Penetration Model Research Articles

Coupled hydromechanical modelling of cone penetration in layered liquefiable soils

Soil layering modifies cone penetration measurements when the cone is close to layer boundaries. Transition zone and thin-layer effects appear, complicating interpretation. To help identify the mechanisms underlying transition and thin-layer effects, several series of realistic simulations of cone penetration in layered soils are presented. Cone penetration tests are simulated using fully coupled hydromechanical models solved with the particle finite-element method. A constitutive model capable of representing flow liquefaction is employed to explore the effect of embedded layers with different initial state parameter and/or hydraulic conductivity than the host soil. Sensing and development distances for tip resistance and excess pore pressure are examined, as well as the effect of layering on dissipation tests. It is shown how distortion of layer interfaces by the cone is captured, explaining several characteristics of pore pressure and dissipation records. It is also shown that looser soil states may be hidden in the tip resistance trace by simultaneous changes in soil hydraulic conductivity.

Oblique penetration of tungsten spheres against steel targets based on compressible and incompressible cavity expansion theory

In penetration problems, empirical formulas from different sources may easily lead to calculation conflicts. In the present work, based on the spherical cavity expansion theory of compressible and incompressible models, the resistance decay model and the kinematics analysis of projectiles, a 3-Danalytical model for the oblique penetration of tungsten spheres against low-carbon steel targets was built. The modeling method was described in detail. Subsequently, calculation results were compared with experimental data of tungsten spheres penetrating 100 mm thick Q235 steel targets and 8 mm thick Q345 steel targets to check computational performance of the established model. It is proved that resistance models can be used to calculate penetration problems after considering the resistance correction coefficient. The 3-D model is suitable for penetration problems of plastic cratering of targets.

A novel temporal mixed-integer market penetration model for cost-effective uptake of electric boilers in the UK chemical industry

The UK chemical industry is the largest consumer of natural gas for process heating and power generation, with an annual consumption of 26.3 TWh. Reduction in natural gas consumption and associated carbon emissions can be achieved through electrification of heat. However, the adoption of electric boilers is lethargic due to economic barriers. Hence, market-based policy interventions are required. This study aims to accelerate the adoption of electric boilers in the UK's chemical industry, aligning with the UK's ambitious 2035 industrial decarbonisation goals while considering economic impacts, by designing market-based policy interventions and comparing two adoption patterns. A novel multi-period Mixed-Integer Market Penetration Optimisation Model is developed and applied to inform decisions about transitioning from natural gas to electric boilers. The model is applied to a case study of all the heating systems (490 boilers) in the UK chemical industry from 1 MW to 60 MW boilers. Results show that effectively implementing a gas tax, electricity subsidy, annual grant and carbon tax can generate sufficient demand-pull to reduce the cost of electric boilers from 30 to 85 % depending on the boiler size. A carbon tax starting at £280 per tCO2e and reducing to £170 per tCO2e coupled with electricity subsidies is essential for this transition. The policies are designed such that a win-win is achieved between government and industry; specifically, revenue from the carbon tax and gas tax is used to support the grant and electricity subsidy thereby achieving cost neutrality for government. At 100 % uptake of electric boilers in 2033, the total carbon emissions reduce by 89 %, which is above the 2035 UK industry goal of 60 % reduction. The research establishes a robust policy timeline that can drive industrial electrification in the UK's chemical sector. It highlights the need for a multi-faceted approach, incorporating various policy instruments to overcome the barriers of high initial capital costs.

Quasi-Static Finite Cylindrical Cavity Expansion Model for Long-Rod Penetration into Cylindrical Metal Thick Targets with Finite Diameters

A quasi-static finite cavity cylindrical expansion model is proposed to investigate the lateral boundary effect during long-rod penetration. Analytical solutions for the cavity pressure in the elastic–plastic stage and plastic stage are obtained, through which a decay function for the lateral boundary effect is constructed. The resistance of the target with finite diameter RT is obtained by multiplying the decay function with the resistance of infinite target RT*. Then, a theoretical model for the penetration into the metal targets with finite diameters by long rods is proposed by substituting RT into the Alekseevskii–Tate model. The proposed model is verified by comparison with existing experimental results. Furthermore, the effect of the target diameter, initial impact velocity and yield criterion on the penetration depth and resistance are investigated. The results showed that the lateral boundary effect should be taken into account if the ratio of the target radius to the rod radius (rt0/RP) is less than 25.

Technology Focus: Drilling Automation and Innovation (February 2024)

In recent years, operators and service companies have optimized drilling activities and reduced operational costs by accelerating the deployment of digital solutions. Among other applications, predictive data analytics are commonly used to estimate rock properties, reduce operational uncertainty, improve equipment maintenance processes, and optimize scarce human resources on specific tasks. Not surprising, then, is the number of initiatives to maximize the value of data and new machine-learning models to understand complex operations and the different levels of drilling automation around the world. The selection of technical papers for this month highlights some interesting examples implemented in diverse geographies. Sustainability appears today as a key driver for innovation. The complex process of decarbonization of our industry can be accelerated with the potential larger-scale application of emerging solutions with proven tangible impact. For instance, rig and equipment automation are a reality, with the capacity to lower emissions in drilling operations and help obtain improved and more-consistent results. Papers SPE 216249 and IPTC 22975 illustrate examples of actual benefits in different projects. The task of collecting, processing, organizing, and making sense of drilling information from multiple sources with minimum time requirements remains an opportunity for improved decision-making in project management. Paper OTC 32978 describes one case with the use of artificial intelligence for automatic classification of daily drilling reports as an enabler for better planning and accurate risk analysis. Worth emphasizing is the importance of extended reality as a growing and promising alternative with untapped potential in well construction, mainly as a resource for active learning and a collaboration tool among multidisciplinary teams. Paper SPE 212532, included in the additional recommended reading, gives an interesting overview of current applications associated with drilling operations and challenges ahead. Recommended additional reading at OnePetro: www.onepetro.org. SPE 217113 Machine-Learning Techniques for Real-Time Prediction of Essential Rock Properties While Drilling by K.W. Amadi, Australian University, et al. SPE 212532 Extended Reality and Gamification for Drilling by Crispin Chatar, SLB, et al. SPE 213043 Ensemble Machine Learning for Data-Driven Predictive Analytics of Drilling Rate of Penetration Modeling: A Case Study in a Southern Iraqi Oil Field by Dhuha T. Al-Sahlanee, BP, et al.

TNF IS REQUIRED FOR SPONTANEOUS INNATE COLITIS IN MICE LACKING ADAPTIVE IMMUNITY

Abstract BACKGROUND Colitis involves excessive inflammation driven by the reciprocal interaction of innate and adaptive immune cells. To better understand how innate immunity contributes to colitis, we developed a spontaneous innate model of colitis that is highly penetrant, early onset, and driven by microbes. TNF is a cytokine produced predominantly by T cells but also by innate and non-immune cells and contributes to IBD in many patients. We therefore examined the role of TNF in innate immune mediated colitis. METHODOLOGY We developed a 100% penetrant mouse model of colitis by crossing villin transgenic expression of tnfaip3 (villin-tnfaip3) to rag1 null mice (rag1-/-), designated as TRAG mice (villin-tnfaip3 x rag1-/-). TRAG mice are characterized by inflammation of the colon in the absence of T and B cells. We crossed TRAG mice with tnfa-/- mice (tnfa-/- x TRAG) to elucidate the role of TNF in this model. The histopathological score of disease was evaluated by H&E, and the innate immune populations characterized by multi-color flow cytometry. Apoptosis, necrosis, and cell death were evaluated histologically by localizing cleaved caspase-3, phosho-MLKL and TUNEL positive cells. Secretion of cytokines from intestinal tissue in culture was quantified by ELISA. RESULTS TRAG mice develop early-onset colitis that is driven by microbes but is not transmissible to rag1-/- littermates. TRAG mice showed histological signs of colitis and a high infiltration of leukocytes in the intestinal mucosa without concurrent systemic inflammation. This colitis was not observed in tnfa-/- x TRAG mice. TRAG mice exhibited a pro-inflammatory cytokine signature with elevated secretion of IL1a and IL1b but not IL-18 or IL-33, which was not observed in mucosa from tnfa-/- x TRAG mice. LPLs from TRAG colons indicated TNF production by inflammatory monocytes, monocytes, and neutrophils. Monocytes and macrophages from the TRAG mouse mucosa, but not the tnfa-/- x TRAG mucosa, showed an M1 profile defined by elevated iNOS and decreased arginase. Increased crypt cell death was evident in TRAG colons, and this was significantly diminished in the crypts of tnfa-/- x TRAG colons. Early aggressive treatment of TRAG mice with anti-TNF antibody, but not anti-IL1a antibody, prevented colitis in TRAG mice. CONCLUSIONS TNF drives innate colitis featuring increased infiltration of mucosal leukocytes, increased secretion of IL1a and IL1b, skewing of macrophages to an M1 profile, and increased cell death in colonic crypts. Even in the absence of T cell derived cytokines, including TNF, innate sources of TNF are sufficient to drive colitis and early use of anti-TNF therapy is effective against this innate form of colitis. We are currently investigating the signals and forms of cell death that are driven by TNF in this model.

Effect on power quality of the high power electric traction (Double domain computer simulation vs. site measurements).

The paper shows the present results of a long term research work. The authors are working on the modelling of penetration of harmonics caused by the railways. In a former paper [1] a detailed model of the traction system was discussed in frequency domain. However this paper presents the combination of frequency and time dependent model. This novel method, called double domain method is used to improve the accuracy of the frequency domain simulation. To calculate the sophisticated model of the electric locomotive as a non-linear load a time dependent model must be used. The traction supply system together with the equivalent supply network impedance could be calculated in frequency domain. An iteration algorithm is developed to converting the variables in every iteration step between the time and frequency domain.

Penetration of particles through vertical cracks

In a previous study, a new deposition model was developed to account for deposition of aerosol particles on the inner walls of small containers. In this article, the model applicability is extended by including deposition on horizontal surfaces, both upward-facing and downward-facing. After that, the model is applied to study a vital new issue, which is the penetration of aerosols to the indoors through vertical wall cracks. Previous studies, both theoretically and experimentally, never addressed penetration through vertical cracks. This study therefore aims to show the difference between penetration through vertical cracks and horizontal ones by applying the fourth-power model, which is very successful in describing deposition in small volumes. The penetration model formulated in this study takes into account, not only the thickness and depth of the crack, as usually happens in most penetration models, but all the three dimensions of the crack; thickness, depth and width. The obtained results are in a good agreement with the experimental data. This demonstrates the success of the extended fourth-power model in describing deposition inside cracks. Moreover, the results show a clear difference between vertical and horizontal cracks for the penetration of aerosols with diameter larger than ∼1μm. An application of the developed deposition and penetration models is presented, where a method for calculating the radioactive aerosols indoor concentrations is explained.

Data acquired on some old reinforced concrete structures to validate the threshold levels of the French performance‐based method for the durability of concrete structures

AbstractThe objective of this paper is to present the methodology used to validate the threshold levels of durability indicators from data acquired from existing reinforced concrete structures that may present corrosion problems resulting from carbonation or chloride ingress. This study was conducted in the framework of the French National Project PERFDUB in close collaboration with the MODEVIE ANR project. Durability tests form the basis of a performance‐based approach for the durability of concrete structures, and in order to set the threshold level for each of these durability indicators, it is important to take into account the experience feedback that can be obtained from the actual behavior of existing structures. This paper presents the investigations carried out on eight reinforced concrete structures, all of them having an age well in excess of 50 years, and the main data gathered on some relevant durability and lifetime indicators. Based on all these data, predictive models of carbonation and chloride penetration are applied in order to validate the threshold levels to be adopted for the durability indicators, and several other conclusions are drawn.

Innovative niosomal in-situ gel: Elevating ocular drug delivery synergies

The eye is an intricate organ with multiple defense mechanisms and protective barriers. This organ is susceptible to infections, hereditary abnormalities, and vision impairments. Therefore, it is necessary to administer medicine to the eyes through the appropriate method. The conventional approach of ocular drug administration may be inefficient due to limited bioavailability. Targeted drug delivery systems based on nanocarriers can overcome some restrictions encountered due to the complex structure of the eye. In situ, gel-loaded niosomes may offer advantages in the field of ocular drug delivery. Niosomes, act as a promising carrier for hydrophobic and hydrophilic medicines, shielding them from fast clearance and degradation and allowing persistent release in ocular tissues. The inclusion of niosomes in the in-situ gels provides increased corneal retention, thereby ensuring enhanced medication penetration and prolonged contact time. Furthermore, niosomes are a potential choice for long-term therapy because of their ability to offer sustained drug release, lower dose frequency, and minimize systemic side effects. This article presents a detailed review of the current state of research on niosomes-loaded in-situ gel for ocular distribution, focusing on formulation techniques, characterization, toxicity, mechanisms of action, mechanisms of sol-gel transition, and prospective uses in a various ocular illness. In-depth reviews of the various corneal penetration and absorption models for the in-vitro, in-vivo, and ex-vivo research are also presented, along with a summary of the various patents and the commercial formulation of in-situ gels.

Analytical model of low-velocity impact penetration of sandwich panels with metal foam core and nanocomposite face sheets

This paper investigates the low-velocity penetration dynamic response of metal foam core sandwich panels with composite face sheets reinforced by nanoparticles. Based on the experimental results, an energy model is developed to predict contact force, impactor displacement, energy absorption, mechanisms of impact damage, and failure modes. An elastic–plastic–rigid (E–P–R) model is used to derive the energy absorbed by the metal foam. A stress function in terms of density ratio and strain is considered to predict the compression behavior of metal foam. The effect of nanoparticles investigated by the Halpin Tsai model. The analytical prediction is compared with the results of the experimental test and a reasonable agreement has been observed. The tested sandwich panel consisted of an aluminum foam core and an epoxy/carbon fiber face sheet reinforced with reduced graphene oxide (RGO). This model is useful for improving the design of sandwich panels with carbon fiber composite face sheet reinforced with nanoparticles and aluminum foam core. The results of impact test showed the addition of reduced oxide graphene increased the value of the first peak load by about 15%, the second peak load by about 36% and the amount of energy absorption in sandwich panel by about 18%. The radios of delamination and debonding reduced by 47% and 17.5%, respectively, compared to the sample without nanoparticles.

Optimization analysis of state equation and failure criterion for concrete slab subjected to impact loading

Concrete slabs are typically subjected to impact loading, and the selection of the equations of state and failure criteria has significant effects on the dynamic mechanical behavior of concrete. One of the most commonly adopted impact loading is projectile impact. In this study, the optimization analysis of the equation of state and failure criterion for rigid projectile penetration, which are often available for theoretical models, were analyzed using regression evaluation methods. Subsequently, based on the analysis results, a multi-phase model for the penetration of rigid projectiles into concrete was established which combined with the dynamic cavity expansion theory. Finally, the prediction results of the proposed model were compared with existing experimental data and prediction results of existing penetration models. The results showed that the prediction model has a wide range of applicability and high accuracy.

Iron chelation improves ineffective erythropoiesis and iron overload in myelodysplastic syndrome mice.

Myelodysplastic syndrome (MDS) is a heterogeneous group of bone marrow stem cell disorders characterized by ineffective hematopoiesis and cytopenias, most commonly anemia. Red cell transfusion therapy for anemia in MDS results in iron overload, correlating with reduced overall survival. Whether the treatment of iron overload benefits MDS patients remains controversial. We evaluate underlying iron-related pathophysiology and the effect of iron chelation using deferiprone on erythropoiesis in NUP98-HOXD13 transgenic mice, a highly penetrant well-established MDS mouse model. Our results characterize an iron overload phenotype with aberrant erythropoiesis in these mice which was reversed by deferiprone-treatment. Serum erythropoietin levels decreased while erythroblast erythropoietin receptor expression increased in deferiprone-treated MDS mice. We demonstrate, for the first time, normalized expression of the iron chaperones Pcbp1 and Ncoa4 and increased ferritin stores in late-stage erythroblasts from deferiprone-treated MDS mice, evidence of aberrant iron trafficking in MDS erythroblasts. Importantly, erythroblast ferritin is increased in response to deferiprone, correlating with decreased erythroblast ROS. Finally, we confirmed increased expression of genes involved in iron uptake, sensing, and trafficking in stem and progenitor cells from MDS patients. Taken together, our findings provide evidence that erythroblast-specific iron metabolism is a novel potential therapeutic target to reverse ineffective erythropoiesis in MDS.

ASSESSMENT AND CONTROL OF THE PENETRATION OF DRUGS INTO BIOLOGICAL TISSUES UNDER THE INFLUENCE OF A MAGNETIC FIELD

The processes of assessment and control of the penetration of drugs into biological tissues under the influence of a magnetic field are investigated and systematically analysed.The aim of the work is to improve the methods for assessing magnetic field penetration and to develop new automated systems for optimising the penetration of drugs into tissues. The paper presents a mathematical model for estimating the depth of penetration of drugs into the biological environment and experimental studies of the influence of magnetic field parameters on the depth of penetration of drugs into biological tissues, followed by an analysis of the results. The features of the mathematical model of drug penetration through the cell membrane are considered in detail, and factorssuch as physical properties of the membrane, magnetic field parameters, temperature changes, and ion concentration are taken into account.The proposed model allows to effectively take into account the interaction of various factors with the value of magnetic induction. The influence of diffusion processes on the regulation of metabolism in cellular systems is highlighted and their role in the penetration of drugs through the skin is considered. A model describing the penetration of drugs into biological tissues through the parameters of magnetic induction is presented. It is noted that the study of the penetration of drugs into biological tissues is important for pharmaceutical research and the development of new methods of drug delivery.The model presented in this paper can serve as a powerful tool for optimising the parameters of magnetic therapy systems and improving the effectiveness of treatment. A methodology for studying the penetration of drugs and conducting experiments to assess and measure the depth of penetration is presented. The obtained research results can be used to further improve magnetic therapy methods and develop new treatment strategies.

Analytical modeling and analysis of the low-velocity penetration and non-penetration behaviors of fiber-reinforced composite cylindrical shells based on critical impact velocity criterion

An analytical model is developed to predict the impact characteristic parameters of composite cylindrical shells when low-velocity penetration and non-penetration damage are considered. The critical impact velocity criterion for judging the penetrating failure of such structures is also proposed. The impact contact force, displacement, and load-displacement curve of the structure subjected to oblique non-penetrating impact loading are solved using the improved Hertz contact theory, cumulative damage theory, stiffness degradation method, etc. Based on the formula derivation of critical impact velocity, the key impact parameters are solved, such as the residual velocity of the projectile and damage area of the structure with penetrating impact, which takes into account three energy absorption mechanisms, such as delamination, laminating crushing and linear momentum transfer. A series of non-penetrating and penetrating impact tests are conducted using a low-velocity drop hammer rig and a light gas gun. The prediction results of the proposed model are compared to both experimental and literature results. One can find out that the largest prediction errors of the peaks of impact contact force and displacement deformation are 12.3 and 9.2 %, respectively, and the counterparts of residual velocity and damage area are 12.0 and 6.2 %, respectively. Hence, the present model is trustworthy for predicting these impact parameters. Moreover, it is advised to adopt an appropriate stacking sequence, a high ratio of structural thickness to radius, a large oblique impact angle of the projectile, and a small mass ratio of the projectile to such a structure to enhance its impact resistance or reduce impact response. In addition, it is worth noting that the current model probably has a big prediction error of the high-velocity impact behaviors involving the material heating and soft effects caused by penetration damage since high strain rate and temperature effects are not considered.

Human vulnerability assessment based on bullet motion and cavity expansion model with tissue identification

In human vulnerability assessment, the wound characteristics are derived from a single soft media penetration experiment, and there is a lack of mathematical model or algorithm to accurately describe the bullet motion (consider bullet rolling) and temporary cavity variation during bullet penetration into different soft media. This paper derives a bullet motion and cavity expansion-contraction model for bullet penetration into soft tissue; Established a dynamic wound reconstruction model based on neural networks that considers tissue differences. Assessment of damage to tissues using the Abbreviated Injury Scale; Developed software for assessing human vulnerability based on dynamic wound reconstruction. Research results show that the bullet motion model and the cavity expansion-contraction model can predict the characteristic volume of the wound and the temporary cavity profile changes during bullet penetration more accurately; the maximum temporary cavity diameters of the muscle wound, the cardiac wound, and the muscle-cardiac-muscle coupling wound are 183.6, 158.06, and 174.74 mm respectively, and using the cavity in a single target as the basis for human injury assessment will introduce errors. The process of bullet penetration into soft tissue can be accurately described based on a predictive model that considers tissue differences. This paper provides the model that improves the accuracy of human injury assessment compared to existing penetration models.

Studies of oil product pollution in the aeration zone by mathematical modelling

Formulation of the problem. The article presents the results of a study to assess the pollution of the aeration zone due to the leakage of oil products as a result of the destruction of the «Amik» oil depot during the military operations in the town of Borodyanka. The destruction of the tanks resulted in an immediate leakage of light oil products onto the soil of the surrounding area. The result was a technogenic environmental situation that required immediate determination of the mechanisms of accidental penetration of pollutants into the soil and groundwater, determination of the area of contamination and scientifically sound methods of soil remediation of oil products. The article highlights the issues of organising mathematical modeling of various data for solving applied problems using Google Earth data. Materials and methods. In order to assess the contamination area and determine the mechanism of accidental penetration of oil products into the soil and groundwater, the existing models of pollutant penetration in case of accidental oil spill were analysed and mathematical spatial models of geomorphological, hydrogeological, engineering-geological and experimental filtration data were created using interpolation, mathematical approximation and gradient analysis. The latter made it possible to identify the directions of surface and groundwater flow both in the local area of the oil depot and in adjacent areas. Using the investigation and filtration parameters obtained during the field work, hydraulic gradients and soil filtration coefficients were calculated, and a spatial mathematical model of the local subterranean gradient of groundwater flow was created. Results. It was shown that the direction of the underground flow is controlled by a zone of local depression, which is expressed by a decrease in the absolute height of the natural lithological layer with a height difference of about 0.4 m or the maximum values of the height of the contamination lens. The direction of extension of this zone has been determined to be from north to south. This zone can be considered the zone of maximum accumulation of liquid with oil products. Based on the survey results, the thickness of the contamination lens was calculated to be 0.3 m on average. Using this indicator, the area of contamination is 4169 m2, the volume of contamination is 1250.7 m3, which corresponds to the claimed damage. However, taking into account the anisotropy of the filtration properties of the lithological types in different directions within the aeration zone, the presence of dissolved water due to dispersion and the presence of local accumulation depressions in the lithological strata, options with other indicators (0.5 m / 0.1 m) are also acceptable. The calculation of the contamination areas was carried out taking into account the power variations. The approximate total areas of oil product distribution in the aeration zone were plotted with reference to Google Earth imagery. Conclusions. The research enabled practical recommendations to be made for cleaning up the area of oil products and preventing the spread of the pollutant by pumping oil products out of the modelled and actually confirmed pollution lens. In accordance with the recommendations, 140 wells were drilled to a depth of 5.2 m, with a diameter of 0.11‑0.168 m and a total length of 710 m, which made it possible to prevent the spread of the contaminant by pumping out the oil products and reusing them after clean-up.

Oblique Penetration of Spherical Projectile into Low-Carbon Steel Target: Experiment, Theory, 3D Penetration Model

Oblique Penetration of Spherical Projectile into Low-Carbon Steel Target: Experiment, Theory, 3D Penetration Model

Thermoelastic impact modeling for projectile–target–muzzle components during penetration start of motion

This paper presents the thermoelastic shock wave model components of projectile, target, and muzzle tube during the initial start of penetration. The penetration model is combined using pressure and temperature (e.g., mechanical and thermal shock) that act separately at the moment of penetration (a few microseconds) into a homogeneous or first-layer armor body. The armor’s shape and material will be investigated based on contact principal stress. The reciprocal influence between the penetrator and the armor in the aspect of the projectile nose shape will also be demonstrated. Moreover, the penetrator thermoelastic material’s durability will be examined, based on von Mises criterion. The examination for the initial elastic contact stress impact will be performed by using the explicit solution to temperature-displacement coupling equilibrium, based on commercial finite elements modeling. In addition, a modified impact contact stress model based on both mechanical and thermal energies was proposed and found to agree with the literature. Brief conceptual analysis of projectile–shield interactions was examined. Finally, shooting tube muzzle thermoelastic analysis was performed alongside a literature comparison, which was found to agree qualitatively and quantitatively. Muzzle tube material impact analysis was performed. Finally, it was concluded that muzzle tubes obey the rule that a shorter cylinder length tube develops higher muzzle tube principal stresses.

Mechanical model and numerical simulation of oblique penetration of projectile into foamed aluminum laminated target

To accurately predict the trajectory and attitude of the projectile obliquely penetrating the laminated aluminum foam target, the penetration resistance function which conclude normal stress, shear stress and friction is established in this paper. Then, we establish the differential equation of the projectile motion combined with the momentum theorem and the momentum moment theorem. Finally, we use finite element software Ansys/Ls-Dyna to simulate the oblique penetration, and the attitude deflection under different initial velocity or different initial attitude angle is emphatically analyzed. The results show that there is a peak of attitude deflection at the beginning of oblique penetration, and the peak is little correlated with initial velocity, but is positively correlated with initial attitude angle. The projectile will deflect three times during oblique penetration, and the variation is “increase-decrease-increase”. When the projectile finally through the target, the value of attitude deflection is negatively correlated with initial velocity and positively correlated with initial attitude angle.