98 results about "Inverse analysis" patented technology

An inverse analysis method for characterizing diffusion of vapor from an underground source of volatile contaminant using data taken by an in-situ sensor. The method uses one-dimensional solutions to the diffusion equation in Cartesian, cylindrical, or spherical coordinates for isotropic and homogenous media. If the effective vapor diffusion coefficient is known, then the distance from the source to the in-situ sensor can be estimated by comparing the shape of the predicted time-dependent vapor concentration response curve to the measured response curve. Alternatively, if the source distance is known, then the effective vapor diffusion coefficient can be estimated using the same inverse analysis method. A triangulation technique can be used with multiple sensors to locate the source in two or three dimensions. The in-situ sensor can contain one or more chemiresistor elements housed in a waterproof enclosure with a gas permeable membrane.

A self-optimizing, inverse analysis method for parameter identification of nonlinear material constitutive models utilizes the global force and displacement boundary loadings that are experimentally identified to globally search for initial constitutive parameters using a genetic algorithm. The initially identified constitutive parameters are then iteratively optimized by a simplex method in which two nonlinear finite element analyses are conducted in parallel using updated material constitutive parameters under the experimentally measured force and displacement boundary loadings. Stress and strain values for both the force and displacement finite element analyses are then input into an implicit objection function. Finally, the simplex optimization is performed for a number of predetermined number of iterations, whereupon the start of each new iteration utilizes the previously optimized set of constitutive parameters.

The invention discloses a nonlinear inverse control method used for dynamic hysteresis compensation of a piezoelectric actuator. Nonlinear inverse control of the piezoelectric actuator is performed based on a Prandtl-Ishlinskii model by aiming at the problem that most models cannot perform accurate inverse analysis for the modeling difficulty of a dynamic hysteresis system; a dynamic critical value related to the input frequency is established to obtain a rate-dependent play operator, and the rate-dependent play operator is combined with a density function so as to obtain a rate-dependent Prandtl-Ishlinskii model; a hysteresis main ring is measured under different input frequencies so as to determine model parameters; the inverse parameters of the model are inversely solved by solving an initial load curve so as to obtain a rate-dependent Prandtl-Ishlinskii inverse model; and the Prandtl-Ishlinskii model and the inverse model thereof are used for an open-loop control system so as to compensate the hysteresis nonlinear property of the piezoelectric actuator. The experiment proves that the rate-dependent Prandtl-Ishlinskii model can accurately describe the hysteresis nonlinearity of the piezoelectric actuator and the rate-dependent Prandtl-Ishlinskii inverse model enhances the positioning and control precision of a hysteresis nonlinear system.

An acoustic-propagation-time measuring apparatus includes an acoustic transmitting and receiving section having an acoustic element capable of transmitting and receiving acoustic waves, an A/D converter which converts an echo signal reflected from a target object to be measured into a digital signal, an inverse-analysis section that converts the digital echo signal into an impulse signal through inverse analysis where the digital echo signal is multiplied by an inverse matrix, a calculating section that measures an acoustic propagation time and a time difference based on the digital echo signal converted to the impulse signal, and a display section which displays the acoustic propagation time and time difference calculated by the calculating section.

This invention puts forward a two-way system for an IC design, a system merging an inverse analysis and positive design. At the present market, an IC analyzer is needed to analyze ready-made chips and the inverse analysis technology is invented for it. On the other hand, the positive design technology is to design chips normally from logic description to the final artwork design. Some parts are compensated and compatible and the invention combines the inverse analysis with the positive design technology to a unified system.

The invention discloses a hydration degree measurement method for cement-based materials based on nuclear magnetic resonance, which belongs to the technical field of cement material measurement. The hydration degree measurement method disclosed by the invention adopts a nuclear magnetic resonance technique to test nuclear magnetic signals of the cement-based materials at different ages; a relation between transverse relaxation time and the nuclear magnetic signals is obtained by inverse analysis; furthermore, a ratio of nuclear magnetic semaphores of left and right peaks is taken as a nuclear magnetic signal ratio of gel pore water and capillary pore water, and then the hydration degree of the cement-based materials to be detected at the age is solved according to a Powers model. Compared with traditional methods including a muffle furnace method and the like, the hydration degree measurement method disclosed by the invention is a nondestructive testing method, can reduce operation steps of a test greatly and shorten a testing period greatly, and can be used for monitoring samples continuously so as to ensure that the errors of test results are small; meanwhile, the method disclosed by the invention does not need to calibrate nuclear magnetic resonance semaphores and sample water content and directly adopts the ratio of the nuclear magnetic semaphores of the left and right peaks, namely a microstructure factor, as a parameter to represent the hydration degree, and therefore, measurement procedures and errors are reduced.

The invention provides a multi-means, dynamic and whole-process landslide prewarning method. The method includes: performing macroscopic observation, engineering exploration data monitoring and displacement monitoring on landslide; performing macro damage phenomenon analysis and influence factor analysis according to a result of macro observation; building a numerical value model and performing parameter indicator determination according to a result of engineering exploration data monitoring; performing displacement back analysis and displacement tendency analysis according to a result of displacement monitoring; building a correcting numerical value model according to influence factor analysis and the built numerical value model; determining calculating parameters through parameter indicator determination and displacement back analysis; performing numerical value analog calculation analysis according to the correcting numerical value calculating model and the calculating parameters; calculating a displacement-time curve under a series of different stability safe coefficients according to numerical value analog calculation analysis; drawing a monitoring displacement-time curve according to displacement tendency analysis; comparing the above two curves to determine stability state of the landslide. By the method, landslide disaster recognition, prewarning and control level can be improved effectively.

The invention relates to an early warning method for a sudden gushing water danger of an undersea tunnel. The early warning method for the sudden gushing water danger of the undersea tunnel includes that step S1, using a geophysical exploration method and an advanced geological drilling method to extract rock and soil test samples, and performing indoor physical and mechanical tests and a penetration test; step S2, monitoring and measuring measured data, surrounding rock and vault sedimentation and side wall displacement in the field, and building a grey cusp catastrophe time forecasting model for the instability of a surrounding rock or surrounding rock-primary support system; step S3, obtaining surrounding rock support design parameters through a parabolic vertex numerical inverse analysis method; step S4, building a visco-elastic plastic model of the surrounding rock or surrounding rock-primary support system of the undersea tunnel under high pressure water based on an ABAQUS platform simulation software according to the step S1, step S2 and step S3 to early warn the danger. The early warning method for the sudden gushing water danger of the undersea tunnel is capable of improving the reasonable design, safe construction, comprehensive water bursting control and the like of the undersea tunnel of the soft cracked surrounding rock under high pressure water.

The invention provides a protocol field reverse analysis system and method based on BWT. Specific suffix index is constructed, so that specific substring matching only needs to be completed once in each alignment process. Moreover, the alignment algorithm based on suffix index is flexible in design, consumes less space in the index stage, and the length of subsequence is variable, protocol fieldscan be quickly identified. After the fixed field is identified, the invention counts the fields with high frequency through a random multi-stream multi-segment matching method, constructs a grammar tree according to the field position and the number of the fields, extracts the field structure, and thus realizes the inverse of the field format. After being classified, the reverse field is used asthe input of the fuzzy test tool, a large number of deformity test cases is sent to the target communication entity, and at the same time, the debugger is combined with the sniffer to carry out abnormal monitoring on the target communication entity, the abnormality is found and analyzed, so as to subsequently improve the safety of the target communication entity.

A highly convenient design support method and design support system for a heat convection field or a mass diffusion field which significantly reduce the number of times of numerical simulation required to examine the designing parameters for achieving the design purpose. The design support method includes a forward analysis step of analyzing the heat convection field or the mass diffusion field by solving an equation of the heat convection field or the mass diffusion field based on an initially set value of a designing parameter, an inverse analysis step of analyzing a sensitivity defined by a change ratio of the design purpose to a designing parameter change by solving an adjoint equation corresponding to the design purpose based on the set design purpose, and a sensitivity display step of displaying information on the sensitivity analyzed by inverse analysis step as a graphic image on the display device.

The invention discloses an APT organization identification method and apparatus. The method comprises the steps of performing inverse analysis on a to-be-detected sample file to obtain a function of the to-be-detected sample file; based on a pre-formed feature set and the function of the to-be-detected sample file, forming an eigenvector of the to-be-detected sample file, wherein the eigenvector represents a relationship between the function in the to-be-detected sample file and the feature set, one feature set is a set of similar function sets, and functions in the similar function sets correspond to a same APT organization; and obtaining an APT organization identifier of the to-be-detected sample file based on the eigenvector of the to-be-detected sample file by using a pre-built APT organization tracing model, wherein the APT organization tracing model is a computing model built based on a machine learning algorithm. The APT organization can be at least effectively traced.

The invention discloses a method for indoor measurement of the surface heat emission coefficient of concrete. According to the method, the temperature of the environment where an experiment block is located, the moisture content of a heat preservation material and other parameters can be precisely controlled, the surface heat emission coefficient of the experiment block is subjected to high-precision inverse analysis and calculation, and then the surface heat emission coefficient of the concrete covering the heat preservation material (including a water containing frozen heat preservation material) can be precisely tested. The method comprises the steps that 1, the experiment block is manufactured, and a certain number of temperature testing points are buried in the experiment block; 2, the experiment block with the heat preservation material laid is placed in a freezing and thawing test box for automatically controlling and recording the temperatures of the testing points, the temperature of an antifreezing solution and the temperature in the box, wherein the heat preservation material comprises a water containing frozen material, and reasonable temperature value is set for an experiment; 3, according to experiment data, inverse analysis is carried out to obtain the experiment block surface heat emission coefficient beta1 of the experiment block with the heat preservation material laid under the experiment condition; 4, through formula derivation and calculation, the surface heat emission coefficient betaS of the concrete under the field condition is obtained.

The invention discloses a back analysis identification method for parameters of a dynamic re-crystallizing model. Based on a genetic neural network cellular automatic machine, the method is characterized in that the method comprises the following steps of: 1) confirming a value range of parameters and designing and establishing a test scheme; 2) performing analog computation and establishing a learning sample library; 3) establishing a BP (Back Propagation) neural network; 4) training the BP neural network and establishing a nonlinear mapping relation; 5) randomly selecting at least one set of parameters and forecasting a flow stress; 6) comparing a precast value with a really measured value till an error meets a design demand; and 7) storing an optimum parameter value with the error meeting the design demand. Haphazardry of a dynamic re-crystallizing parameter value is overcome; the dynamic re-crystallizing parameter value is calculated by utilizing an orthogonal test, a genetic algorithm, a neural network and numerical simulation optimization; the problems of instability, strong nonlinearity, large calculating quantity and uneven learning sample during a back analysis optimizingcalculation are solved; and the accuracy and the rapidity of re-crystallizing parameter value are obviously promoted.

The invention discloses a communication protocol inverse analysis method based on an automotive gateway system. According to the technical scheme, a key control and status signal in an automobile control network can be effectively analyzed, accurate control of each key system is realized, the accuracy of protocol analysis is enhanced, the analytical efficiency is increased and research resources are saved.

The invention belongs to the technical field of water color remote sensing, and relates to a method for inversely analyzing the transparency of a water body by virtue of an inherent optical parameter. The method for inversely analyzing the transparency of the water body by virtue of the inherent optical parameter comprises the following steps: (1) reading data of measured transparency and data of remote sensing reflectance; (2) calculating an absorption and scattering coefficient through the remote sensing reflectance; (3) constructing an algorithm for inversely analyzing the transparency of the water body by virtue of the inherent optical parameter; (4) calculating an error between an inverse analysis value and a measured value to estimate the accuracy of the algorithm by taking the measured transparency as a true value. Compared with the prior art, the method for inversely analyzing the transparency of the water body by virtue of the inherent optical parameter has the advantages that the inherent optical parameter of the water body can be estimated according to the remote sensing reflectance to further inversely analyze the transparency of the water body, so that the problem of time-space limits of a case-two water body color constituent inverse analysis algorithm is solved, and universal applicability is achieved.

The invention relates to a comprehensive analysis method for the stability of an excavation unloading rock mass. The comprehensive analysis method comprises the following steps of: firstly, recognizing basic data of the rock mass; secondly, researching the mechanical properties of the unloading rock mass; thirdly, analyzing the multi-station stability of the unloading rock mass; fourthly, optimally designing an excavation scheme; fifthly, taking support measures to protect the rock mass; and sixthly, monitoring the rock mass and carrying out inverse analysis. According to the comprehensive analysis method disclosed by the invention, when the stability of the excavation unloading rock mass is analyzed, a main idea is realized by recognizing the rock mass, utilizing the rock mass, supporting the rock mass and monitoring the rock mass; the analysis is realized by integrating the knowledge from multidisciplinary and applying a systematic method; and the detailed flows of stable analysis of the excavation unloading rock mass in specific projects are provided.

To transmit data over a mobile telephone speech channel a source encoder is replaced by a transcoder, a conversion table and/or a concatenation circuit in order to choose from the words produced by the source encoder the ones that are the most robust and which can without difficulty withstand speech synthesis followed by an inverse analysis to reconstitute streams of the bits of the data to be transmitted.</PTEXT>

The invention discloses a slope back analysis method based on anchoring load monitoring data, which starts with the anchoring load monitoring data to establish the relations among monitoring data and equivalent mechanical parameters of a rock-soil body as well as the variation trend of slop stability coefficients according to an objective functional expression. The slope back analysis has the technical effect that the mapping relation between the equivalent mechanical parameters of the rock-soil body and the anchoring load monitoring data is established through an objective function to calculate the equivalent mechanical parameters of the rock-soil body where an anchoring body is positioned, and further deduce the variation trend of the slope stability coefficients.

The invention discloses an improved Kalman filter-based super high-rise building wind load inverse analysis method. According to the method of the invention, a limited test wind-induced response of a floor is used for recognizing a structure dynamic wind load, the method belongs to the field of building structure wind load inverse analysis, a discrete system state equation is built based on a dynamic differential equation in modal space, the response and the load are estimated based on improved Kalman filter, and thus a wind load inversion technology is improved. The method of the invention can solve the problem of insufficient super high-rise building wind-induced response test points, the wind load recognition precision under influences of factors such as structural modal parameter errors, modal truncation and noise measurement can meet actual engineering needs, and the method of the invention provides a useful tool and a basis for the super high-rise building anti-wind design and the related research.

The invention discloses a dynamic identification method of a weak link of a radar lifting system based on an inverse analysis technology. The method comprises the steps of sensor allocation, initialization and information recording, SADT (Self Accelerating Decomposition Temperature) analysis of the radar lifting system, FMEA (Failure Mode and Effects Analysis) of the radar lifting system, DBN (Dynamic Bayesian Network) modeling of the radar lifting system, data analysis and weak link identification. The method provides guidance for daily maintenance of the radar lifting system, avoids blind maintenance and lowers the maintenance cost. The method has the prominent advantages that the reliable modeling realizes structural topology mapping from a complicated electromechanical hydraulic system to a Bayesian network; and the weak link identification realizes logical relation mapping from running state monitoring information to spare part reliability. The method can be popularized and used in the fields of reliability assessment and intelligent maintenance of engineering machinery.

The invention discloses a three-dimensional landslide motion risk probability evaluation method, and relates to the technical field of landslide motion risk prediction. According to the method, a dynamic numerical model is used for landslide motion analysis, the final accumulation depth serves as observation information, the uncertainty of input parameters of the dynamic numerical model is calibrated through a multi-observation Bayesian inverse analysis method based on MCMC simulation, and posterior distribution is obtained. Then, the posterior distribution is used as the input of the potential landslide to estimate the override probability of the maximum motion height and the maximum motion speed of the potential landslide on the three-dimensional terrain, and a probabilistic motion risk map for quantitative risk evaluation of the individual landslide is generated. According to the method, the multi-response global Kriging agent model is adopted to approximate the relationship between the input and output of the model, so that the multi-response global Kriging agent model completely replaces a dynamic numerical model to carry out Bayesian back analysis and probability motion risk assessment, and the calculation efficiency is greatly improved on the premise that the precision is not lost.