43results about How to "Obvious non-linear features" patented technology

The invention relates to an incremental health monitoring method in a cable system of a cable structure based on angular coordinate monitoring, which takes that linear relation between current value vectors of values to be monitored and initial value vectors of the values to be monitored, and the linear relation between unit damage value change arrays of the values to be monitored and current nominal damage vectors are similar into consideration on the premise of taking angular coordinates as values to be monitored, in particular when damaged cables are more or damage extent is larger, the linear relation characteristic is more obvious. In order to overcome the defect, the invention provides a method for using the linear relations to perform piecewise approximation on nonlinear relations based on the angular coordinate monitoring, divides a large interval into a plurality of continuous small intervals; in the small intervals, the linear relations are accurate enough and proper algorithms such as multiobjective optimization algorithm are utilized to calculate noninferior solutions of current cable damage vectors, and then positions of the damaged cables and the damage extent of thecables are determined accurately.

The invention relates to a progressive health monitoring method for a cable system in a cable structure on the basis of cable tension monitoring. On the premise of taking cable tension as the monitored value, the progressive health monitoring method considers that linear relations among a current value vector of a monitored value, an initial value vector of the monitored value, a value change matrix of the unit damage monitored value and a current nominal damage vector are approximate, and particularly nonlinear relation characteristics between the vectors are more obvious when the number of damaged cables is numerous or the damage degree is larger. The invention provides the method for piecewise approximation of nonlinear relations by the linear relations on the basis of cable tension monitoring in order to overcome the defects. The method splits a large section into a plurality of continuous subsections; the linear relations in each subsection is accurate enough; and a non-inferior solution of a current cable damage vector can be calculated in each subsection by a proper algorithm such as a multiobjective optimization algorithm, so that the position and the damage degree of a damaged cable can be accurately determined.

The invention relates to a progressive type healthy monitoring method of a rope system based on space coordinate monitoring during support settlement, which is based on the space coordinate monitoring and determines whether a mechanical calculation reference model of a structure needs to be updated again or not by monitoring the coordinates of a support of the structure. In consideration of the condition that a linear relationship among the vector of the current numerical value of the quantity to be monitored, the vector of the initial numerical value of the quantity to be monitored, a changematrix of the unit damage quantity to be monitored and a current nominal damage vector is approximate, the invention provides a method using the linear relationship to sectionally approach to a nonlinear relationship in order to overcome the defect, a big interval is divided into a plurality of continuous small intervals, the linear relationship is accurate enough in each small interval, and the non-inferior solution of the current rope damage vector can be calculated in each small interval by utilizing the proper algorithms of a multi-objective optimization algorithm and the like, so that the position of a damaged rope and the damage degree thereof can be more accurately determined.

The progressive method of identifying slack cables based on strain monitoring during support generalized displacement is based on strain monitoring, and by monitoring the generalized coordinates of structural supports, when used to identify loose support cables, the current value vector of the monitored quantity is The linear relationship between the initial numerical vector of the virtual unit damage, the numerical change matrix of the monitored quantity of virtual unit damage, and the current nominal virtual damage vector is approximate. In order to overcome this defect, a method of using the linear relationship to approximate the nonlinear relationship is given, which can be After the virtual damaged cable is identified, and the real damaged cable is identified by non-destructive testing and other methods, the remaining virtual damaged cable is the loose support cable. According to the relationship between the degree of relaxation and the degree of virtual damage, it can be determined that the adjustment The length of the cable.

The invention relates to a progressive type method for identifying loose supporting ropes based on space coordinate monitoring during support settlement, which is based on strain monitoring and is used for identifying the loose supporting ropes by monitoring the coordinates of a support of a structure. In consideration of the condition that a linear relationship among the vector of the current numerical value of the quantity to be monitored, the vector of the initial numerical value of the quantity to be monitored, a change matrix of the numerical value of the virtual unit damage quantity to be monitored and a current nominal virtual damage vector is approximate, the invention provides a method using the linear relationship to sectionally approach to a nonlinear relationship in order to overcome the defect, virtual damaged ropes can be identified, and the residual virtual damaged ropes are just the loose supporting ropes after a true damaged rope is distinguished from the virtual damaged ropes by using the methods of nondestructive examination and the like, so that the rope length which needs to be regulated can be determined according to a relationship between the looseness degree and the virtual damage degree.

The invention discloses a progressive method for identifying loose support cable based on angle monitoring during support settlement, which is based on angle monitoring, and identifies the loose support cable through monitoring a structure support coordinate, taking into account the approximate linear relationship between the current value vector of the monitored-volume and the initial value vector of the monitored-volume, the virtual unit damage monitored-volume value change matrix and the current nominal damage vector. For overcoming the disadvantage, the invention provides the method whichmeans that the linear relationship is segmented to be close to the non-linear relationship, therefore, the virtual damaged cable can be identified; after the real damaged cable is identified through a non-damaged test method, the remained virtual damaged cable is the loose support cable, and the cable length needing adjusting can be determined according to the relationship between the loose degree and the virtual damaged degree.

The invention discloses a progressive method for identifying loose support cable based on strain monitoring during support settlement, which is based on strain monitoring, and identifies the loose support cable through monitoring a structure support coordinate, taking into account the approximate linear relationship between the current value vector of the monitored-volume and the initial value vector of the monitored-volume, the virtual unit damage monitored-volume value change matrix and the current nominal damage vector. For overcoming the diadvantage, the invention provides the method which means that the linear relationship is segmented to be close to the non-linear relationship, therefore, the virtual damaged cable can be identified; after the real damaged-cable is identified througha non-damaged test method, the remained virtual damaged-cable is the loose support cable, and the cable length needing adjusting can be determined according to the relationship between the loose degree and the virtual damaged degree.

A progressive method for recognizing a slack cable based on hybrid monitoring during the angular displacement of a support is based on the hybrid monitoring for various kinds of parameters, and takes that the linear relationship between the current value vector of a monitored value and the initial value vector of the monitored value, the change matrix of a virtual unit damage monitored value and a current nominal virtual damage vector are approximate to each other into account while being used for recognizing a slack carrying cable by monitoring the angular coordinates of the structure support. In order to overcome the defect, the invention provides a method of approximating a nonlinear relationship using linear relationship segments, so that virtual damaged cables can be recognized, wherein after actual damaged cables are differentiated therefrom by a method like non-destructive examination and the like, the left virtual damaged cables are slack carrying cables; and a cable length needing to be adjusted can be adjusted according to the relationship between a slack degree and a virtual damage degree.