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Structural Models based on Minimal Surfaces and Geodesics

González Quintial, Francisco; Martín Pastor, Andrés

Abstract

This article presents the results of research carried out with respect to the geometric, formal and structural adaptation of minimal surfaces. These surfaces were discretized into strips developable on geodesic curves, and then used for the construction of timber gridshells. For this project, both physical and virtual models derived from the same geometric models were used. The objective was to demonstrate the validity of the use of models and the transformation that modelling is undergoing due to the use of digital tools, both software and hardware. These include, on the one hand, drawing and analysis software and, on the other, digitally controlled fabrication tools. This research focuses specifically on the design and construction of the Scherk Pavilion, a space where the results of various experiments in which the common factor was the use of models was transferred to a real scale.

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AUTHOR’S ACCEPTED MANUSCRIPT González-Quintial, Francisco, Martín-Pastor, Andrés. (2021). Structural models based on minimal surfaces and geodesics. Nexus Network Journal. 23, no.4 (2021). pp.977-993. https://doi.org/10.1007/s00004-021-00559-8 Structural Models based on Minimal Surfaces and Geodesics Francisco González-Quintial. ETSA, Dpto. Arquitectura, Univ. del País Vasco. Email: francisco.gon[email protected] Andrés Martín-Pastor. (ETSIE, Dpto. Ingeniería Gráfica, Universidad de Sevilla) Abstract This article presents the results of research carried out with respect to the geometric, formal and structural adaptation of minimal surfaces. These surfaces were discretized into strips developable on geodesic curves, and then used for the construction of timber gridshells. For this project, both physical and virtual models derived from the same geometric models were used. The objective was to demonstrate the validity of the use of models and the transformation that modelling is undergoing due to the use of digital tools, both software and hardware. These include, on the one hand, drawing and analysis software and, on the other, digitally controlled fabrication tools. This research focuses specifically on the design and construction of the Scherk Pavilion, a space where the results of various experiments in which the common factor was the use of models was transferred to a real scale. Introduction In the era prior to architectural graphic representation as defined in the Renaissance, the function of models during design processes was ambiguous. It served as both as a test bed where a master builder, still “not an architect” in the Renaissance sense, simulated the physical behavior of their proposals. This included how they worked (Hauck et al. 2017) Due to the large scale of models, these were often visitable, and used as a kind of showroom (Garber 2009), where a potential patron could “tour” a project in a similar way to that in which a tour through an architectural space using immersive virtual reality is carried out today. The use of models was the instrument of global design prior to the use of floorplans (Fig. 1) and it defined the architectural element, as defined by Alberti, who formulated the bases of graphic architecture and of the “architect” as a designer rather than as a builder of architecture (Gentil 1998). Fig. 1 Filippo Brunelleschi (kneeling) and Lorenzo Ghiberti show Cosimo de’ Medici, counselled by Donatello and Michelozzo di Bartolomeo Michelozzi, a model of the Basilica di San Lorenzo, which is under construction in the background in 1429. Ceiling painting by Italian Mannerist painters Giorgio Vasari and Marco Marchetti da Faenza (1556-1558) in the Room of Cosimo the Elder in the Apartments of Pope Leo X in the Palazzo Vecchio in Florence. The painting was done after the event which it depicts and also after a shift from modeled to drawn architecture occurred. In the painting references to both types of architectural representation can be identified, although the model for representative purposes prevails Of course, the field of application for models to represent the properties of real objects is limited. Leonardo proposed the study of the stress-strain relationships in bending, using models that he later collated graphically (Codex Matritensis, Tomo I, p. 137. National Library of Spain. Madrid. Bent Beam Models. http://leonardo.bne.es/index.html). As pointed out by Jacques Heyman, Galileo formulated the square-cube law that demonstrated the limitations of the use of models: Other examples follow, all effectively demonstrating the square/cube law, culminating in Salviati´s general statement about the impossibility of building enormous ships, palaces and temples ‒ ‘nor could nature make trees of immeasurable size, because their branches would eventually fail of their own weight’ (Heyman 1998: 9). Bill Addis added that certain elements are scalable while others are not: The earliest mention of the non-linearity of scaling was by Galileo who noted (in what we now call the square:cube law) that while area increases with the square of the scale factor, the volume and hence the mass, increases as the cube of the scale. He used this observation to explain that the limited strength of bone material means the size of animals cannot be scaled up indefinitely (Addis 2013: 13). Although we scale dimensions logically, structural function, in particular, exhibits a clear lack of linearity with changes of scale. A scale model can reproduce the behavior of a full sized object, to a greater or lesser extent, depending primarily on this object’s structural behavior. That is, structural elements that depend on shape, such as arches and vaults, are almost perfectly scalable (Huerta 2004). Conversely, those elements that work mainly by section, such as beams, which, in other words, are subject mainly to bending stresses, do not offer the same degree of reliability when we analyze their behavior on different scales, although, as Hossdorf (1974) states, they do maintain a mechanical similarity. Unlike traditional uses, models as we understand them today incorporate virtual space as a means of defining modelling itself from the most global point of view possible. We speak of virtual space and not of digital models, because we understand that digital codification existed prior to the appearance of computer instruments (Carpo 2011). Broadly speaking, we refer to virtual space closely connected to the different ways of representation, mainly in a graphic sense, of the models realised by using software tools, included any kind of numerical simulation, establishing a neat differentiation from the digital codification, despite the fact that it was digital as well. The true revolution caused by virtual digital space is the possibility of producing a large number of models, or derivations of models, in a very short period of time. In the words of Mario Carpo: In this process of heuristic (not mathematical) optimization, every simulated model that was tried and discarded corresponded to a physical model that a traditional artisan would have made, tested, and likely broken in real life. Using digital simulations of structural performance, however, today we can make and break on the screen in a few hours more full-size trials than a traditional craftsman would have made and broken in a lifetime (Carpo 2017: 40). The extensive contemporary use of computers and digital virtual processes does not, however, completely overshadow another of the most powerful tools currently available for the management of models, that is, digital fabrication. Through computer-controlled digital tools we can return directly to physical models, completing design and manufacturing process through a return to pre-Renaissance, pre-Albertian architectural space, in which models reproduce a complex reality around architectural processes of design. This combination of digital software and hardware tools has thus meant both a synthesis and a true revolution in the classical concept of the model, allowing almost the same ease when handling both virtual and physical models and producing multiple approximations and variations of the same element. In what follows, we present the different geometrical concepts, the development of the previous models, physical and numerical, and the progress of the final model of the pavilion that supported the research, which focused on the adaptation of the use of minimal surfaces discretized by using developable geodesic strips in order to construct timber gridshells. Geometric Concepts Minimal Surfaces The first concept addressed in the research is that of minimal surfaces as structurally efficient forms. The concept, nuances and the use of minimal surfaces in architecture as “new forms” has many approaches (Emmer 1996). As a brief introduction, in Meusnier’s formulation, minimal surfaces are those in which the mean curvature has vanished from a geometric point of view, which means that the curvature has the same value and opposite sign at each point. Physically, minimal surfaces are generated, in response to Plateau’s problem (Pottman 2010), through a surface that covers, with the least possible extension, the space delimited by a rigid border that follows a closed curve without selfintersections. Surfaces produced through this approach do so as a sheet in which stresses are almost constant along the directions of curvature, and which, in the case of soap films, behave purely in traction. When we modify the boundary conditions, the edges are not sufficiently rigid, or we use a sheet with a degree of stiffness that is capable of absorbing stresses along the normal direction to the surface (i.e., a surface able to resist bending on its surface), purely tractional behavior disappears. Distortions appear as a result of bending in the surface itself and disturbances on free edges. These considerations have not excluded the use of this type of surface as a source of structural and architectural inspiration, as can be seen in the work of Frei Otto (Otto et al. 1998) and Sergio Musmeci (Marmo et al. 2019) among others. These architects made frequent use of models based on extensible surfaces as a principle for generating prototypes and the development of their ideas. With the exception of the sphere, minimal surfaces are hyperbolic, anticlastic or negative curvature surfaces. While a sphere is a “minimal surface” in the sense that it minimizes the surface’s area-to-volume ratio, it does not qualify as a minimal surface in the sense used by mathematicians. Hyperbolic shapes can be considered efficient from a structural point of view. We draw attention to the concrete shells by Félix Candela as an example of this type of structurally efficient form built in concrete (Faber 1963), particularly the hypars, ‒ hyperbolic paraboloid sections ‒ which, from a geometric point of view, have a great formal similarity with the minimal surfaces inside the edge of a warped quadrilateral. The KnitCandela pavilion (Fig.2), is an evolution inspired by Candela’s shells. It also uses minimal surfaces, though in this case as the basis of a textile formwork. It is on display as part of the first exhibition by Zaha Hadid Architects in Latin America, at the University Museum of Contemporary Art (MUAC) in Mexico City. In this example, it is interesting to observe the difference in the structural behavior of the fabric that makes up the permanent formwork of the surface, and that of the final concrete sheet. Fig. 2 KnitCandela pavilion. Philip Block Research Group and Zaha Hadid Architects at the MUAC in Mexico City. Images: authors Developable strips on geodesic curves A second geometric concept that we used was the discretization of double curvature surfaces through the use of rectifying strips along geodesic curves on the surface. This turns out to be a very interesting procedure due to its high degree of efficiency with respect to the optimization of material. A geometric approach is based on two interconnected ideas: on the one hand, the properties of a geodetic curve G on a surface S1; on the other hand, in the concept of the rectifying surface of a curve C. As is well understood, the geodesic (G) is the “shortest path between two points (A) and (B) measured on the surface (S1)”. On the other hand, the rectifying surface R of a curve C is “the developable surface that passes through a curve (C) which has the property of transforming that curve into a straight line (C′) once the surface (R′) is deployed on a plane” (Izquierdo-Asensi 1985: 294). Any curve drawn in this space allows a rectifying surface. We apply the concept of rectifying to the geodesic curve G drawn on a surface S1. In this way, the resultant curve is geodesic for both the surface S1 and the rectifying surface R, and likewise for the rectifying surface developed on the plane R′. Thus, geodesic curves become the structure or guidelines for strips formed by rectifying surfaces. These R rectifying strips have two fundamental properties. They are strips circumscribed to the surface S1 on which the geodesic curve G is drawn, and they can be developed on the plane in the form of straight strips R′. For manufacturing purposes, the straightness of the resultant strips facilitates construction based on rectangular elements that are straight and made of any material that can be bent in one direction. Keeping flat panels in mind as a common industrial construction material, use can be made of these with virtually no waste. Straight rectifying strips can be bent without any stretching of the fibers and, therefore, without being subjected to any kind of twist. That is to say, theoretically, these strips suffer only minimal structural torsion. For this reason, they are suitable for use as structural elements with relativity thin cross sections, or their transverse dimension relative to their longitudinal dimension. This property is limited to a specific field of application. This implies that it is not always possible to find a suitable rectifying strip, from the point of view of fabrication, for every surface or even for any geodesic curve on a specific surface. Furthermore, the width of strips is limited when we take into account a mixed deformation model including twist and bend. As a strip on a geodesic becomes wider, the elongation of fibers furthest from the axis becomes excessive. At this elongation limit, a strip tends to flex and not twist naturally, which could explain the appearance of the same geometric conditioning factors mentioned above in strictly rectifying strips. When a geodesic curve contains an inflection point, a change in curvature occurs. This results in a curve closer to the edge of regression of the rectifying surface that rests on it. This makes the developable surface constructively invalid, since it is not possible to extract a regular planar strip from its development. The use of a circumscribed developable surface on a geodesic is not possible on certain types of surface at certain points of their geodesic. The models that we present here combine both geometric ideas, minimal surfaces and developable geodesic strips, in order to explore the stiffness and construction possibilities of reticular structures, also known as gridshells, made of wooden strips. This type of lightweight structure involves the discretization of surfaces through networks of curves along which several interconnected layers of lattices are supported. These generate lightweight, very stiff and aesthetically appealing constructions. The Manheim Multihalle by Frei Otto (Adriaenssens et al. 2014) is the pioneering example and served as inspiration for later examples, including the ribbed shells by Julius Natterer (Herzog et al. 2004) and the projects carried out by the IBOIS laboratory (Weinand 2017), as well as the Triaxial Gridshell made of eucalyptus constructed by PEMADE ‒ Platform of Structural Timber Engineering (University of Santiago de Compostela) (Lara-Bocanegra et al. 2019), among other notable examples. Almost all of these, to a greater or lesser extent, use geodesic systems for surfaces and take advantage of the minimum torsion of curves to spatially arrange the lattices that compose them. Most of them also take elliptical or positive curvature surfaces as a starting point. However, no examples have been found of the use of minimal surfaces as the base geometry for this type of project. Preparatory Modelling As indicated, one of the concepts tested was the suitability of minimal surfaces for use as structural forms for the construction of timber gridshells. The starting point was, therefore, to obtain shapes that follow the morphology of surfaces of this nature, while also taking into account the deviation of constructed surfaces from purely mathematical models due to their physical behavior. In this phase, an initial approach to the modelling of surfaces was carried out though classic soap bubble models, using soapy water and glycerin (Fig. 3). These generate minimal physical surfaces when rigid edges are imposed as surface boundaries. This process, despite being extremely simple and representing a basic concept, has been of great interest as a source of inspiration in work on tensile surfaces in general, through the study of minimal surfaces. Of course, physical reality is different from geometric reality. As Frei Otto points out, “surface structures in the form of geometrically exact minimal surfaces cannot be realized in practice except with soap membranes, or else in a more or less approximate form” (Otto et al. 1998: 246). Fig. 3 Minimal surface physical models obtained using a bent wire without self-intersections, which acts as a rigid edge. Generation of the Scherk surface on the right. Images: authors A physical model obtained using soap membranes is easily transferred into digital space. Using an algorithm generated in Kangaroo (https://www.food4rhino.com/app/kangaroophysics) a plug-in for Grasshopper (https://www.grasshopper3d.com/) (Fig.4), a representation of a tensile form is easily obtained by defining appropriate boundary conditions. In this phase, representations of a physical model can be much more accurate and precise, although at this point the design is in a purely mockup phase. Fig. 4 By using Kangaroo, two families of curves are defined which act as cables with different stiffnesses, which facilitates the generation of a series of surfaces derived from the original geometric model based on the Scherk minimal surface. Images: authors From digital models, digitally fabricable files of the ideal shapes selected and modeled in Kangaroo were produced. These relatively small objects, produced using a 3D printer and replicated multiple times (Fig. 5), were used for both an intermediate study of a formal approach to design and for testing and explaining the concept of the geodetic curve. In this case, rubber bands were used to simulate the concept of geodesics. Due to their physical properties, elastic bands tend to adapt to a surface following the shortest possible path, that is, taking on the minimum possible tension. Due to this property, they serve to approximate the formal pattern of discretization of a surface by means of geodesic strips (Fig. 6). Fig. 5 3D printed physical models. The use of models as a design element and for compositional organization. Images: authors Fig. 6 Use of elastic bands on physical models as an aid to explain the behavior of geodesic curves and organization of a discrete mesh on a surface. Images: authors Fig. 11 Detail of the double-layered shell of the pavilion. The continuity of the strips is solved by overlapping, taking into account the continuity of the geometric curvature of them. Images: authors The result, as mentioned above, was a more rigid shell model, subject to different deformations due to the increase in weight of the structure itself and the absence of a rigid edge that would have constrained the form and reduced the deformation of the strips. It is important to recognize that the pavilion cannot be understood as a utilitarian construction, and from this point of view it is still just a model on a larger scale. It is a closer, more detailed approach to real construction through which to expand the workspace and experience the same ideas on a different scale. In this sense, the proliferation of this type of construction, mainly due to wider access to digital fabrication tools, must still be understood as an expansion of the scope of the use of models. Conclusion Models were one of the earliest means used to aid the design and development of architecture. Despite this, far from losing their relevance, their use has been enhanced through the incorporation of digital systems in processes of optimization, development and verification of architectural projects. The results of the research process set out above illustrate the possibilities of structuring a system based on experimentation with the help of the physical and digital models. In a continuous process of return, there is a continual movement between scales and also between physical and virtual spaces in a process of both formal and structural optimization. The model turns out to be today, as it was in another time, something much more complex and complete than the traditional architectural mockup. Models have maintained and even extended their relevance thanks to the emergence of different systems and tools, mainly digital, rather than to a change in the way models are used. The greatest revolution in this sense is of a quantitative nature. Together in a single digital file we have access to a repository of a large amount of information of multiple types. From graphic, geometric and representative elements, in addition to being a workbench where to test different aspects related to physical behavior, digital models facilitate the materialization of variations of a model in different formats and scales, thanks to digital manufacturing tools. As to physical models, we can affirm that they turn out to be a key instrument in Researchby-Design processes in architecture (Lawson 2015) In both physical and virtual spaces, they are a direct way of doing research and acquiring knowledge, especially in preparatory and exploratory phases. Access to digital tools for the exploration of searching processes for shapes based on geometric foundations facilitates the elaboration of multiple models at different levels of precision and the verification of these primarily from the point of view of constructive suitability and geometric verification. This results in a high degree of accuracy. Numerical models are a very powerful tools and we can recognize that they are capable of reproducing intrinsic properties of materials in a much more efficient way. This overcomes problems of physical models, specifically in terms of a lack of scalability for certain structural behaviors. However, we have verified that these models are not able to correctly reproduce geometries with a high degree of complexity, as is the case at hand. Therefore, it is necessary to validate numerical models by checking the data extracted from these through physical models. A next step would be the verification of numerical results and a comparison of these results with those derived from physical models at different scales. The objective would be to characterize a pattern of mechanical behavior validating the results of numerical models. One aspect that needs to be considered for future development is the synchronization of physical and numerical models. The first step has already been carried out, in the verification of the validity of numerical models in relation to physical models by photogrammetric surveys of physical models. These have allowed a superposition of results offered by numerical and physical models separately. This, together with a characterization of different construction materials with greater precision ‒ an issue outside our area of work ‒ could lead to adjusting both approaches so that a single model of global validity is achieved. References Addis, Bill. 2013. “Toys that save millions”. 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