CN104120703A - Soil and stone mixed filling subgrade compaction degree detection method - Google Patents
Soil and stone mixed filling subgrade compaction degree detection method Download PDFInfo
- Publication number
- CN104120703A CN104120703A CN201410362998.XA CN201410362998A CN104120703A CN 104120703 A CN104120703 A CN 104120703A CN 201410362998 A CN201410362998 A CN 201410362998A CN 104120703 A CN104120703 A CN 104120703A
- Authority
- CN
- China
- Prior art keywords
- soil
- stone
- stone embankment
- embankment
- compaction
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Investigating Strength Of Materials By Application Of Mechanical Stress (AREA)
- Investigation Of Foundation Soil And Reinforcement Of Foundation Soil By Compacting Or Drainage (AREA)
Abstract
The invention provides a soil and stone mixed filling subgrade compaction degree detection method. The method comprises the following steps of (1) excavating a soil and stone mixed filling subgrade, (2) adopting a 5 mm screen cloth for screening to obtain an oversize product, working out the stone percentage P5 of the soil and stone mixed filling subgrade, (3) screening out the maximum particle size dmax of the soil and sand mixed filling subgrade, (4) measuring a dynamic rebound modulus Evd of the soil and stone mixed filling subgrade, and (5) working out a compaction degree K of the soil and stone mixed filling subgrade according to the a prediction model. The soil and stone mixed filling subgrade compaction degree detection method is small in error, high in precision and practicability and capable of greatly simplifying the detection process, so that the detection efficiency is greatly improved.
Description
Technical field
The invention belongs to roadbed material detection technique field, be specifically related to a kind of soil-stone embankment detection methods of compaction degree.
Background technology
Soil-stone embankment has the advantages such as intensity is high, compacted density is large, sedimentation and deformation is little, water permeability is strong, scour resistance is high, can draw materials nearby, is generally used as the filler of roadbed filling at home.But changing greatly and be difficult to, this embankment material grain graininess controls.
Existing soil-stone embankment mainly adopts sand replacement method and douche to detect Subgrade Compaction.Yet sand replacement method and douche all expend a large amount of manpowers, and inefficiency.Meanwhile, sand replacement method and douche are mainly applicable to fine grained soils and detect, and are that the applicability of soil-stone embankment more than 60cm is lower to maximum particle diameter, and the degree of compaction result and the actual conditions that record are not inconsistent.
Other Compaction Degree Index Evaluation method mainly contains loaded plate method, flexure determination method (Benkleman beam deflectometer and FWD Falling Weight Deflectometer) etc.Yet these means of testing all exist the shortcoming that the testing time is long, personnel are many, by-place should not arrive.
And the new technologies such as radioactive ray detection method, Transient State Rayleigh Wave detection, also because there are various problems, are difficult to promote in detecting soil-stone embankment degree of compaction.Therefore, find a kind of quick, accurate, easy soil-stone embankment detection methods of compaction degree most important.
Summary of the invention
Technical problem to be solved by this invention is for above-mentioned the deficiencies in the prior art, and a kind of soil-stone embankment detection methods of compaction degree is provided.The method is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and has very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of soil-stone embankment detection methods of compaction degree, it is characterized in that, and the method comprises the following steps:
Step 1, to take diameter be 100mm~200mm, the cylindric soil-stone embankment that the degree of depth is 150mm~250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, then according to the quality of oversize, account for the percentage composition of soil-stone embankment gross mass, calculate soil-stone embankment containing stone amount P
5;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculate the degree of compaction K of soil-stone embankment.
Above-mentioned a kind of soil-stone embankment detection methods of compaction degree, is characterized in that, soil-stone embankment described in step 2 containing stone amount P
5meet: 40%≤P
5≤ 70%.
Above-mentioned a kind of soil-stone embankment detection methods of compaction degree, is characterized in that the maximum particle diameter d of soil-stone embankment described in step 3
maxfor 60mm or 80mm.
Above-mentioned a kind of soil-stone embankment detection methods of compaction degree, is characterized in that, the dynamic resilience modulus E of soil-stone embankment described in step 4
vdmeet: 36MPa≤E
vd≤ 48MPa.
Above-mentioned a kind of soil-stone embankment detection methods of compaction degree, is characterized in that, the degree of compaction K of soil-stone embankment described in step 5 meets: K >=95%.
The present invention compared with prior art has the following advantages:
1, the present invention relates to the novel detection means of a kind of native stone compound degree of compaction and standard, it is by power, to load the dynamic resilience modulus value that detects roadbed to monitor and evaluate roadbed filling quality.The present invention utilizes dynamic resilience modulus E
vddegree of compaction to soil-stone embankment detects, no matter from definition, principle, or the aspect such as measuring accuracy, reliability and operability, the present invention has more significant reasonability and superiority with respect to traditional sand replacement method.Dynamic resilience modulus E
vdfor dynamic test, meet soil body actual loading situation, and E
vdlittle, the quality of tester volume light, be easy to carry, installation and convenient disassembly, easy and simple to handle, automaticity is high, test speed is fast, stable performance, measuring accuracy is high, testing cost is low, people-oriented in design, without any pollution, belong to Environmentally-sound technology.
2, the present invention adopts dynamic resilience modulus E
vddetect the degree of compaction of soil-stone embankment, can really realize the labour intensity of significantly simplifying, alleviate testing crew, the raising detection efficiency of test method, result of the test will be more realistic, more can guarantee the accurate, objective of test result, reach and accelerate Roadbed Construction construction, improve the object of roadbed construction quality.
Below in conjunction with embodiment, the present invention is described in further detail.
The specific embodiment
Embodiment 1
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 150mm, the cylindric soil-stone embankment that the degree of depth is 200mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 1.
The detection data of table 1 embodiment 1 soil-stone embankment
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining its degree of compaction is 98.61%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
Embodiment 2
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 180mm, the cylindric soil-stone embankment that the degree of depth is 210mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 2.
The detection data of table 2 embodiment 2 soil-stone embankments
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining degree of compaction is 94.36%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
Embodiment 3
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 150mm, the cylindric soil-stone embankment that the degree of depth is 250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 3.
The detection data of table 3 embodiment 3 soil-stone embankments
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining degree of compaction is 95.11%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
Embodiment 4
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 150mm, the cylindric soil-stone embankment that the degree of depth is 250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 4.
The detection data of table 4 embodiment 4 soil-stone embankments
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining degree of compaction is 95.92%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
Embodiment 5
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 150mm, the cylindric soil-stone embankment that the degree of depth is 250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 5.
The detection data of table 5 embodiment 5 soil-stone embankments
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining degree of compaction is 95.2%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
Embodiment 6
The present embodiment soil-stone embankment detection methods of compaction degree comprises the following steps:
Step 1, to take diameter be 150mm, the cylindric soil-stone embankment that the degree of depth is 250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, the percentage composition that then accounts for soil-stone embankment gross mass according to the quality of oversize calculate soil-stone embankment containing stone amount P
5, described P
5unit be %;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculating the degree of compaction K of soil-stone embankment, the unit of K is %.
The detection data of the present embodiment soil-stone embankment are in Table 6.
The detection data of table 6 embodiment 6 soil-stone embankments
Adopt traditional sand replacement method to carry out degree of compaction detection to soil-stone embankment, obtaining degree of compaction is 97.2%.Hence one can see that, and the present embodiment is little for the detection methods of compaction degree error of soil-stone embankment, and precision is high, and have very strong practicality, can significantly simplify testing process, and detection efficiency is largely increased.
The above, be only preferred embodiment of the present invention, not the present invention imposed any restrictions.Every any simple modification of above embodiment being done according to invention technical spirit, change and equivalence change, and all still belong in the protection domain of technical solution of the present invention.
Claims (5)
1. a soil-stone embankment detection methods of compaction degree, is characterized in that, the method comprises the following steps:
Step 1, to take diameter be 100mm~200mm, the cylindric soil-stone embankment that the degree of depth is 150mm~250mm;
Step 2, adopt the screen cloth that screen size is 5mm to sieve the soil-stone embankment taking in step 1, get oversize, then according to the quality of oversize, account for the percentage composition of soil-stone embankment gross mass, calculate soil-stone embankment containing stone amount P
5;
Step 3, the soil-stone embankment taking in step 1 is screened, filter out the maximum particle diameter d of soil-stone embankment
max, described d
maxunit be mm;
Step 4, utilize Handheld type drop hammer deflectometer to carry out the detection of dynamic resilience modulus to the soil-stone embankment taking in step 1, record the dynamic resilience modulus E of soil-stone embankment
vd, described E
vdunit be MPa;
Step 5, set up forecast model
, then according to the soil-stone embankment obtaining in step 2 containing stone amount P
5, the soil-stone embankment that obtains in step 3 maximum particle diameter d
maxand the dynamic resilience modulus E of the soil-stone embankment obtaining in step 4
vd, calculate the degree of compaction K of soil-stone embankment.
2. a kind of soil-stone embankment detection methods of compaction degree according to claim 1, is characterized in that, soil-stone embankment described in step 2 containing stone amount P
5meet: 40%≤P
5≤ 70%.
3. a kind of soil-stone embankment detection methods of compaction degree according to claim 1, is characterized in that the maximum particle diameter d of soil-stone embankment described in step 3
maxfor 60mm or 80mm.
4. a kind of soil-stone embankment detection methods of compaction degree according to claim 1, is characterized in that, the dynamic resilience modulus E of soil-stone embankment described in step 4
vdmeet: 36MPa≤E
vd≤ 48MPa.
5. a kind of soil-stone embankment detection methods of compaction degree according to claim 1, is characterized in that, the degree of compaction K of soil-stone embankment described in step 5 meets: K >=95%.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410362998.XA CN104120703B (en) | 2014-07-28 | 2014-07-28 | A kind of soil-stone embankment detection methods of compaction degree |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201410362998.XA CN104120703B (en) | 2014-07-28 | 2014-07-28 | A kind of soil-stone embankment detection methods of compaction degree |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104120703A true CN104120703A (en) | 2014-10-29 |
CN104120703B CN104120703B (en) | 2015-10-07 |
Family
ID=51766320
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201410362998.XA Active CN104120703B (en) | 2014-07-28 | 2014-07-28 | A kind of soil-stone embankment detection methods of compaction degree |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104120703B (en) |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105158436A (en) * | 2015-07-28 | 2015-12-16 | 中铁城市规划设计研究院有限公司 | Detection method for gravel-soil compactness detection index |
CN108396723A (en) * | 2018-01-31 | 2018-08-14 | 甘肃省交通规划勘察设计院股份有限公司 | A kind of highway subgrade compaction quality rapid detection method |
CN109839497A (en) * | 2019-02-15 | 2019-06-04 | 武汉理工大学 | A kind of indoor standardization device and scaling method for middle coarse granule filling compaction detection depth |
CN110512582A (en) * | 2019-08-22 | 2019-11-29 | 长安大学 | A kind of Subgrade Compaction layer detection method |
CN111122664A (en) * | 2020-01-03 | 2020-05-08 | 重庆交通大学 | High-fill foundation overall quality evaluation method |
CN112064617A (en) * | 2020-09-07 | 2020-12-11 | 南方电网能源发展研究院有限责任公司 | Soil-stone mixture foundation quality detection method |
CN112942294A (en) * | 2021-05-13 | 2021-06-11 | 西南交通大学 | Roadbed uniformity detection method, device and equipment and readable storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101205715A (en) * | 2007-11-01 | 2008-06-25 | 席宁中 | High embankment compacting foundation detecting and estimating method |
CN102345285A (en) * | 2011-07-11 | 2012-02-08 | 湖南大学 | Soil and stone mixed filling roadbed compaction degree detecting method |
CN102493422A (en) * | 2011-11-11 | 2012-06-13 | 中国民航大学 | Nondestructive testing method for compaction quality of rock-soil filled foundation |
CN102879286A (en) * | 2012-07-26 | 2013-01-16 | 山西省交通科学研究院 | Method for determining resilience modulus parameter of soil foundation of road |
JP2013147882A (en) * | 2012-01-20 | 2013-08-01 | Toa Harbor Works Co Ltd | Calibration method and device for measuring saturation of ground |
CN103469710A (en) * | 2013-09-16 | 2013-12-25 | 叶斌 | Roadbed quality control construction method based on rebound modulus |
-
2014
- 2014-07-28 CN CN201410362998.XA patent/CN104120703B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101205715A (en) * | 2007-11-01 | 2008-06-25 | 席宁中 | High embankment compacting foundation detecting and estimating method |
CN102345285A (en) * | 2011-07-11 | 2012-02-08 | 湖南大学 | Soil and stone mixed filling roadbed compaction degree detecting method |
CN102493422A (en) * | 2011-11-11 | 2012-06-13 | 中国民航大学 | Nondestructive testing method for compaction quality of rock-soil filled foundation |
JP2013147882A (en) * | 2012-01-20 | 2013-08-01 | Toa Harbor Works Co Ltd | Calibration method and device for measuring saturation of ground |
CN102879286A (en) * | 2012-07-26 | 2013-01-16 | 山西省交通科学研究院 | Method for determining resilience modulus parameter of soil foundation of road |
CN103469710A (en) * | 2013-09-16 | 2013-12-25 | 叶斌 | Roadbed quality control construction method based on rebound modulus |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105158436A (en) * | 2015-07-28 | 2015-12-16 | 中铁城市规划设计研究院有限公司 | Detection method for gravel-soil compactness detection index |
CN108396723A (en) * | 2018-01-31 | 2018-08-14 | 甘肃省交通规划勘察设计院股份有限公司 | A kind of highway subgrade compaction quality rapid detection method |
CN109839497A (en) * | 2019-02-15 | 2019-06-04 | 武汉理工大学 | A kind of indoor standardization device and scaling method for middle coarse granule filling compaction detection depth |
CN110512582A (en) * | 2019-08-22 | 2019-11-29 | 长安大学 | A kind of Subgrade Compaction layer detection method |
CN111122664A (en) * | 2020-01-03 | 2020-05-08 | 重庆交通大学 | High-fill foundation overall quality evaluation method |
CN112064617A (en) * | 2020-09-07 | 2020-12-11 | 南方电网能源发展研究院有限责任公司 | Soil-stone mixture foundation quality detection method |
CN112064617B (en) * | 2020-09-07 | 2022-04-05 | 南方电网能源发展研究院有限责任公司 | Soil-stone mixture foundation quality detection method |
CN112942294A (en) * | 2021-05-13 | 2021-06-11 | 西南交通大学 | Roadbed uniformity detection method, device and equipment and readable storage medium |
CN112942294B (en) * | 2021-05-13 | 2021-08-31 | 西南交通大学 | Roadbed uniformity detection method, device and equipment and readable storage medium |
Also Published As
Publication number | Publication date |
---|---|
CN104120703B (en) | 2015-10-07 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104120703B (en) | A kind of soil-stone embankment detection methods of compaction degree | |
Xiao et al. | Strength and deformation of rockfill material based on large-scale triaxial compression tests. I: Influences of density and pressure | |
CN108717082A (en) | A kind of compaction of earth rock material quality continuous assessment method based on integrated sonic detection technology | |
CN104711965B (en) | A kind of Surface wave inversion shear wave velocity divides the method for foundation of gravelly soil degree of compaction | |
CN104931305A (en) | Method and tester for determining relative density sample preparation standard of laboratory scale test on coarse aggregate | |
Mansikkamäki | Effective stress finite element stability analysis of an old railway embankment on soft clay | |
Wang et al. | A laboratory study of the effect of confining pressure on permeable property in soil-rock mixture | |
CN111236199A (en) | Highway subgrade compaction quality rapid detection method based on dynamic resilience modulus | |
Gang et al. | Disturbance of shield tunnel excavation and compensation grouting to surrounding soil: laboratory tests and numerical simulations | |
CN203603007U (en) | Novel highway subgrade quality inspection equipment | |
CN109142108B (en) | Method for evaluating relative compactness of quartz soil based on light dynamic penetration test indexes | |
CN109826175A (en) | A kind of detection method of reinforced soil with geosynthetics filled soils | |
JP5937924B2 (en) | Ground density estimation method, ground landfill management method using this ground density estimation method, ground compaction management method, and caisson filling management method | |
CN104695416A (en) | Roadbed dynamic compaction reinforcement effect evaluation method | |
Lee | Dynamic characteristics of municipal solid waste (MSW) in the linear and nonlinear strain ranges | |
CN101660987B (en) | Heavy hammer and low fall dynamic detection method for heavy tamping or impact rolling and filling of rockfill body | |
Tang et al. | Evaluation of particle size distribution of coal gangue through fractal method in Dongkuang mine, Heshan, China | |
Li et al. | Energy transfer and influencing factors in soil during compaction | |
CN105004619A (en) | Freezing strength on-site fast detection device for backfill soil in frozen soil area | |
Wang et al. | Correlation analysis of quality testing indexes of coarse grained soil subgrade of high-speed railway | |
Petersen et al. | Development of stiffness-based specifications for in-situ embankment compaction quality control | |
Tolba et al. | Comparison Between Light Weight Deflectometer and Nuclear Density Gauge to Assess Compaction Quality of Base Layers | |
Pineda et al. | Stiffness response of residual and saprolitic soils using resonant column and bender element testing techniques | |
Gang et al. | Study of shear wave velocity of macao marine clay under anisotropic stress condition | |
Li et al. | The Applicability of Soil Density Gauge in The Detection of Non-Cohesive Soil |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant |