A stage partition correction method for foundation pit support simulation data

Abstract

The application discloses a kind of foundation pit support simulation data's stage partition correction method, it is related to simulation data processing technical field, including the following steps: in current simulation state, respectively execute single object disturbance to each to be corrected object, and keep other to be corrected object unchanged, form corresponding response characteristics;Based on response characteristics, simulation-measured residual segment is attributed to judge, filter only attributed to one to be corrected object identifiable residual segment, and exclude residual segment that cannot be uniquely attributed to;Based on the attribution object of identifiable residual segment, determine correction partition boundary, form the partition result that each stage partition corresponds to same to be corrected object;Based on identifiable residual segment in each stage partition, only to the to be corrected object corresponding to this stage partition is corrected, to generate corrected foundation pit support simulation data.The application can reduce the mismatch of correction object caused by mixed residual, improve the reliability of subsequent construction stage simulation prediction.

Description

Technical Field

[0001] This invention relates to the field of simulation data processing technology, and more specifically, to a method for stage zoning correction of foundation pit support simulation data. Background Technology

[0002] Foundation pit support construction usually changes in stages along with excavation, support installation, dewatering control, release of soil back pressure, and replacement and dismantling of supports. Existing technologies often divide simulation data into zones according to construction stages or residual curve shapes, and use on-site monitoring data to correct the simulation model.

[0003] However, in actual foundation pit engineering, the same residual segment does not necessarily correspond to only one specific correction object. For example, excessive horizontal displacement of the retaining wall may be caused by a combination of factors, including deviations in excavation unloading boundaries, insufficient support constraints, deviations in soil deformation parameters, or inaccurate inheritance of residual deformation from the previous stage. Continuous surface settlement may also be affected by groundwater boundaries, consolidation aging parameters, and construction disturbances simultaneously. Existing methods, if they only divide correction segments based on construction stages or residual curve morphology, typically do not determine before correction whether the residual segment uniquely corresponds to a specific object to be corrected. This easily leads to the use of mixed residuals, which can be explained by multiple objects to be corrected, as valid correction samples.

[0004] Therefore, existing methods for zoning and correcting foundation pit support simulation data suffer from inconsistencies between stage zoning and the actual correction objects. This can easily lead to residuals that should belong to different objects being mixed and corrected, or residuals that cannot be uniquely assigned being used to correct parameters of a particular object, resulting in mismatched correction objects and compensatory miscorrections. The outcome may be that the simulation curve at the current stage appears to fit the measured data more closely, but errors between objects within the model are mutually compensated, thus affecting the reliability of deformation development, support response, and risk state prediction in subsequent construction stages.

[0005] The above-disclosed technical solutions have at least the following technical problems: Existing methods for zoning correction of foundation pit support simulation data mostly divide correction sections based on construction stages or residual change patterns. They do not determine whether residual segments can uniquely correspond to specific objects to be corrected before correction. This easily leads to the inclusion of mixed residuals that can be interpreted by multiple objects to be corrected into the same zone and used as the basis for correction. This results in inconsistencies between stage zoning and actual objects to be corrected, leading to mismatch of correction objects and compensatory miscorrection, which affects the reliability of the simulation data after correction in predicting subsequent construction responses.

[0006] To address the above problems, this invention proposes a solution. Summary of the Invention

[0007] To overcome the above-mentioned defects of the prior art, the embodiments of the present invention provide a stage-partition correction method for foundation pit support simulation data. By establishing a unique attribution relationship between the object to be corrected and the residual segment through single-object disturbance, and determining the correction partition boundary accordingly, directional correction is performed to solve the problem of mismatch of correction objects caused by mixed residuals when the existing method corrects the overall data according to the construction stage.

[0008] To achieve the above objectives, the present invention provides the following technical solution: A stage-partition correction method for foundation pit support simulation data includes the following steps: obtaining the response characteristics of each object to be corrected through single-object perturbation; based on the response characteristics of each object to be corrected, performing unique attribution screening on the simulation-measured residual segments to obtain identifiable residual segments, and eliminating mixed residuals; based on the object to which the identifiable residual segments belong, dividing the correction partition boundaries to obtain partition results where each stage partition corresponds to the same object to be corrected; based on the identifiable residual segments within each stage partition in the partition results, correcting only the object to be corrected corresponding to that stage partition to generate corrected foundation pit support simulation data.

[0009] In a preferred embodiment, obtaining the response characteristics corresponding to each object to be calibrated includes: determining the baseline value, engineering allowable adjustment range, and paired verification direction of each object to be calibrated in the current simulation state, wherein the paired verification direction includes an enhancing verification direction and a weakening verification direction; sequentially selecting one object to be calibrated, and applying verification perturbations along the enhancing verification direction and the weakening verification direction respectively, while keeping the baseline state of other objects to be calibrated unchanged, to obtain the corresponding perturbation response; comparing the corresponding perturbation response with the baseline simulation response, extracting the effective response change that changes accordingly with the verification direction, and forming the response characteristics of the current object to be calibrated based on this.

[0010] In a preferred embodiment, the step of comparing the corresponding disturbance response with the baseline simulation response and extracting the effective response change that changes accordingly with the verification direction includes: comparing the enhanced disturbance response and the weakened disturbance response with the baseline simulation response under the same monitoring type, measuring point or wall segment and time to obtain the enhanced response offset and the weakened response offset; when the two change in opposite directions at the same location and time period, or increase or decrease in an orderly manner along the enhanced disturbance, the baseline state, and the weakened disturbance, and their occurrence time is after the associated action time period of the current disturbance object, and the spatial range falls within its engineering action range or force transmission influence range, the corresponding response offset is determined as the effective response change.

[0011] In a preferred embodiment, the simulation-measured residual segment is obtained through the following steps: The baseline simulation response and the field measured response are matched according to the same monitoring type, location and sampling time to obtain the simulation-measured residual sequence; the effective deviation range is determined according to the monitoring accuracy, the normal fluctuation range during periods without construction disturbance and the allowable deviation of the project; the time intervals that continuously exceed the effective deviation range and whose residual change direction is consistent are extracted, and the positions where they enter / exit the effective deviation range, change direction or change in construction event are used as boundaries to obtain the simulation-measured residual segments.

[0012] In a preferred embodiment, the unique attribution screening of the simulation-measured residual segments includes: comparing the feature information of the simulation-measured residual segments with the response features of each object to be corrected, wherein the feature information includes monitoring type, spatial range, residual change direction and occurrence time; when all the feature information corresponds to the response features of a certain object to be corrected, it is determined that the attribution condition is met; the number of objects to be corrected that meet the attribution condition for the same residual segment is counted, and if the number is unique, it is determined to be an identifiable residual segment and its attribution object is determined, otherwise it is excluded from this round of correction.

[0013] In a preferred embodiment, the step of dividing the correction partition boundaries includes: dividing the simulation time history into multiple initial stages according to the existing stage boundaries, and assigning identifiable residual segments to the corresponding initial stages according to their start and end times; assigning each identifiable residual segment an identifier corresponding to its belonging object; within the same initial stage, if there are different object identifiers, forming a new partition boundary at the point where the object identifier changes; and using the interval containing only residual segments that cannot be uniquely assigned as the isolation boundary to obtain a partitioning result in each stage partition corresponding to the same object to be corrected.

[0014] In a preferred embodiment, classifying identifiable residual segments into corresponding initial stages according to their start and end times includes: directly classifying identifiable residual segments that fall entirely into an initial stage into that stage; and splitting identifiable residual segments that cross existing stage boundaries into multiple sub-segments at the boundaries, classifying them into their respective initial stages, and retaining the object identifier of each sub-segment.

[0015] In a preferred embodiment, the correction of the identifiable residual segments within each stage partition based on the partitioning results is performed only on the object to be corrected corresponding to that stage partition. This includes: determining the enhancement or reduction adjustment direction corresponding to the identifiable residual segments based on the response characteristics of the object to be corrected; generating candidate correction amounts within the engineering allowable adjustment range and recalculating the simulation response; retaining the correction amount if the residual amplitude within the stage partition decreases and the non-corresponding monitoring response does not exceed the normal fluctuation range, otherwise canceling or reducing it; and traversing each stage partition to generate corrected simulation data.

[0016] In a preferred embodiment, determining the enhancement adjustment direction or reduction adjustment direction corresponding to the identifiable residual segment based on the response characteristics of the object to be corrected includes: when the residual change direction of the identifiable residual segment is consistent with the response change direction of the enhancement verification perturbation and opposite to the response change direction of the reduction verification perturbation, it is determined as the enhancement adjustment direction; conversely, if it is consistent with the reduction verification perturbation and opposite to the enhancement verification perturbation, it is determined as the reduction adjustment direction.

[0017] In a preferred embodiment, the candidate correction amount is obtained through the following steps: based on the verification disturbance corresponding to the adjustment direction, the effective response change caused by the unit verification disturbance is determined; the residual amplitude of the identifiable residual segment within the stage partition is correlated with the effective response change to obtain the correction ratio; a candidate correction amount is generated based on the correction ratio and the verification disturbance amount, and it is limited to the engineering allowable adjustment range of the object to be corrected; when the same stage partition contains multiple identifiable residual segments, the weights are determined according to the monitoring accuracy, residual duration, and residual amplitude, and a comprehensive correction ratio is formed to generate the candidate correction amount.

[0018] The technical effects and advantages of the phased zoning correction method for foundation pit support simulation data of the present invention are as follows: This invention establishes a correspondence between different objects to be calibrated and their monitoring responses by subjecting each object to single-object perturbation. This correspondence is then used to select uniquely attributed simulation-measured residual segments, which are then used to redefine the calibration zone boundaries. This ensures that the residuals within each stage zone point to the same object to be calibrated. This avoids the problem of existing methods misusing mixed residuals, which can be interpreted from multiple objects, for parameter correction when calibrating by construction stage or the residual curve as a whole. The calibration process is targeted at specific objects, reducing compensatory miscalibrations between soil parameters, support constraints, construction boundaries, and other objects. This improves the reliability of the calibrated foundation pit support simulation data for predicting deformation development and support response in subsequent construction stages. Attached Figure Description

[0019] Figure 1 This is a flowchart illustrating a stage-partition correction method for foundation pit support simulation data according to the present invention. Figure 2 This is a schematic diagram illustrating the attribution and stage partitioning of the simulation-measured residual segments in this invention; Figure 3 This is a schematic diagram illustrating the changes in residuals and the verification of non-corresponding responses before and after the partition correction in this invention. Detailed Implementation

[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0021] Example 1, Figure 1 This invention presents a method for stage-partition correction of foundation pit support simulation data, comprising the following steps: S1, Under the current simulation state, perform single-object perturbation on each object to be corrected, while keeping other objects to be corrected unchanged, to form the corresponding response characteristics; In this embodiment, the object to be corrected refers to a model object in the foundation pit support simulation model that has independent engineering meaning, an allowable range of engineering adjustments, and whose changes can cause changes in the monitoring response. The object to be corrected includes at least construction process boundary objects, support constraint objects, strata and hydrological objects, and stage initial state objects.

[0022] Among them, the boundary objects of the construction process include the excavation unloading range, excavation release ratio, and soil retention or counterpressure boundary; the support constraint objects include the support activation time, support equivalent stiffness, prestress transfer state, and node connection state; the strata and hydrology objects include soil deformation parameters, strength parameters, groundwater level boundary, and seepage or consolidation parameters; and the initial state objects of the stage include the initial displacement field, initial stress field, or residual deformation inherited from the previous stage. The response characteristics refer to the comparable changes in the response of the object to be calibrated to the simulation monitoring when only one object to be calibrated is changed while the other objects to be calibrated remain unchanged. These characteristics include the type of monitoring affected, the spatial range affected, the direction of response change, and the time period of response occurrence.

[0023] The step of performing a single-object perturbation on each object to be corrected while keeping other objects to be corrected unchanged to form corresponding response characteristics includes: Determine the baseline values, allowable adjustment range, and allowable verification directions for each object to be corrected under the current simulation state. The allowable verification directions include enhancement verification directions and reduction verification directions. Select one object to be corrected as the current perturbation object in sequence. Under the condition that the values ​​or boundary states of other objects to be corrected are locked and unchanged, apply the verification perturbation according to the enhanced verification direction and the weakened verification direction respectively to obtain the verification perturbation response corresponding to the current perturbation object. By comparing and separating the verification perturbation response with the baseline simulation response under the current simulation state, the effective response changes caused solely by the current perturbation object are extracted. The affected monitoring type, affected spatial range, response change direction, and response occurrence time are determined from the effective response changes, and these are combined to form the response characteristics corresponding to the current disturbance object.

[0024] The step of comparing and separating the verification perturbation response with the baseline simulation response under the current simulation state, and extracting the effective response change caused solely by the current perturbation object, includes: Centered on the reference value of the current perturbation object, verification perturbations are applied along the enhancement verification direction and the reduction verification direction respectively to obtain the enhancement perturbation response and the reduction perturbation response; The enhanced disturbance response and the reduced disturbance response were compared with the baseline simulation response according to the same monitoring type, the same measuring point or wall segment, and the same sampling time to obtain the enhanced response offset and the reduced response offset. Determine whether the enhanced response offset and the weakened response offset at the same monitoring location and during the same time period satisfy the directional correspondence relationship. The directional correspondence relationship includes the enhanced response offset and the weakened response offset changing in opposite directions, or the enhanced disturbance response, the reference simulation response and the weakened disturbance response changing in an orderly manner along the verification direction. If the directional correspondence is not satisfied, the corresponding response offset will be determined as a response offset not caused by the stability of the current disturbance object, and will not be regarded as a valid response change; If the directional correspondence is satisfied, then it is further determined whether the occurrence time of the response offset is after the associated action time of the current disturbance object, and whether its spatial range falls within the engineering action range or force transmission influence range of the current disturbance object. The response offset that simultaneously satisfies the requirements of directional correspondence, occurrence time period, and spatial range is determined as the effective response change caused solely by the current disturbance object. Based on the changes in the effective response, the affected monitoring type, affected spatial range, response change direction, and response occurrence time period corresponding to the current disturbance object are determined, thus forming response characteristics.

[0025] The associated period of the current disturbance object is determined according to the type of object to be corrected, including: When the object to be corrected corresponds to a construction event, the time when the construction event occurs is taken as the starting point of the associated period. When the object to be corrected corresponds to the formation parameters or hydrological parameters, the time when the object first participates in the simulation calculation of the current stage shall be taken as the starting point of the associated action period. When the object to be corrected is in the initial state of the corresponding stage, the start time of the current stage is taken as the starting point of the associated action period.

[0026] In this embodiment, the enhanced verification direction and the weakened verification direction are determined according to the engineering implications of the object to be corrected's response to the support: For boundary objects in the construction process, the enhanced verification direction refers to enhancing the effect of the boundary on the foundation pit response, while the weakened verification direction refers to weakening the effect of the boundary on the foundation pit response. For objects with supporting constraints, enhancing the verification direction means increasing the degree of formation or constraint capability of supporting constraints, while weakening the verification direction means reducing the degree of formation or constraint capability of supporting constraints. For stratigraphic and hydrological objects, the enhanced and weakened verification directions correspond to the engineering-permissible adjustment directions that increase or decrease the monitoring response caused by the object, respectively. For the initial state object of a stage, the enhanced verification direction and the weakened verification direction correspond to increasing or decreasing the amount of inheritance of the residual state of the previous stage to the initial response of the current stage, respectively.

[0027] In this embodiment, instead of directly using the numerical difference between the perturbation simulation response and the baseline simulation response as the response feature, verification perturbations in both the enhancement and reduction directions are applied to the same object to be corrected, and only the response offsets that change in opposite directions or in an orderly manner with the perturbation direction are retained. Since residual deformation, construction intermittent drift, or numerical propagation errors from the previous stage usually do not change in the opposite direction with the enhancement or reduction of the current object to be corrected, the above processing can remove such response offsets caused by objects other than the current object to be corrected from the response features. The response features formed in this way can more accurately characterize the monitoring response range, direction, and time period under the action of the current object to be corrected alone, providing a basis for subsequent judgment on whether residual segments can be uniquely attributed to the object to be corrected, and avoiding the misclassification of mixed residual segments as correction samples of a single object.

[0028] S2, based on response characteristics, determine the attribution of simulation-measured residual segments, filter out identifiable residual segments that belong to only one object to be corrected, and exclude residual segments that cannot be uniquely assigned. In this embodiment, the simulation-measured residual is the field measured response minus the baseline simulation response under the current simulation state. The simulation-measured residual segment refers to the residual interval in which the field measured response deviates continuously from the baseline simulation response at the same monitoring type, the same measuring point, or the same wall segment, and this deviation is continuous in time and consistent in the direction of change.

[0029] The simulation-measured residual segment is obtained through the following steps: Based on the response characteristics of each object to be corrected, determine the monitoring type, measuring point, or wall segment range that needs to be compared with the residuals. By matching the baseline simulation response under the current simulation state with the field measured response according to the same monitoring type, the same measuring point or wall section, and the same sampling time, the simulation-measured residual sequence of each monitoring object is obtained. The effective deviation range of the residual is determined based on the monitoring accuracy, the normal fluctuation range of adjacent periods without construction disturbance, and the allowable deviation of the project. In the simulated-measured residual sequence, time intervals that continuously exceed the effective deviation range and whose residual change direction remains consistent are extracted as candidate residual segments; The start and end boundaries of candidate residual segments are determined by the positions where the residual enters or exits the effective deviation range, the direction of residual change changes, the associated construction event changes, or the monitoring data is interrupted, thus obtaining the simulation-measured residual segments. The simulation-measured residual segment records the monitoring type, measurement point or wall segment range, start and end time periods, residual change direction, residual change amplitude, and the time period relative to the occurrence of the construction event.

[0030] It should be noted that the determination of the effective deviation range of the residual based on monitoring accuracy, normal fluctuation range of adjacent periods without construction disturbance, and allowable deviation of the project includes: For each monitoring type, measuring point, or wall segment, the monitoring accuracy of the corresponding monitoring equipment is obtained, and the monitoring accuracy is converted into the minimum identifiable deviation of the corresponding monitoring response; Based on the construction event records, the time period in which there is no excavation, no support adjustment, no change in the dewatering boundary and the monitoring data are continuous between adjacent construction events is selected as the period of no construction disturbance. During the period without construction disturbance, the residual benchmark value between the measured response and the benchmark simulation response is calculated, and the normal fluctuation range is determined based on the fluctuation range of the residual around the residual benchmark value. Determine the allowable deviation for the corresponding monitoring type based on the foundation pit monitoring plan, design control values, or model calibration accuracy requirements; The larger of the minimum identifiable deviation, normal fluctuation range and engineering allowable deviation is used as the residual determination half-width, and the effective deviation range corresponding to the monitoring type, measuring point or wall segment is formed with the residual benchmark value as the center. When the simulation-measured residual continuously exceeds the effective deviation range, the residual is identified as a residual that can reflect the effective deviation between the simulation model and the field response; when the simulation-measured residual is within the effective deviation range, it is regarded as a monitoring error, a stable period fluctuation or a deviation within the allowable range of the project, and is not used as the basis for extracting candidate residual segments.

[0031] Furthermore, the step of determining the attribution of simulation-measured residual segments based on response characteristics and filtering out identifiable residual segments that belong to only one object to be corrected includes: Each simulation-measured residual segment is compared with the response characteristics corresponding to each object to be corrected; When the monitoring type of a simulation-measured residual segment falls into the affected monitoring type of a response feature of an object to be corrected, and the measuring point or wall segment corresponding to the simulation-measured residual segment falls into the affected spatial range of the response feature, the direction of residual change of the simulation-measured residual segment is consistent with the direction of response change in the response feature, and the occurrence time of the simulation-measured residual segment corresponds to the occurrence time of the response in the response feature, the simulation-measured residual segment is determined to meet the attribution condition of the object to be corrected. The occurrence time corresponding means that the starting time of the simulation-measured residual segment falls into the response occurrence time of the corresponding response feature of the object to be corrected, or the time difference between the two does not exceed the time tolerance. The time tolerance is determined based on the larger of the on-site monitoring sampling interval, the simulation calculation step size, and the construction event recording error.

[0032] Count the number of objects to be corrected that meet the attribution criteria for the same simulation-measured residual segment; When the number of objects to be corrected is one, the simulation-measured residual segment is identified as an identifiable residual segment, and the object to be corrected that meets the attribution condition is identified as the object to which the identifiable residual segment belongs. When there are two or more objects to be corrected, or when the simulation-measured residual segment does not meet the attribution condition of any object to be corrected, the simulation-measured residual segment is determined as a residual segment that cannot be uniquely attributed and is excluded from the current stage of partition correction.

[0033] The identifiable residual segment refers to a residual segment that, in terms of monitoring type, measuring point or wall segment range, residual change direction, and relative to the occurrence time of the construction event, satisfies only the attribution conditions of one object to be corrected, and does not satisfy the attribution conditions of other objects to be corrected. The identifiable residual segment is used to characterize that the residual segment can uniquely point to one object to be corrected, and its attribution object is used for subsequent stage zoning boundary determination and corresponding correction of the object to be corrected; residual segments that cannot be uniquely attributed do not participate in this round of stage zoning correction, to avoid using mixed residuals that can be interpreted by multiple objects to be corrected as correction samples for a single object.

[0034] S3, based on the identifiable residual fragments, determine the correction partition boundaries and form a partition result in which each stage partition corresponds to the same object to be corrected; In this embodiment, the existing stage boundary refers to the initial stage start and end boundaries that have been formed in the foundation pit support simulation model according to the construction sequence or simulation conditions before this round of stage zoning correction. It is used to represent the stage switching position originally considered by the simulation model, but is not directly used as the final correction zoning boundary.

[0035] The existing stage boundaries can be obtained from the construction event records and the working condition switching information of the simulation model, specifically including: the start or completion time of excavation, the time of support installation or prestressing application, the time of dewatering start or adjustment, the time of soil retention or counterpressure boundary release, the time of support replacement or dismantling, and the time of removal of corresponding soil units, activation of support units, adjustment of boundary conditions or update of initial state in the simulation model.

[0036] The determination of correction partition boundaries based on the attribution of identifiable residual fragments includes: Based on the existing stage boundaries, the simulation time history is divided into multiple initial stages, and each identifiable residual segment is assigned to the corresponding initial stage according to its start and end time periods. Each identifiable residual segment is assigned an object identifier corresponding to its belonging object. The object identifier is used to indicate the object to be corrected that should be corrected subsequently for the residual segment. If there are identifiable residual fragments with different object identifiers within the same initial stage, the location where the object identifier changes is used as the new partition boundary, and the initial stage is divided into multiple stage partitions. If identifiable residual segments located on both sides of the boundary between adjacent initial stages have the same object identifier, and there are no residual segments at the boundary that cannot be uniquely assigned, then the existing stage boundary is canceled and the adjacent initial stages are merged into the same stage partition. If there are only residual segments that cannot be uniquely assigned within a certain interval, or if identifiable residual segments are separated by residual segments that cannot be uniquely assigned, then that interval is used as the partition isolation boundary and is not included in the stage partition of any object to be corrected. Based on the results of segmentation, merging, and isolation, a partitioning result is generated. The partitioning result includes at least the start and end time periods of each stage partition, the identifiable residual segments contained therein, the corresponding object identifiers, and the corresponding objects to be corrected.

[0037] Furthermore, the step of dividing the simulation time history into multiple initial stages based on existing stage boundaries, and assigning each identifiable residual segment to its corresponding initial stage according to its start and end time periods, includes: Arrange the existing stage boundaries in chronological order, and define the simulation time history between two adjacent existing stage boundaries as an initial stage; The start and end times of each identifiable residual segment are compared with the start and end times of each initial stage; When the start and end times of a certain identifiable residual segment fall entirely within an initial stage, the identifiable residual segment is assigned to that initial stage. When a certain identifiable residual segment spans two adjacent initial stages, the existing stage boundary is used as the dividing point to divide the identifiable residual segment into a front residual segment and a back residual segment, and they are respectively assigned to the corresponding initial stages, while retaining the same object identifier for the residual segments before and after the division. When a certain identifiable residual segment crosses more than two initial stages, it is sequentially segmented according to the boundaries of each existing stage it passes through, and each segmented sub-segment is assigned to the corresponding initial stage, while preserving the correlation between each sub-segment and the original identifiable residual segment. Establish a correspondence between the identifiable residual segments, corresponding start and end times, and the object identifiers assigned to each initial stage, which will be used to determine whether the initial stage needs to be segmented or merged with adjacent initial stages.

[0038] S4. Based on the identifiable residual segments within each stage partition in the partitioning results, only the objects to be corrected corresponding to that stage partition are corrected to generate corrected foundation pit support simulation data.

[0039] In this embodiment, the correction of the identifiable residual fragments within each stage partition based on the partitioning results is performed only on the object to be corrected corresponding to that stage partition, including: Based on the partitioning results, the start and end times, object identifiers, corresponding objects to be corrected, and identifiable residual fragments contained in each partitioning stage are read sequentially. Based on the object identifier, the object to be corrected corresponding to the partition of this stage is locked, while the values ​​or boundary states of other objects to be corrected remain unchanged. Based on the response characteristics of the object to be corrected, determine whether the direction of residual change of the identifiable residual segment corresponds to the direction of enhancement or reduction of adjustment of the object to be corrected; Within the allowable adjustment range of the object to be corrected, candidate correction amounts are generated according to the determined adjustment direction, and the candidate correction amounts are applied to the object to be corrected corresponding to the partition of this stage. Recalculate the simulation response corresponding to the identifiable residual segment within the partition of this stage, and determine whether the amplitude of the corrected residual has decreased; When the magnitude of the corrected residual decreases, and the monitoring response that is not within the range affected by the response characteristics of the object to be corrected does not exceed the normal fluctuation range during the stable construction period, the candidate correction amount is retained. If the corrected residual amplitude does not decrease, or if the non-corresponding monitoring response outside the zone of this stage exceeds the normal fluctuation range during the stable construction period, the candidate correction amount shall be withdrawn and the correction amount shall be re-determined. The simulation model of the foundation pit support is updated based on the correction results of each object to be corrected in the corresponding stage partition, and the corrected foundation pit support simulation data is generated.

[0040] The termination conditions for redetermining the correction amount include: When a candidate correction is withdrawn, the candidate correction is reduced according to a preset reduction ratio and the simulation response is recalculated. If, after continuous reduction to the minimum correction step size, it is still not possible to simultaneously satisfy the reduction of residual amplitude and the non-corresponding monitoring response not exceeding the normal fluctuation range, then the correction of this stage partition is stopped and this stage partition is marked as a correction unstable partition.

[0041] Further, determining whether the direction of residual change of the identifiable residual segment corresponds to the enhancement or reduction adjustment direction of the object to be corrected, based on the response characteristics corresponding to the object to be corrected, includes: Read the response characteristics of the object to be calibrated corresponding to the partition in this stage. The response characteristics include the direction of response change under enhanced verification perturbation, the direction of response change under weakened verification perturbation, and the corresponding affected monitoring type and spatial range. The monitoring type, measuring point or wall segment range of the identifiable residual segment is matched with the affected monitoring type and spatial range in the response characteristics to determine the target response characteristics used to determine the adjustment direction; Compare the residual change direction of the identifiable residual segment with the response change direction under enhanced verification perturbation and the response change direction under weakened verification perturbation in the target response characteristics; When the direction of residual change of the identifiable residual segment is consistent with the direction of response change under enhanced verification perturbation and opposite to the direction of response change under weakened verification perturbation, it is determined that the object to be corrected should be corrected along the enhanced adjustment direction. When the direction of residual change of the identifiable residual segment is consistent with the direction of response change under reduced verification perturbation and opposite to the direction of response change under enhanced verification perturbation, it is determined that the object to be corrected should be corrected along the direction of reduced adjustment. When the residual change direction of the identifiable residual segment cannot form the above correspondence with the enhanced or weakened verification perturbation, the identifiable residual segment is re-marked as a segment with uncertain direction and is not used to determine the correction direction in this round.

[0042] The step of generating candidate correction values ​​according to the determined adjustment direction includes: Based on the effective response change of the object to be corrected under enhanced or weakened verification perturbation, determine the response change corresponding to a unit verification perturbation; The residual amplitude of the identifiable residual segment within the partition of this stage is correlated with the change in response to determine the initial correction ratio that makes the simulation response closer to the actual measured response. Candidate correction values ​​are generated based on the initial correction ratio and the verification disturbance, and the candidate correction values ​​are limited to the engineering allowable adjustment range of the object to be corrected. When multiple identifiable residual segments are contained within the same stage partition, the comprehensive correction ratio is determined based on the accuracy of the monitoring equipment corresponding to each identifiable residual segment, the duration of the residual, and the magnitude of the residual, and candidate correction quantities are generated accordingly.

[0043] Let P be the object to be corrected corresponding to a certain stage partition, and let its verification perturbation be... Under this verification perturbation, the effective response change amplitude of the corresponding identifiable residual segment is If the residual amplitude of the residual segment is R, then the candidate correction can be written as:

[0044]

[0045] in, Candidate correction values To identify the residual magnitude of residual segments, This represents the effective response change magnitude caused by the verification perturbation. To prevent the minimum value where the denominator is zero, To enhance or reduce the amount of verification disturbance, The maximum allowable adjustment amount for the object to be corrected.

[0046] The longer the residual duration, the larger the residual amplitude, and the higher the monitoring accuracy of the segment, the greater its contribution to the candidate correction amount; the candidate correction amount is ultimately limited by the adjustment range allowed by the engineering, so as to avoid over-correction that does not meet the engineering conditions in order to fit the local residual.

[0047] Figure 2 This diagram illustrates the process of assigning and zoning simulation-measured residual segments in this invention. The horizontal axis represents the construction sequence, and the vertical axis represents different monitoring types, including horizontal displacement of the retaining wall, deep displacement, axial force of the support structure, surface settlement, pore water pressure, and groundwater level. Different colored bars indicate that the residual segment is uniquely assigned to a different object to be corrected, such as excavation unloading, support constraints, groundwater boundary, and initial state of the stage. The multiples in the bars indicate the degree of deviation of the residual segment relative to the effective deviation range.

[0048] Depend on Figure 2As can be seen, the residual segments are not simply divided according to the overall boundaries of the construction process, but are assigned based on their correspondence with the response characteristics of each object to be corrected, according to their monitoring type, spatial range, direction of change, and time of occurrence. For residual segments that can uniquely point to a specific object to be corrected, they are included in the corresponding stage partition; for segments that cannot be uniquely assigned, they are represented by a diagonal line area and treated as isolated segments, not participating in this round of correction. This figure illustrates that the present invention determines the correction partition boundaries through "identifiable residual segments," avoiding the misinterpretation of mixed residuals that can be explained by multiple objects to be corrected as correction samples for a single object.

[0049] Figure 3 The graph shows the changes in residual magnitude before and after correction for each stage of the partition, as well as the verification results of non-corresponding monitoring responses. In the graph, gray bars represent the residual magnitude before correction, blue bars represent the residual magnitude after correction, the orange line represents the maximum fluctuation of the non-corresponding monitoring response, and the red dashed line represents the effective fluctuation or stability upper limit. The horizontal axis corresponds to... Figure 2 The different phases are divided into excavation unloading, support constraints, groundwater boundaries, and initial phase states.

[0050] Depend on Figure 3 As can be seen, within each stage partition, after correcting only the object to be corrected corresponding to that partition, the residual amplitude after correction is significantly lower than the residual amplitude before correction. Furthermore, the maximum fluctuation of the non-corresponding monitoring response remains within the effective fluctuation limit, indicating that the correction has not significantly spread to the monitoring response corresponding to non-target objects. The figure also indicates the proportion of the correction amount to the upper limit of the engineering allowable adjustment for each partition, demonstrating that the correction amount is still within the engineering allowable range. This figure demonstrates that the present invention does not blindly amplify parameter adjustments to fit the current data, but rather performs targeted correction based on identifiable partitions, thereby reducing compensatory miscorrections and improving the reliability of the corrected simulation data for predicting responses in subsequent construction stages. The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.

[0051] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, in the form of a computer program product.

[0052] Those skilled in the art will recognize that the modules and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0053] In addition, the functional modules in the various embodiments of this application can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0054] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0055] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for stage-based zoning correction of foundation pit support simulation data, characterized in that, Includes the following steps: The response characteristics of each object to be corrected are obtained by perturbing a single object. Based on the response characteristics of each object to be corrected, the simulation-measured residual segments are screened for unique attributability to obtain identifiable residual segments, and mixed residuals are eliminated. Based on the identifiable residual fragments, the correction partition boundaries are defined, and the partition results are obtained in which each stage partition corresponds to the same object to be corrected. Based on the identifiable residual segments within each stage partition in the partitioning results, only the objects to be corrected corresponding to that stage partition are corrected to generate corrected foundation pit support simulation data.

2. The stage-partition correction method for foundation pit support simulation data according to claim 1, characterized in that, The step of obtaining the response features corresponding to each object to be corrected includes: Determine the baseline values, allowable adjustment ranges, and paired verification directions for each object to be corrected under the current simulation state. The paired verification directions include enhanced verification directions and weakened verification directions. Select one object to be calibrated in sequence, and while keeping the reference state of other objects to be calibrated unchanged, apply calibration perturbations along the enhanced calibration direction and the weakened calibration direction respectively to obtain the corresponding perturbation response; The corresponding disturbance response is compared with the benchmark simulation response, and the effective response change that varies with the verification direction is extracted. Based on this, the response characteristics of the object to be corrected are formed.

3. The stage-partition correction method for foundation pit support simulation data according to claim 2, characterized in that, The step of comparing the corresponding disturbance response with the benchmark simulation response and extracting the effective response change that varies with the verification direction includes: The enhanced disturbance response and the reduced disturbance response are compared with the baseline simulation response under the same monitoring type, measuring point or wall segment and time to obtain the enhanced response offset and the reduced response offset; When the two change in opposite directions at the same location and time period, or increase or decrease in an orderly manner along the enhanced disturbance, the reference state, and the weakened disturbance, and the time period in which they occur is after the associated action period of the current disturbance object, and the spatial range falls within its engineering action range or force transmission influence range, the corresponding response offset is determined as an effective response change.

4. The stage-partition correction method for foundation pit support simulation data according to claim 3, characterized in that, The simulation-measured residual segment is obtained through the following steps: By matching the baseline simulation response with the field measured response according to the same monitoring type, location, and sampling time, a simulation-measured residual sequence is obtained; The effective deviation range is determined based on monitoring accuracy, normal fluctuation range during periods without construction disturbance, and allowable deviation of the project. Extract time intervals that continuously exceed the effective deviation range and whose residual change direction is consistent. Use the positions where they enter / exit the effective deviation range, change direction, or change due to construction events as boundaries to obtain simulation-measured residual segments.

5. The stage-partition correction method for foundation pit support simulation data according to claim 4, characterized in that, The process of performing unique attribution screening on the simulation-measured residual segments includes: The feature information of the simulation-measured residual segment is compared with the response features of each object to be corrected. The feature information includes monitoring type, spatial range, residual change direction and occurrence time. When all the feature information corresponds to the response characteristics of a certain object to be corrected, the attribution condition is determined to be met. The number of objects to be corrected that meet the assignment criteria for the same residual segment is counted. If the number is unique, it is identified as an identifiable residual segment and its assigned object is determined; otherwise, it is excluded from this round of correction.

6. The stage-partition correction method for foundation pit support simulation data according to claim 5, characterized in that, The process of defining the correction partition boundaries includes: The simulation time history is divided into multiple initial stages according to the existing stage boundaries, and the identifiable residual segments are assigned to the corresponding initial stages according to their start and end times. Assign an identifier to each identifiable residual fragment corresponding to its associated object; If different object identifiers exist within the same initial stage, a new partition boundary is formed at the point where the object identifier changes. Using the intervals containing only residual fragments that cannot be uniquely assigned as isolation boundaries, we obtain partitioning results where each stage partition corresponds to the same object to be corrected.

7. The stage-partition correction method for foundation pit support simulation data according to claim 6, characterized in that, The step of assigning identifiable residual segments to corresponding initial stages according to their start and end times includes: Identifiable residual fragments that fall completely into an initial stage are directly assigned to that stage; Identifiable residual segments that cross existing stage boundaries are split into multiple sub-segments at the boundaries, each assigned to its corresponding initial stage, and the object identifier of each sub-segment is retained.

8. The stage-partition correction method for foundation pit support simulation data according to claim 7, characterized in that, The identifiable residual segments within each stage partition of the partitioning results are corrected only for the objects to be corrected corresponding to that stage partition, including: Based on the response characteristics of the object to be corrected, determine the enhancement or reduction adjustment direction corresponding to the identifiable residual segment; Within the allowable adjustment range of the project, candidate correction values ​​are generated, and the simulation response is recalculated. If the residual magnitude within the partition decreases during this phase, and the non-corresponding monitoring response does not exceed the normal fluctuation range, then the correction amount is retained; otherwise, it is revoked or reduced. Traverse each stage partition to generate corrected simulation data.

9. The stage-partition correction method for foundation pit support simulation data according to claim 8, characterized in that, The step of determining the enhancement or reduction adjustment direction corresponding to the identifiable residual segment based on the response characteristics of the object to be corrected includes: When the direction of residual change of the identifiable residual segment is consistent with the direction of response change of the enhanced verification perturbation and opposite to the direction of response change of the weakened verification perturbation, it is determined as the direction of enhancement adjustment. Conversely, if it is consistent with the weakening verification perturbation and opposite to the strengthening verification perturbation, it is determined to be the weakening adjustment direction.

10. The stage-partition correction method for foundation pit support simulation data according to claim 9, characterized in that, The specific steps for obtaining the candidate correction value are as follows: Based on the verification perturbation corresponding to the adjustment direction, determine the effective response change caused by the unit verification perturbation; The residual amplitude of the identifiable residual segment within the stage partition is correlated with the change in effective response to obtain the correction ratio; Candidate correction values ​​are generated based on the correction ratio and the verification disturbance, and then limited to the engineering allowable adjustment range of the object to be corrected. When the same stage partition contains multiple identifiable residual segments, the weights are determined according to the monitoring accuracy, residual duration and residual amplitude, and a comprehensive correction ratio is formed to generate candidate correction quantities.

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