Description:FIELD OF DISCLOSURE
[0001] The present disclosure generally relates to the field of construction material evaluation and quality control, more specifically, relates to a system and method on site testing of pozzolanic reactivity in granite waste blended concrete.
BACKGROUND OF THE DISCLOSURE
[0002] The present invention introduces a fully field-operable approach for assessing the chemical reactivity and mechanical strength of granite waste powder in cementitious applications. Unlike processes restricted to laboratories, the invention enables dual-mode evaluation, combining chemical reactivity assessment and predictive strength measurement within a small timeframe. It employs simple methods such as colour indicator strips or portable titration inside an insulated chamber, making it highly adaptable for direct use at construction sites. By providing in-situ results, the system empowers engineers to predict a long process achieved strength result based on a short process with non-destructive test readings, thereby accelerating decision-making and ensuring effective utilization of granite waste powder in sustainable construction practices. Its compact, low-cost design eliminates dependency on specialized lab setups, ensuring usability by general field staff or site engineers.
[0003] The invention further distinguishes itself through digital augmentation, which enhances data handling, interpretation, and accessibility. Test outcomes are processed into structured performance reports that can be instantly retrieved on handheld devices, enabling seamless data portability and longitudinal record-keeping. This integration ensures scalability across multiple project sites and supports systematic material tracking over time. By merging portability with predictive modeling, the invention bridges the gap between on-site testing and actionable decision-making, delivering consistent and reliable insights without requiring advanced technical expertise or costly infrastructure. Such adaptability directly benefits construction workflows, reducing delays and promoting efficient use of supplementary cementitious materials.
[0004] A key novelty lies in the incorporation of computational intelligence into the evaluation process. Regression-based models transform raw field data into predictive insights, reducing experimental overhead while extracting maximum informational value from each test. By correlating early-stage chemical activity with long-term mechanical performance, the system ensures accurate forecasting of material strength within days instead of weeks. This predictive mechanism not only conserves time and resources but also enhances sustainability by facilitating optimized concrete mix designs using granite waste powder. The integration of intelligence-driven forecasting with simplified field techniques establishes the invention as a transformative advancement in sustainable construction material assessment.
[0005] Conventional approaches for evaluating supplementary cementitious materials are predominantly confined to laboratory environments. These setups require specialized infrastructure, titration equipment, and controlled curing chambers, which limit their accessibility and adaptability for real-time or field-based applications. The dependency on fixed laboratory settings makes such methods impractical for rapid evaluations, delaying the timely use of alternative binders in construction projects.
[0006] Another limitation of existing solutions is their single-mode operation. They either focus exclusively on chemical analysis, such as titration-based alkalinity measurements, or on mechanical testing through compressive strength determination after curing. As a result, the complete correlation between chemical reactivity and mechanical performance is seldom captured. Furthermore, compressive strength testing demands 7–28 days of curing, which extends decision-making timelines and hampers the quick deployment of new materials in dynamic construction environments.
[0007] Additionally, the conventional system is constrained by cost and expertise barriers. Skilled laboratory technicians are required to perform precise titration or handle compressive strength machines, leading to higher operational costs and limited reproducibility across different facilities. Existing systems are also optimized primarily for traditional materials like fly ash, slag, and silica fume, restricting their applicability to newer and more diverse supplementary materials. Collectively, these drawbacks highlight the inefficiency, inflexibility, and cost-intensiveness of the conventional testing ecosystem.
[0008] Thus, in light of the above-stated discussion, there exists a need for a system and a method for testing of pozzolanic reactivity in granite waste blended concrete.
SUMMARY OF THE DISCLOSURE
[0009] The following is a summary description of illustrative embodiments of the invention. It is provided as a preface to assist those skilled in the art to more rapidly assimilate the detailed design discussion which ensues and is not intended in any way to limit the scope of the claims which are appended hereto in order to particularly point out the invention.
[0010] According to illustrative embodiments, the present disclosure focuses on a system and a method for testing of pozzolanic reactivity in granite waste blended concrete which overcomes the above-mentioned disadvantages or provide the users with a useful or commercial choice.
[0011] An objective of the present disclosure is to provide a fully field-operable system for assessing the chemical reactivity and mechanical strength of granite waste powder in cementitious applications, eliminating the dependency on laboratory-only testing.
[0012] An objective of the present disclosure is to promote environmental sustainability by enabling the effective replacement of a significant fraction of cement with granite waste powder (GWP).
[0013] An objective of the present disclosure is to introduce a dual-mode evaluation approach, combining chemical reactivity prediction with mechanical strength forecasting, ensuring faster and more reliable insights than conventional single-mode methods.
[0014] An objective of the present disclosure is to enable rapid on-site testing within 1–2 days, significantly reducing the time required compared to traditional laboratory methods that take 7–28 days.
[0015] An objective of the present disclosure is to utilize simple, portable testing setups, such as insulated chambers with color indicator strips or titration methods, making the system compact, low-cost, and operable without specialized equipment.
[0016] An objective of the present disclosure is to offer a solution specifically calibrated for granite waste powder, ensuring more accurate and material-specific performance evaluation compared to generic systems designed for fly ash, slag, or silica fume.
[0017] An objective of the present disclosure is to ensure usability by general field staff or site engineers, removing the dependency on skilled laboratory technicians and enabling decentralized construction quality control.
[0018] An objective of the present disclosure is to deliver a low-cost, compact, and resource-efficient system that minimizes experimental overhead while maximizing informational value, thereby democratizing advanced material evaluation in both large-scale and small-scale construction projects.
[0019] An objective of the present disclosure is to integrate digital augmentation for real-time data processing, visualization, and reporting on handheld devices, thereby improving scalability, transparency, and record-keeping.
[0020] Yet another objective of the present disclosure is to support sustainable construction policies by generating verifiable datasets that can guide green certifications, material approval processes, and life-cycle assessments.
[0021] In light of the above, in one aspect of the present disclosure, a system 100 for pozzolanic reactivity testing and mechanical strength characterization of granite waste powder (GWP) blended concrete is disclosed herein. The system comprises a pozzolanic reactivity test unit 102 configured to perform chemical testing of the GWP blended concrete to determine early-age pozzolanic activity by automatically monitoring alkalinity changes in the solution and transmit the processed pH data. The system includes a communication network configured to transmit data between the several components of the system. The system also includes a non-destructive testing unit configured to evaluate early strength of concrete samples by imparting controlled stimuli and capturing corresponding responses, the responses being processed and correlated to strength development characteristics. The system also includes a processing unit connected to the non-destructive testing unit and pozzolanic reactivity test unit via the communication network configured to process the data received for the reactivity of GWP blended concrete, wherein the processing unit further comprises a data input module configured to acquire chemical testing data from the pozzolanic reactivity test unit and acquire strength-related data from the non-destructive testing unit, a data processing module configured to process the acquired data, a pozzolanic reactivity module to compute a field pozzolanic reactivity index (FPRI) that measures the chemical reactivity of the GWP in field environments, an early strength prediction module to predict early age strength of the GWP blended concrete, a decision and integration module configured to combine the outputs from the pozzolanic reactivity module and the early strength prediction module to evaluate and determine suitability of the granite waste powder concrete for construction, an output module configured to transmit the processed results and the interpreted data. The system also includes a user device connected to the processing unit configured to receive test results and predictive performance parameters from one or more testing units and to display the received data for user interpretation.
[0022] In one embodiment, the non-destructive testing unit may comprise testing instruments including but not limited to rebound hammer, an ultrasonic pulse velocity tester, resonance frequency tester, impact echo device, maturity meter, acoustic emission sensor.
[0023] In one embodiment, the pozzolanic reactivity module measures a change in alkalinity between an initial state and a final state of a pozzolanic reaction, and determines a field pozzolanic reactivity index (FPRI) based on said alkalinity change, the FPRI providing a quantitative measure of the chemical reactivity of the GWP under field conditions.
[0024] In one embodiment, the early strength prediction module applies a regression-based prediction model trained on experimental datasets correlating the non-destructive parameters with compressive strength, the model mapping predictor variables to predict the strength class or durability grade of the GWP-based concrete.
[0025] In one embodiment, the system further comprises a cloud database connected to the communication network, the cloud database being configured to store raw input data, extracted features, field pozzolanic reactivity index (FPRI) values, and historical records for remote access, large-scale analysis, and continuous model refinement.
[0026] In light of the above, in another aspect of the present disclosure, method for testing pozzolanic reactivity and mechanical strength evaluation of granite waste powder (GWP) blended concrete is disclosed herein. The method comprises performing a pozzolanic reactivity test on via a pozzolanic reactivity test unit. The method includes performing an evaluation of early strength of the cementitious sample by preparing GWP concrete sample and allowing 1 to 3 days of curing time via a non-destructive testing unit. The method also includes transmitting data through various components of the system via communication network. The method also includes processing the data for pozzolanic reactivity testing and mechanical strength evaluation via a processing unit. The method also includes acquiring pozzolanic reactivity testing data and strength-related data via a data input module. The method also includes computing a field pozzolanic reactivity index (FPRI) from the data received from the pozzolanic reactivity test unit to measure chemical reactivity of the GWP in field environments. The method also includes predicting early-age strength of the GWP blended concrete by analyzing data received from the non-destructive testing unit. The method also includes combining the computed FPRI and predicted early-age strength to evaluate and determine the suitability of the granite waste powder concrete for construction via the decision and integration module. The method also includes transmitting the processed results in a clear and actionable format for user evaluation and decision-making via an output module. The method also includes displaying processed results on the user device for the pozzolanic reactivity testing and mechanical strength evaluation of granite waste powder (GWP) blended concrete for user interpretation.
[0027] In light of the above, in another aspect of the present disclosure, method for performing a pozzolanic reactivity testing is disclosed herein. The method comprises introducing a measured amount of GWP and an aqueous calcium hydroxide solution into a reaction container. The method includes inserting the reaction container into a thermally insulated reaction chamber and maintaining at a predefined temperature and period of time. The method also includes determining alkalinity of the solution and transmitting, monitored alkalinity data further.
[0028] In one embodiment, the reaction container is maintained inside the thermally insulated chamber at 50° C over a period of time of 24hours.
[0029] These and other advantages will be apparent from the present application of the embodiments described herein.
[0030] The preceding is a simplified summary to provide an understanding of some embodiments of the present invention. This summary is neither an extensive nor exhaustive overview of the present invention and its various embodiments. The summary presents selected concepts of the embodiments of the present invention in a simplified form as an introduction to the more detailed description presented below. As will be appreciated, other embodiments of the present invention are possible utilizing, alone or in combination, one or more of the features set forth above or described in detail below.
[0031] These elements, together with the other aspects of the present disclosure and various features are pointed out with particularity in the claims annexed hereto and form a part of the present disclosure. For a better understanding of the present disclosure, its operating advantages, and the specified object attained by its uses, reference should be made to the accompanying drawings and descriptive matter in which there are illustrated exemplary embodiments of the present disclosure.
BRIEF DESCRIPTION OF THE DRAWINGS
[0032] To describe the technical solutions in the embodiments of the present disclosure or in the prior art more clearly, the following briefly describes the accompanying drawings required for describing the embodiments or the prior art. Apparently, the accompanying drawings in the following description merely show some embodiments of the present disclosure, and a person of ordinary skill in the art can derive other implementations from these accompanying drawings without creative efforts. All of the embodiments or the implementations shall fall within the protection scope of the present disclosure.
[0033] The advantages and features of the present disclosure will become better understood with reference to the following detailed description taken in conjunction with the accompanying drawing, in which:
[0034] FIG. 1 illustrates a block diagram of an pozzolanic reactivity testing and mechanical strength characterization of granite waste powder (GWP) blended concrete system, in accordance with an exemplary embodiment of the present disclosure; and
[0035] FIG.2 illustrates a method for testing pozzolanic reactivity and mechanical strength evaluation of granite waste powder (GWP) blended concrete; in accordance with an exemplary embodiment of the present disclosure.
[0036] Like reference, numerals refer to like parts throughout the description of several views of the drawing.
[0037] The pozzolanic reactivity and strength evaluation system for granite waste blended concrete is illustrated in the accompanying drawings, which like reference letters indicate corresponding parts in the various figures. It should be noted that the accompanying figure is intended to present illustrations of exemplary embodiments of the present disclosure. This figure is not intended to limit the scope of the present disclosure. It should also be noted that the accompanying figure is not necessarily drawn to scale.
DETAILED DESCRIPTION OF THE DISCLOSURE
[0038] The following is a detailed description of embodiments of the disclosure depicted in the accompanying drawings. The embodiments are in such detail as to communicate the disclosure. However, the amount of detail offered is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the present disclosure.
[0039] In the following description, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the present disclosure. It may be apparent to one skilled in the art that embodiments of the present disclosure may be practiced without some of these specific details.
[0040] Various terms as used herein are shown below. To the extent a term is used, it should be given the broadest definition persons in the pertinent art have given that term as reflected in printed publications and issued patents at the time of filing.
[0041] The terms “a” and “an” herein do not denote a limitation of quantity, but rather denote the presence of at least one of the referenced items.
[0042] The terms “having”, “comprising”, “including”, and variations thereof signify the presence of a component.
[0043] Referring now to FIG. 1 to FIG. 2 to describe various exemplary embodiments of the present disclosure. FIG. 1 illustrates a block diagram of an pozzolanic reactivity testing and mechanical strength characterization of granite waste powder (GWP) blended concrete system, in accordance with an exemplary embodiment of the present disclosure.
[0044] The system 100 may include a pozzolanic reactivity test unit 102, a communication network 106, a non-destructive testing unit 104, a processing unit 108 and a user device 122.
[0045] In one embodiment of the present invention, the system 100 further comprises a cloud database 124 connected to the communication network 110, the cloud database 124 being configured to store raw input data, extracted features, field pozzolanic reactivity index (FPRI) values, and historical records for remote access, large-scale analysis, and continuous model refinement.
[0046] The pozzolanic reactivity test unit 102 configured to perform chemical testing of the GWP blended concrete to determine early-age pozzolanic activity by automatically monitoring alkalinity changes in the solution and transmit the processed pH data. The pozzolanic reactivity test unit 102 is configured to evaluate the early-age chemical reactivity of granite waste powder (GWP) when blended with cementitious systems. The unit is designed to carry out in-situ chemical testing in a controlled manner, thereby enabling reliable assessment of pozzolanic activity at the construction site itself. The test unit comprises a reaction arrangement wherein a defined quantity of GWP is introduced into a reactive medium to initiate the pozzolanic reaction. The unit incorporates means to maintain the reaction mixture under controlled thermal and environmental conditions for a predetermined duration, ensuring stability and reproducibility of the chemical process. Alkalinity variations in the solution are automatically monitored throughout the test period. The unit is configured to receive and analyze any of these powders when introduced into the reactive medium, thereby enabling determination of their respective pozzolanic reactivity under field-operable conditions.
[0047] In one embodiment of the present invention, the pozzolanic reactivity test unit 102 is not limited to testing granite waste powder (GWP) alone but is adaptable for use with a wide range of supplementary cementitious powders.
[0048] A communication network 106 configured to transmit data between the several components of the system 100. The communication network 106 seamlessly transmits real-time data between the pozzolanic reactivity test unit 102, non-destructive testing unit 104 and processing unit 108.
[0049] In one embodiment of the present invention, the communication network 106 may be both wired and wireless.
[0050] In one embodiment of the present invention, the communication network 104 may include, Wi-Fi, bluetooth, ethernet, cellular networks such as 2G, 3G, 4G, and 5G, wide area network (WAN), local area network (LAN), and virtual area network (VAN), metropolitan area network (MAN), serial communication protocols, and universal serial bus (USB) interfaces for an input/output connectivity. Embodiments of the present disclosure are intended to cover all types of communication technologies and networks including, known, related art, and or later developed technologies.
[0051] The non-destructive testing unit 104 configured to evaluate early strength of concrete samples by imparting controlled stimuli and capturing corresponding responses, the responses being processed and correlated to strength development characteristics. The unit is designed to carry out strength assessment without causing physical damage to the specimen, thereby preserving its structural integrity for further analysis. Its primary purpose is to provide quantitative indicators of concrete hardness, density, and internal compactness at early ages of curing, which directly reflect the rate of strength gain and the suitability of the material for structural application. By imparting controlled stimuli to the concrete and capturing the corresponding responses, the unit enables accurate correlation between measurable physical parameters and characteristic strength development.
[0052] In one embodiment of the present invention, the non-destructive testing unit 104 may comprise testing instruments including but not limited to rebound hammer, an ultrasonic pulse velocity tester, resonance frequency tester, impact echo device, maturity meter, acoustic emission sensor. Each of these instruments is capable of imparting a controlled stimulus to the concrete specimen and capturing a corresponding response parameter that reflects the material’s stiffness, density, or strength development.
[0053] In a preferred embodiment, the non-destructive testing unit 104 may use a digital rebound hammer configured to generate a controlled mechanical impulse on the exposed surface of the concrete specimen and measure the rebound response. The rebound value obtained provides a direct indication of the surface hardness, which is processed as a parameter linked to early compressive strength development of the concrete. The digital rebound hammer enables repeatable and precise measurements, while eliminating operator bias by converting the rebound into electronically recorded data for subsequent processing.
[0054] In another preferred embodiment, the non-destructive testing unit may use a digital ultrasonic pulse velocity tester configured to emit high-frequency ultrasonic pulses through the body of the concrete specimen and record the transmitted signals at the receiving end. The travel time of the ultrasonic waves across the concrete provides a measure of its internal density and homogeneity, parameters that are directly correlated with strength gain and durability.
[0055] The processing unit 108 connected to the non-destructive testing unit 104 and pozzolanic reactivity test unit 102 via the communication network 106. The processing unit 108 is configured to process the data received for the reactivity of GWP blended concrete. The processing unit 108 further comprises several modules including a data input module 110, a data processing module 112, a pozzolanic reactivity module 114, an early strength prediction module 116, a decision and integration module 118, an output module 120 and a user device 122.
[0056] The data input module 110 is configured to acquire chemical testing data from pozzolanic reactivity test unit 102 and acquire strength-related data from the non-destructive testing unit 104. The data input module 110 acquires chemical testing data from the pozzolanic reactivity test unit 102, such as alkalinity variation and related reaction progress indicators, and simultaneously acquires strength-related data from the non-destructive testing unit 104, such as rebound values, pulse velocity, or other response parameters. By consolidating both chemical and mechanical datasets, the data input module ensures that information from multiple sources is synchronized and available in a structured format for subsequent computational processing.
[0057] The data processing module 112 configured to process the acquired data. and perform computational analysis for deriving performance indices of the GWP blended concrete. The module thereby transforms raw experimental measurements into interpretable metrics such as early-age chemical reactivity, predicted compressive strength, and durability indices. The data processing module further ensures normalization of results against reference standards, filtering of noise in sensor signals, and integration of chemical and mechanical datasets into a unified analytical output.
[0058] The pozzolanic reactivity module 114 to compute a field pozzolanic reactivity index (FPRI) that measures the chemical reactivity of the GWP in field environments. The pozzolanic reactivity module 114 processes alkalinity data corresponding to initial and final stages of reaction, acquired from the pozzolanic reactivity test unit 102, and determines the extent of lime consumption as a function of pozzolanic activity. The calculated FPRI provides a quantitative index representing the reactivity of the supplementary cementitious material under field-operable conditions. It further incorporates calibration algorithms to normalize readings against reference binders, ensuring reliability and comparability of results across different testing environments. By automatically converting raw chemical measurements into a standardized reactivity index, the pozzolanic reactivity module enables direct evaluation of the contribution of granite waste powder to the overall hydration process of cementitious systems.
[0059] In one embodiment of the present invention, the pozzolanic reactivity module 114 measures a change in alkalinity between an initial state and a final state of a pozzolanic reaction, and determines a field pozzolanic reactivity index (FPRI) based on said alkalinity change, the FPRI providing a quantitative measure of the chemical reactivity of the GWP under field conditions. The FPRI provides a quantitative measure of the chemical reactivity of the GWP under field conditions by correlating the reduction in alkalinity with the extent of lime fixation in the reaction medium. The module processes data derived from including but not limited to pH or titration- transmitted electronically from the pozzolanic reactivity test unit 102 and applies computational algorithms to convert raw alkalinity values into a standardized numerical index.
[0060] The early strength prediction module 116 to predict early age strength of the GWP blended concrete. The early strength prediction module 116 processes mechanical response parameters, such as rebound values from impact testing and transit times of ultrasonic waves through the concrete matrix, and correlates these responses with standardized strength development characteristics. By employing computational models, the module converts raw non-destructive test signals into strength prediction values expressed in terms of compressive strength or equivalent performance indices. This enables timely assessment of the structural adequacy of the concrete within 1 to 3 days of curing, thereby providing an early indication of its expected 28-day strength and overall suitability for construction purposes.
[0061] In one embodiment of the present invention, the early strength prediction module 116 applies a regression-based prediction model trained on experimental datasets correlating the non-destructive parameters with compressive strength, the model mapping predictor variables to predict the strength class or durability grade of the GWP-based concrete. The datasets include correlations between non-destructive test parameters with the compressive strength values of concrete at various curing stages. The regression-based model may include but not limited to linear regression, multiple regression, polynomial regression, or machine-learning-assisted regression approaches, depending on the implementation.
[0062] The decision and integration module 118 configured to combine the outputs from the pozzolanic reactivity module 114 and the early strength prediction module 116 to evaluate and determine suitability of the granite waste powder concrete for construction. The module integrates chemical reactivity data, expressed through the field pozzolanic reactivity index (FPRI), with strength-related predictions derived from the regression-based early strength model, thereby ensuring that both material reactivity and mechanical performance are simultaneously considered in the decision-making process. The decision and integration module 118 applies a rule-based or weighted decision framework, which may include threshold criteria, multi-parameter scoring, or statistical fusion methods, to determine the suitability of the GWP concrete for structural, durability, or non-structural applications.
[0063] In one embodiment of the present invention, the module may generate a performance grade or pass- fail recommendation to assist engineers in real-time field decision-making.
[0064] The output module 120 configured to transmit the processed results and the interpreted data. The output module 120 may provide the results in both numerical and graphical formats, enabling easy interpretation by field engineers, researchers, or construction personnel. The transmitted outputs may include values of the field pozzolanic reactivity index (FPRI), predicted compressive strength, strength class or durability grade, and an overall suitability assessment of the granite waste powder blended concrete.
[0065] The user device 122 connected to the processing unit 108 configured to receive test results and predictive performance parameters from one or more testing units and to display the received data for user interpretation. The user device 122 may further receive processed outputs from the data processing module 112, the pozzolanic reactivity module 114, the early strength prediction module 116, and the decision and integration module 118. The device is designed to display the received data in a clear and interpretable manner, enabling users to assess the pozzolanic activity, strength development, and overall suitability of the granite waste powder blended concrete.
[0066] FIG.2 illustrates a method 200 for testing pozzolanic reactivity and mechanical strength evaluation of granite waste powder (GWP) blended concrete; in accordance with an exemplary embodiment of the present disclosure.
[0067] The method 200 may include the following steps:
[0068] At step 202, performing a pozzolanic reactivity test on via a pozzolanic reactivity test unit 104.
[0069] At step 204, performing an evaluation of early strength of the cementitious sample by preparing GWP concrete sample and allowing 1 to 3 days of curing time via a non-destructive testing unit 104.
[0070] At step 206, transmitting data through various components of the system 100 via communication network 106.
[0071] At step 208, processing the data for pozzolanic reactivity testing and mechanical strength evaluation via a processing unit 108.
[0072] At step 210, acquiring pozzolanic reactivity testing data and strength-related data via a data input module 110.
[0073] At step 212, computing a field pozzolanic reactivity index (FPRI) from the data received from the pozzolanic reactivity test unit 102 to measure chemical reactivity of the GWP in field environments.
[0074] At step 214, predicting early-age strength of the GWP blended concrete by analyzing data received from the non-destructive testing unit.
[0075] At step 216, combining the computed FPRI and predicted early-age strength to evaluate and determine the suitability of the granite waste powder concrete for construction via the decision and integration module 118.
[0076] At step 218, transmitting the processed results in a clear and actionable format for user evaluation and decision-making via an output module.
[0077] At step 220, displaying processed results on the user device 122 for the pozzolanic reactivity testing and mechanical strength evaluation of granite waste powder (GWP) blended concrete for user interpretation.
[0078] In one embodiment of the present invention, the pozzolanic reactivity testing is performed by introducing a measured amount of GWP and an aqueous calcium hydroxide solution into a reaction container, inserting the reaction container into a thermally insulated reaction chamber and maintaining at a predefined temperature and period of time and determining alkalinity of the solution and transmitting, monitored alkalinity data further.
[0079] In one embodiment of the present invention, the reaction container is maintained inside the thermally insulated chamber at 50° C over a period of time of 24 hours. The thermal insulation ensures uniform heat distribution and minimizes external temperature fluctuations, thereby enabling consistent reaction kinetics during the pozzolanic activity assessment. Maintaining the container under such regulated thermal conditions allows for accelerated monitoring of alkalinity changes and reliable computation of the field pozzolanic reactivity index (FPRI).
[0080] The best mode of operation of the present system 100 begins with performing a pozzolanic reactivity test on a cementitious mixture incorporating granite waste powder (GWP) through a pozzolanic reactivity test unit 102. The unit continuously monitors changes in alkalinity during the reaction and generates chemical reactivity data. Parallelly, an evaluation of early strength is performed by preparing a GWP-blended concrete sample, subjecting the sample to 1 to 3 days of curing, and subsequently analyzing the strength through a non-destructive testing unit 104. The data generated from the chemical and strength assessments is transmitted through the communication network 106 and acquired via a data input module 110. The data received from the pozzolanic reactivity test unit 102 to measure chemical reactivity of the GWP in field environments is used is compute a field pozzolanic reactivity index (FPRI). The early strength of the GWP blended concrete is predicted by analyzing data received from the non-destructive testing unit. The computed FPRI and predicted early-age strength are then combined to evaluate and determine the suitability of the granite waste powder concrete for construction via the decision and integration module 118. the processed results are transmitted in a clear and actionable format for user evaluation and decision-making via an output module. The processed results are displayed on the user device 122 for the pozzolanic reactivity testing and mechanical strength evaluation of granite waste powder (GWP) blended concrete for user interpretation.
[0081] The system disclosed has the ability to perform chemical and mechanical assessment through a single and field- operable system. This attracts comparison with conventional lab tests that may take up to days or a team of highly qualified manpower, but in this case, it cannot only be fast and cheap but also precise. The equipment also has the focus on portability, simplicity as well as durability comprising rugged materials. These modules in totality will collectively offer a complete picture of not only the chemical reactivity, but also mechanical strength development power of GWP-blended concrete thereby resolving a huge problem in existing construction quality assurance processes.
[0082] While the invention has been described in connection with what is presently considered to be the most practical and various embodiments, it will be understood that the invention is not to be limited to the disclosed embodiments, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the scope of the appended claims.
[0083] A person of ordinary skill in the art may be aware that, in combination with the examples described in the embodiments disclosed in this specification, units and algorithm steps may be implemented by electronic hardware, computer software, or a combination thereof.
[0084] The foregoing descriptions of specific embodiments of the present disclosure have been presented for purposes of illustration and description. They are not intended to be exhaustive or to limit the present disclosure to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described to best explain the principles of the present disclosure and its practical application, and to thereby enable others skilled in the art to best utilize the present disclosure and various embodiments with various modifications as are suited to the particular use contemplated. It is understood that various omissions and substitutions of equivalents are contemplated as circumstances may suggest or render expedient, but such omissions and substitutions are intended to cover the application or implementation without departing from the scope of the present disclosure.
[0085] Disjunctive language such as the phrase “at least one of X, Y, Z,” unless specifically stated otherwise, is otherwise understood with the context as used in general to present that an item, term, etc., may be either X, Y, or Z, or any combination thereof (e.g., X, Y, and/or Z). Thus, such disjunctive language is not generally intended to, and should not, imply that certain embodiments require at least one of X, at least one of Y, or at least one of Z to each be present.
[0086] In a case that no conflict occurs, the embodiments in the present disclosure and the features in the embodiments may be mutually combined. The foregoing descriptions are merely specific implementations of the present disclosure, but are not intended to limit the protection scope of the present disclosure. Any variation or replacement readily figured out by a person skilled in the art within the technical scope disclosed in the present disclosure shall fall within the protection scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the protection scope of the claims.
, Claims:I/We Claim:
1. A system (100) for pozzolanic reactivity testing and mechanical strength characterization of granite waste powder (GWP) blended concrete, the system (100) comprising:
a pozzolanic reactivity test unit (102) configured to perform chemical testing of the GWP blended concrete to determine early-age pozzolanic activity by automatically monitoring alkalinity changes in the solution and transmit the processed pH data;
a communication network (106) configured to transmit data between the several components of the system (100);
a non-destructive testing unit (104) configured to evaluate early strength of concrete samples by imparting controlled stimuli and capturing corresponding responses, the responses being processed and correlated to strength development characteristics;
a processing unit (108) connected to the non-destructive testing unit (104) and pozzolanic reactivity test unit (102) via the communication network (106) configured to process the data received for the reactivity of GWP blended concrete, wherein the processing unit (108) further comprises:
a data input module (110) configured to acquire chemical testing data from pozzolanic reactivity test unit 102 and acquire strength-related data from the non-destructive testing unit 104;
a data processing module (112) configured to process the acquired data;
a pozzolanic reactivity module (114) to compute a field pozzolanic reactivity index (FPRI) that measures the chemical reactivity of the GWP in field environments;
an early strength prediction module (116) to predict early age strength of the GWP blended concrete;
a decision and integration module (118) configured to combine the outputs from the pozzolanic reactivity module (114) and the early strength prediction module (116) to evaluate and determine suitability of the granite waste powder concrete for construction;
an output module (120) configured to transmit the processed results and the interpreted data; and
a user device (122) connected to the processing unit (108) configured to receive test results and predictive performance parameters from one or more testing units and to display the received data for user interpretation.
2. The system (100) as claimed in claim 1, wherein the system (100) further comprises a cloud database (132) connected to the communication network (110), the cloud database (122) being configured to store raw input data, extracted features, field pozzolanic reactivity index (FPRI) values, and historical records for remote access, large-scale analysis, and continuous model refinement.
3. The system (100) as claimed in claim 1, wherein the non-destructive testing unit (104) may comprise testing instruments including but not limited to rebound hammer, an ultrasonic pulse velocity tester, resonance frequency tester, impact echo device, maturity meter, acoustic emission sensor.
4. The system (100) as claimed in claim 1, wherein the pozzolanic reactivity module (114) measures a change in alkalinity between an initial state and a final state of a pozzolanic reaction, and determines a field pozzolanic reactivity index (FPRI) based on said alkalinity change, the FPRI providing a quantitative measure of the chemical reactivity of the GWP under field conditions.
5. The system (100) as claimed in claim 1, wherein the early strength prediction module (116) applies a regression-based prediction model trained on experimental datasets correlating the non-destructive parameters with compressive strength, the model mapping predictor variables to predict the strength class or durability grade of the GWP-based concrete.
6. A method (200) for testing pozzolanic reactivity and mechanical strength evaluation of granite waste powder (GWP) blended concrete, the method (200) comprising;
performing a pozzolanic reactivity test on via a pozzolanic reactivity test unit (104);
performing an evaluation of early strength of the cementitious sample by preparing GWP concrete sample and allowing 1 to 3 days of curing time via a non-destructive testing unit (104);
transmitting data through various components of the system (100) via communication network (106);
processing the data for pozzolanic reactivity testing and mechanical strength evaluation via a processing unit (108);
acquiring pozzolanic reactivity testing data and strength-related data via a data input module (110);
computing a field pozzolanic reactivity index (FPRI) from the data received from the pozzolanic reactivity test unit (102) to measure chemical reactivity of the GWP in field environments;
predicting early-age strength of the GWP blended concrete by analyzing data received from the non-destructive testing unit;
combining the computed FPRI and predicted early-age strength to evaluate and determine the suitability of the granite waste powder concrete for construction via the decision and integration module (118);
transmitting the processed results in a clear and actionable format for user evaluation and decision-making via an output module; and
displaying processed results on the user device (122) for the pozzolanic reactivity testing and mechanical strength evaluation of granite waste powder (GWP) blended concrete for user interpretation.
7. The method (200) as claimed in claim 6, wherein the pozzolanic reactivity testing is performed by,
introducing a measured amount of GWP and an aqueous calcium hydroxide solution into a reaction container;
inserting the reaction container into a thermally insulated reaction chamber and maintaining at a predefined temperature and period of time; and
determining alkalinity of the solution and transmitting, monitored alkalinity data further.
8. The method (300) as claimed in claim 8, wherein the reaction container is maintained inside the thermally insulated chamber at 50° C over a period of time of 24hours.