501 results about "High performance concrete" patented technology

The invention relates to the technical field of anti-cracking performance testing, in particular to an ultra-high performance concrete anti-cracking performance testing system and a dynamic monitoring method thereof.The system comprises a dynamic stress field simulation feedback module used for sensing three-dimensional distribution of a micro stress field in concrete in real time by constructing a flexible loading array to obtain dynamic stress field data; the multi-scale damage evolution tracking module is used for deploying a high-resolution acoustic emission network and a distributed optical fiber sensing layer based on dynamic stress field data of the flexible loading array to form a full-scale evolution graph from microdefects to macroscopic cracks; and the intelligent healing efficiency evaluation module obtains stress redistribution data and a full-scale evolution graph, and a repairing medium containing a tracer agent is injected into a preset crack path. According to the method, the whole process of crack resistance of the material from defect initiation to repair and regeneration can be quantitatively evaluated; and finally, outputting a dynamic evolution rule of the crack resistance and enhancing potential evaluation.

The invention relates to the technical field of ultra-high performance concrete detection, in particular to an ultra-high performance concrete construction process detection and analysis system based on multi-source data fusion. According to the technical scheme, the system comprises a multi-physics field sensing network, a heterogeneous data fusion engine, an intelligent diagnosis and analysis system and a visual decision support platform, and the multi-physics field sensing network is composed of multi-modal sensors deployed in links of raw materials, stirring, transportation, pouring and maintenance; and cross-scale data acquisition and heterogeneous data fusion engines from nanoscale interface reaction to meter-scale structure morphology are realized. Cross-scale and multi-physics-field comprehensive monitoring is achieved through the multi-physics-field sensing network, efficient data processing and analysis are conducted through the heterogeneous data fusion engine, construction quality dynamic evaluation is conducted through the intelligent diagnosis and analysis system, and scientific decision making and construction management are assisted through the visual decision support platform. Therefore, the construction quality is improved, the construction process is optimized, the construction risk is reduced, and comprehensive guarantee is provided for ultra-high performance concrete construction.

The invention relates to the technical field of concrete detection, in particular to a dynamic detection and analysis method and system for early performance of ultra-high performance concrete. According to the technical scheme, the method comprises the steps of establishing a raw material characteristic spectrum library based on multi-physics field coupling, constructing a dynamic detection array based on a time sequence, developing a multi-modal data fusion algorithm, establishing a nonlinear coupling effect decomposition model and implementing dynamic parameter inversion. According to the method, a technical chain of four-dimensional monitoring network-multi-physics field coupling analysis-cross-scale prediction-adaptive regulation and control is constructed, so that dynamic accurate detection and intelligent regulation and control of the early performance of the ultra-high performance concrete are realized, and the technical bottlenecks of a traditional method in the aspects of parameter coupling, cross-scale association and real-time regulation and control are solved; the early performance prediction precision and the maintenance efficiency are remarkably improved, the cracking risk is reduced, and reliable technical support is provided for application of the ultra-high performance concrete in major engineering.

The invention discloses a common concrete and ultra-high performance concrete performance prediction and mix proportion multi-objective optimization design method and system, and the method comprises the steps: obtaining a comprehensive data set which covers the mix proportion, performance data and cost data of common and ultra-high performance concrete; correlation analysis is carried out, and influence factors strongly correlated with the target variable are determined; constructing a concrete performance prediction model by using a machine learning algorithm, training and testing, then carrying out interpretability analysis, and selecting an optimal concrete performance prediction model; constructing a mix proportion optimization design objective function and an ultra-high performance concrete cost function; establishing a multi-objective optimization design mathematical model in combination with constraint conditions, a cost function and an optimization objective function; and solving by adopting a multi-objective evolutionary algorithm, generating an approximate Pareto frontier solution set, and determining an optimal mix proportion optimization design scheme. According to the method, the concrete performance can be predicted, the mix proportion with the optimal comprehensive performance and cost effectiveness is obtained, and multi-objective optimization design of the concrete mix proportion is achieved.

The invention discloses shrinkage-free aluminoferrite cement-based ultra-high performance concrete and a preparation method thereof, and belongs to the technical field of novel wall materials, and the shrinkage-free aluminoferrite cement-based ultra-high performance concrete comprises the following components: an activated cementing material, mineralized aggregate, an additive, reinforced fibers and mixing water. Due to the slow release effect of the methyl cellulose coating on the composite expanding agent, precise compensation of self-constriction is achieved, and contraction deformation in the curing and using process is effectively inhibited. Due to the unique mineral composition of the aluminoferrite cement, the early strength of the concrete is sharply improved, and the production cycle of prefabricated parts is greatly shortened. The steel fibers subjected to sand blasting and pre-wrapping modification can effectively bridge microcracks in the concrete and limit crack propagation; the polycarboxylate superplasticizer disperses the modified carbon nanofibers, crack initiation is inhibited from the microscopic level, and mechanical properties such as fracture resistance and impact resistance of the joint part and the prefabricated part are remarkably improved through cooperation of the polycarboxylate superplasticizer and the modified carbon nanofibers.

The invention provides an ultra-high performance concrete proportion design method based on an intelligent algorithm and functional requirements. The method comprises the following steps: S1, constructing an ultra-high performance concrete performance prediction database; s2, automatically selecting key variables based on function requirements; s3, training and predicting a machine learning model based on function requirements; and S4, optimal design of the ratio of the ultra-high performance concrete. According to the unsupervised anomaly detection method based on the isolation forest, the database is preprocessed, and the ultra-high performance concrete proportion design key variables are selected through the automatic variable selection method, so that rapid mapping from the mixing amount of each component of the ultra-high performance concrete to each function demand index is realized; through the particle swarm optimization (PSO), the ultra-high performance concrete with specific function requirements is subjected to proportioning design, and finally the ultra-high performance concrete proportioning value closest to the function requirement index is obtained, so that the problems of time and labor consumption, low efficiency and resource waste are solved.

The invention belongs to the technical field of concrete, and particularly relates to a preparation method and application of coal gangue-based ultra-high performance concrete UHPC for wet joints. Through composite gradient activation of calcination and ball milling and alkali-lithium salt synergistic excitation, efficient dissolution of active components of the coal gangue is achieved, the 3d compressive strength of the UHPC material is larger than or equal to 120 MPa, the 28d compressive strength of the UHPC material is larger than or equal to 150 MPa, and the UHPC material is improved compared with a traditional coal gangue-based material; meanwhile, through the synergistic effect of nano SiO2 / graphene oxide multi-scale reinforcement and steel fiber toughening, the interface bonding strength reaches 12-14 MPa, the chloride ion diffusion coefficient is smaller than 1.5 * 10 <-12 > m < 2 > / s, and the problems of wet joint interface debonding and durability degradation are solved.

The invention relates to the technical field of ultra-high-performance concrete materials, in particular to a low-carbon gold tailing-based ultra-high-performance concrete material suitable for a large-gradient pavement and a preparation method of the low-carbon gold tailing-based ultra-high-performance concrete material. According to the invention, the multi-stage gold tailings and the machine-made sand are adopted to replace quartz sand in a traditional ultra-high performance concrete material, and a low-carbon cementing material prepared from a large amount of solid waste and a limited early strength activator is adopted to replace traditional high-grade cement with a large mixing amount and is cooperated with a composite admixture and steel fibers; and the low-cost and environment-friendly ultra-high performance concrete material is prepared. The ultrahigh concrete material prepared by the invention has high compressive strength, high breaking strength, high toughness and excellent freezing resistance and chloride ion permeability resistance, and also has the performance of autonomously expanding flow, thereby meeting the construction requirements of cast-in-place of ultrahigh-performance concrete in a large-gradient pavement scene.

The invention belongs to the technical field of computer vision and high-performance concrete mechanical testing, and discloses a high-toughness concrete multi-crack behavior recognition and characterization method and system based on a deep learning method, and the method comprises the steps: constructing an image feature data set based on the features of a high-toughness concrete crack image sample; preprocessing the image feature data set to obtain a preprocessed data set; a SegB2-Unet neural network is constructed on the basis of a pre-training model Segformer-B2 and an improved U-net network, and the SegB2-Unet neural network is trained through the preprocessing data set, so that a semantic segmentation model of the high-toughness concrete cracks is obtained; and identifying the tensile crack of the high-toughness concrete based on the semantic segmentation model of the crack of the high-toughness concrete, and extracting the length and the width of the crack to obtain the shape information of the crack. The method is suitable for accurate identification and quantitative analysis of cracks in the uniaxial tensile test of the high-toughness concrete.

The invention belongs to the technical field of building materials, and particularly discloses maintenance-free lightweight spraying ultra-high performance concrete as well as a preparation method and application of the maintenance-free lightweight spraying ultra-high performance concrete. Comprising 700 to 900 parts of Portland cement, 120 to 200 parts of silica fume, 100 to 200 parts of a layered mineral admixture, 30 to 70 parts of a gradient active expanding agent, 600 to 800 parts of modified lightweight aggregate, 0.5 to 3 parts of a rheology regulating agent, 40 to 80 parts of composite fiber, 7 to 10 parts of a water reducing agent and 170 to 200 parts of water. Based on the synergistic effect of all the components, on the basis that the light ultra-high performance concrete can be continuously sprayed, the spraying performance, the shrinkage performance and the interface bonding performance are further improved, the anti-cracking performance, the mechanical performance and the durability of the light ultra-high performance concrete are enhanced, formwork erecting, film covering maintenance and later maintenance are not needed in construction, and the construction period is shortened. And moreover, the coating has the advantages of small apparent density, strong interface adhesion, thick single-time spraying, high crack resistance, low shrinkage, ultrahigh strength, high durability and the like.

The invention discloses a hypergraph neural network-based PVA fiber toughened UHPC material formula design method. The method comprises the steps of 1, multi-modal data acquisition and processing, 2, hypergraph structure construction, 3, HGNN model construction, 4, model training, and 5, performance optimization and reverse ratio design. According to the method, the high-order relationship among the multi-modal data such as the raw material, the proportion and the microstructure can be efficiently modeled, the precise prediction of the performance of the PVA fiber toughened UHPC and the optimal design of the proportion are realized, and the method is suitable for the performance prediction and proportion recommendation of various ultra-high performance concrete systems, and has wide engineering application prospects and industrial popularization values.

The invention relates to the technical field of ultra-high performance concrete (UHPC) construction, and discloses an intelligent construction environment adaptive optimization system for uHPC facility construction, which comprises a multi-source heterogeneous sensor network module, an intelligent decision algorithm module, an execution mechanism linkage module, a data closed-loop feedback module and a visual interaction interface module. According to the intelligent construction environment adaptive optimization system for uhpc facility construction, environmental parameters and UHPC hardening data are collected in real time through a multi-source heterogeneous sensor network, and multi-parameter coupling effects of temperature, humidity, wind speed, illumination and the like are accurately analyzed in combination with a multi-input channel modeling and attention mechanism of an improved LSTM neural network, so that the system can be applied to the intelligent construction environment adaptive optimization of the uhpc facility construction. Dynamic threshold value control on environment parameters of all stages of initial setting, final setting and maintenance of the UHPC is realized; the execution mechanism linkage module controls an instruction through cooperation of a three-level early warning mechanism and equipment, the temperature control error is remarkably improved from + / -3 DEG C of a traditional method, and humidity fluctuation is controlled within a smaller range.

The invention discloses a fatigue life prediction method for ultra-high performance concrete, and relates to the technical field of concrete fatigue life prediction. The method comprises the following steps: deploying a high-frequency response sensor at a load input key position of a high-performance concrete member; load time sequence signals dynamically responded by the high-performance concrete under the load effect are continuously collected, and basic data are provided for the whole fatigue life prediction process; and inputting the collected load time sequence signal into a fast Fourier transform algorithm to complete conversion from a time domain to a frequency domain. According to the method, high-frequency load characteristics are extracted through a high-frequency response sensor and fast Fourier transform, a load frequency intensity index is constructed based on a frequency spectrum tail trailing phenomenon, a micro-damage threshold is introduced to judge the fatigue degradation risk in real time, fatigue life reduction is dynamically applied according to the frequency intensity exceeding amplitude, dynamic evolution of fatigue life prediction is achieved, and the fatigue life prediction accuracy is improved. The safety and the reliability of the high-performance concrete member in a high-frequency load environment are obviously improved.

The invention discloses an energy storage battery box based on light high-performance concrete and a preparation method of the energy storage battery box, and belongs to the technical field of energy storage equipment. The energy storage battery box provided by the invention comprises a light high-performance concrete base body and a metal net embedded in the light high-performance concrete base body, according to the lightweight high-performance concrete matrix, a multi-component gel system composed of ordinary Portland cement, a shrinkage reducing agent, a solid waste-based geopolymer and steel slag micro powder is adopted, and solid waste-based artificial sand, fibers and a solid waste-based filling material in a specific proportion are compounded, so that a lightweight high-strength intrinsically fireproof concrete material is successfully prepared; meanwhile, a large amount of industrial solid wastes such as the desulfurized gypsum, the red mud, the steel slag tailings and the fly ash are utilized, efficient resource utilization is achieved, the raw material cost and full-life-cycle carbon emission are remarkably reduced, and the production efficiency is high.

The invention relates to the technical field of data processing, in particular to a BN-based UHPC mix proportion data analysis method and a strength prediction system.The intelligent level of ultra-high performance concrete mix proportion design is improved by introducing a Bayesian network model and a multi-objective optimization algorithm, and the method comprises the steps that firstly, an enhanced feature set is generated through feature engineering; a nonlinear relationship and a cross-level interaction effect among material parameters are fully excavated, and the characterization capability of the model on a complex material system is enhanced; secondly, the Bayesian network model is combined with causal reasoning and a hierarchical regularization strategy, so that the overfitting risk is reduced while the compressive strength prediction precision is ensured; in the multi-objective optimization link, through dynamic weight adjustment and Pareto frontier search, carbon emission and strength requirements are effectively balanced, and candidate schemes with low carbon and excellent mechanical properties are output; and finally, dynamic evaluation and risk analysis are carried out to further screen out a mix proportion with high stability and strong feasibility, and a reliable decision basis is provided for engineering practice.

The invention discloses a UHPC-foam concrete composite material with a sandwich structure and a preparation method of the UHPC-foam concrete composite material. The composite material comprises two ultra-high performance concrete (UHPC) panel layers, a foam concrete sandwich layer of a negative Poisson's ratio three-dimensional framework prepared through a photocuring three-dimensional printing technology is arranged between the two ultra-high performance concrete (UHPC) panel layers, and the three-dimensional framework is of an inward-concave honeycomb topological structure and has the characteristic of transverse expansion after being pressed; impact stress can be effectively dispersed, and a dual energy dissipation path is formed through a synergistic effect with a porous energy absorption mechanism of the foam concrete. The panel layer and the sandwich layer are combined through a layered pouring process, and an interface is subjected to scabbling treatment so as to enhance the bonding strength. The composite material is superior to a traditional material in the aspects of compressive strength and energy absorption performance, is suitable for the fields of anti-explosion buildings, military protection engineering, frontier defense facilities and the like, and has a wide application prospect.

The invention relates to the technical field of pumped storage power station water diversion systems, and discloses a method and device for determining a pressure pipeline reinforcement ultra-high performance concrete lining structure. The method comprises the steps that internal pressure information, radius information and lining thickness information of a target water channel, the design tensile strength of a tensile steel bar, the tensile stress borne by ultra-high performance concrete and the lining section area per unit length are obtained; calculating circumferential stress information of the target water channel based on the internal pressure information and the radius information; based on the circumferential stress information and the lining thickness information, the tensile force resultant force of the lining section in unit length is determined; determining the total sectional area of the tensile steel bars based on the tensile resultant force of the section of the lining in unit length, the designed tensile strength of the tensile steel bars, the tensile stress of the ultra-high performance concrete and the section area of the lining in unit length; determining the number of to-be-assembled reinforcements based on the total sectional area of the tensile reinforcements; and the pressure pipeline reinforcement ultra-high performance concrete lining structure is determined based on the number of the to-be-assembled steel bars and a preset steel bar arrangement rule.

The invention discloses an ultra-high performance concrete material for a bridge structure as well as a preparation method and application thereof, and particularly relates to the field of concrete. The ultrahigh-performance concrete material for the bridge structure is prepared from the following raw materials in parts by weight: 230 to 240 parts of cement, 140 to 150 parts of fly ash, 50 to 60 parts of silica fume, 250 to 260 parts of fine aggregate, 50 to 60 parts of coarse aggregate, 5 to 9 parts of water reducing agent, 80 to 90 parts of steel fiber, 0.03 to 0.08 part of modified graphene, 3 to 5 parts of expanding agent, 1 to 3 parts of viscosity modifier and 70 to 80 parts of water. According to the prepared ultrahigh-performance concrete material for the bridge structure, the viscosity of the ultrahigh-performance concrete is improved, the compressive strength, the breaking strength, the tensile strength and other properties of the ultrahigh-performance concrete are improved, and the application prospect of the ultrahigh-performance concrete material in the concrete for the bridge is expanded.

The invention discloses a local reinforcing device of a marine concrete pile and a construction method of the local reinforcing device, and belongs to the technical field of pile foundation construction engineering.The local reinforcing device comprises a reinforced concrete pipe pile, a steel pipe with an epoxy anti-corrosion coating and annular positioning hoops, and the upper end and the lower end of the outer wall of the steel pipe with the epoxy anti-corrosion coating are each connected with a set of annular positioning hoops; the steel pipe with the epoxy anti-corrosion coating and the reinforced concrete pipe pile are coaxially arranged, the steel pipe with the epoxy anti-corrosion coating is located at the broken pile position of the reinforced concrete pipe pile, and the steel pipe with the epoxy anti-corrosion coating and the reinforced concrete pipe pile are locked through the two sets of annular positioning hoops. By adopting the steel pipe with the anti-corrosion coating, welding the shear nails in the steel pipe, pouring the ultra-high performance concrete UHPC and a corresponding construction method, by utilizing the characteristics of high flowability, high impermeability and early high strength of the ultra-high performance concrete UHPC and combining the interface strengthening effect of the shear nails, the pain point of the traditional technology is accurately solved, and the construction efficiency is improved. And a reliable scheme is provided for ocean engineering broken pile reinforcement.

The invention discloses a UHPC formwork interlocking type shear wall and a construction method thereof.The construction method comprises the following steps that S1, a first shear wall and a second shear wall are prefabricated, and a UHPC formwork is installed at the end of the second shear wall; s2, configuring a combination relationship between the reinforcement cage and the shear wall based on the target structure form; s3, the end, away from the second shear wall, of the UHPC formwork is in positioning butt joint with the extending part of the first shear wall, and a formwork cast-in-place cavity is formed; and S4, concrete is poured into the cast-in-place cavity of the formwork, and curing and forming are conducted after vibrating and compacting are conducted. The structure is simple, UHPC is adopted as a permanent formwork to replace a traditional detachable formwork, on-site formwork-erecting-free construction is achieved, the formwork mounting and dismounting procedures in traditional cast-in-place shear wall construction are thoroughly omitted, and the construction period is shortened by 30% or above; and in combination with a hoisting-pouring two-stage construction process, mold-free and binding-free construction of the edge structure area is further achieved, and the overall construction efficiency is improved by 40% or above.

The invention relates to a method for detecting the strength of ultra-high performance concrete through a core drilling method with the diameter of 52 mm. The method comprises the following steps that S1, steel bar distribution is detected on a to-be-detected ultra-high performance concrete member through a steel bar detector, and a steel bar distribution grid is drawn; s2, core samples with the diameter of 52 mm are drilled in the grids; s3, after processing the core sample, carrying out a compressive strength test to obtain a compressive strength value of the core sample; and S4, presuming the structural concrete strength by utilizing a correction coefficient formula according to the compressive strength value of the ultra-high performance concrete core sample. According to the method, the optimal core sample size of UHPC sampling is obtained through a contrast test, a correction coefficient formula suitable for the UHPC optimal core sample is obtained according to test data, the obtained optimal core sample size meets the standard requirements, damage to the UHPC component is minimum, and the strength of the UHPC component can be obtained.

The invention relates to a digital intelligent regulation and control preparation method of a high-solid-waste low-carbon high-durability concrete connecting material, and solves the problems that an existing UHPC connecting material is difficult to balance high performance and low carbon, the solid waste resource utilization rate is low, a digital intelligent precise regulation and control means is lacked, and the cost is low. The method comprises the following steps: firstly, integrating data to construct a special database for the ultra-high performance concrete, establishing a raw material-process-performance mapping relation through multi-scale simulation, then optimizing target parameters through machine learning, preprocessing the raw materials, and finally obtaining the ultra-high performance concrete after the target parameters are optimized and the raw materials are preprocessed. And verifying the iterative model by using a high-throughput experiment, determining optimal process parameters, importing the optimal process parameters into a system, and executing stirring, forming and curing. The method has the following beneficial effects that high solid waste recycling and low-carbon emission reduction are achieved through digital intelligent regulation and control, high strength and high durability of materials are synchronously guaranteed, and the core application requirements of an assembly type structure are precisely met.

The invention discloses a high-performance concrete repairing material, application and a concrete structure repairing method, and belongs to the technical field of concrete structure repairing. The high-performance concrete repairing material is prepared from Portland cement, rapid hardening cement, an inert mineral admixture, an early strength agent, a submicron mineral admixture, a nano material, an anti-freezing binder, fibers, a retarder, a volume compensating agent, fine aggregate, coarse aggregate, a water reducing agent, a defoaming agent and water. Through the interaction of all the components, the functions of early strength, volume stability, freezing resistance, salt freezing resistance, fracture resistance, shrinkage resistance and the like are achieved, through the synergistic effect of all the components in the material, the overall performance of the material is improved, and the material has excellent adaptability and multifunctionality under different environmental conditions; therefore, long-term stable guarantee is provided for application in various damage scenes, and the proportion of each component of the material can be adjusted according to actual requirements of concrete structures so as to meet efficient repair in different damage scenes.

The invention discloses a mechanical property testing device for mixed directional fiber ultra-high performance concrete, which comprises a base, a power mechanism is arranged on the base, fixed rotating components are movably arranged on the left side and the right side of the power mechanism, and the power mechanism drives the fixed rotating components on the two sides to synchronously and reversely move; a supporting assembly is arranged in the middle of the top end of the base. A loading assembly is arranged above the supporting assembly. A test piece is loaded between the fixed rotating assemblies on the two sides, the supporting assembly is used for bearing the test piece, the form of a supporting surface can be changed according to test requirements, and the loading assembly is located on the upper side of the test piece so as to apply vertical pressure to the test piece; the device can acquire various test data such as compression resistance, tension resistance, torsion resistance and wear resistance in real time, can comprehensively reflect the mechanical properties of the mixed oriented fiber ultra-high performance concrete, provides an accurate and reliable test basis for engineering application and performance optimization of such materials, and solves the problems that the existing device has single test data and cannot meet the engineering practice requirements.

The invention discloses a performance detection method and system for ultra-high performance concrete, particularly relates to the technical field of building material performance detection, and aims to solve the problem of strength test discreteness caused by neglecting of an aging effect after high-temperature maintenance in an existing detection method. The method comprises the following steps: recording a first time point when a test piece is cooled at room temperature and a second time point when a press machine is loaded, and generating a comprehensive aging factor in combination with double quantitative analysis of a fiber pull-out fragment proportion and a crack fractal dimension in a damage process image; matching a strength correction coefficient from a preset table according to the aging factor, and dynamically calibrating a first compressive strength test result; accurate association between the aging damage mechanism and the macroscopic strength is achieved, and the reliability evaluation precision of the ultra-high performance concrete in major engineering is remarkably improved.

The invention belongs to the field of cement concrete, and particularly relates to an integrated cementing material special for ultra-high performance concrete and a preparation method of the integrated cementing material. The integrated cementing material comprises fly ash, slag powder, carbide slag, semi-hydrated gypsum, silica fume, a powder reinforcing agent, calcium nitrate and sodium silicate. The production process of the integrated cementing material comprises the following steps: winnowing ultrafine microbeads from fly ash, grinding solid waste powder by a fluidized bed type jet mill, chemically strengthening the powder reinforcing agent, chemically nucleating calcium nitrate and sodium silicate, and mixing the integrated cementing material. The ultra-high performance concrete cementing material is prepared from a high-activity solid waste material, the viscosity of a mixture is reduced by winnowing ultrafine micro-beads, the strength of the cementing material is improved by synergistic reaction of slag powder, carbide slag and semi-hydrated gypsum, and a C-S-H crystal nucleus is formed by chemical reaction of calcium nitrate and sodium silicate to provide active sites, so that the cementing material is prepared. And the cementing material is prepared by combining powder chemical dispersion and integrated mixing, so that the carbon emission and production difficulty of the ultra-high performance concrete are remarkably reduced.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention discloses a socket type connecting structure of a steel sleeve prefabricated pier column and a bearing platform and a construction method. The socket type connecting structure comprises the prefabricated bearing platform; a socket groove is formed in the prefabricated bearing platform, a corrugated steel pipe is fixedly arranged on the inner wall of the socket groove, an anchoring steel plate is embedded in the bottom of the socket groove, an embedded section of a steel sleeve is embedded in the prefabricated bearing platform and arranged on the top of the anchoring steel plate, and an anchoring ring plate is arranged on the upper portion of the steel sleeve and connected with the anchoring steel plate through a pre-stressed anchor rod. The embedded section of the prefabricated pier column is arranged in the steel sleeve, the portion, below the anchoring ring plate, of the steel sleeve and the interior of the socket groove are filled with the high-strength mortar, and the portion, above the anchoring ring plate, of the steel sleeve is filled with the ultra-high-performance concrete. Through the synergistic effect of the steel sleeves, the pre-stressed anchor rods, the high-strength mortar, the ultra-high performance concrete and the like, the problems of too large depth, poor anti-seismic performance and the like existing in traditional socket and spigot joint type connection are effectively solved, and the connection performance of the prefabricated bridge pier is remarkably improved.

The invention relates to the technical field of building materials, and particularly discloses ultra-high performance concrete containing coarse aggregate, a preparation method of the ultra-high performance concrete and a method for testing the abrasion resistance of the ultra-high performance concrete, the ultra-high performance concrete containing the coarse aggregate comprises cement, a mineral admixture, fine aggregate, steel fiber, the coarse aggregate, an additive and water, and the coarse aggregate is pretreated through cationic emulsified asphalt. The coarse aggregate ultra-high performance concrete is subjected to molding preparation, demolding maintenance, vacuum water saturation and other processes to obtain an original test piece for testing the abrasion resistance, two sub test pieces are obtained after radial cutting, and the mass of the test pieces before and after abrasion is weighed to obtain the abrasion resistance strength. According to the testing method, the abrasion resistance of the surface mortar layer and the abrasion resistance of the internal aggregate layer in the same test piece can be compared, and the abrasion resistance of the ultra-high performance concrete containing the coarse aggregate can be evaluated more comprehensively and objectively. The coarse-aggregate ultra-high-performance concrete has excellent mechanical properties, the abrasion resistance is enhanced, the use amount of a cementing material can be effectively reduced, and the production cost is reduced.

The invention belongs to the field of deep foundation pit intelligent supporting systems, and particularly relates to a deep foundation pit intelligent supporting system based on oblique beam grid and digital twinning and a collaborative construction method.The deep foundation pit intelligent supporting system based on oblique beam grid and digital twinning comprises an oblique beam grid supporting structure composed of two-way crossed steel oblique beams, and the outer layer of each steel oblique beam is a Q355B steel pipe with the thickness not smaller than 12 mm; the inclined beam is filled with ultra-high performance concrete with the compressive strength not smaller than 150 MPa, the inclination angle of the inclined beam ranges from 25 degrees to 60 degrees, and an MEMS micro-electro-mechanical system sensor is pre-buried at a node; and the digital twin platform integrates the geological BIM model and the LSTM neural network prediction model. The bending rigidity is improved through the oblique beam grid supporting structure and the concrete filled steel tube composite beam, the inclination angle ranges from 25 degrees to 60 degrees, force flow transmission is optimized, and micro-strain-level stress monitoring is achieved through the MEMS sensors embedded in the nodes. A digital twin platform and an LSTM model are fused with 12-dimensional parameters, the 72-hour deformation prediction error is smaller than or equal to 1.5 mm, and compared with a traditional experience algorithm, the precision is improved.