of initial value realistic model, the stress-strain diagram that makes to utilize stress-strain diagram that numerical simulation model calculates and actual measurement to obtain matches, thereby obtains the hydraulic asphalt concrete numerical simulation model under this match ratio.
2. hydraulic asphalt concrete numerical simulation model construction method as claimed in claim 1, is characterized in that, uses the stress-strain diagram of uniaxial compression test or ordinary triaxial test actual measurement hydraulic asphalt concrete sample.
3. hydraulic asphalt concrete numerical simulation model construction method as claimed in claim 1, is characterized in that, utilizes CT scan method to obtain the inside microscopical structure of hydraulic asphalt concrete sample.
4. hydraulic asphalt concrete numerical simulation model construction method as claimed in claim 1, it is characterized in that, when setting up the corresponding initial value realistic model of hydraulic asphalt concrete sample, three phase materials that hydraulic asphalt concrete is considered as consisting of aggregate, bitumastic, hole; Mechanical model between particles of aggregates adopts linear contact stiffness model and gliding model, and the mechanical model between pitch water chestnut fat and between pitch water chestnut fat and particles of aggregates adopts Burger ' s model, contacts adhesive model and gliding model.
5. hydraulic asphalt concrete numerical simulation model construction method as claimed in claim 1, is characterized in that, described Optimization inversion method is immune genetic algorithm.
6. hydraulic asphalt concrete optimum mix proportion is determined a method, it is characterized in that, comprises the following steps:
Step 1, make the hydraulic asphalt concrete sample of one group of different mixture ratio, and the stress-strain diagram of each hydraulic asphalt concrete sample of actual measurement;
Step 2, obtain respectively the inside microscopical structure of each hydraulic asphalt concrete sample, and set up respectively the corresponding initial value realistic model of each hydraulic asphalt concrete sample according to inner microscopical structure;
Step 3, for the corresponding initial value realistic model of each hydraulic asphalt concrete sample, the stress-strain diagram of resulting this sample of step 1 of take is target, utilize Optimization inversion method to adjust the thin sight parameter of initial value realistic model, the stress-strain diagram that makes to utilize stress-strain diagram that numerical simulation model calculates and actual measurement to obtain matches, thereby obtains the hydraulic asphalt concrete numerical simulation model under each match ratio;
Step 4, utilize hydraulic asphalt concrete numerical simulation model under each match ratio to calculate the physico mechanical characteristic parameter of the hydraulic asphalt concrete under each match ratio, in conjunction with actual needed physico mechanical characteristic parameter index, determine the optimum mix proportion of hydraulic asphalt concrete.
7. hydraulic asphalt concrete optimum mix proportion is determined method as claimed in claim 6, it is characterized in that, the physico mechanical characteristic parameter of described hydraulic asphalt concrete comprises: deformation modulus, breakdown strength, anti-hydraulic fracture ability.
8. a hydraulic asphalt concrete construction quality evaluation method, is characterized in that, first the match ratio of the hydraulic asphalt concrete of actual measurement engineering site; Then according to numerical simulation model construction method described in claim 1-5 any one, build the hydraulic asphalt concrete numerical simulation model under this match ratio; The hydraulic asphalt concrete numerical simulation model that utilization obtains is calculated the physico mechanical characteristic parameter of hydraulic asphalt concrete, and comparing with the engineering design index of hydraulic asphalt concrete physico mechanical characteristic parameter, thereby the hydraulic asphalt concrete construction quality of definite engineering site.
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| CN105893712A (en) * | 2016-05-12 | 2016-08-24 | 贵州省交通规划勘察设计研究院股份有限公司 | Asphalt mixture proportion designing method and asphalt mixture |
| CN106950120A (en) * | 2017-02-16 | 2017-07-14 | 浙江大学 | A kind of asphalt mixture gradation optimization method under virtual state |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1932153A (en) * | 2006-09-28 | 2007-03-21 | 贵州省交通科学研究所 | Asphalt proportion ratio design method |
| US20080221815A1 (en) * | 2002-07-31 | 2008-09-11 | Trost Steven M | Method and System for Concrete Quality Control Based on the Concrete's Maturity |
| CN102760309A (en) * | 2012-05-30 | 2012-10-31 | 合肥工业大学 | Bituminous pavement test piece X-ray CT (computed tomography) image-based aggregate mesoscopic solid model reconstruction method |
-
2013
- 2013-11-07 CN CN201310549136.3A patent/CN103605841B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20080221815A1 (en) * | 2002-07-31 | 2008-09-11 | Trost Steven M | Method and System for Concrete Quality Control Based on the Concrete's Maturity |
| CN1932153A (en) * | 2006-09-28 | 2007-03-21 | 贵州省交通科学研究所 | Asphalt proportion ratio design method |
| CN102760309A (en) * | 2012-05-30 | 2012-10-31 | 合肥工业大学 | Bituminous pavement test piece X-ray CT (computed tomography) image-based aggregate mesoscopic solid model reconstruction method |
Non-Patent Citations (2)
| Title |
|---|
| 朱晟,等: "土石坝沥青混凝土心墙力学参数反演分析", 《岩土力学》 * |
| 李晓军，冯樊: "沥青混凝土单轴蠕变虚拟仿真", 《武汉理工大学学报》 * |
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