A method and system for comprehensive testing of performance of a building construction repair material

Abstract

The application discloses a kind of building construction repair material performance comprehensive test method and system, it is related to building material performance test technical field, by the implementation of step S1 to step S4, can simultaneously obtain the water loss rate parameter Wrt, interface residual stress parameter Sre and micro crack initiation rate parameter Crt in the same test procedure, and via the construction of normalization set Nor and feature set Ftr, so that these multidimensional features are jointly included in analysis, not like existing method only detects dry shrinkage or interface stress alone, leading to the coupling effect of missing material performance evolution, by further calculating composite stability parameter Ers and comparing with threshold set Ths, risk level identification Rlv can be directly obtained, and control suggestion instruction Cmd is generated simultaneously, so that test result not only gives the quantitative risk level of material performance, can effectively solve the deficiency that existing detection means cannot comprehensively determine multidimensional risk.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of building material performance testing, in particular to a building construction repair material performance comprehensive testing method and system. BACKGROUND

[0002] In modern civil engineering and construction engineering, material performance testing method is a wide research field, which not only includes the testing of mechanical properties and durability of building main structure materials, but also covers the performance evaluation of repair materials used in the construction process. Repair materials are different from ordinary building concrete or mortar, and are mainly used in the secondary construction and repair link after the cracks, spalling or local damage of buildings. Especially in the scenes of bridge crack repair, tunnel lining spalling repair, subway station water seepage disposal and outer wall facade renovation repair, whether the repair material can be closely combined with the original structure and maintain stability during service directly relates to the durability and safety of the project.

[0003] At present, in the performance testing of building repair materials, the common method mainly focuses on the measurement of single index, such as analyzing the volume shrinkage of materials due to water evaporation through dry shrinkage test, or measuring the bonding strength between the repair layer and the substrate through interface pull-out test. However, these single testing methods have obvious deficiencies: on the one hand, the dry shrinkage value alone cannot reflect the real stress state of the repair material at the interface; on the other hand, the single interface strength data cannot reveal the dynamic process of micro-cracks in the early stage of initiation and gradual expansion. This means that the existing methods are often scattered and fragmented, and lack a comprehensive evaluation means that can comprehensively reflect the whole process of water evaporation interface residual stress and micro-crack evolution. SUMMARY

[0004] In view of the deficiencies of the prior art, the present application provides a building construction repair material performance comprehensive testing method and system, which solves the problems mentioned in the background art.

[0005] To achieve the above purpose, the present application is realized by the following technical scheme: a building construction repair material performance comprehensive testing method, comprising the following steps:

[0006] S1, collecting the quality change, interface strain, and acoustic and image events of the repair material within the test period to form an original feature set Dat;

[0007] S2, preprocessing the original feature set Dat to obtain a normalized set Nor;

[0008] S3, extracting feature indexes based on the normalized set Nor to form a feature set Ftr;

[0009] S4, performing multi-dimensional mapping on the feature set Ftr based on a preset fusion mapping rule, calculating a composite stability parameter Ers, comparing the composite stability parameter Ers with a preset threshold set Ths, and obtaining a risk level identifier Rlv of the material performance risk determination and synchronously generating a control suggestion instruction Cmd.

[0010] Preferably, the S1 comprises S11.

[0011] S11, establishing parallel tests of two material test pieces in a test period of a building construction repair material performance, defining the first test piece as a test piece set Spa for collecting a water loss rate parameter Wrt and a micro-crack initiation rate parameter Crt, and defining the second test piece as a test piece set Spb on which a bonding interface with a substrate is prepared for collecting an interface residual stress parameter Sre.

[0012] The two test pieces are from the same batch, have the same water-binder ratio and external agent ratio, have the same size and curing system, and are placed in the same unit environment set Env controlled by the same environmental conditions; two-way collection is started with a unified time identifier Tmk to realize full-process synchronization, and the water loss rate parameter Wrt, the micro-crack initiation rate parameter Crt and the interface residual stress parameter Sre are obtained by executing the collection steps S111, S112 and S113.

[0013] S111, configuring a mass continuous monitoring device on the test piece set Spa to generate a mass matching time series, and forming the water loss rate parameter Wrt through difference between adjacent time points and time interval calculation;

[0014] S112, arranging acoustic emission and image collection on the surface of the test piece set Spa to identify micro-crack events, and forming the micro-crack initiation rate parameter Crt according to event frequency and crack number increment;

[0015] S113, after the test piece set Spb and the standard substrate set Sub are bonded and formed, obtaining a stress time history at the interface through a calibrated interface strain sensor or equivalent inversion measurement, and extracting a long-term retained part to form the interface residual stress parameter Sre;

[0016] The collected water loss rate parameter Wrt, interface residual stress parameter Sre, micro-crack initiation rate parameter Crt, time identifier Tmk and unit environment set Env are integrated to be indexed to the original feature set Dat with the time identifier Tmk.

[0017] Preferably, the S1 further comprises S12.

[0018] S12, performing data verification based on a preset rule, including completing missing elimination, basic denoising, time continuity check and extreme value clipping according to a verification rule set Rul, then completing time alignment check of water loss rate parameter Wrt, interfacial residual stress parameter Sre and micro crack initiation rate parameter Crt under the constraint of time identifier Tmk, and then replacing the three parameters after verification into the original feature set Dat;

[0019] The verification rule set Rul includes missing elimination rules, basic denoising rules, time interval tolerance rules and extreme value clipping rules.

[0020] The missing elimination rules are based on point-by-point checking of time series indexes, automatically eliminating invalid points and marking them as missing markers Mis.

[0021] The basic denoising rules are based on the moving average method of the sliding window, and the mutation or high-frequency fluctuation is smoothed.

[0022] The time interval tolerance rules are based on the method of time stamp comparison, calculating the sampling interval of adjacent data points and comparing it with the preset tolerance value, and when the tolerance is exceeded, inserting a gap and marking it as an abnormal marker Flg.

[0023] The extreme value clipping rules are based on the method of judging the physical reasonable range, based on the upper and lower limit range of each type of parameter, judging whether it is out of range, and when it is out of range, clipping and marking it as an abnormal marker Flg.

[0024] Preferably, the S2 includes S21.

[0025] S21, after obtaining the verified original feature set Dat, performing a normalization preprocessing procedure, using the range normalization method to standardize the data of different dimensions in the original feature set Dat, limiting to the interval range of [0, 1], so that the water loss rate parameter Wrt, the micro crack initiation rate parameter Crt and the interfacial residual stress parameter Sre have comparability in the same numerical interval; generating a normalized set Nor.

[0026] Preferably, the S3 includes S31.

[0027] S31, based on the normalized set Nor after the normalization preprocessing procedure, extracting the normalized water loss rate parameter Wrt and the micro crack initiation rate parameter Crt as the basic input.

[0028] Calculate the derived indicators: take the water loss rate parameter Wrt as the basis, use the adjacent time point difference method to calculate the change rate, form the feature change slope set Rat.

[0029] Meanwhile, the micro crack initiation rate parameter Crt is subjected to event frequency statistics and time aggregation analysis to quantify the burstiness and accumulativeness in the crack initiation process, and a micro crack event set Evn is formed.

[0030] The obtained feature change slope set Rat and micro crack event set Evn are incorporated into a normalization set Nor, and are renamed as a feature set Ftr.

[0031] Preferably, the S4 further comprises S41.

[0032] The S41 comprises, after obtaining the feature set Ftr, time series scanning and fixed-point extraction of the parameters and derived features based on the time identifier Tmk constraint, specifically comprising:

[0033] The maximum value of the water loss rate parameter Wrt in the test time window is extracted from the time series of the water loss rate parameter Wrt, and is defined as the water loss rate maximum value WrtMax.

[0034] The maximum value of the interface residual stress parameter Sre in the test time window is extracted from the time series of the interface residual stress parameter Sre, and is defined as the interface residual stress maximum value SreMax.

[0035] The maximum value of the micro crack initiation rate parameter Crt in the test time window is extracted from the time series of the micro crack initiation rate parameter Crt, and is defined as the micro crack initiation rate maximum value CrtMax.

[0036] The maximum slope value in the time series of the feature change slope set Rat is extracted, and is defined as the feature change slope maximum value RatMax.

[0037] The maximum value of the event aggregation intensity is extracted from the statistical results of the micro crack event set Evn, and is defined as the micro crack event intensity maximum value EvnMax.

[0038] The water loss rate maximum value WrtMax, the interface residual stress maximum value SreMax, the micro crack initiation rate maximum value CrtMax, the feature change slope maximum value RatMax and the micro crack event intensity maximum value EvnMax are integrated to obtain a mapping sub-score set Scr, and a maximum value weighted synthesis method is adopted to obtain a composite stability parameter Ers.

[0039] Preferably, the composite stability parameter Ers is weighted and synthesized by the following calculation formula:

[0040] ;

[0041] In the formula, Ersmax and Ersavg represent the weighted maximum value in the parameter weighting and the weighted average value in the parameter weighting, respectively. represents a deviation threshold coefficient, as a sensitivity adjustment factor, triggering the weighted maximum value feedback mode when the weighted maximum value exceeds the weighted average value, otherwise triggering the weighted average value feedback mode;

[0042] wherein the weighted maximum value Ersmax is obtained by

[0043] ;

[0044] wherein, represents a weight coefficient of the i-th parameter Xi, and satisfies the constraint condition ;

[0045] Xi represents the i-th parameter, and Xi∈{WrtMax, SreMax, CrtMax, RatMax, EvnMax};

[0046] the weighted average value Ersavg is obtained by a calculation formula.

[0047] Preferably, the S4 further comprises S42;

[0048] S42, after obtaining the composite stability parameter Ers, two-level judgment is performed according to a preset threshold set Ths, and a judgment result identifier is output, wherein the threshold set Ths includes a qualified threshold Thq;

[0049] When the composite stability parameter Ers is less than the qualified threshold Thq, it indicates that the building construction repair material performance comprehensive test is qualified, and a qualified judgment identifier Acp is output;

[0050] When the composite stability parameter Ers is greater than or equal to the qualified threshold Thq, it indicates that the building construction repair material performance comprehensive test is unqualified, and an unqualified judgment identifier Rej is output.

[0051] Preferably, the S4 further comprises S43;

[0052] S43, according to the obtained judgment result identifier, a risk level identifier Rlv is generated, and a control suggestion instruction Cmd is synchronously output;

[0053] Specifically, when the output result is the qualified judgment identifier Acp, the risk level identifier Rlv is generated as low risk, and the control suggestion instruction Cmd is generated as continuing to use the material and recording the archives, so as to confirm that the material can be put into construction;

[0054] When the output result is the unqualified judgment identifier Rej, the risk level identifier Rlv is generated as high risk, and the control suggestion instruction Cmd is generated as immediately stopping using and developing a replacement scheme or material adjustment, so as to prompt the risk control in the construction process;

[0055] Based on the obtained risk level identification Rlv and control suggestion instruction Cmd, together with the composite stability parameter Ers and the qualified threshold Thq, a processing log Log is written and a building construction repair material performance completion and risk level identification Rlv result is prompted on an interactive page.

[0056] A building construction repair material performance comprehensive testing system comprises a repair material testing data acquisition module, a material preprocessing module, a material feature extraction module and a material testing determination module.

[0057] The repair material testing data acquisition module acquires quality changes, interface strain and acoustic and image events of the repair material in a testing period to form an original feature set Dat.

[0058] The material preprocessing module pre-processes the original feature set Dat to obtain a normalized set Nor.

[0059] The material feature extraction module extracts feature indexes based on the normalized set Nor to form a feature set Ftr.

[0060] The material testing determination module performs multi-dimensional mapping on the feature set Ftr based on a preset fusion mapping rule, calculates a composite stability parameter Ers, compares the composite stability parameter Ers with a preset threshold set Ths, obtains a risk level identification Rlv of material performance risk determination, and synchronously generates a control suggestion instruction Cmd.

[0061] The application provides a building construction repair material performance comprehensive testing method and system, which has the following beneficial effects:

[0062] (1) Through the implementation of steps S1 to S4, the water loss rate parameter Wrt, the interface residual stress parameter Sre and the micro-crack initiation rate parameter Crt can be obtained simultaneously in the same testing process. Through further calculation of the composite stability parameter Ers and comparison with the threshold set Ths, the risk level identification Rlv can be directly obtained, and the control suggestion instruction Cmd can be synchronously generated. The testing result not only gives a quantitative risk level of material performance, but also provides an operation suggestion in engineering application, which can effectively solve the problem that the existing detection means cannot comprehensively determine the multi-dimensional risk, and ensure the use safety and long-term durability of the building construction repair material.

[0063] (2) By establishing parallel tests in the test piece set Spa and the test piece set Spb, the method can obtain the water loss rate parameter Wrt, the interfacial residual stress parameter Sre and the micro crack initiation rate parameter Crt under the same unit environment set Env, avoiding the incomparable problem caused by the difference in test piece source and environmental condition in the existing detection. At the same time, the time identifier Tmk is used to realize the whole process alignment, ensuring the synchronization of the three types of parameters in the time dimension, so that the cross-channel analysis result has strict correspondence. Further, through the missing elimination, basic denoising, time interval tolerance and extreme value clipping in the check rule set Rul, the integrity and physical rationality of the input sequence are ensured, avoiding the interference of abnormal data caused by short-time failure of monitoring equipment or environmental fluctuation on the overall trend judgment. Therefore, the method improves the real reliability and interpretability of the parameters at the original data level, realizes the resistance to external interference and active control of abnormal values, and lays a solid and reliable foundation for subsequent stability analysis.

[0064] (3) By extracting the maximum water loss rate WrtMax, the maximum interfacial residual stress SreMax, the maximum micro crack initiation rate CrtMax, the maximum characteristic change slope RatMax and the maximum micro crack event strength EvnMax in the feature set Ftr, and combining the double synthesis strategy of weighted average and weighted maximum, the composite stability parameter Ers is finally obtained. The method realizes the sensitive judgment of the comprehensive instability of the repair material, automatically generates the qualified judgment identifier Acp or the unqualified judgment identifier Rej, and further outputs the risk level identifier Rlv and the control suggestion instruction Cmd, so that the test result is no longer limited to the data analysis at the experimental level, but is transformed into the direct decision basis for the construction link. Not only the accuracy of risk capture is improved in the calculation link, but also the direct connection from experimental test to engineering management is realized in the output link, significantly improving the practical application value of the detection result in the construction site. BRIEF DESCRIPTION OF DRAWINGS

[0065] Figure 1 A building construction repair material performance comprehensive test method step schematic diagram is provided for the present application.

[0066] Figure 2 A building construction repair material performance comprehensive test system block diagram schematic diagram is provided for the present application.

[0067] Figure 3 A data transmission processing flowchart is provided. DETAILED DESCRIPTION

[0068] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all the other embodiments obtained by a person of ordinary skill in the art without creative effort belong to the protection scope of the present application.

[0069] Embodiment 1

[0070] The present application provides a kind of building construction repair material performance comprehensive test method, please refer to Figure 1 , comprising the following steps:

[0071] S1, the quality change of repair material in test period, interface strain and acoustics and image event are collected, and original feature set Dat is formed;

[0072] S2, original feature set Dat is preprocessed to obtain normalized set Nor;

[0073] S3, feature index is extracted based on normalized set Nor, and feature set Ftr is formed;

[0074] S4, based on the preset fusion mapping rule, the feature set Ftr is multidimensional mapping, the composite stability parameter Ers is calculated, and compared with the preset threshold set Ths, the risk level identification Rlv of material performance risk determination is obtained, and control suggestion instruction Cmd is generated synchronously.

[0075] In this embodiment, through the implementation of steps S1 to S4, the water loss rate parameter Wrt, the interfacial residual stress parameter Sre and the micro-crack initiation rate parameter Crt can be obtained simultaneously in the same test procedure, and through the construction of the normalized set Nor and the feature set Ftr, these multi-dimensional features are collectively included in the analysis, rather than only detecting shrinkage or interfacial stress as in the prior art, resulting in the omission of the coupling effect of material performance evolution. By further calculating the composite stability parameter Ers and comparing it with the threshold set Ths, the risk level identifier Rlv can be directly obtained, and the control recommendation instruction Cmd can be generated synchronously, so that the test result not only gives the quantitative risk level of material performance, but also provides operation recommendations in engineering applications. For example, when the composite stability parameter Ers exceeds the qualified threshold Thq, the unqualified determination identifier Rej can be output and the control recommendation instruction Cmd of "stop using immediately and develop alternative solutions" can be generated, so as to avoid early cracking of the repair layer in actual bridge crack repair due to excessive water loss or interfacial stress concentration; when the composite stability parameter Ers is lower than the qualified threshold Thq, the qualified determination identifier Acp can be output, prompting that the material can be directly applied to tunnel lining or ground repair construction. Thus, the present method can effectively solve the problem that the existing detection means cannot comprehensively determine the multi-dimensional risk, and ensure the safety and long-term durability of the building construction repair material.

[0076] Embodiment 2

[0077] Specifically, the S1 comprises S11;

[0078] S11, during the test period of the building construction repair material performance, two parallel tests of material test pieces are established, the first test piece is defined as the test piece set Spa, which is used to collect the water loss rate parameter Wrt and the micro-crack initiation rate parameter Crt; the second test piece is defined as the test piece set Spb, which is prepared with a bonding interface with the substrate, and is used to collect the interfacial residual stress parameter Sre;

[0079] The two test pieces come from the same batch, have the same water-binder ratio and external agent ratio, have the same size and curing system, and are placed in the same unit environment set Env controlled by the same environmental conditions; the two-way collection is started with a unified time identifier Tmk to realize synchronous whole process, and the water loss rate parameter Wrt, the micro-crack initiation rate parameter Crt and the interfacial residual stress parameter Sre are obtained by executing the collection steps S111, S112 and S113;

[0080] S111, a mass continuous monitoring device is configured on the test piece set Spa to generate a mass matching time sequence, and the water loss rate parameter Wrt is formed by difference between adjacent time points and time interval calculation;

[0081] S112, arranging acoustic emission and image acquisition on the surface of the specimen set Spa to identify micro-crack events, and forming a micro-crack initiation rate parameter Crt according to the event frequency and crack number increment;

[0082] S113, after the specimen set Spb and the standard substrate set Sub are bonded and formed, obtaining the stress time history at the interface through a calibrated interface strain sensor or equivalent inversion measurement, and extracting the long-term retained part to form an interface residual stress parameter Sre;

[0083] The collected water loss rate parameter Wrt, the interface residual stress parameter Sre, the micro-crack initiation rate parameter Crt, the time identifier Tmk, and the unit environment set Env are integrated to form an original feature set Dat indexed by the time identifier Tmk;

[0084] It should be noted that:

[0085] The environment set Env includes environmental quantities such as temperature, relative humidity, and wind speed, and functions to ensure that the two specimens are compared under the same conditions, and the effect is to provide a common external reference for cross-specimen data mapping;

[0086] The time identifier Tmk is used as a time anchor for the calculation and alignment of the two acquisition paths, and functions to ensure that the three parameters are strictly aligned in the time dimension, and the effect is to support subsequent cross-channel synchronous analysis

[0087] The water loss rate parameter Wrt functions to reflect the water loss process of the repair material in the early hardening stage, and the effect is to reveal the volume change trend caused by water loss, which is an important leading indicator for predicting dry shrinkage cracking;

[0088] The interface residual stress parameter Sre functions to quantify the stress accumulated by the repair layer and the substrate under different deformation paces, and the effect is to reveal the potential peeling risk at the interface, which is a key indicator for evaluating the stability of the interface;

[0089] The micro-crack initiation rate parameter Crt functions to depict the dynamic process of micro-cracks from invisible to gradual expansion, and the effect is to reveal the early damage evolution of the material, which is a leading indicator for predicting the formation of macroscopic cracks.

[0090] The S1 further includes S12;

[0091] S12, performing data verification based on preset rules, including completing missing elimination, basic denoising, time continuity check and extreme value clipping according to a verification rule set Rul, then completing time alignment check of water loss rate parameter Wrt, interfacial residual stress parameter Sre and micro crack initiation rate parameter Crt under the constraint of time identifier Tmk, then replacing the three parameters after verification into the original feature set Dat, and writing the rule processing record into the processing log Log;

[0092] The verification rule set Rul includes missing elimination rules, basic denoising rules, time interval tolerance rules and extreme value clipping rules;

[0093] The missing elimination rule is based on point-by-point check of time series index, when the number of sampling points is less than the set threshold or there is a blank section, the invalid point is automatically eliminated and marked as missing mark Mis, which functions to ensure the continuity of the input sequence and effects to avoid missing data misleading trend analysis.

[0094] The basic denoising rule is based on the moving average method of sliding window, which smoothes the mutation or high-frequency fluctuation while retaining the original curve as a control, which functions to reduce the interference of random noise on subsequent calculation, and effects to make the parameter curve smoother and more stable.

[0095] The time interval tolerance rule is based on the method of time stamp comparison, which calculates the sampling interval of adjacent data points and compares it with the preset tolerance value, when it exceeds the tolerance, it inserts the vacancy and marks it with an abnormal mark Flg, which functions to monitor the uniformity of data flow, and effects to avoid the distortion of the real process caused by too long sampling interval.

[0096] The extreme value clipping rule is based on the method of judging the physical reasonable range, which sets the upper and lower limit range of each type of parameter, judges whether it is out of range, when it is out of range, it is clipped and marked with an abnormal mark Flg, which functions to exclude extreme points that do not conform to the physical meaning, and effects to ensure that the data falls within the effective interval that can be explained.

[0097] In this embodiment, by establishing parallel tests in the test piece set Spa and the test piece set Spb, the method can obtain the water loss rate parameter Wrt, the interface residual stress parameter Sre and the micro crack initiation rate parameter Crt under the same unit environment set Env, avoiding the incomparable problem caused by the difference in test piece source and environmental condition in the existing detection. At the same time, the time identifier Tmk is used to realize the whole process alignment, ensuring the synchronization of the three types of parameters in the time dimension, so that the cross-channel analysis result has strict correspondence. Further, through the missing elimination, basic denoising, time interval tolerance and extreme value clipping in the check rule set Rul, the integrity and physical rationality of the input sequence are ensured, and the interference of abnormal data caused by the short-time failure of the monitoring equipment or the environmental fluctuation on the overall trend judgment is avoided. Therefore, the method improves the real reliability and explainability of the parameters at the original data level. For example, in the field environment of bridge crack repair, the water evaporation rate curve may be abnormal for a moment due to sudden wind speed change, and the noise points can be eliminated after basic denoising rule processing, ensuring that the water loss rate parameter Wrt reflects the real drying shrinkage process; in the tunnel lining repair process, if the sensor fails at individual time points due to high humidity, the continuous and reliable interface residual stress parameter Sre can still be obtained through the missing elimination rule and the time interval tolerance rule. Therefore, the method can resist external interference and actively control abnormal values in the data acquisition and verification stage, laying a solid and reliable foundation for subsequent stability analysis.

[0098] Embodiment 3

[0099] Specifically, the S2 includes S21;

[0100] S21, after obtaining the verified original feature set Dat, a normalization preprocessing procedure is performed, different dimension data in the original feature set Dat are standardized by using a range normalization method, and are limited to the interval range of [0, 1], so that the water loss rate parameter Wrt, the micro crack initiation rate parameter Crt and the interface residual stress parameter Sre have comparability in the same numerical interval; a normalized set Nor is generated as the input set for subsequent feature construction and composite calculation.

[0101] The S3 includes S31;

[0102] S31, based on the normalized set Nor after the normalization preprocessing procedure, the normalized water loss rate parameter Wrt and the normalized micro crack initiation rate parameter Crt are extracted as the basic input.

[0103] The derived index is calculated: taking the water loss rate parameter Wrt as the basis, the change rate is calculated by using the adjacent time point difference method to form a feature change slope set Rat.

[0104] Meanwhile, the micro crack initiation rate parameter Crt is subjected to event frequency statistics and time aggregation analysis to quantify the burst and accumulation in the crack initiation process, and a micro crack event set Evn is formed;

[0105] The obtained feature change slope set Rat and micro crack event set Evn are included in the normalized set Nor, and are renamed as the feature set Ftr;

[0106] It should be noted that: the feature change slope set Rat is a set calculated by difference calculation of adjacent time points based on the water loss rate parameter Wrt, which reflects the change trend of the water loss rate of the repair material and can sensitively capture the early water loss abnormal stage;

[0107] The micro crack event set Evn is a set formed based on the event frequency and time aggregation statistics of the micro crack initiation rate parameter Crt, which reveals the evolution process of micro cracks from dispersion to aggregation, and can reflect the potential risk of rapid crack propagation.

[0108] In this embodiment, by completing the normalization preprocessing of the original feature set Dat and generating the normalized set Nor, the method effectively solves the problem that different parameters cannot be directly compared due to the dimensional difference, so that the water loss rate parameter Wrt, the interfacial residual stress parameter Sre and the micro crack initiation rate parameter Crt have equal comparability in the unified [0, 1] interval. Further introducing the feature change slope set Rat and the micro crack event set Evn in the feature set Ftr not only supplements the dynamic process characteristics other than the static peak value, but also can sensitively capture the abnormal changes of early risks. For example, when the road repair material is constructed in the dry season, the water loss rate parameter Wrt itself may be in the normal range, but the rapid change in a short time will be amplified by the feature change slope set Rat, thereby prompting the dry shrinkage risk in advance; for example, in the repair of subway tunnels, although the average level of the micro crack initiation rate parameter Crt is low, once high-frequency concentrated events occur in a certain time period, the micro crack event set Evn can reveal the aggregation trend, thereby prompting the potential risk of crack propagation. Therefore, the method not only ensures the uniformity of cross-parameter comparison, but also introduces key features that can reveal dynamic mutations and crack evolution risks, providing more sensitive and comprehensive inputs for subsequent stability analysis.

[0109] Embodiment 4

[0110] Specifically, the S4 further includes S41;

[0111] S41, after obtaining the feature set Ftr, the parameters and derived features are subjected to time series scanning and fixed-point extraction under the constraint of the time identifier Tmk, specifically including:

[0112] From the time series of the water loss rate parameter Wrt, the maximum value within the test time window is extracted, defined as the water loss rate maximum value WrtMax; represents the most serious water loss trend of the material within the test period, and the effect is to reflect the potential shrinkage stress risk caused by shrinkage;

[0113] From the time series of the interfacial residual stress parameter Sre, the maximum value within the test time window is extracted, defined as the interfacial residual stress maximum value SreMax; represents the highest stress level at the interface, and the effect is to reflect the debonding or peeling risk;

[0114] From the time series of the micro-crack initiation rate parameter Crt, the maximum value within the test time window is extracted, defined as the micro-crack initiation rate maximum value CrtMax; represents the highest initiation rate of micro-cracks, and the effect is to reflect the adverse stage of rapid development of cracks;

[0115] From the time series of the feature change slope set Rat, the maximum slope value is extracted, defined as the feature change slope maximum value RatMax; used to capture the moment of abnormal sudden increase of water loss rate, and the effect is to reflect the sensitive indicator of material performance mutation;

[0116] From the statistical results of the micro-crack event set Evn, the maximum value of the event aggregation intensity is extracted, defined as the micro-crack event intensity maximum value EvnMax; represents the degree of concentrated burst of cracks, and the effect is to reveal the precursor of potential macroscopic cracks;

[0117] The water loss rate maximum value WrtMax, the interfacial residual stress maximum value SreMax, the micro-crack initiation rate maximum value CrtMax, the feature change slope maximum value RatMax and the micro-crack event intensity maximum value EvnMax are integrated to obtain a mapping sub-score set Scr, and a maximum value weighted synthesis method is used to obtain a composite stability parameter Ers, that is, the maximum value in the mapping sub-score set Scr is taken as the comprehensive instability representation value of the material within the test period.

[0118] The composite stability parameter Ers is specifically weighted and synthesized by the following calculation formula:

[0119] ;

[0120] In the formula, Ersmax and Ersavg represent the weighted maximum value in the parameter weighting and the weighted average value in the parameter weighting, respectively; represents a deviation threshold coefficient, which is a sensitivity adjustment factor. When the weighted maximum value exceeds the weighted average value, the weighted maximum value feedback mode is triggered, otherwise the weighted average value feedback mode is triggered;

[0121] Among them, the weighted maximum value Ersmax is obtained by the following calculation formula:

[0122] ;

[0123] Xi represents the i-th parameter, and Xi∈{WrtMax, SreMax, CrtMax, RatMax, EvnMax}; Xi represents the i-th parameter, and Xi∈{WrtMax, SreMax, CrtMax, RatMax, EvnMax}; ;

[0124] Xi represents the i-th parameter, and Xi∈{WrtMax, SreMax, CrtMax, RatMax, EvnMax};

[0125] The weighted average value Ersavg is obtained by The calculation formula.

[0126] The S4 further comprises S42;

[0127] S42, after obtaining the composite stability parameter Ers, two-level judgment is performed according to a preset threshold set Ths, and a judgment result identifier is output, wherein the threshold set Ths comprises a qualified threshold Thq;

[0128] When the composite stability parameter Ers is less than the qualified threshold Thq, it indicates that the building construction repair material performance comprehensive test is qualified, and a qualified judgment identifier Acp is output;

[0129] When the composite stability parameter Ers is greater than or equal to the qualified threshold Thq, it indicates that the building construction repair material performance comprehensive test is unqualified, and an unqualified judgment identifier Rej is output.

[0130] The S4 further comprises S43;

[0131] S43, according to the obtained judgment result identifier, a risk level identifier Rlv is generated, and a control suggestion instruction Cmd is synchronously output;

[0132] Specifically, when the output result is the qualified judgment identifier Acp, the risk level identifier Rlv generated is low risk, and the control suggestion instruction Cmd generated is to continue using the material and record the archives, so as to confirm that the material can be put into construction;

[0133] When the output result is the unqualified judgment identifier Rej, the risk level identifier Rlv generated is high risk, and the control suggestion instruction Cmd generated is to immediately stop using and develop a replacement scheme or material adjustment, so as to prompt the risk control in the construction process;

[0134] Based on the obtained risk level identifier Rlv and control suggestion instruction Cmd, together with the composite stability parameter Ers and the qualified threshold Thq, a processing log Log is written, and the building construction repair material performance completion and the risk level identifier Rlv result are prompted on an interactive page.

[0135] In this embodiment, by extracting the maximum water loss rate WrtMax, the maximum interfacial residual stress SreMax, the maximum micro-crack initiation rate CrtMax, the maximum characteristic change slope RatMax and the maximum micro-crack event strength EvnMax in the feature set Ftr, and combining the double synthesis strategy of weighted average and weighted maximum, the composite stability parameter Ers is finally obtained. This method realizes the sensitive determination of the comprehensive instability of the repair material. Unlike the existing detection which only outputs a single stress value or a water loss curve, this method can directly compare the composite stability parameter Ers with the qualified threshold Thq, automatically generate the qualified determination mark Acp or the unqualified determination mark Rej, and further output the risk level mark Rlv and the control suggestion instruction Cmd, so that the test result is no longer limited to data analysis at the experimental level, but is converted into a direct decision basis for the construction link. For example, in the repair of bridge expansion joints, if the composite stability parameter Ers exceeds the qualified threshold Thq, the unqualified determination mark Rej will be immediately output and the control suggestion instruction Cmd of "stop using immediately and develop alternative solutions" will be generated, helping the construction party to avoid large-scale failure before the material is widely used. In the repair of municipal road pits, when the composite stability parameter Ers is less than the qualified threshold Thq, the qualified determination mark Acp and the control suggestion instruction Cmd of "continue to use the material and record the archives" will be output, ensuring that the material can be quickly put into use and leaving a quality trace record. Therefore, this method not only improves the accuracy of risk capture in the calculation link, but also realizes the direct connection from experimental testing to engineering management in the output link, significantly improving the practical application value of the test result in the construction site.

[0136] Embodiment 5

[0137] A building construction repair material performance comprehensive testing system, please refer to Figure 2 and Figure 3 , in particular: including a repair material test data acquisition module, a material pretreatment module, a material feature extraction module and a material test determination module;

[0138] The repair material test data acquisition module acquires the quality change, interfacial strain and acoustic and image events of the repair material during the test period to form an original feature set Dat;

[0139] The material pretreatment module pre-processes the original feature set Dat to obtain a normalized set Nor;

[0140] The material feature extraction module extracts feature indicators based on the normalized set Nor to form a feature set Ftr;

[0141] The material test judgment module performs multi-dimensional mapping on the feature set Ftr based on a preset fusion mapping rule, calculates a composite stability parameter Ers, and compares the composite stability parameter Ers with a preset threshold set Ths to obtain a risk level identifier Rlv of the material performance risk judgment and synchronously generate a control suggestion instruction Cmd.

[0142] While the embodiments of the application have been illustrated and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the spirit and scope of the application, which is defined by the appended claims and their equivalents.

Claims

1. A comprehensive testing method for the performance of building construction repair materials, characterized in that: Includes the following steps: S1. Collect the mass change, interface strain, acoustic and image events of the repair material during the test period to form the original feature set Dat; S2. Preprocess the original feature set Dat to obtain the normalized set Nor; S3. Extract feature indicators based on the normalized set Nor to form the feature set Ftr; S4. Based on the preset fusion mapping rules, perform multidimensional mapping on the feature set Ftr, calculate the composite stability parameter Ers, compare it with the preset threshold set Ths, obtain the risk level identifier Rlv for material performance risk assessment, and simultaneously generate the control suggestion instruction Cmd. S4 includes S41; S41. After obtaining the feature set Ftr, based on the time identifier Tmk constraint, perform time series scanning and fixed-point extraction on the parameters and derived features, specifically including: The maximum value within the test time window is extracted from the time series of the water loss rate parameter Wrt and defined as the maximum water loss rate WrtMax. The maximum value within the test time window is extracted from the time series of the interface residual stress parameter Sre and defined as the maximum value of interface residual stress SreMax. The maximum value within the test time window is extracted from the time series of the microcrack initiation rate parameter Crt and defined as the maximum microcrack initiation rate CrtMax. The maximum slope value is extracted from the time series of the feature change slope set Rat and defined as the maximum feature change slope value RatMax. From the statistical results of the microcrack event set Evn, the maximum value of the event cluster intensity is extracted and defined as the maximum microcrack event intensity EvnMax. Then, the maximum values ​​of water loss rate WrtMax, interfacial residual stress SreMax, microcrack initiation rate CrtMax, characteristic change slope RatMax, and microcrack event intensity EvnMax are integrated to obtain the mapper fraction set Scr, and the composite stability parameter Ers is obtained by weighted synthesis of the maximum values. The composite stability parameter Ers is specifically calculated using the following weighted synthesis formula: ； In the formula, Ersmax and Ersavg represent the weighted maximum value and weighted average value in the parameter weighting, respectively; This represents the deviation threshold coefficient, which serves as a sensitivity adjustment factor. When the weighted maximum value exceeds the weighted average value, the weighted maximum value feedback mode is triggered; otherwise, the weighted average value feedback mode is triggered. The weighted maximum value Ersmax is obtained using the following formula: ； In the formula, Let represent the weight coefficient of the i-th parameter Xi, and satisfy the constraint condition. ; Xi represents the i-th parameter, and Xi∈{WrtMax, SreMax, CrtMax, RatMax, EvnMax}; weighted average Ersavg through Obtain the calculation formula.

2. The method for comprehensive performance testing of building construction repair materials according to claim 1, characterized in that: S1 includes S11; S11. During the testing period of the building construction repair material performance, two sets of material specimens are tested in parallel. The first specimen is defined as specimen set Spa, which is used to collect the water loss rate parameter Wrt and the microcrack initiation rate parameter Crt. The second specimen is defined as specimen set Spb, on which an bonding interface with the substrate is prepared, which is used to collect the interface residual stress parameter Sre. The two specimens were from the same mixing batch, with the same water-cement ratio and admixture ratio, and were subjected to the same size and curing regime. They were placed in the same environmental control unit set Env. The two acquisitions were started with a unified time identifier Tmk to achieve full-process synchronization. Specifically, the water loss rate parameter Wrt, the microcrack initiation rate parameter Crt, and the interfacial residual stress parameter Sre were acquired by executing acquisition steps S111, S112, and S113. S111. Configure a continuous quality monitoring device on the specimen set Spa to generate a quality matching time series, and calculate the water loss rate parameter Wrt by the difference between adjacent time points and the time interval. S112. Acoustic emission and image acquisition are arranged on the surface of the specimen set Spa to identify microcrack events, and the microcrack initiation rate parameter Crt is formed according to the event frequency and the increase in the number of cracks. S113. After the specimen set Spb and the standard substrate set Sub are bonded and formed, the stress time history at the interface is obtained by calibrated interface strain sensing or equivalent inversion measurement, and the long-term retained part forms the interface residual stress parameter Sre. The collected water loss rate parameter Wrt, interfacial residual stress parameter Sre, microcrack initiation rate parameter Crt, time marker Tmk, and element environment set Env are integrated and then incorporated into the original feature set Dat using the time marker Tmk as the index.

3. The method for comprehensive performance testing of building construction repair materials according to claim 2, characterized in that: S1 further includes S12; S12. Perform data verification based on preset rules, including missing data removal, basic noise reduction, time continuity check and extreme value clipping according to the verification rule set Rul. Then, under the time identifier Tmk constraint, complete the time alignment verification of the water loss rate parameter Wrt, the interface residual stress parameter Sre and the microcrack initiation rate parameter Crt. After that, replace the three verified parameters back into the original feature set Dat. The set of validation rules Rul includes missing removal rules, basic denoising rules, time interval tolerance rules, and extreme value pruning rules; Among them, the missing data removal rule is based on point-by-point checking of the time series index, automatically removing invalid data points and marking them as missing data points Mis; The basic denoising rule is based on the moving average method of a sliding window to smooth out abrupt changes or high-frequency fluctuations; The time interval tolerance rule is based on the timestamp comparison method. It calculates the sampling interval of adjacent data points and compares it with the preset tolerance value. When the tolerance is exceeded, a gap is inserted and an anomaly mark is added. The extreme value pruning rule is based on a method that judges the physical reasonable range. It judges whether the value exceeds the range based on the upper and lower limits preset for each type of parameter. When the value exceeds the range, it prunes the value and marks it with an abnormality flag Flg.

4. The method for comprehensive performance testing of building construction repair materials according to claim 3, characterized in that: S2 includes S21; S21. After obtaining the verified original feature set Dat, a normalization preprocessing procedure is performed. The data of different dimensions in the original feature set Dat are standardized by using the range normalization method and limited to the range [0, 1], so that the water loss rate parameter Wrt, the microcrack initiation rate parameter Crt, and the interface residual stress parameter Sre are comparable in the same numerical range; and a normalized set Nor is generated.

5. The method for comprehensive performance testing of building construction repair materials according to claim 4, characterized in that: S3 includes S31; S31. Based on the normalized set Nor after the normalized preprocessing process, extract the normalized water loss rate parameter Wrt and the microcrack initiation rate parameter Crt as the basic input; Calculation of derived index: Based on the water loss rate parameter Wrt, the rate of change is calculated using the difference method between adjacent time points, forming a set of characteristic change slopes Rat; Meanwhile, event frequency statistics and time aggregation analysis were performed on the microcrack initiation rate parameter Crt to quantify the suddenness and cumulativeity of the crack initiation process, forming a microcrack event set Evn; The acquired characteristic change slope set Rat and microcrack event set Evn are incorporated into the normalized set Nor; and simultaneously renamed to the characteristic set Ftr.

6. The method for comprehensive performance testing of building construction repair materials according to claim 1, characterized in that: S4 also includes S42; S42. After calculating the composite stability parameter Ers, perform two-level judgments based on the preset threshold set Ths, and output the judgment result identifier. The threshold set Ths includes the qualified threshold Thq. When the composite stability parameter Ers < the pass threshold Thq, it indicates that the comprehensive performance test of the building construction repair material is qualified, and the pass judgment mark Acp is output. When the composite stability parameter Ers ≥ the pass threshold Thq, it indicates that the comprehensive performance test of the building construction repair material is unqualified, and the unqualified judgment mark Rej is output.

7. The method for comprehensive performance testing of building construction repair materials according to claim 6, characterized in that: S4 also includes S43; S43. Based on the obtained judgment result identifier, generate a risk level identifier Rlv and simultaneously output the control suggestion instruction Cmd; Specifically, when the output result is a qualified judgment mark Acp, a risk level mark Rlv is generated indicating low risk, and a control recommendation instruction Cmd is generated to continue using the material and record it in the file to confirm that the material can be put into construction. When the output result is a non-conformance judgment mark Rej, a risk level mark Rlv is generated indicating high risk, and a control recommendation instruction Cmd is generated to immediately stop use and implement alternative solutions or material adjustments to indicate risk control during the construction process; Based on the obtained risk level indicator Rlv and control recommendation instruction Cmd, along with the composite stability parameter Ers and the qualified threshold Thq, the data is written into the processing log Log, and the results of the building construction repair material performance assessment and risk level indicator Rlv are displayed on an interactive page.

8. A comprehensive performance testing system for building construction repair materials, applied to the comprehensive performance testing method for building construction repair materials as described in any one of claims 1 to 7, characterized in that: It includes a repair material test data acquisition module, a material preprocessing module, a material feature extraction module, and a material test judgment module; The repair material test data acquisition module collects the mass change, interface strain, and acoustic and image events of the repair material during the test cycle, forming the original feature set Dat; The material preprocessing module preprocesses the original feature set Dat to obtain the normalized set Nor; The material feature extraction module extracts feature indicators based on the normalized set Nor, forming a feature set Ftr; The material testing and judgment module performs multidimensional mapping on the feature set Ftr based on the preset fusion mapping rules, calculates the composite stability parameter Ers, compares it with the preset threshold set Ths, obtains the risk level identifier Rlv for material performance risk judgment, and simultaneously generates control suggestion instructions Cmd.

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