Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.342
T. Sugimoto, H. Kuramae, M. Matsumoto, N. Watanabe
. Multi-regionally coupled analysis of thermal fluid flow and heat conduction of solid using OpenFOAM is carried out to clarify the behavior of hydrothermal oxidative destruction reactor of polychlorinated biphenyls (PCBs). Internal fluid of the reactor assumes a single-phase hot water without chemical reactions considering temperature dependence of thermophysical properties. Compressible Navier-Stokes equation with buoyancy force and energy equation with gravity term are alternately solved for the thermal fluid analysis. In order to consider conjugate heat transfer between the internal fluid and the reactor vessel, two-regionally coupled analysis of the fluid and vessel was executed by chtMultiRegionFoam in the OpenFOAM. To effect, were compared with thermal fluid analysis of the internal fluid or heat conduction analysis of the
{"title":"Thermal Fluid Coupled Analysis of Hydrothermal Destruction Reactor","authors":"T. Sugimoto, H. Kuramae, M. Matsumoto, N. Watanabe","doi":"10.23967/WCCM-ECCOMAS.2020.342","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.342","url":null,"abstract":". Multi-regionally coupled analysis of thermal fluid flow and heat conduction of solid using OpenFOAM is carried out to clarify the behavior of hydrothermal oxidative destruction reactor of polychlorinated biphenyls (PCBs). Internal fluid of the reactor assumes a single-phase hot water without chemical reactions considering temperature dependence of thermophysical properties. Compressible Navier-Stokes equation with buoyancy force and energy equation with gravity term are alternately solved for the thermal fluid analysis. In order to consider conjugate heat transfer between the internal fluid and the reactor vessel, two-regionally coupled analysis of the fluid and vessel was executed by chtMultiRegionFoam in the OpenFOAM. To effect, were compared with thermal fluid analysis of the internal fluid or heat conduction analysis of the","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129462492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.042
J. Ungermann, V. Adam, J. Hegger, M. Classen
. The intention of this contribution is the numerical description of the rarely investigated phenomenon of mixed mode fracture in plain concrete. Since cracks in concrete are typically subjected to both normal and shear displacements, a new material model called fictitious rough crack model (FRCM) is proposed which combines mode I fictitious crack models with aggregate interlock models. For modelling the mixed mode behavior as the result of coexisting cohesive concrete behavior and aggregate interlock stresses along concrete cracks, mode I behavior is considered as the main influence on crack formation at the crack tip and mode II behavior (aggregate interlock) is assumed to occur when translations are induced along the crack surfaces (slip). The combination of these tension-softening and shear-transfer laws and the resulting shear and normal stresses of both mechanisms in the crack characterizes the main idea of the model. Well-known experimental benchmark problems are solved both for validation of the proposed model as well as for comparison with renowned concrete models of commercial FE software. The analysis shows that the FRCM can simulate the transition from mode I fracture to mixed mode fracture in the structural response while the comparison with commercial numerical approaches demonstrates the lack of appropriate consideration of aggregate interlock and mixed mode behavior in commercial FE software.
{"title":"A Smeared Crack Modelling Approach for Aggregate Interlock and Mixed Mode Fracture of Concrete","authors":"J. Ungermann, V. Adam, J. Hegger, M. Classen","doi":"10.23967/WCCM-ECCOMAS.2020.042","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.042","url":null,"abstract":". The intention of this contribution is the numerical description of the rarely investigated phenomenon of mixed mode fracture in plain concrete. Since cracks in concrete are typically subjected to both normal and shear displacements, a new material model called fictitious rough crack model (FRCM) is proposed which combines mode I fictitious crack models with aggregate interlock models. For modelling the mixed mode behavior as the result of coexisting cohesive concrete behavior and aggregate interlock stresses along concrete cracks, mode I behavior is considered as the main influence on crack formation at the crack tip and mode II behavior (aggregate interlock) is assumed to occur when translations are induced along the crack surfaces (slip). The combination of these tension-softening and shear-transfer laws and the resulting shear and normal stresses of both mechanisms in the crack characterizes the main idea of the model. Well-known experimental benchmark problems are solved both for validation of the proposed model as well as for comparison with renowned concrete models of commercial FE software. The analysis shows that the FRCM can simulate the transition from mode I fracture to mixed mode fracture in the structural response while the comparison with commercial numerical approaches demonstrates the lack of appropriate consideration of aggregate interlock and mixed mode behavior in commercial FE software.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"352 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131460097","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.321
Chao Ren, Y. Aoues, D. Lemosse, E. S. Cursi
. In this paper, an approach is proposed to conduct reliability analysis on an offshore jacket considering corrosion degradation under extreme load cases. Corrosion degradation is considered as thickness wastage of the jacket element, which is seen as time-dependent variables. One probabilistic corrosion in literature is adopted by using different distribution models. Also, three different inspection cases (environmental conditions) of the corrosion are studied. The reliability assessment is evaluated by Crude Monte Carlo simulation based on the trained surrogate model. Deep neural networks are used to train the surrogate model, because they are not limited by the distribution and dimension of variables. The results show that using different corrosion distribution model, the probabilities of failure of the jacket are different, even though they have the same mean and standard deviation values. In addition, with same assumption of the distribution model in corrosion, the reliability of the jacket changes a lot concerning different inspection cases. Furthermore, it is noted that the inspection cases have more influences on the reliability analysis of jacket than different corrosion distribution assumptions. At the end, two recommendations are derived from this work.
{"title":"Structural Reliability Assessment of Offshore Wind Turbine Jacket Considering Corrosion Degradation","authors":"Chao Ren, Y. Aoues, D. Lemosse, E. S. Cursi","doi":"10.23967/WCCM-ECCOMAS.2020.321","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.321","url":null,"abstract":". In this paper, an approach is proposed to conduct reliability analysis on an offshore jacket considering corrosion degradation under extreme load cases. Corrosion degradation is considered as thickness wastage of the jacket element, which is seen as time-dependent variables. One probabilistic corrosion in literature is adopted by using different distribution models. Also, three different inspection cases (environmental conditions) of the corrosion are studied. The reliability assessment is evaluated by Crude Monte Carlo simulation based on the trained surrogate model. Deep neural networks are used to train the surrogate model, because they are not limited by the distribution and dimension of variables. The results show that using different corrosion distribution model, the probabilities of failure of the jacket are different, even though they have the same mean and standard deviation values. In addition, with same assumption of the distribution model in corrosion, the reliability of the jacket changes a lot concerning different inspection cases. Furthermore, it is noted that the inspection cases have more influences on the reliability analysis of jacket than different corrosion distribution assumptions. At the end, two recommendations are derived from this work.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134454445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.091
J. Vimmr, O. Bublík, V. Heidler
The aim of this study is a comparison of Lagrangian-Eulerian and Eulerian-Eulerian numerical approach for the simulation of fluid-particles interaction. Within the study the immersed particles are restricted to have spherical shapes and are equal or smaller than the resolution of the computational mesh. The interaction between fluid and particles is performed using the immersed boundary method and the free surface flow of an incompressible fluid is simulated using the lattice Boltzmann method. Both approaches are compared within two test problems. Firstly, the swarm of particles falling in the fluid, and secondly, casting of the fluid with dispersed particles into a mold. Both tests showed good qualitative and quantitative agreement of mentioned approaches.
{"title":"Comparison of Lagrangian-Eulerian and Eulerian-Eulerian Approaches for Particle Laden Free Surface Flow by Means of Lattice Boltzmann Method","authors":"J. Vimmr, O. Bublík, V. Heidler","doi":"10.23967/WCCM-ECCOMAS.2020.091","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.091","url":null,"abstract":"The aim of this study is a comparison of Lagrangian-Eulerian and Eulerian-Eulerian numerical approach for the simulation of fluid-particles interaction. Within the study the immersed particles are restricted to have spherical shapes and are equal or smaller than the resolution of the computational mesh. The interaction between fluid and particles is performed using the immersed boundary method and the free surface flow of an incompressible fluid is simulated using the lattice Boltzmann method. Both approaches are compared within two test problems. Firstly, the swarm of particles falling in the fluid, and secondly, casting of the fluid with dispersed particles into a mold. Both tests showed good qualitative and quantitative agreement of mentioned approaches.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132830911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.017
A. Kodakkal, R. Meethal, B. Obst, R. Wüchner
Sampling approaches for uncertainty quantification for real-world engineering problems are associated with large computational time and cost. This cost comes from the expensive deterministic simulation. Usage of surrogate models is a common way to overcome this issue in engineering applications. A conventional Neural Network (NN) can be used for building such surrogates. However, these neural networks are built based on input-output pairs. It is not possible to verify that the predicted output satisfies underlying physics. In this contribution, a physics-informed neural network based on a hybrid model of machine learning and classical Finite Element Method (FEM) is presented for forward propagation of uncertainty. The method uses FEM during both training and prediction stages. A surrogate model based on neural network for high dimensional problem is constructed by constraining the predictions of the neural network with the discretized partial differential equation of the system. During the training stage, the predicted solution from the FEM informed Neural Network(FEM-NN) is used to compute the residual using stiffness matrices and force vectors. This residual is used as a custom loss function from NN. This makes the whole training unsupervised as it does not require any output values. Hence, the need for expensive FEM solves is circumvented. The FEM-NN hybrid also gives an estimate of the accuracy of prediction by means of the calculated residual along with the prediction. The framework does not require mandatory expensive linear solves of the discretized equation instead substitutes the prediction from the neural network for computing the residual. This reduces the expensive training phase of the problem and can be applicable to real-world FEM simulations. The trained neural network is then sampled in a Monte Carlo (MC) manner to evaluate the statistics of the Quantities of Interest (QoI). The resulting FEM-NN hybrid is physics confirming and data-efficient. The efficacy of the framework is presented by a series of test case examples. The results are compared with classical MC results. The suitability of the method for the uncertainty quantification is studied and presented.
{"title":"A Finite Element Method - Informed Neural Network For Uncertainty Quantification","authors":"A. Kodakkal, R. Meethal, B. Obst, R. Wüchner","doi":"10.23967/WCCM-ECCOMAS.2020.017","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.017","url":null,"abstract":"Sampling approaches for uncertainty quantification for real-world engineering problems are associated with large computational time and cost. This cost comes from the expensive deterministic simulation. Usage of surrogate models is a common way to overcome this issue in engineering applications. A conventional Neural Network (NN) can be used for building such surrogates. However, these neural networks are built based on input-output pairs. It is not possible to verify that the predicted output satisfies underlying physics. In this contribution, a physics-informed neural network based on a hybrid model of machine learning and classical Finite Element Method (FEM) is presented for forward propagation of uncertainty. The method uses FEM during both training and prediction stages. A surrogate model based on neural network for high dimensional problem is constructed by constraining the predictions of the neural network with the discretized partial differential equation of the system. During the training stage, the predicted solution from the FEM informed Neural Network(FEM-NN) is used to compute the residual using stiffness matrices and force vectors. This residual is used as a custom loss function from NN. This makes the whole training unsupervised as it does not require any output values. Hence, the need for expensive FEM solves is circumvented. The FEM-NN hybrid also gives an estimate of the accuracy of prediction by means of the calculated residual along with the prediction. The framework does not require mandatory expensive linear solves of the discretized equation instead substitutes the prediction from the neural network for computing the residual. This reduces the expensive training phase of the problem and can be applicable to real-world FEM simulations. The trained neural network is then sampled in a Monte Carlo (MC) manner to evaluate the statistics of the Quantities of Interest (QoI). The resulting FEM-NN hybrid is physics confirming and data-efficient. The efficacy of the framework is presented by a series of test case examples. The results are compared with classical MC results. The suitability of the method for the uncertainty quantification is studied and presented.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131004291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.150
Barbora Vojáčková, J. Tippner, J. Dlouhá
{"title":"Force Distribution Along Tree Branch – Static Analysis","authors":"Barbora Vojáčková, J. Tippner, J. Dlouhá","doi":"10.23967/WCCM-ECCOMAS.2020.150","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.150","url":null,"abstract":"","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115373009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.168
J. Kou, S. Joshi, A. Hurtado-de-Mendoza, K. Puri, C. Hirsch, E. Ferrer
.
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{"title":"High-Order Flux Reconstruction Based on Immersed Boundary Method","authors":"J. Kou, S. Joshi, A. Hurtado-de-Mendoza, K. Puri, C. Hirsch, E. Ferrer","doi":"10.23967/WCCM-ECCOMAS.2020.168","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.168","url":null,"abstract":".","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130622010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.123
Feichi Zhang, T. Zirwes, T. Häber, H. Bockhorn, D. Trimis, R. Suntz
. This work presents a numerical study on the effect of flame-wall interaction (FWI) from the viewpoint of flame dynamics. For that purpose, direct numerical simulations (DNS) employing detailed calculations of reaction rates and transport coefficients have been applied to a 2D premixed methane/air flame under atmospheric condition. Free flame (FF) and side-wall quenching (SWQ) configurations are realized by defining one lateral boundary as either a symmetry plane for the FF or a cold wall with fixed temperature at 20 o C for the SWQ case. Different components of flame stretch and Markstein number regarding tangential, normal (due to curvature) and total stretch, Ka s , Ka c and Ka tot = Ka s + Ka c , as well as their correlations with respect to the local flame
.本文从火焰动力学的角度对火焰-壁面相互作用(FWI)的影响进行了数值研究。为此，采用详细计算反应速率和输运系数的直接数值模拟(DNS)应用于大气条件下的二维预混甲烷/空气火焰。自由火焰(FF)和侧壁淬火(SWQ)配置是通过定义一个侧面边界来实现的，对于FF来说，它是一个对称平面，对于SWQ来说，它是一个固定温度为20℃的冷壁。火焰拉伸的不同分量和Markstein数关于切向、法向(由于曲率)和总拉伸、Ka s、Ka c和Ka tot = Ka s + Ka c，以及它们与局部火焰的相关性
{"title":"DNS of Near Wall Dynamics of Premixed CH4/Air Flames","authors":"Feichi Zhang, T. Zirwes, T. Häber, H. Bockhorn, D. Trimis, R. Suntz","doi":"10.23967/WCCM-ECCOMAS.2020.123","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.123","url":null,"abstract":". This work presents a numerical study on the effect of flame-wall interaction (FWI) from the viewpoint of flame dynamics. For that purpose, direct numerical simulations (DNS) employing detailed calculations of reaction rates and transport coefficients have been applied to a 2D premixed methane/air flame under atmospheric condition. Free flame (FF) and side-wall quenching (SWQ) configurations are realized by defining one lateral boundary as either a symmetry plane for the FF or a cold wall with fixed temperature at 20 o C for the SWQ case. Different components of flame stretch and Markstein number regarding tangential, normal (due to curvature) and total stretch, Ka s , Ka c and Ka tot = Ka s + Ka c , as well as their correlations with respect to the local flame","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117297311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.209
J. Vankan, W. Lammen, E. Baalbergen
. Against the background of the big environmental and societal challenges as formulated for example in Flightpath 2050, current developments in aircraft design are aiming at further emission reduction through integrated, unconventional propulsion, systems and airframe innovations. This requires the further integration of methods for multidisciplinary modelling, analysis and optimization for aircraft design, but also for propulsion and system level designs. Moreover, experimental validation of the methods and physical testing of critical unconventional propulsion and system designs are prerequisites for industrially relevant development processes. This paper presents some key technologies for computationally efficient collaborative MDO (multidisciplinary design and optimization) frameworks for multidisciplinary design and validation of advanced aeronautic products like aircraft and propulsion systems.
{"title":"Multidisciplinary Modelling, Analysis and Optimisation for Aircraft and System Level Design and Validation","authors":"J. Vankan, W. Lammen, E. Baalbergen","doi":"10.23967/WCCM-ECCOMAS.2020.209","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.209","url":null,"abstract":". Against the background of the big environmental and societal challenges as formulated for example in Flightpath 2050, current developments in aircraft design are aiming at further emission reduction through integrated, unconventional propulsion, systems and airframe innovations. This requires the further integration of methods for multidisciplinary modelling, analysis and optimization for aircraft design, but also for propulsion and system level designs. Moreover, experimental validation of the methods and physical testing of critical unconventional propulsion and system designs are prerequisites for industrially relevant development processes. This paper presents some key technologies for computationally efficient collaborative MDO (multidisciplinary design and optimization) frameworks for multidisciplinary design and validation of advanced aeronautic products like aircraft and propulsion systems.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129727228","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-11DOI: 10.23967/WCCM-ECCOMAS.2020.322
Jiawen Guo, P. Betsch, Yue Zhang
. Structure-preserving algorithms exhibit superior long-run numerical stability in nonlinear solid and elasto-multibody dynamics. This paper provides time integrators for large flexible dynamic systems combining the carrier-sliding contact pair between two beams. The time integrators maintain some of the structural characteristics, which include the momentum, energy, symplecity et al. In research of the beam modeling, the director-based geometrically exact beam formulation has been compared with the three-dimensional absolute nodal coordinate beam formulation, which is also widely used in dynamic modeling of slender structures. The sliding contact transition between adjacent elements on the sliding line has been finely considered to keep the continuity of the sliding contact. The structure-preserving method has been embedded into the numerical solvers for dynamic analysis. The advantage of the structure-preserving methods over the time-decaying methods on energy and momentum preserving properties has been demonstrated in the dynamic analysis for the flexible beams that undergo sliding contact.
{"title":"Structure-Preserving Algorithms for Simple Sliding Contact Constraint in Director-Based Geometric Exact Beam","authors":"Jiawen Guo, P. Betsch, Yue Zhang","doi":"10.23967/WCCM-ECCOMAS.2020.322","DOIUrl":"https://doi.org/10.23967/WCCM-ECCOMAS.2020.322","url":null,"abstract":". Structure-preserving algorithms exhibit superior long-run numerical stability in nonlinear solid and elasto-multibody dynamics. This paper provides time integrators for large flexible dynamic systems combining the carrier-sliding contact pair between two beams. The time integrators maintain some of the structural characteristics, which include the momentum, energy, symplecity et al. In research of the beam modeling, the director-based geometrically exact beam formulation has been compared with the three-dimensional absolute nodal coordinate beam formulation, which is also widely used in dynamic modeling of slender structures. The sliding contact transition between adjacent elements on the sliding line has been finely considered to keep the continuity of the sliding contact. The structure-preserving method has been embedded into the numerical solvers for dynamic analysis. The advantage of the structure-preserving methods over the time-decaying methods on energy and momentum preserving properties has been demonstrated in the dynamic analysis for the flexible beams that undergo sliding contact.","PeriodicalId":148883,"journal":{"name":"14th WCCM-ECCOMAS Congress","volume":"275 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126841334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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