CN106126837A - A kind of soft base sluice sluice foundation comes to nothing area recognizing method - Google Patents
A kind of soft base sluice sluice foundation comes to nothing area recognizing method Download PDFInfo
- Publication number
- CN106126837A CN106126837A CN201610498957.2A CN201610498957A CN106126837A CN 106126837 A CN106126837 A CN 106126837A CN 201610498957 A CN201610498957 A CN 201610498957A CN 106126837 A CN106126837 A CN 106126837A
- Authority
- CN
- China
- Prior art keywords
- nothing
- sluice
- coming
- region
- parameter
- 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
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/30—Circuit design
- G06F30/36—Circuit design at the analogue level
- G06F30/367—Design verification, e.g. using simulation, simulation program with integrated circuit emphasis [SPICE], direct methods or relaxation methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
Abstract
A kind of soft base sluice sluice foundation comes to nothing area recognizing method, including according to actual water gate engineering data and data, utilizes finite element software to set up sluice FEM (finite element) model;Region parameter of coming to nothing of coming to nothing describes, and as corrected parameter, sluice foundation parametric inversion result of coming to nothing will be used for indicating the actual situation of coming to nothing of structure;Set up the response surface model that sluice foundation comes to nothing between parameter and modal parameters;Carry out sluice sluice foundation based on modal parameters to come to nothing region inverting identification.The present invention can recognize that the sluice sluice foundation under normal operating conditions comes to nothing situation, it is to avoid boring and coring etc. damages the detection method destruction to sluice structure, has higher economic benefit and practical value.The present invention utilizes structure boundary state identification algorithm, can be directly based upon the region of coming to nothing of sluice structure Modal Parameter Identification sluice plate ground, solves sluice foundation and comes to nothing the problem being difficult to assess, and has higher engineer applied and is worth.
Description
Technical field
The present invention relates to a kind of soft base sluice sluice foundation come to nothing area recognizing method.
Background technology
In running, by flow action, easily there is phenomenon of coming to nothing, and then causes uneven sinking in sluice sluice foundation
Fall into, silt washes in a pan the diseases such as empty.Building the sluice on soft base or sand base in, sluice foundation phenomenon of coming to nothing becomes apparent from.Owing to coming to nothing, phenomenon goes out
The most under water at concealed structure, it is difficult to find in manual security checks;Even if using the local Non-Destructive Testing skills such as GPR
Art, also can lose efficacy because sluice sluice foundation base plate thickness is excessive.Therefore, study effective soft base sluice sluice foundation to come to nothing region detection side
Method is of great significance for the safe operation tool ensureing hydro-structure and is worth.
System identification algorithm based on dynamic response is used for the identification of structural material parameter, i.e. joins according to structural modal
The dynamic responses such as number, displacement time-histories, the Inversion Calculation rigidity of structure, damping etc. change, thus obtain and the actual knot more met
Structure model;But this kind of algorithm can not be directly used in the identification of Boundary Conditions in Structures, situation of the most just sluice substrate cannot being come to nothing
It is analyzed.
Summary of the invention
It is an object of the invention to based on sluice dynamic response, set up a kind of soft base sluice sluice foundation and come to nothing area recognizing method.
I.e. coming to nothing situation of change when occurring at sluice foundation according to modal parameters, inverting sluice foundation base plate comes to nothing parameter, thus indicates soft
The region of coming to nothing of base sluice sluice foundation, provides technical method in time detection sluice foundation state of coming to nothing.
Recognition methods step of the present invention is as follows:
1., according to actual water gate engineering data and data, utilize finite element software to set up sluice FEM (finite element) model;
2. region parameter of coming to nothing of coming to nothing describes, and as corrected parameter, sluice foundation parametric inversion result of coming to nothing will be used for referring to
Show the actual situation of coming to nothing of structure;
For describing sluice plate foundation void situation, set up sluice sluice foundation and come to nothing situation schematic model, as it is shown in figure 1, recessed
Bathtub construction represents simplification sluice structure, and elongated rectangular shape represents that ground, strip Foundation Part area of absence are sluice sluice foundation
Come to nothing region.
For the ease of numerical simulation, by region n independent parameter d of coming to nothing of coming to nothingi(i=1,2...n) describe.Come to nothing
Parameter diSpan control in less than half of sluice plate length, preventing from coming to nothing, region is excessive causes sluice entirety to occur
Topple.
Sluice substrate region of coming to nothing mostly is a continuous print UNICOM region, therefore, uses sectional broken line to describe district of coming to nothing
Territory and the demarcation line in non-region of coming to nothing.As in figure 2 it is shown, region 1 is base plate foundation void region, region 2 is base plate foundation void
Region.Along Transverse to the flow direction, i.e. x-axis direction, the n section by base plate ground decile;At each waypoint xiPlace, if coming to nothing region
The degree of depth is di(i=0,1,2 ..., n);Then, substrate is come to nothing the demarcation line available segment linear interpolation in region and non-region of coming to nothing
Function represents, i.e. has
Wherein, the floor length of L Transverse to the flow direction.
3. set up the response surface model that sluice foundation comes to nothing between parameter and modal parameters.
For setting up the explicit relation that sluice foundation base plate comes to nothing between parameter and modal parameters, response surface equation is tied as reality
The agent model of structure is used for state inverting of coming to nothing.It is as follows that concrete response surface equation sets up process:
(1) independent variable screening: using parameter of coming to nothing as basic input variable, use Latin Hypercube Sampling method, determine
Input variable sample set.
(2) dependent variable screening: choose the vibration shape value on each order frequency and the bigger node of amplitude as output variable, for respectively
Independent variable sample point, utilizes Finite Element Method to obtain corresponding modal parameters, thus generates dependent variable collection.
(3) response surface matching: select suitable functional form, according to independent variable collection and corresponding dependent variable collection, utilizes back
Return the coefficient in analytical calculation response surface equation.
Through contrasting the fitting effect of dissimilar polynomial response surface, this patent selects three times and without three cross terms
Response surface equation sluice structure modal parameter and the relation coming to nothing between parameter described:
In formula: yrsRepresent natural frequency or the node vibration shape value of response surface output parameter, i.e. sluice structure;diRepresent response
Face input parameter, i.e. sluice sluice foundation are come to nothing parameter;β is response surface equation undetermined coefficient, nonlinear regression analysis obtain optimum
Estimated value.
(4) response surface precision checking: utilize certain evaluation index to verify the response surface precision set up.
For ensureing the precision of response surface equation, first when setting up response surface model, need to utilize multiple correlation coefficient etc. to refer to
Mark evaluation equation fitting effect on sample point set;Generate verification sample set and then, compare Response surface meth od and finite element
Method result of calculation on checksum set, utilize result relative error build response surface precision index:
E=(yrs-y)/y (3)
In formula: yrsRepresent the value of calculation of response surface equation;Y represents the value of calculation of finite element software.
4. carry out sluice sluice foundation based on modal parameters to come to nothing region inverting identification
Sluice sluice foundation state of coming to nothing is different, and the boundary condition of meaning structure is different, and modal parameters also can occur accordingly
Change.Therefore, can come to nothing parameter by constantly adjusting sluice foundation so that computation model modal parameter and practical structures modal parameter
Difference reduce as far as possible.This is a typical optimization problem, and the modal parameter that then may utilize sluice sets up parameter of coming to nothing
The object function of inverting optimization problem:
In formula: fi *Represent structure frequency (FEM calculation or field measurement);fiRepresent that response surface model calculates frequency;i
Represent natural frequency exponent number;φi *(xj) represent structure measuring point j the i-th first order mode value of calculation or measured value;φi(xj) represent by ringing
The i-th first order mode value of the measuring point j that the face Equation for Calculating of answering obtains;N represents measuring point total number;M represents rank number of mode used.
Solving of optimization problem can be realized by genetic algorithm, and the parameter of coming to nothing of the sluice foundation in optimal result i.e. may indicate that structure
The situation of coming to nothing on basis, it is achieved the identification of structure boundary state.
The invention have the benefit that
1, the present invention is come to nothing region based on modal parameters identification sluice foundation, belongs to lossless detection method, recognizable normal
Sluice sluice foundation under duty comes to nothing situation, it is to avoid boring and coring etc. damages the detection method destruction to sluice structure, tool
There are higher economic benefit and practical value.
2, sluice sluice foundation comes to nothing the hidden region that region is below sluice plate, it is difficult to detection row in normal safe checks
Look into.The present invention utilizes structure boundary state identification algorithm, can be directly based upon sluice structure Modal Parameter Identification sluice plate ground
Region of coming to nothing, solve sluice foundation and come to nothing the problem being difficult to assess, there is higher engineer applied and be worth.
Accompanying drawing explanation
Fig. 1 is that sluice plate foundation void simulates schematic diagram;
In figure, a. sluice structure b. sluice plate ground c. sluice foundation void region;
Fig. 2 is sluice plate foundation void parameter description figure;
In figure, abscissa is Transverse to the flow direction floor length (unit: m), and vertical coordinate is along water (flow) direction floor length
(unit: m);1. come to nothing region and do not come to nothing regional boundary line in region 3. of not coming to nothing, region 2. of coming to nothing;
Fig. 3 is entity sluice model schematic;
In figure, black round dot represents measuring point;
Operating mode one recognition result when Fig. 4 a is noiseless;
In figure, 4a1. comes to nothing region;4a2. does not comes to nothing region;4a3. comes to nothing region and the regional boundary line identification knot that do not comes to nothing
Really;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode one recognition result when Fig. 4 b is 3% noise;In figure, 4b1. comes to nothing region.4b2. does not comes to nothing region.4b3. it is de-
Dummy section and the regional boundary line recognition result that do not comes to nothing;Abscissa is Transverse to the flow direction floor length (unit: m), and vertical coordinate is
Along water (flow) direction floor length (unit: m);
Operating mode one recognition result when Fig. 4 c is 5% noise;In figure, the 4c1. region 4c2. region 4c3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode two recognition result when Fig. 5 a is noiseless;In figure, the 5a1. region 5a2. region 5a3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode two recognition result when Fig. 5 b is 3% noise;In figure, the 5b1. region 5b2. region 5b3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode two recognition result when Fig. 5 c is 5% noise;In figure, the 5c1. region 5c2. region 5c3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m)。
Operating mode three recognition result when Fig. 6 a is noiseless;In figure, the 6a1. region 6a2. region 6a3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode three recognition result when Fig. 6 b is 3% noise;In figure, the 6b1. region 6b2. region 6b3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m);
Operating mode three recognition result when Fig. 6 c is 5% noise;In figure, the 6c1. region 6c2. region 6c3. that do not comes to nothing that comes to nothing comes to nothing
Region and the regional boundary line recognition result that do not comes to nothing;
Abscissa is Transverse to the flow direction floor length (unit: m), vertical coordinate be along water (flow) direction floor length (unit:
m)。
Detailed description of the invention
The present invention will be described further by following example
One, numerical simulation embodiment:
Model is set up as a example by certain actual sluice, and the FEM (finite element) model of structure uses 3D solid unit, and material parameter takes
Value is: elastic modelling quantity 30GPa, Poisson's ratio 0.3, density 2500kg/m3.Model structure size is respectively as follows: and is perpendicular to water (flow) direction
A length of 13.5m, a length of 14.5m of downbeam, from base plate bottom layer to the height in bridge face be 19m;Base arrangement is teeth groove
Type, two-end thickness is 3m, and interior thickness is 1.5m;Barricade thickness is 1.5m, and height is 13m (at service bridge), 16m, barricade one
End has prominent structure;Service bridge is T-shaped, and only web is affixed with barricade, and other are freely.Model basis uses has identical elasticity
The lukewarm boiled water of foundation stiffness is simulated, value 3 × 109N/m.Model only applies constraint on base plate four limit, and each edge is only
Apply to be perpendicular to the constraint on this limit, the translation planar of Controlling model base plate.
Actual situation of coming to nothing based on sluice structure, constructs three kinds of operating modes of typically coming to nothing, and i.e. unilateral sluice foundation comes to nothing (operating mode
One), both sides sluice foundation comes to nothing simultaneously and comes to nothing (operating mode three) in the middle part of (operating mode two), sluice foundation.Meanwhile, 5 parameters of coming to nothing are used to describe
Situation of coming to nothing bottom sluice foundation.
Table 1 sluice plate comes to nothing operating mode
Come to nothing parameter | d1/m | d2/m | d3/m | d4/m | d5/m |
Operating mode one | 6.8237 | 5.7075 | 4.1901 | 2.6901 | 0.5355 |
Operating mode two | 6.5547 | 4.4209 | 0.2127 | 2.1605 | 4.8749 |
Operating mode three | 0.4775 | 4.7933 | 7.4130 | 4.4009 | 2.6916 |
Extract first three rank eigenfrequncies and vibration models of structure that under different operating mode of coming to nothing, numerical simulation obtains, and apply white Gaussian
As structure measured data after noise.Adding formula of making an uproar is:
ψ*=ψ × (1+ γ Ri) (5)
In formula: ψ*Represent respectively with ψ measuring point n at the frequency added before and after making an uproar and Data of Mode, γ is noise level, RiRepresent
Average is 0, variance is the stochastic variable of 1.Sample calculation analysis considers noiseless, 3% noise and three kinds of feelings of 5% noise respectively
Condition.
Consider the sensitivity that sluice foundation is come to nothing by field measurement condition and measuring point, choose sluice structure top barricade and work
Make eight points on bridge as actual measurement measuring point.As it is shown on figure 3, eight measuring points before, during and after two lateral retaining walls each respectively, work
Before and after making in the middle part of bridge each one.Modal parameter measurement result according to each measuring point, according to the art of this patent embodiment, difference is made an uproar
In the case of sound, the sluice foundation situation identification result that comes to nothing, respectively as shown in table 2-table 4, comes to nothing region recognition result accordingly and truly comes to nothing
Region the most as Figure 4-Figure 6.
Table 2 comes to nothing parameter recognition result (noiseless)
Come to nothing parameter | d1/m | d2/m | d3/m | d4/m | d5/m |
Operating mode one | 6.6873 | 5.9903 | 3.4727 | 3.0045 | 1.1592 |
Operating mode two | 6.9936 | 3.6279 | 0.9582 | 1.7388 | 2.9820 |
Operating mode three | 0.0000 | 6.7387 | 7.0000 | 4.8582 | 1.9405 |
Table 3 comes to nothing parameter recognition result (3% noise)
Come to nothing parameter | d1/m | d2/m | d3/m | d4/m | d5/m |
Operating mode one | 6.8437 | 4.8570 | 5.8885 | 3.4152 | 0.1318 |
Operating mode two | 6.0856 | 4.2400 | 0.3782 | 2.0223 | 2.0773 |
Operating mode three | 0.0000 | 6.9932 | 7.0000 | 5.0364 | 1.7074 |
Table 4 comes to nothing parameter recognition result (5% noise)
Come to nothing parameter | d1/m | d2/m | d3/m | d4/m | d5/m |
Operating mode one | 5.9093 | 5.4599 | 6.1081 | 4.6577 | 0.0000 |
Operating mode two | 7.0000 | 2.8321 | 1.6327 | 0.0476 | 5.7390 |
Operating mode three | 0.2525 | 6.3987 | 7.0000 | 4.4007 | 2.3999 |
From Fig. 4-Fig. 6 recognition result, modal parameter inverting the sluice foundation obtained comes to nothing parameter can relatively accurately district
Divide and come to nothing and non-region of coming to nothing.Along with the increase of noise, parameter of coming to nothing identification error slightly increases;Even if reaching at level of noise
In the case of 5%, parameter envelope is come to nothing in sluice foundation substrate still can be the most identical with actual region of coming to nothing, and has preferably instruction
Effect.
Claims (1)
1. a soft base sluice sluice foundation comes to nothing area recognizing method, it is characterised in that:
A. according to actual water gate engineering data and data, finite element software is utilized to set up sluice FEM (finite element) model;
B. region parameter of coming to nothing of coming to nothing describes, and as corrected parameter, sluice foundation parametric inversion result of coming to nothing will be used for indicating knot
The actual situation of coming to nothing of structure;
For describing sluice plate foundation void situation, set up sluice sluice foundation and come to nothing situation schematic model, as it is shown in figure 1, groove type
Representation simplifies sluice structure, and elongated rectangular shape represents that ground, strip Foundation Part area of absence are sluice sluice foundation and come to nothing
Region;
For the ease of numerical simulation, by region n independent parameter d of coming to nothing of coming to nothingi(i=1,2...n) describes;Come to nothing parameter
diSpan control in less than half of sluice plate length, preventing from coming to nothing, region is excessive causes sluice entirety to be inclined
Cover;
Sluice substrate region of coming to nothing mostly is a continuous print UNICOM region, therefore, use sectional broken line describe come to nothing region with
The demarcation line in non-region of coming to nothing;As in figure 2 it is shown, region 1 is base plate foundation void region, region 2 is base plate foundation void region;
Along Transverse to the flow direction, i.e. x-axis direction, the n section by base plate ground decile;At each waypoint xiPlace, if coming to nothing regional depth
For di(i=0,1,2 ..., n);Then, substrate is come to nothing the demarcation line available segment linear interpolation function in region and non-region of coming to nothing
Represent i.e. have
Wherein, the floor length of L Transverse to the flow direction;
C. the response surface model that sluice foundation comes to nothing between parameter and modal parameters is set up;
For setting up the explicit relation that sluice foundation base plate comes to nothing between parameter and modal parameters, response surface equation is as practical structures
Agent model is used for state inverting of coming to nothing;It is as follows that concrete response surface equation sets up process:
(1) independent variable screening: using parameter of coming to nothing as basic input variable, use Latin Hypercube Sampling method, determine input
Variable sample set;
(2) dependent variable screening: choose vibration shape value on each order frequency and the bigger node of amplitude as output variable, for each becoming
Amount sample point, utilizes Finite Element Method to obtain corresponding modal parameters, thus generates dependent variable collection;
(3) response surface matching: select suitable functional form, according to independent variable collection and corresponding dependent variable collection, utilizes to return and divides
Analysis calculates the coefficient in response surface equation;
Through contrasting the fitting effect of dissimilar polynomial response surface, select three times and response surface side without three cross terms
Journey describes sluice structure modal parameter and the relation coming to nothing between parameter:
In formula: yrsRepresent natural frequency or the node vibration shape value of response surface output parameter, i.e. sluice structure;diRepresent that the response surface is defeated
Enter parameter, i.e. sluice sluice foundation comes to nothing parameter;β is response surface equation undetermined coefficient, nonlinear regression analysis obtain optimal estimation
Value;
(4) response surface precision checking: utilize certain evaluation index to verify the response surface precision set up;
For ensureing the precision of response surface equation, first when setting up response surface model, need to utilize the indexs such as multiple correlation coefficient to comment
Valency equation fitting effect on sample point set;Generate verification sample set and then, compare Response surface meth od and Finite Element Method
Result of calculation on checksum set, utilize result relative error build response surface precision index:
E=(yrs-y)/y (3)
In formula: yrsRepresent the value of calculation of response surface equation;Y represents the value of calculation of finite element software;
D. carry out sluice sluice foundation based on modal parameters to come to nothing region inverting identification
Sluice sluice foundation state of coming to nothing is different, and the boundary condition of meaning structure is different, and modal parameters also can occur to become accordingly
Change;Therefore, come to nothing parameter by constantly adjusting sluice foundation so that the difference of computation model modal parameter and practical structures modal parameter
Reduce as far as possible;This is a typical optimization problem, utilizes the modal parameter of sluice to set up parametric inversion optimization problem of coming to nothing
Object function:
In formula: fi *Represent structure frequency (FEM calculation or field measurement);fiRepresent that response surface model calculates frequency;I represents
Natural frequency exponent number;Represent i-th first order mode value of calculation or the measured value of structure measuring point j;φi(xj) represent by response surface side
The i-th first order mode value of journey calculated measuring point j;N represents measuring point total number;M represents rank number of mode used.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610498957.2A CN106126837B (en) | 2016-06-30 | 2016-06-30 | A kind of soft base sluice sluice foundation comes to nothing area recognizing method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201610498957.2A CN106126837B (en) | 2016-06-30 | 2016-06-30 | A kind of soft base sluice sluice foundation comes to nothing area recognizing method |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106126837A true CN106126837A (en) | 2016-11-16 |
CN106126837B CN106126837B (en) | 2019-02-01 |
Family
ID=57285823
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201610498957.2A Active CN106126837B (en) | 2016-06-30 | 2016-06-30 | A kind of soft base sluice sluice foundation comes to nothing area recognizing method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106126837B (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107843334A (en) * | 2017-12-07 | 2018-03-27 | 广东省水利水电科学研究院 | The intelligent monitor system that a kind of soft base sluice plate comes to nothing |
CN108733938A (en) * | 2018-05-28 | 2018-11-02 | 四川大学 | A kind of sluice sluice foundation coating permeability inversion analysis method |
CN109858064A (en) * | 2018-11-22 | 2019-06-07 | 南昌大学 | A kind of dam and foundation elasticity modulus dynamic inversion method based on field test response |
CN111691358A (en) * | 2020-06-18 | 2020-09-22 | 河海大学 | Gravity dam apparent crack risk prediction method and system |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103345557A (en) * | 2013-07-05 | 2013-10-09 | 重庆科技学院 | Bridge pier physical structure parameter identification method and device on condition of all-unknown wave force |
US20140052379A1 (en) * | 2011-02-25 | 2014-02-20 | University Of Florida Research Foundation, Inc. | Detection of sinkholes or anomalies |
CN103632038A (en) * | 2013-11-13 | 2014-03-12 | 中国科学院力学研究所 | Automatic batch checking calculation method for safety of submarine pipeline suspended span sections |
-
2016
- 2016-06-30 CN CN201610498957.2A patent/CN106126837B/en active Active
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20140052379A1 (en) * | 2011-02-25 | 2014-02-20 | University Of Florida Research Foundation, Inc. | Detection of sinkholes or anomalies |
CN103345557A (en) * | 2013-07-05 | 2013-10-09 | 重庆科技学院 | Bridge pier physical structure parameter identification method and device on condition of all-unknown wave force |
CN103632038A (en) * | 2013-11-13 | 2014-03-12 | 中国科学院力学研究所 | Automatic batch checking calculation method for safety of submarine pipeline suspended span sections |
Non-Patent Citations (2)
Title |
---|
曹邱林等: "微桩群复合地基水闸闸室结构有限元分析", 《人民长江》 * |
李火坤等: "偏心荷载作用下弧形闸门支臂的动力稳定性研究", 《南昌大学学报·工科版》 * |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107843334A (en) * | 2017-12-07 | 2018-03-27 | 广东省水利水电科学研究院 | The intelligent monitor system that a kind of soft base sluice plate comes to nothing |
CN108733938A (en) * | 2018-05-28 | 2018-11-02 | 四川大学 | A kind of sluice sluice foundation coating permeability inversion analysis method |
CN109858064A (en) * | 2018-11-22 | 2019-06-07 | 南昌大学 | A kind of dam and foundation elasticity modulus dynamic inversion method based on field test response |
CN109858064B (en) * | 2018-11-22 | 2021-07-20 | 南昌大学 | Dam and foundation elastic modulus dynamic inversion method based on prototype vibration response |
CN111691358A (en) * | 2020-06-18 | 2020-09-22 | 河海大学 | Gravity dam apparent crack risk prediction method and system |
Also Published As
Publication number | Publication date |
---|---|
CN106126837B (en) | 2019-02-01 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Soares-Frazão et al. | Two-dimensional shallow-water model with porosity for urban flood modelling | |
CN106126837A (en) | A kind of soft base sluice sluice foundation comes to nothing area recognizing method | |
Grimaldi et al. | Effective representation of river geometry in hydraulic flood forecast models | |
Morales-Hernández et al. | A conservative strategy to couple 1D and 2D models for shallow water flow simulation | |
Parloo et al. | Sensitivity-based operational mode shape normalisation: Application to a bridge | |
Zou et al. | Impedance model of train-induced vibration transmission across a transfer structure into an overtrack building in a metro depot | |
Žnidarič et al. | Improved accuracy and robustness of bridge weigh-in-motion systems | |
Keenahan et al. | Determination of road profile using multiple passing vehicle measurements | |
CN110334393B (en) | Rail transit environment vibration prediction method, prediction system and vibration reduction measure evaluation method | |
Keller et al. | Determining soil stress beneath a tire: measurements and simulations | |
Shirzad‐Ghaleroudkhani et al. | Bayesian identification of soil‐foundation stiffness of building structures | |
Fent et al. | Modeling shallow water flows on general terrains | |
CN100523431C (en) | Method for simulating oil-water two-phase cable formation testing | |
CN110414150B (en) | Tensor subspace continuous system identification method of bridge time-varying system | |
Tchemodanova et al. | Strain predictions at unmeasured locations of a substructure using sparse response-only vibration measurements | |
Impraimakis et al. | Input–parameter–state estimation of limited information wind‐excited systems using a sequential Kalman filter | |
Roux et al. | Sensitivity analysis and predictive uncertainty using inundation observations for parameter estimation in open-channel inverse problem | |
Parloo et al. | Autonomous structural health monitoring—Part II: Vibration-based in-operation damage assessment | |
van der Westhuizen et al. | Development of a New Fundamental Period Formula for Steel Structures Considering the Soil-structure Interaction with the Use of Machine Learning Algorithms. | |
Obermayer et al. | Different approaches for modelling of sewer caused urban flooding | |
CN115983072A (en) | Bridge seismic time-course response analysis method driven by physics and data in combined mode | |
Jin et al. | Gaussian process-assisted active learning for autonomous data acquisition of impact echo | |
Rainieri et al. | Performance assessment of selected OMA techniques for dynamic identification of geotechnical systems and closely spaced structural modes | |
Soroushian et al. | Estimation of vertical floor displacement using a wavelet de-noising method | |
Bau et al. | Testing a data assimilation approach to reduce geomechanical uncertainties in modelling land subsidence |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |