Most downloaded articles
2013, 41(8):1119-1125.
DOI: 10.3969/j.issn.0253 374x.2013.08.001
Abstract:
The features of seismic analysis of long-span structures and the three methods which are commonly used in analyzing the seismic response of long-span structures under multi-support excitations are briefly stated, and then the research developments of multi-support response spectrum method at home and abroad are presented in detail. Finally, some problems needing further investigations are proposed.
The features of seismic analysis of long-span structures and the three methods which are commonly used in analyzing the seismic response of long-span structures under multi-support excitations are briefly stated, and then the research developments of multi-support response spectrum method at home and abroad are presented in detail. Finally, some problems needing further investigations are proposed.
2016, 44(4):0499-0506.
DOI: 10.11908/j.issn.0253-374x.2016.04.001
Abstract:
In order to quantify the basic physical parameters of steelconcrete interface of composite girders, a series of experiments were conducted to measure the bond strength and friction coefficients of steelconcrete interface with different painting ways which are commonly used in engineering. 16 groups of specimens were designed and tested to measure the shear bond strength of steelconcrete interface with a consideration of the influence of specimen size effect, painting way and normal pressure of the interface. 6 groups of specimens with different painting ways were designed and tested to measure the tensile bond strength of steelconcrete interface. Another 6 groups of specimens with different painting ways were designed and tested to measure the static and dynamic friction coefficient of steelconcrete interface. The results of tests show that the size of steelconcrete interface has little influence on the bond strength, but the painting way of the interface has great effect on the bond strength. With different painting ways, the shear bond strength is between 0.04 and 0.28 MPa, the tensile bond strength is between 0.38 and 0.82 MPa, the static friction coefficient is between 0.73 and 1.06, and the dynamic friction coefficient is between 0.50 and 0.74. The normal pressure and shear bond strength of steelconcrete interface are correlated, which follows the Coulomb friction model.
In order to quantify the basic physical parameters of steelconcrete interface of composite girders, a series of experiments were conducted to measure the bond strength and friction coefficients of steelconcrete interface with different painting ways which are commonly used in engineering. 16 groups of specimens were designed and tested to measure the shear bond strength of steelconcrete interface with a consideration of the influence of specimen size effect, painting way and normal pressure of the interface. 6 groups of specimens with different painting ways were designed and tested to measure the tensile bond strength of steelconcrete interface. Another 6 groups of specimens with different painting ways were designed and tested to measure the static and dynamic friction coefficient of steelconcrete interface. The results of tests show that the size of steelconcrete interface has little influence on the bond strength, but the painting way of the interface has great effect on the bond strength. With different painting ways, the shear bond strength is between 0.04 and 0.28 MPa, the tensile bond strength is between 0.38 and 0.82 MPa, the static friction coefficient is between 0.73 and 1.06, and the dynamic friction coefficient is between 0.50 and 0.74. The normal pressure and shear bond strength of steelconcrete interface are correlated, which follows the Coulomb friction model.
2017, 45(09):1328-1335.
DOI: 10.11908/j.issn.0253-374x.2017.09.011
Abstract:
Turnback capacity have become a major concern for the line capacity of rail transit. Take a rail transit stub-end terminal with four-tail tracks as background, based on N-track integrated model, a mixed integer programming optimization model is formed to estimate the turnback capacity and the track occupation strategies with the objective of minimizing occupation times of trains. Operations and design parameters such as tail track allocation strategies, train layover time, homogeneity of trains are also considered in this model. We illustrated our model using computational experiments drawn from the real rail transit line 16 in Shanghai and reached results which show that how the track occupation strategy, maximum layover time, homogeneity impact on turnback capacity.
Turnback capacity have become a major concern for the line capacity of rail transit. Take a rail transit stub-end terminal with four-tail tracks as background, based on N-track integrated model, a mixed integer programming optimization model is formed to estimate the turnback capacity and the track occupation strategies with the objective of minimizing occupation times of trains. Operations and design parameters such as tail track allocation strategies, train layover time, homogeneity of trains are also considered in this model. We illustrated our model using computational experiments drawn from the real rail transit line 16 in Shanghai and reached results which show that how the track occupation strategy, maximum layover time, homogeneity impact on turnback capacity.
2019, 47(11):1548-1556.
DOI: 10.11908/j.issn.0253-374x.2019.11.003
Abstract:
A numerical computational fluid dynamics (CFD) model to simulate tornado-like vortices was proposed. The tornado-generation mechanism was similar to that of the physical generator developed at Tongji University. The feasibility of this numerical model was verified by comparing the simulation results associated with tornado-like vortices with the experimental and field observation data. Furthermore, the three wind velocity components at tangential, radial and axial directions, wind pressures, vortex radii and turbulence characteristics of tornado-like vortices at three swirl ratios were investigated. The result shows that, with the increase of swirl ratio, the maximum tangential velocity and the radius of vortex core increase when the pressure and the standard deviation of tangential velocity around the tornado-like vortex center decrease. In addition, the single tornado-like vortex gradually breaks down and develops into a double-core structure.
A numerical computational fluid dynamics (CFD) model to simulate tornado-like vortices was proposed. The tornado-generation mechanism was similar to that of the physical generator developed at Tongji University. The feasibility of this numerical model was verified by comparing the simulation results associated with tornado-like vortices with the experimental and field observation data. Furthermore, the three wind velocity components at tangential, radial and axial directions, wind pressures, vortex radii and turbulence characteristics of tornado-like vortices at three swirl ratios were investigated. The result shows that, with the increase of swirl ratio, the maximum tangential velocity and the radius of vortex core increase when the pressure and the standard deviation of tangential velocity around the tornado-like vortex center decrease. In addition, the single tornado-like vortex gradually breaks down and develops into a double-core structure.
2016, 44(2):228-234.
DOI: 10.11908/j.issn.0253-374x.2016.02.010
Abstract:
The policy of new housing industrialization is being implemented by Chinese government, and using industrialization way to build residential buildings has become a hot competitive area to related enterprises. Up to now, industrialized residential buildings with lightweight steel framing system are much close to the industrialized way in manufacturing products in factory and assembling on site, and the construction management of the industrialized residential buildings is the most likely to apply the advanced management concepts and technology of manufacturing industry. In this paper, the main activities, as well as the corresponding information in the whole construction processes were analyzed for industrialized residential buildings with lightweight steel framing system in the information age. Then, a BIMbased information model for the typical industrialization components, i.e., lightweight steel framing walls, was established considering the whole construction processes using the “family” concept of Revit software. Finally, a coding design rule for common components of the industrialized residential buildings was suggested.
The policy of new housing industrialization is being implemented by Chinese government, and using industrialization way to build residential buildings has become a hot competitive area to related enterprises. Up to now, industrialized residential buildings with lightweight steel framing system are much close to the industrialized way in manufacturing products in factory and assembling on site, and the construction management of the industrialized residential buildings is the most likely to apply the advanced management concepts and technology of manufacturing industry. In this paper, the main activities, as well as the corresponding information in the whole construction processes were analyzed for industrialized residential buildings with lightweight steel framing system in the information age. Then, a BIMbased information model for the typical industrialization components, i.e., lightweight steel framing walls, was established considering the whole construction processes using the “family” concept of Revit software. Finally, a coding design rule for common components of the industrialized residential buildings was suggested.
2010, 38(2):238-244.
DOI: 10.3969/j.issn.0253-374x.2010.02.015
Abstract:
Applying graphic developing tools of Halcon and OpenCV on VC++6.0 platform, background subtraction and region-based tracking algorithms are used to realize picking up and tracing the moving vehicle target, and the data is saved synchronously. Transacting the video data information, the track, velocity and the acceleration of conflicting vehicle is calculated respectively, and multi parameter based traffic conflict judging measure is setup. Thus the video-based vehicle conflict automatically detecting system for simple traffic environment is initially developed.
Applying graphic developing tools of Halcon and OpenCV on VC++6.0 platform, background subtraction and region-based tracking algorithms are used to realize picking up and tracing the moving vehicle target, and the data is saved synchronously. Transacting the video data information, the track, velocity and the acceleration of conflicting vehicle is calculated respectively, and multi parameter based traffic conflict judging measure is setup. Thus the video-based vehicle conflict automatically detecting system for simple traffic environment is initially developed.
2010, 38(1).
DOI: 10.3969/j.issn.0253-374x.2010.01.018
Abstract:
Based on the present battery models,a novel non-linear battery model based on equivalent circuit was proposed.Furthermore,a method using Kalman filter to identify the inner resistance of the battery was studied which led to a resistance adaptive battery model.Two experiments, in which the battery underwent different current cycles and different temperatures, were implemented to test the battery model.Results show that the model proposed can describe the dynamic characteristics of the battery pack very well even when the battery pack varies caused by current,state of charge (SOC) and temperature etc.
Based on the present battery models,a novel non-linear battery model based on equivalent circuit was proposed.Furthermore,a method using Kalman filter to identify the inner resistance of the battery was studied which led to a resistance adaptive battery model.Two experiments, in which the battery underwent different current cycles and different temperatures, were implemented to test the battery model.Results show that the model proposed can describe the dynamic characteristics of the battery pack very well even when the battery pack varies caused by current,state of charge (SOC) and temperature etc.
8 A Simulationbased Dynamic Traffic Assignment Model for Incident Management on Hangzhou Bay Bridge
2011, 39(12):1805-1810.
DOI: 10.3969/j.issn.0253-374x.2011.12.014
Abstract:
The object is to develop a simulationbased dynamic traffic assignment model to analyze the impact of various emergency situations and response countermeasures.The analysis was conducted from three perspectives:network,route,and link levels.The effectiveness of route guidance system (RGS) was also assessed.Simulation results reveal that incident duration is the most significant factor for network performance.For traffic crashes,clearance time and quick response are highly recommended.Lane closure has a relatively slight impact due to the low demand.Incidents occurring in the middle of the bridge have more influence on the traffic condition than the upstream.RGS has great potential to alleviate the traffic congestion due to incidents.However,the effectiveness is not consistent with the market penetration of equipped vehicles.
The object is to develop a simulationbased dynamic traffic assignment model to analyze the impact of various emergency situations and response countermeasures.The analysis was conducted from three perspectives:network,route,and link levels.The effectiveness of route guidance system (RGS) was also assessed.Simulation results reveal that incident duration is the most significant factor for network performance.For traffic crashes,clearance time and quick response are highly recommended.Lane closure has a relatively slight impact due to the low demand.Incidents occurring in the middle of the bridge have more influence on the traffic condition than the upstream.RGS has great potential to alleviate the traffic congestion due to incidents.However,the effectiveness is not consistent with the market penetration of equipped vehicles.
2011, 39(9):1350-1354.
DOI: 10.3969/j.issn.0253-374x.2011.09.018
Abstract:
The iterating eigenvalue least-squares is not robust,so an improved statistic analysis method is introduced for fitting a plane to point clouds containing a great amount of outliers.The method is robust iterating least-squares (RILS).Firstly,some plane models are fitted to the local neighborhoods around sample points by moving least-squares (MLS),and then a good model is selected from those models by least median of squares (LMS)and refined to appropriate the whole point set through eliminating those outliers by iterating eigenvalue least-squares.Different from other backward ways,this method is robust,which retains the accuracy of the original method,and furthermore accelerates the convergence of iteration.
The iterating eigenvalue least-squares is not robust,so an improved statistic analysis method is introduced for fitting a plane to point clouds containing a great amount of outliers.The method is robust iterating least-squares (RILS).Firstly,some plane models are fitted to the local neighborhoods around sample points by moving least-squares (MLS),and then a good model is selected from those models by least median of squares (LMS)and refined to appropriate the whole point set through eliminating those outliers by iterating eigenvalue least-squares.Different from other backward ways,this method is robust,which retains the accuracy of the original method,and furthermore accelerates the convergence of iteration.
2013, 41(7):1112.
DOI: 10.3969/j.issn.0253-374x.2013.07.026
Abstract:
For solution of the vehicle-guideway coupling vibration in the maglev system, a new structure of the maglev line system was proposed. With the aim to verify the feasibility of the scheme, a numerical model of the single magnet suspension system on the new line was founded. Using the state observer developed in this paper, the magnetic track's vibration states were introduced to the control system, and a controller was proposed with the state feedback method. The impacts of the main parameters of the new maglev line were investigated in the end. The results shows that the control method can maintain the stability of the maglev system even the cement beam has no damp; The response of magnet has nothing to do with the relative position between the magnet and the cement beam, which makes the design of the controller and the solution of the vehicle-guideway coupling vibration easy; in addition, increasing of the track mass and decreasing of the track pad stiffness are also conductive to the system stability.
For solution of the vehicle-guideway coupling vibration in the maglev system, a new structure of the maglev line system was proposed. With the aim to verify the feasibility of the scheme, a numerical model of the single magnet suspension system on the new line was founded. Using the state observer developed in this paper, the magnetic track's vibration states were introduced to the control system, and a controller was proposed with the state feedback method. The impacts of the main parameters of the new maglev line were investigated in the end. The results shows that the control method can maintain the stability of the maglev system even the cement beam has no damp; The response of magnet has nothing to do with the relative position between the magnet and the cement beam, which makes the design of the controller and the solution of the vehicle-guideway coupling vibration easy; in addition, increasing of the track mass and decreasing of the track pad stiffness are also conductive to the system stability.
2011, 39(8):1233-1237.
DOI: 10.3969/j.issn.0253-374x.2011.08.025
Abstract:
Some improvements were made for normalized cross correlation based on two criterions according to the characteristics of template and image and the interrelationship between them.The autocorrelation of the template was calculated at first,and the cross correlation between template and image was gained based on fast Fourier transform.Then the first criterion was used to shrink the range of the possible solutions, which could shorten the matching time;and the second criterion was applied to generating a more miniature set,in which the solution with the maximal normalized cross correlation was the global optimal solution.Experiments show that the normalized cross correlation based on the given criteria can speed the computing with an enhanced matching precision.
Some improvements were made for normalized cross correlation based on two criterions according to the characteristics of template and image and the interrelationship between them.The autocorrelation of the template was calculated at first,and the cross correlation between template and image was gained based on fast Fourier transform.Then the first criterion was used to shrink the range of the possible solutions, which could shorten the matching time;and the second criterion was applied to generating a more miniature set,in which the solution with the maximal normalized cross correlation was the global optimal solution.Experiments show that the normalized cross correlation based on the given criteria can speed the computing with an enhanced matching precision.
2010, 38(12):1719-1724.
DOI: 10.3969/j.issn.0253-374x.2010.12.001
Abstract:
Generalpurpose nonlinear finiteelement model is characterized by its low efficiency and material,geometric and boundary nonlinear behaviors in shipbridge collision,which is unacceptable to engineers.An alternative timehistory approach is presented to rapidly and reliably evaluate the dynamic demand of bridge structure under ship impact.Energy conservation and momentum conservation equations are established based on the model of two degrees of freedom(DOFs).Then,based on energy conservation equation and the relationship between dynamic impact force to crush depth(namely,curve),the maximum crush depth is determined and the structural elastic potential energy is also discussed.According to the assumed timecrush depth relationship during loading and timeimpact force relationship during unloading,formulae of the time duration of loading and unloading under ship collision are obtained.A procedure of calculating the dynamic demand of bridges is proposed for practical project.Results show the dynamic responses of structure by the proposed method are in agreement with the shipbridge collision model,but the computation efficiency is improved obviously.
Generalpurpose nonlinear finiteelement model is characterized by its low efficiency and material,geometric and boundary nonlinear behaviors in shipbridge collision,which is unacceptable to engineers.An alternative timehistory approach is presented to rapidly and reliably evaluate the dynamic demand of bridge structure under ship impact.Energy conservation and momentum conservation equations are established based on the model of two degrees of freedom(DOFs).Then,based on energy conservation equation and the relationship between dynamic impact force to crush depth(namely,curve),the maximum crush depth is determined and the structural elastic potential energy is also discussed.According to the assumed timecrush depth relationship during loading and timeimpact force relationship during unloading,formulae of the time duration of loading and unloading under ship collision are obtained.A procedure of calculating the dynamic demand of bridges is proposed for practical project.Results show the dynamic responses of structure by the proposed method are in agreement with the shipbridge collision model,but the computation efficiency is improved obviously.
2012, 40(5):0740-0743.
DOI: 10.3969/j.issn.0253-374x.2012.05.016
Abstract:
A grey neural network model is established with a modified particle swarm optimization (PSO) instead of the gradient correction method. The initial positions of the particles are chosen randomly according to the parameters of grey neural networks which are processed through PSO and the best individual in particle swarm algorithm is searched to improve robustness and precision of the forecasting model. Through testing the effect of solving short term order problem, the model proves to be simple with better forecast precision and of a higher approximation capability compared with back propagation(BP) neural network, grey neural network, the traditional particles warm optimizer and BP neural network. The paper presents a new method for optimizing network parameters and some new ideas for researches on forecasting model.
A grey neural network model is established with a modified particle swarm optimization (PSO) instead of the gradient correction method. The initial positions of the particles are chosen randomly according to the parameters of grey neural networks which are processed through PSO and the best individual in particle swarm algorithm is searched to improve robustness and precision of the forecasting model. Through testing the effect of solving short term order problem, the model proves to be simple with better forecast precision and of a higher approximation capability compared with back propagation(BP) neural network, grey neural network, the traditional particles warm optimizer and BP neural network. The paper presents a new method for optimizing network parameters and some new ideas for researches on forecasting model.
2014, 42(10):1596-1603.
DOI: 10.11908/j.issn.0253-374x.2014.10.021
Abstract:
Robot technology is widely applicated in fields such as industral manufacture, medical service, exploration and exploitation, bio engineering, rescue, etc. Traditional robots have rigid underlying structures that limit their ability to interact with their environment. Soft robots are the novel bionic continuum robots, which can change their own size and shape in large range and have great potentials in the unstructured enviroment. This paper presents a review about the bionic mechaism, driving mode, modeling and control strategy for soft bodied robots. Some bottlenecks constraints and feasible solutions of soft robot technology are also summarized by means of analysis and classification. Finally, the trends in robot technology are investigated.
Robot technology is widely applicated in fields such as industral manufacture, medical service, exploration and exploitation, bio engineering, rescue, etc. Traditional robots have rigid underlying structures that limit their ability to interact with their environment. Soft robots are the novel bionic continuum robots, which can change their own size and shape in large range and have great potentials in the unstructured enviroment. This paper presents a review about the bionic mechaism, driving mode, modeling and control strategy for soft bodied robots. Some bottlenecks constraints and feasible solutions of soft robot technology are also summarized by means of analysis and classification. Finally, the trends in robot technology are investigated.
2014, 42(5):0807-0815.
DOI: 10.3969/j.issn.0253 374x.2014.05.024
Abstract:
Cadzow filtering is a well known denoising technique in the seismic signal processing. This method first transforms the data measured in seismic remote sensing into a complex Block Hankel Hankel Block (BHHB) matrix， then it reduces the noise via singular value decomposition (SVD). Usually, the structure of BHHB matrix is ignored in the SVD computation， so that the computational time and memory storage are high especially when the size of matrix is large. This paper presents a fast and stable SVD algorithm for complex BHHB matrices. The fast SVD algorithm consists of two stages: Lanczos bidiagonalization (or tridiagonalization for symmetric BHHB matrix) and diagonalization using twisted factorization. By exploiting the structure of BHHB matrix, the SVD can be accelerated by a fast matrix vector multiplication based on the 1 D Fast Fourier Transform(FFT). Compared to the multi dimensional FFT implementation, the proposed method requires much less memory with the similar computational cost. Numerical experiments support this claim. Finally, the fast SVD method is applied to some seismic examples with the Cadzow filtering technique to reduce noises. It turns out that the proposed method is better than the prediction filtering and it is cost efficient in the speed and memory usage in seismic data processing, especially for large problems.
Cadzow filtering is a well known denoising technique in the seismic signal processing. This method first transforms the data measured in seismic remote sensing into a complex Block Hankel Hankel Block (BHHB) matrix， then it reduces the noise via singular value decomposition (SVD). Usually, the structure of BHHB matrix is ignored in the SVD computation， so that the computational time and memory storage are high especially when the size of matrix is large. This paper presents a fast and stable SVD algorithm for complex BHHB matrices. The fast SVD algorithm consists of two stages: Lanczos bidiagonalization (or tridiagonalization for symmetric BHHB matrix) and diagonalization using twisted factorization. By exploiting the structure of BHHB matrix, the SVD can be accelerated by a fast matrix vector multiplication based on the 1 D Fast Fourier Transform(FFT). Compared to the multi dimensional FFT implementation, the proposed method requires much less memory with the similar computational cost. Numerical experiments support this claim. Finally, the fast SVD method is applied to some seismic examples with the Cadzow filtering technique to reduce noises. It turns out that the proposed method is better than the prediction filtering and it is cost efficient in the speed and memory usage in seismic data processing, especially for large problems.
2011, 39(2):266-270.
DOI: 10.3969/j.issn.0253-374x.2011.02.021
Abstract:
To improve the analysis and design efficiency of McPhersonstrut suspension,a mathematical model of suspension based on force analysis and damping calculation was established.The design procedure of confirming parameters of coil spring stiffness and shock absorber damping based on designed offset frequency and relative damping ratio was put forward,and a set of special software of stiffness and damping parameter analysis and design for McPhersonstrut suspension system was designed.The test results of virtual prototype verify the accuracy of mathematical models and calculating software on stiffness and damping characteristics analysis.
To improve the analysis and design efficiency of McPhersonstrut suspension,a mathematical model of suspension based on force analysis and damping calculation was established.The design procedure of confirming parameters of coil spring stiffness and shock absorber damping based on designed offset frequency and relative damping ratio was put forward,and a set of special software of stiffness and damping parameter analysis and design for McPhersonstrut suspension system was designed.The test results of virtual prototype verify the accuracy of mathematical models and calculating software on stiffness and damping characteristics analysis.
2010, 38(4):604-607.
DOI: 10.3969/j.issn.0253-374x.2010.04.025
Abstract:
The definition of spatial cylindrical surfaces is extended, amplifying on the definition of corresponding planar curves. Fitting of the spatial cylindrical surface using genetic algorithm is suggested in this paper. Taking the fitting of cylinder surface for example, the principle and method of spatial cylindrical surface fitting based on genetic algorithm is described. Express parameters are to be identified in this method. Non-independent parameters are constrained. Objective function is built based on least squares method. Optimization is achieved using GA. The effectiveness and advantage in fitting precision of the method proposed in this paper is testified using an engineering example.
The definition of spatial cylindrical surfaces is extended, amplifying on the definition of corresponding planar curves. Fitting of the spatial cylindrical surface using genetic algorithm is suggested in this paper. Taking the fitting of cylinder surface for example, the principle and method of spatial cylindrical surface fitting based on genetic algorithm is described. Express parameters are to be identified in this method. Non-independent parameters are constrained. Objective function is built based on least squares method. Optimization is achieved using GA. The effectiveness and advantage in fitting precision of the method proposed in this paper is testified using an engineering example.
2012, 40(3):0402-0407.
DOI: 10.3969/j.issn.0253-374x.2012.03.013
Abstract:
This paper designed and condeuced a ten-story frame model about shaking table test, carried out the model test under low frequency,medium frequency and high frequency respectly.According model test results,using different analysis methods, including free vibration attenuation, half-power spectrum method and HHT method. Acquire the first three natural frequency and correspond model damping ratio.Then conduced the corresponding numerical simulation of the model test use Rayleigh and Caughey damp assumption.And compared the differences between different damping models.Described how to make more reasonable simulation according experiment result detailed.
This paper designed and condeuced a ten-story frame model about shaking table test, carried out the model test under low frequency,medium frequency and high frequency respectly.According model test results,using different analysis methods, including free vibration attenuation, half-power spectrum method and HHT method. Acquire the first three natural frequency and correspond model damping ratio.Then conduced the corresponding numerical simulation of the model test use Rayleigh and Caughey damp assumption.And compared the differences between different damping models.Described how to make more reasonable simulation according experiment result detailed.
2018, 46(07):0972-0981.
DOI: 10.11908/j.issn.0253-374x.2018.07.016
Abstract:
In this paper, the propagation process of “fault-error-exception” chain in programs is analyzed by fault injection experiments. With representation of the exception control flow at function level, the error and its impact on program behavior are analyzed, a model of erroneous program behavior is established. An automatic analysis tool based on the proposed approach is developed and is used to analyze the erroneous behaviors of the significant components in OpenStack. The experimental results validate the validity and rationality of the proposed approach, which provides a new means to automatically analyze the erroneous behavior and collect the valid error set for largescale programs with exception handling mechanism.
In this paper, the propagation process of “fault-error-exception” chain in programs is analyzed by fault injection experiments. With representation of the exception control flow at function level, the error and its impact on program behavior are analyzed, a model of erroneous program behavior is established. An automatic analysis tool based on the proposed approach is developed and is used to analyze the erroneous behaviors of the significant components in OpenStack. The experimental results validate the validity and rationality of the proposed approach, which provides a new means to automatically analyze the erroneous behavior and collect the valid error set for largescale programs with exception handling mechanism.
2009, 37(12).
DOI: 10.3969/j.issn.0253-374x.2009.12.020
Abstract:
According to theory of photogrammetry image matching, registration problems about multistation point clouds are analyzed.Then,error propagation rules are discussed in detail and error propagation model for point clouds registration is established.By experiments,the quantitative relationship between precision of point clouds and model accumulation errors is verified,and which can be used to evaluate registration quality of point clouds.
According to theory of photogrammetry image matching, registration problems about multistation point clouds are analyzed.Then,error propagation rules are discussed in detail and error propagation model for point clouds registration is established.By experiments,the quantitative relationship between precision of point clouds and model accumulation errors is verified,and which can be used to evaluate registration quality of point clouds.
