Abstract
In this work, we study the effect of the geometry representation in the context of the IsoGeometric-Analysis-based Boundary Element Method (IGABEM) and we propose an algorithm for the construction of a physics-informed geometric representation which leads to approximation results of high accuracy that are comparable to known adaptive refinement schemes. As a model problem, we use a previously studied 2D potential flow problem around a cylinder; see Politis et al. (Proceedings of SIAM/ACM joint conference on geometric and physical modeling, California, pp 349–354, 2009. https://doi.org/10.1145/1629255.1629302L). This study involves a systematic examination of a series of transformations and reparametrizations and their effect on the achieved accuracy and convergence rate of the numerical solution to the problem at hand. Subsequently, a new parametrization is proposed based on a coarse-level approximation of the field-quantity solution, coupling in this way the geometry representation to the physics of the problem. Finally, the performance of our approach is compared against an exact-solution-driven adaptive refinement scheme and a posteriori error estimates for adaptive IGABEM methods. The proposed methodology delivers results of similar quality to the adaptive approaches, but without the computational cost of error estimates evaluation at each refinement step.


















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Notes
Note that by flipping the direction of \(\textbf{n}\) we may substitute the two minus signs with pluses.
\(m=2\) may be also included, assuming control points at infinity are allowed.
Note that using higher-order representations of the circle would allow it.
Note that if the coarse approximation of the unknown field quantity is not adequate, a few steps of a uniform refinement process may be applied before following the procedure described above.
insert knots.
References
Politis CG, Ginnis AI, Kaklis PD, Belibassakis KA, Feuer C (2009) An Isogeometric BEM for exterior potential-flow problems in the plane. In: Proceedings of SIAM/ACM Joint Conference on Geometric and Physical Modeling, California, USA, pp 349–354. https://doi.org/10.1145/1629255.1629302L
Hughes T, Cottrell J, Bazilevs Y (2005) Isogeometric analysis: Cad, finite elements, nurbs, exact geometry and mesh refinement. Comput Methods Appl Mech Eng 194:4135–4195
Simpson RN, Bordas SPA, Trevelyan J, Rabczuk T (2012) A two-dimensional isogeometric boundary element method for elastostatic analysis. Comput Methods Appl Mech Eng 209–212:87–100
Scott MA, Simpson RN, Evans JA, Lipton S, Bordas SPA, Hughes TJR, Sederberg TW (2013) Isogeometric boundary element analysis using unstructured t-splines. Comput Methods Appl Mech Eng 254:197–221. https://doi.org/10.1016/j.cma.2012.11.001
Belibassakis KA, Gerosthathis TP, Kostas KV, Politis CG, Kaklis PD, Ginnis A-AI, Feurer C (2013) A bem-isogeometric method for the ship wave-resistance problem. Ocean Eng 60:53–67
Peake MJ, Trevelyan J, Coates G (2013) Extended isogeometric boundary element method (xibem) for two-dimensional helmholtz problems. Comput Methods Appl Mech Eng 259:93–102
Ginnis AI, Duvigneau R, Politis C, Kostas KV, Belibassakis K, Gerostathis T, Kaklis PD (2013) A multi-objective optimization environment for ship-hull design based on a bem-isogeometric solver. In: The Fifth Conference on Computational Methods in Marine Engineering (Marine 2013), Hamburg, Germany
Ginnis AI, Kostas KV, Politis CG, Kaklis PD, Belibassakis KA, Gerostathis TP, Scott MA, Hughes TJR (2014) Isogeometric boundary-element analysis for the wave-resistance problem using T-splines. Comput Methods Appl Mech Eng 279:425–439
Cottrell JA, Hughes TJR, Bazilevs Y (2009) Isogeometric analysis: toward integration of CAD and FEA. Wiley Publishing
Cottrell JA, Hughes TJR, Reali A (2007) Studies of refinement and continuity in isogeometric structural analysis. Comput Methods Appl Mech Eng 196:4160–4183
Evans JA, Bazilevs Y, Babuška I, Hughes TJR (2009) n-widths, sup-infs, and optimality ratios for the k-version of the isogeometric finite element method. Comput Methods Appl Mech Eng 198(21):1726–1741. https://doi.org/10.1016/j.cma.2009.01.021
Hughes TJR, Reali A, Sangalli G (2010) Efficient quadrature for nurbs-based isogeometric analysis. Comput Methods Appl Mech Eng 199(5):301–313. https://doi.org/10.1016/j.cma.2008.12.004
Cao W, Huang W, Russell RD (1999) An r-adaptive finite element method based upon moving mesh PDEs. J Comput Phys 149(2):221–244. https://doi.org/10.1006/jcph.1998.6151
Kuo Y, Cleghorn W (2007) The h-, p-, and r-refinements of finite element analysis of flexible slider crank mechanism. J Vib Control 13(4):415–435. https://doi.org/10.1177/1077546307076901
Xu G, Mourrain B, Duvigneau R, Galligo A (2011) Parameterization of computational domain in isogeometric analysis: methods and comparison. Comput Methods Appl Mech Eng 200(23):2021–2031. https://doi.org/10.1016/j.cma.2011.03.005
Wendland WL (1988) On asymptotic error estimates for combined BEM and FEM. In: Finite Element and Boundary Element Techniques from Mathematical and Engineering Point of View, Springer, pp 273–333
Carstensen C, Ernst SP (1996) Adaptive boundary element methods for some first kind integral equations. SIAM J Numer Anal 33(6):2166–83
Carstensen C (1997) An a posteriori error estimate for a first-kind integral equation. Math Comput 66(217):139–55
Sauter SA, Schwab C (2011) Boundary element methods. Boundary element methods. Springer, Berlin, pp 183–287
Buffa A, Gantner G, Giannelli C, Praetorius D, Vazquez Hernandez R (2021) Mathematical foundations of adaptive isogeometric analysis. Technical Report 10.5075/epfl-MATHICSE-287076, Ecublens, EPFL
Feischl M, Gantner G, Praetorius D (2015) Reliable and efficient a posteriori error estimation for adaptive iga boundary element methods for weakly-singular integral equations. Comput Methods Appl Mech Eng 290:362–386. https://doi.org/10.1016/j.cma.2015.03.013
Feischl M, Gantner G, Haberl A, Praetorius D (2016) Adaptive 2d iga boundary element methods. Eng Anal Boundary Elem 62:141–153
Gantner G, Haberlik D, Praetorius D (2017) Adaptive igafem with optimal convergence rates: Hierarchical b-splines. Math Models Methods Appl Sci 27(14):2631–2674
Gong YP, Dong C (2017) An isogeometric boundary element method using adaptive integral method for 3D potential problems. J Comput Appl Math 319:141–158
Falini A, Giannelli C, Kandǔ T, Sampoli ML, Sestini A (2019) An adaptive iga-bem with hierarchical b-splines based on quasi-interpolation quadrature schemes. Int J Numer Meth Eng 117(10):1038–1058
Gantner G, Praetorius D, Schimanko S (2022) Stable implementation of adaptive igabem in 2d in matlab. Comput Methods Appl Math 22(3):563–590
Forsey DR, Bartels RH (1988) Hierarchical b-spline refinement. In: Proceedings of the 15th Annual Conference on Computer Graphics and Interactive Techniques. SIGGRAPH ’88, Association for Computing Machinery, New York, pp 205–212. https://doi.org/10.1145/54852.378512
Giannelli C, Jüttler B, Speleers H (2012) Thb-splines: The truncated basis for hierarchical splines. Comput Aided Geom Des 29(7):485–498. https://doi.org/10.1016/j.cagd.2012.03.025
Bornemann PB, Cirak F (2013) A subdivision-based implementation of the hierarchical b-spline finite element method. Comput Methods Appl Mech Eng 253:584–598. https://doi.org/10.1016/j.cma.2012.06.023
Sederberg TW, Zheng J, Bakenov A, Nasri A (2003) T-splines and TNURCCs. ACM Trans Graph 22:477–484
Bazilevs Y, Calo VM, Cottrell JA, Evans JA, Hughes TJR, Lipton S, Scott MA, Sederberg TW (2010) Isogeometric analysis using T-splines. Comput Methods Appl Mech Eng 199(5–8):229–263
Dokken T, Lyche T, Pettersen KF (2013) Polynomial splines over locally refined box-partitions. Comput Aided Geom Des 30(3):331–356. https://doi.org/10.1016/j.cagd.2012.12.005
Johannessen KA, Kvamsdal T, Dokken T (2014) Isogeometric analysis using LR B-splines. Comput Methods Appl Mech Eng 269:471–514. https://doi.org/10.1016/j.cma.2013.09.014
Masters DA, Taylor NJ, Rendall TCS, Allen CB, Poole DJ (2017) Geometric comparison of aerofoil shape parameterization methods. AIAA J 55(5):1575–1589. https://doi.org/10.2514/1.J054943
Kostas KV, Amiralin A, Sagimbayev S, Massalov T, Kalel Y, Politis CG (2020) Parametric model for the reconstruction and representation of hydrofoils and airfoils. Ocean Eng 199:107020. https://doi.org/10.1016/j.oceaneng.2020.107020
Kostas KV, Ginnis AI, Politis CG, Kaklis PD (2017) Shape-optimization of 2D hydrofoils using an Isogeometric BEM solver. Comput Aided Des 82:79–87. https://doi.org/10.1016/j.cad.2016.07.002
Chouliaras SP, Kaklis PD, Kostas KV, Ginnis AI, Politis CG (2021) An isogeometric boundary element method for 3D lifting flows using T-splines. Comput Methods Appl Mech Eng 373:113556. https://doi.org/10.1016/j.cma.2020.113556
Kostas KV, Ginnis AI, Politis CG, Kaklis PD (2015) Ship-hull shape optimization with a t-spline based bem-isogeometric solver. Comput Methods Appl Mech Eng 284:611–622
Brebbia C, Telles J, Wrobel L (1984) Boundary element techniques. Springer
Katsikadelis JT (2016) Chapter three—the bem for potential problems in two dimensions. In: Katsikadelis JT (ed) The boundary element method for engineers and scientists (Second Edition), Academic Press, Oxford, pp 35–57
Kostas K, Valagiannopoulos C (2023) Optimally shaped nanotubes for field concentration. Research Square - preprints https://doi.org/10.21203/rs.3.rs-3509021/v1
Piegl L, Tiller W (1997) The Nurbs Book, 2nd Edition. Springer
Aimi A, Diligenti M, Sampoli ML, Sestini A (2016) Isogeometric analysis and symmetric Galerkin BEM: A 2D numerical study. Appl Math Comput 272:173–186. https://doi.org/10.1016/j.amc.2015.08.097
Barrera D, Bartoň M, Chiarella I, Remogna S (2022) On numerical solution of Fredholm and Hammerstein integral equations via Nyström method and Gaussian quadrature rules for splines. Appl Numer Math 174:71–88. https://doi.org/10.1016/j.apnum.2022.01.009
Esmaeili H, Mirzaee F, Moazami D (2021) A discrete collocation scheme to solve fredholm integral equations of the second kind in high dimensions using radial kernels. SeMA 78:93–117. https://doi.org/10.1007/s40324-020-00231-0
Allouch C, Sablonnière P, Sbibih D (2011) Solving fredholm integral equations by approximating kernels by spline quasi-interpolants. Numer Algorithms 56:437–453. https://doi.org/10.1007/s11075-010-9396-7
Dagnino C, Dallefrate A, Remogna S (2019) Spline quasi-interpolating projectors for the solution of nonlinear integral equations. J Comput Appl Math 354:360–372. https://doi.org/10.1016/j.cam.2018.06.054
Piegl L (1987) On the use of infinite control points in CAGD. Comput Aided Geom Des 4(1):155–166. https://doi.org/10.1016/0167-8396(87)90032-X
Qin K, Sun J, Wang X (1992) Representing conics using NURBS of degree two. Comput Graphics Forum 11:285–291. https://doi.org/10.1111/1467-8659.1150285
Milne-Thomson LM (1956) Theoretical hydrodynamics. Macmillan Company
Piegl LA, Tiller W, Rajab K (2014) It is time to drop the “R’’ from NURBS. Eng Comput 30:703–714. https://doi.org/10.1007/s00366-013-0318-x
Li W, Xu S, Zhao G, Goh LP (2005) Adaptive knot placement in B-spline curve approximation. CAD Comput Aided Des 37(8):791–797. https://doi.org/10.1016/j.cad.2004.09.008
Gantner G, Praetorius D, Schimanko S (2019) Adaptive isogeometric boundary element methods with local smoothness control. CoRR arxiv:abs/1903.01830
Funding
This work has received funding from Nazarbayev University, Kazakhstan under the Grant: “SOFFA - PHYS: Shape Optimization of Free-form Functional surfaces using isogeometric Analysis and Physics-Informed Surrogate Models”(Grant award Nr. 11022021FD2927).
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Kostas, K.V., Politis, C.G., Zhanabay, I. et al. A physics-informed parametrization and its impact on 2D IGABEM analysis. Engineering with Computers 40, 3663–3682 (2024). https://doi.org/10.1007/s00366-024-02037-4
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DOI: https://doi.org/10.1007/s00366-024-02037-4