METHOD FOR DETERMINING STRENGTH OF CONCRETE BY ACOUSTIC EMISSION METHOD Russian patent published in 2023 - IPC G01N29/14 

Abstract RU 2807868 C1

FIELD: construction; concrete mixtures.

SUBSTANCE: scope of the invention relates namely to the control of concrete mixtures of various compositions using the method of acoustic emission signals during the formation of their structure. A method for determining the strength of concrete with chemical and mineral additives using the acoustic emission method is disclosed, which includes determining the parameters of acoustic emission signals and recording the time of their appearance in real time. To implement the method, a deep waveguide with an attached acoustic emission transducer is placed in the concrete mixture. On concrete cubes of different compositions measuring at least 200×200×200 mm the structure formation is monitored, and each composition is duplicated two to three times, and for each composition monitoring is carried out continuously for at least twenty-eight days. Next, the strength characteristics of the concrete are monitored, and the strength of the control cubes is monitored on the 1st, 3rd, 7th, 14th and 28th days of curing. After this, the relationships and dependencies of the informative parameters of the acoustic emission signals between the strength characteristics of concrete are established. Then, the informative parameters of acoustic emission signals, which closely correlate with the strength of concrete, are considered, and the optimal time intervals for measuring acoustic emission are established, which makes it possible to most accurately predict the kinetics of further strength gain of concrete using the acoustic emission method. After this, acoustic emission pulses are recorded in real time, and three stages of structure formation are distinguished, characterized by varying degrees of acoustic emission intensity. The start and end times of the second period are specified in an automated mode, in which the Akaike information criterion is used

where AIC is the value of the Akaike criterion coefficient; – dependence of the number of acoustic emission pulses on time; N – duration of the observation interval; k – reference number. In this case, the change in the sign of the derivative of the Akaike function, which corresponds to the disorder of the process, is used as a detection criterion, and the moment when the criterion reaches a minimum is selected as the time. Within the framework of this algorithm, the Akaike criterion is applied twice - to determine the beginning and end of the second stage. Next, set the start and end times of each of the three stages, the parameters and are determined. The parameter is determined as the difference between the obtained values of the beginning and end of the second period, and the slope of the third perioddepending on the sum of acoustic emission pulses versus time. The parameter is determined by the least squares method in a time window, the beginning of which coincides with the beginning of the third stage, and based on the estimated parameters and . Then the strength of concrete is predicted in accordance with predictive models. SP-180 according to TU 20.59.59-003-26025492-2018 or CENTRIPOR TFM 411R are used as chemical additives, and ground and granulated blast furnace slag is used as a mineral additive.

EFFECT: ability to determine the strength of concrete with chemical and mineral additives using the acoustic emission method, and the relative error of using an automated algorithm when predicting strength does not exceed 4.0%.

1 cl, 12 tbl, 64 dwg

Similar patents RU2807868C1

Title Year Author Number
METHOD OF INCREASING ACCURACY OF LOCATING NOISE-LIKE SOURCES OF ACOUSTIC EMISSION BASED ON SPECTRAL-TIME SELF-SIMILARITY 2012
  • Rastegaev Igor' Anatol'Evich
  • Danjuk Aleksej Valerievich
  • Vinogradov Aleksej Jur'Evich
  • Merson Dmitrij L'Vovich
  • Chugunov Aleksej Vladimirovich
RU2515423C1
OPTICAL FIBER STRENGTH CONTROL METHOD 2021
  • Burdin Anton Vladimirovich
  • Burdin Vladimir Aleksandrovich
  • Dashkov Mikhail Viktorovich
  • Nizhgorodov Anton Olegovich
RU2762885C1
METHOD FOR CONTROLLING OPTICAL FIBER STRENGTH 2020
  • Andreev Vladimir Aleksandrovich
  • Burdin Vladimir Aleksandrovich
  • Burdin Anton Vladimirovich
  • Dashkov Mikhail Viktorovich
  • Nizhgorodov Anton Olegovich
RU2743737C1
PREDICTION OF CONCRETE FINAL ACTUAL STRENGTH 2013
  • Gol'Dman Feliks Aleksandrovich
  • Shejner Mikhail Jakovlevich
  • Gadaev Natan Rafailovich
RU2557984C2
METHOD FOR NON-DESTRUCTIVE TESTING OF OPTICAL FIBER STRENGTH 2021
  • Burdin Anton Vladimirovich
  • Burdin Vladimir Aleksandrovich
  • Dashkov Mikhail Viktorovich
RU2758340C1
ACOUSTIC-EMISSION METHOD FOR EARLY DETECTING DAMAGES IN DEFORMABLE ALUMINIUM ALLOYS 2015
  • Shibkov Aleksandr Anatolevich
  • Zheltov Mikhail Aleksandrovich
  • Zolotov Aleksandr Evgenevich
  • Denisov Andrej Aleksandrovich
  • Gasanov Mikhail Fakhraddinovich
RU2618760C1
METHOD OF DETERMINING APPARENT ACTIVATION ENERGY OF HYDRATION PROCESSES IN FINE-GRAINED CEMENT CONCRETES IN INITIAL PERIOD OF HARDENING 2024
  • Dmitrieva Mariya Aleksandrovna
  • Lejtsin Vladimir Noyakhovich
  • Puzatova Anastasiya Vyacheslavovna
  • Kogaj Alina Dmitrievna
RU2825857C1
METHOD FOR EXTRUSION OF FIBER CEMENT MATERIALS USING NANO- AND MICRO-ADDITIVES 2022
  • Dubrovin Ivan Olegovich
RU2784123C1
UNIVERSAL WAVEGUIDE OF ACOUSTIC EMISSION SIGNALS 2017
  • Rastegaev Igor Anatolevich
  • Merson Dmitrij Lvovich
  • Danyuk Aleksej Valerievich
  • Afanasev Maksim Anatolevich
  • Khrustalev Aleksandr Konstantinovich
RU2665360C1
METHOD OF RECORDING AND ANALYZING ACOUSTIC EMISSION SIGNALS IN A SYSTEM FOR DIAGNOSTIC MONITORING OF PRODUCTION FACILITIES 2019
  • Kuzmin Aleksej Nikolaevich
  • Prokhorovskij Aleksandr Sergeevich
  • Akselrod Efim Grigorevich Efim
  • Inozemtsev Vyacheslav Vladimirovich
RU2709414C1

RU 2 807 868 C1

Authors

Sagaidak Aleksandr Ivanovich

Bardakov Vladimir Vasilevich

Dates

2023-11-21Published

2022-12-05Filed