Home Roof Geometry in Building Design
Article Open Access

Roof Geometry in Building Design

  • Edwin Koźniewski and Karolina Banaszak EMAIL logo
Published/Copyright: September 30, 2020
Become an author with De Gruyter Brill

Abstract

The paper shows the usefulness of the roof geometry in determining of building outline. It was pointed out how analysis of the roof skeleton shape avoids many design errors. Omitting the criterion for the shape of the roof skeleton in the case of multi-criteria optimization can pose a lot of difficulties when designing a building. The problem is discussed in the case study.

1 Introduction

Roof geometry [1, 2, 3, 4, 5] is a theory describing the class of well-known objects, so-called straight skeletons [6, 7, 8, 9, 10, 11]. The orthographic projection of the roof, i.e. the skeleton of the roof in the literature since 1995 has been called the straight skeleton [6]. In descriptive geometry, this object has been known for a long time [12, 13]. It is uniquely defined by the base polygon. The skeleton of a roof in recent years has been the object of interest of many authors dealing with computational geometry [6, 7, 14]. The concept of roof skeleton allows to determine the span of a building [15]. The roof skeleton structure, as it turns out, can be used to describe embankments [16]. There are many publications in which the issue of roofs has been treated very widely [17, 18, 19, 20, 21, 22, 23]. The authors in this paper pose the problem of the importance of the roof design process slightly differently.

Roof geometry can be useful for preliminary analysis of some building structural features. Especially when the building’s outline has a complicated shape. This applies to the initial design stage. According to the authors, the shape of the building’s outline should be adopted following an analysis of the roof shape. This means that designing a house architect should start by designing the shape of the roof. Three examples are considered in the paper (Figure 1, Figure 2, Figure 3, Table 1).

Figure 1 An unsuccessful attempt to design a roof truss on an ill-considered contour design: b) short (1180 mm) section of the ridge purlin, oblique to the straight line of the eaves, "forcing" a fragment of the saddle surface and various slope angles in the roof design; c) a multi-slope roof with slopes in the gable parts of the building with the same disadvantage
Figure 1

An unsuccessful attempt to design a roof truss on an ill-considered contour design: b) short (1180 mm) section of the ridge purlin, oblique to the straight line of the eaves, "forcing" a fragment of the saddle surface and various slope angles in the roof design; c) a multi-slope roof with slopes in the gable parts of the building with the same disadvantage

Figure 2 Correction of the building’s outline: a1) roof skeleton with given building outline - short (900 mm) section of the roof ridge hindering the design of the board or ridge purlin; a2) correction of building contour - moving two lines of the building plan by only 383 mm; a3) locally symmetrical plan of the building after correction
Figure 2

Correction of the building’s outline: a1) roof skeleton with given building outline - short (900 mm) section of the roof ridge hindering the design of the board or ridge purlin; a2) correction of building contour - moving two lines of the building plan by only 383 mm; a3) locally symmetrical plan of the building after correction

Figure 3 Correction of the outline of the designed building: a1) roof skeleton with given building outline - a short (35 cm) section of the roof rodge hindering the design of the board or ridge purlin; a2) roof solution for the designed outline; a3) correction of building outline - 50 cm shift of the building plan line and the locally symmetrical building plan obtained in this way
Figure 3

Correction of the outline of the designed building: a1) roof skeleton with given building outline - a short (35 cm) section of the roof rodge hindering the design of the board or ridge purlin; a2) roof solution for the designed outline; a3) correction of building outline - 50 cm shift of the building plan line and the locally symmetrical building plan obtained in this way

Table 1

List of building shapes obtained in the optimization process [24], wall length and azimuth, roof skeleton and edge length, building span

2 Examples of using roof geometry - case study

Example 1. An initiated student project was analyzed (Figure 1a). In the example, the roof shape was not checked before designing (Figure 1a). In particular, the symmetry of the building’s outline was not checked. This fact became the reason for further mistakes made when designing the roof truss.

Figure 1a shows a projection of the designed roof truss. An error was made in determining the building outline - no preliminary analysis was carried out. As a result, an asymmetrical roof was obtained, generating a short ridge edge (Figure 1b, 1c). Then a second mistake was made in designing the roof ridge on the longer part of the building (Figure 1b1). It turned out that part of the roof surface would not be flat. The edges: ridges and eaves will then be skew. A fragment of the saddle surface will be created. To start designing the building correctly, it was worth proceeding as follows. Assuming that the roof slope should be the same, a locally symmetrical system should have been adopted (Figure 2a3). Would be avoided: The following would be avoided: 1) the need to implement a short, non-horizontal (1180 mm) section of the roof ridge (Figure 1a1) or 2) the construction of a curvilinear fragment of the roof slope in the form of a saddle surface (Figure 1b, c). The correction of the building’s dimensions made it possible to obtain a locally symmetrical building with a loss of approx. 4 m2 of area (Figure 2a1: Area=1943973357.8854 [mm2], Perimeter = 217623.3146 [mm]; Figure 2a3: Area = 1903476713.4383 [mm2], Perimeter = 216089.6351 [mm]). The area loss of approx. 4 m2 can be compensated by increasing the dimensions from approx. 400 mm to 10592 by 11992 [mm] and from 15813 to 16213 [mm]. Although the deviations discussed will not have a significant impact on the roof truss technique, precision in design taking into account such details will certainly be a manifestation of the designer’s diligence and reliability.

Example 2. Another example concerns a designed building (Figure 3). Solving the roof over a building so designed, a too short (35 cm) section of the roof ridge is obtained (Figure 3a1). In this situation, the solution most often adopted as in the figure Figure 3a2. Then the roof consists of four quadrangular and one triangular hipped roof end. Then in the left part of the building one of the hipped roof ends is not a parallelogram, and the other is not an isosceles trapezoid. Other hipped roof ends are not 45% polygons. It all disturbs the roof aesthetics. In order to improve the symmetry is sufficient to raise the upper contour line of 50 cm (Figure 3a3).

Example 3. In the monograph [24] the authors presented the results of many years of research on the multi-criteria optimization of energy-saving buildings. They adopted three criteria:

  1. minimum construction costs, including material costs and erection of the building,

  2. minimum seasonal energy demand for heating,

  3. minimum emissions of solid and gaseous pollutants arising in the process of heat generation in the sources considered. The study tried to take into account all significant restrictions so that the resulting solutions could be useful in further work on the building design.

    Two groups of decision variables were adopted:

  4. variables determining the shape and dimensions of the building and its external partitions (wall lengths, number of storeys, angles of wall inclination to the north-south direction, thermal resistance of walls, windows, roof and floor, ratios of window surface to wall surface),

  5. variables defining heating devices and the way they are used (power of individual heating devices, number of heating devices with a given power, annual shares of individual devices in heat generation).

In the monograph [24] building outlines were described using polar coordinates li (distance), ϑi (azimuth).

The monograph does not take into account the structural features of the building, such as the roof truss span (1) and the length of the smallest edge of the roof skeleton (emin). Hence, it was interesting to analyze the roof of buildings assuming a multi-hipped shape with the same slope. By the way, the compactness of (2) buildings in the proposed solutions was examined. The value of indicator (2) was then compared with indicator (3).

In this work, the geometric shape of the polygons of the bases of building models obtained as a result of multi-criteria optimization using indicators was examined:

  1. span of the polygon [15], i.e. doubled the length of the largest height of the hipped roof end, i.e.

    (1)smax=2maxijsij,

    where i denote the number of polygon Ci and j denote the number of vertex of polygon Ci of generalized polygon P(C1, C2, ..., Ck) (cf. [1]),

  2. the length of the smallest ridge of the roof skeleton emin,

  3. indicator of compactness of a region relative to the circle (the inverted indicator [18] to POP ratio [25])

    (2)RCcir=P2πA,

    where P – perimeter of region, A – area of region of the base of building model,

  4. indicator of compactness of the square in relation to the circle

    (3)RCcir=2π=1,1284.

    The circumference of a square is almost 13% larger than the circumference of a circle with the same surface area.

The optimization results obtained in the monograph [24] for octagon, heptagon and nine-sided can be interpreted in the context of the concept of building span and length of ridge sections. In the second and third columns of Table 1 the shape of the geometric roof skeleton is given, in the second column – the compactness of the base polygon relative to a circle with the same surface, in the third column – the base and perimeter of the base, in the fourth column – the length of the shortest ridge of the roof skeleton and in the fifth column – roof truss span.

A similar analysis can be made for a building with a contour in the fifth row of Table 1. Maybe it is worth eliminating small, 0.46 [m] sections of roof ridge edges and thus simplify the topology of the roof skeleton, accepting (perhaps) small losses as a result of increasing the value of the objective function [24]. The shape of the roof is therefore an important parameter for the shape of the building, it is a derivative of the contour, if we plan the building arbitrarily; but it can become a determinant stimulating the development of the project when we start the process of designing the building geometry with the analysis of the shape of the roof skeleton.

Figure 4 Axonometric view of the roof model of the building No. 1
Figure 4

Axonometric view of the roof model of the building No. 1

Figure 5 Axonometric view of the roof model of the building No. 3
Figure 5

Axonometric view of the roof model of the building No. 3

Note that the values in the second column of Table 1 are definitely more favorable than the values calculated relative to the square. No wonder, because the optimal solution obtained is close to the shape of the circle. The idea of obtaining such a solution guided the authors of the work [24]. The solution is worse than ideal (for the wheel) only by about 5% (in the second row the value 1.0488) and by about 3% (in the third row the value 1.0311).

3 Conclusions

  1. The building outline, including arcades and covered terraces, determines the shape of the roof. The shape is unique, the slope of the hipped roof ends are the same.

  2. There is convenient software that allows preliminary simulation of the roof skeleton (e.g. AutoCAD environment). Checking the shape of the roof on the proposed outline of the designed building is a simple operation.

  3. Omission of the initial analysis of the building’s outline shape can cause many difficulties in the correct design of the building.

  4. When using multi-criteria methods, the shape of the roof skeleton and the parameters resulting from it should be among the criteria.

Acknowledgement

This work was supported by Bialystok University of Technology grant WZ/WBiIS/6/2019, financed from the funds for science of MNiSW, and by Warsaw University of Technology grant 504/04495/1110/43.100028 for publication from Scientific Council of Discipline – Environmental Engineering, Mining and Energy supporting scientific activities in the discipline of Environmental Engineering, Mining and Energy in 2020.

References

[1] Koźniewski E. Geometry of roofs from the view point of graph theory. J Geom Graph. 2004;8(1):41–58.Search in Google Scholar

[2] Koźniewski E. On the existence of shapes of roofs. J Geom Graph. 2004;8(2):185–98.Search in Google Scholar

[3] Koźniewski E. Geometria dachów. Teoria i zastosowanie (Geometry of Roofs. Theory and Applications).Wydawnictwo Politechniki Białostockiej, Białystok; 2007.Search in Google Scholar

[4] Koźniewski E. Offsets in Geometric Creation of Roof Skeletons with Varying Slope and Cut-and-Fill Problems in Topographic Projection. The Journal Biuletyn of Polish Society for Geometry and Engineering Graphics. 2010;21:29–35.Search in Google Scholar

[5] Koźniewski E. New methods of the computer aided design of roof skeletons. Geometry & Graphics. 2016;4(2):3–7.10.12737/19827Search in Google Scholar

[6] Aichholzer O, Alberts D, Aurenhammer F, Gartner B. A novel type of skeleton for polygons. J Univers Comput Sci. 1995;1(12):752–61.10.1007/978-3-642-80350-5_65Search in Google Scholar

[7] Aichholzer O, Alberts D, Aurenhammer F, Gartner B. Straight skeletons for general figures in the plane. Proc. 2nd Annual International Conference Computing and Combinatorics Lecture Notes in Computer Science 1090, Springer. 1996: 117–126.10.1007/3-540-61332-3_144Search in Google Scholar

[8] Felkel P, Obdržalek Š. Straight skeleton computation. Spring Conference on Computer Graphics Budmerice, Slovakia. 1998: 210–218.Search in Google Scholar

[9] Felkel P, Obdržalek Š. Improvement of Oliva’s algorithm for surface reconstruction from contours. Spring Conference on Computer Graphics Budmerice, Slovakia. 1999: 254–263.Search in Google Scholar

[10] Eppstein D, Erickson J. Raising roofs, crashing cycles, and playing pool: application of a data structure for finding pairwise interactions. Discrete Comput Geom. 1999;22(4):569–92.10.1145/276884.276891Search in Google Scholar

[11] de Berg M, van Kreveld M, Overmars M, Schwarzkopf O. Computational Geometry: Algorithms and Applications. Springer-Verlag Berlin Heidelberg; 2000. https://doi.org/10.1007/978-3-662-04245-810.1007/978-3-662-04245-8Search in Google Scholar

[12] Dolnicki M, Trzciński G, editors. Podręcznik inżynierskiwzakresie inżynierji lądowej i wodnej (Civil and Water Engineering Handbook). Księgarnia Polska B. Połonieckiego, Lwów – Warszawa.1932; 3 (8): 1909-1910. access: 2.02.2020, https://delibra.bg.polsl.pl/dlibra/publication/28927/edition/25390Search in Google Scholar

[13] Szerszeń S. Nauka o rzutach (Learn about Projections). Państwowe Zakłady Wydawnictw Szkolnych, Warszawa; 1950.Search in Google Scholar

[14] Aurenhammer F, Edelsbrunner H. An optimal algorithm for constructing the weighted Voronoi diagram in the plane. Pattern Recognit. 1984;17(2):251–7.10.1016/0031-3203(84)90064-5Search in Google Scholar

[15] Koźniewski E. Rectangular polygons and its shape parameters. The Journal Biuletyn of Polish Society for Geometry and Engineering Graphics. 2015;27:9–15.Search in Google Scholar

[16] Koźniewski E, Orłowski M. Volume Optimization of Solid Waste Landfill Using Voronoi Diagram Geometry. Open Eng. 2019;9(1):307–11.10.1515/eng-2019-0040Search in Google Scholar

[17] Harris CM, editor. Dictionary of Architecture and Construction. 3rd ed. New York: McGraw Hill; 2000.Search in Google Scholar

[18] Jenkins J. The Slate Roof Bible. Understanding, Installing and Restoring the World’s FinestRoof. The second edition; 2003.Search in Google Scholar

[19] Schunk E, Oster H, Barthel R, Kiessl K. Roof Construction Manual. Pitched Roofs Detail construction Manuals Ser., Birkhauser, Walter de Gruyter GmbH; 2003. access: 2.02.2020, https://ebookcentral-1proquest-1com-1000071kl08b6.eczyt.bg.pw.edu.pl/lib/wtu/detail.action?docID=107552310.11129/detail.9783034615631Search in Google Scholar

[20] Pottmann H, Asperl A, Hofer M, Kilian A. Architectural Geometry. Bentley Institute Press; 2007.Search in Google Scholar

[21] Davies N, Jokiniemi E. Dictionary of Architecture and Building Construction. 1st ed. Architectural Press; 2008. https://doi.org/10.4324/978008087874410.4324/9780080878744Search in Google Scholar

[22] Recuero A, Cutiérrez JP. Sloped Roofs for Architectural CAD Systems. Comput Aided Civ Infrastruct Eng. 2008;8(2):147–59.10.1111/j.1467-8667.1993.tb00202.xSearch in Google Scholar

[23] Types of Roofs JTC Roofing Contractors LTD. access: 2.02.2020, https://www.jtcroofing.co.uk/roof-types/Search in Google Scholar

[24] Marks W, Owczarek S. Optymalizacja wielokryterialna budynków energooszczędnych (Multi-criteria optimization of energy-saving buildings), Polska Akademia Nauk, Warszawa; 1999Search in Google Scholar

[25] Brandon PS. A framework for cost exploration and strategic cost planning in design. Cartered Surveyor Building and Quantity Surveying Quarterly. 1978;5(4):60–3.Search in Google Scholar

Received: 2020-02-20
Accepted: 2020-03-13
Published Online: 2020-09-30

© 2020 E. Koźniewski and K. Banaszak, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

Articles in the same Issue

  1. Regular Articles
  2. Fabrication of aluminium covetic casts under different voltages and amperages of direct current
  3. Inhibition effect of the synergistic properties of 4-methyl-norvalin and 2-methoxy-4-formylphenol on the electrochemical deterioration of P4 low carbon mold steel
  4. Logistic regression in modeling and assessment of transport services
  5. Design and development of ultra-light front and rear axle of experimental vehicle
  6. Enhancement of cured cement using environmental waste: particleboards incorporating nano slag
  7. Evaluating ERP System Merging Success In Chemical Companies: System Quality, Information Quality, And Service Quality
  8. Accuracy of boundary layer treatments at different Reynolds scales
  9. Evaluation of stabiliser material using a waste additive mixture
  10. Optimisation of stress distribution in a highly loaded radial-axial gas microturbine using FEM
  11. Analysis of modern approaches for the prediction of electric energy consumption
  12. Surface Hardening of Aluminium Alloy with Addition of Zinc Particles by Friction Stir Processing
  13. Development and refinement of the Variational Method based on Polynomial Solutions of Schrödinger Equation
  14. Comparison of two methods for determining Q95 reference flow in the mouth of the surface catchment basin of the Meia Ponte river, state of Goiás, Brazil
  15. Applying Intelligent Portfolio Management to the Evaluation of Stalled Construction Projects
  16. Disjoint Sum of Products by Orthogonalizing Difference-Building ⴱ
  17. The Development of Information System with Strategic Planning for Integrated System in the Indonesian Pharmaceutical Company
  18. Simulation for Design and Material Selection of a Deep Placement Fertilizer Applicator for Soybean Cultivation
  19. Modeling transportation routes of the pick-up system using location problem: a case study
  20. Pinless friction stir spot welding of aluminium alloy with copper interlayer
  21. Roof Geometry in Building Design
  22. Review Articles
  23. Silicon-Germanium Dioxide and Aluminum Indium Gallium Arsenide-Based Acoustic Optic Modulators
  24. RZ Line Coding Scheme With Direct Laser Modulation for Upgrading Optical Transmission Systems
  25. LOGI Conference 2019
  26. Autonomous vans - the planning process of transport tasks
  27. Drivers ’reaction time research in the conditions in the real traffic
  28. Design and evaluation of a new intersection model to minimize congestions using VISSIM software
  29. Mathematical approaches for improving the efficiency of railway transport
  30. An experimental analysis of the driver’s attention during train driving
  31. Risks associated with Logistics 4.0 and their minimization using Blockchain
  32. Service quality of the urban public transport companies and sustainable city logistics
  33. Charging electric cars as a way to increase the use of energy produced from RES
  34. The impact of the truck loads on the braking efficiency assessment
  35. Application of virtual and augmented reality in automotive
  36. Dispatching policy evaluation for transport of ready mixed concrete
  37. Use of mathematical models and computer software for analysis of traffic noise
  38. New developments on EDR (Event Data Recorder) for automated vehicles
  39. General Application of Multiple Criteria Decision Making Methods for Finding the Optimal Solution in City Logistics
  40. The influence of the cargo weight and its position on the braking characteristics of light commercial vehicles
  41. Modeling the Delivery Routes Carried out by Automated Guided Vehicles when Using the Specific Mathematical Optimization Method
  42. Modelling of the system “driver - automation - autonomous vehicle - road”
  43. Limitations of the effectiveness of Weigh in Motion systems
  44. Long-term urban traffic monitoring based on wireless multi-sensor network
  45. The issue of addressing the lack of parking spaces for road freight transport in cities - a case study
  46. Simulation of the Use of the Material Handling Equipment in the Operation Process
  47. The use of simulation modelling for determining the capacity of railway lines in the Czech conditions
  48. Proposals for Using the NFC Technology in Regional Passenger Transport in the Slovak Republic
  49. Optimisation of Transport Capacity of a Railway Siding Through Construction-Reconstruction Measures
  50. Proposal of Methodology to Calculate Necessary Number of Autonomous Trucks for Trolleys and Efficiency Evaluation
  51. Special Issue: Automation in Finland
  52. 5G Based Machine Remote Operation Development Utilizing Digital Twin
  53. On-line moisture content estimation of saw dust via machine vision
  54. Data analysis of a paste thickener
  55. Programming and control for skill-based robots
  56. Using Digital Twin Technology in Engineering Education – Course Concept to Explore Benefits and Barriers
  57. Intelligent methods for root cause analysis behind the center line deviation of the steel strip
  58. Engaging Building Automation Data Visualisation Using Building Information Modelling and Progressive Web Application
  59. Real-time measurement system for determining metal concentrations in water-intensive processes
  60. A tool for finding inclusion clusters in steel SEM specimens
  61. An overview of current safety requirements for autonomous machines – review of standards
  62. Expertise and Uncertainty Processing with Nonlinear Scaling and Fuzzy Systems for Automation
  63. Towards online adaptation of digital twins
  64. Special Issue: ICE-SEAM 2019
  65. Fatigue Strength Analysis of S34MnV Steel by Accelerated Staircase Test
  66. The Effect of Discharge Current and Pulse-On Time on Biocompatible Zr-based BMG Sinking-EDM
  67. Dynamic characteristic of partially debonded sandwich of ferry ro-ro’s car deck: a numerical modeling
  68. Vibration-based damage identification for ship sandwich plate using finite element method
  69. Investigation of post-weld heat treatment (T6) and welding orientation on the strength of TIG-welded AL6061
  70. The effect of nozzle hole diameter of 3D printing on porosity and tensile strength parts using polylactic acid material
  71. Investigation of Meshing Strategy on Mechanical Behaviour of Hip Stem Implant Design Using FEA
  72. The effect of multi-stage modification on the performance of Savonius water turbines under the horizontal axis condition
  73. Special Issue: Recent Advances in Civil Engineering
  74. The effects of various parameters on the strengths of adhesives layer in a lightweight floor system
  75. Analysis of reliability of compressed masonry structures
  76. Estimation of Sport Facilities by Means of Technical-Economic Indicator
  77. Integral bridge and culvert design, Designer’s experience
  78. A FEM analysis of the settlement of a tall building situated on loess subsoil
  79. Behaviour of steel sheeting connections with self-drilling screws under variable loading
  80. Resistance of plug & play N type RHS truss connections
  81. Comparison of strength and stiffness parameters of purlins with different cross-sections of profiles
  82. Bearing capacity of floating geosynthetic encased columns (GEC) determined on the basis of CPTU penetration tests
  83. The effect of the stress distribution of anchorage and stress in the textured layer on the durability of new anchorages
  84. Analysis of tender procedure phases parameters for railroad construction works
  85. Special Issue: Terotechnology 2019
  86. The Use of Statistical Functions for the Selection of Laser Texturing Parameters
  87. Properties of Laser Additive Deposited Metallic Powder of Inconel 625
  88. Numerical Simulation of Laser Welding Dissimilar Low Carbon and Austenitic Steel Joint
  89. Assessment of Mechanical and Tribological Properties of Diamond-Like Carbon Coatings on the Ti13Nb13Zr Alloy
  90. Characteristics of selected measures of stress triaxiality near the crack tip for 145Cr6 steel - 3D issues for stationary cracks
  91. Assessment of technical risk in maintenance and improvement of a manufacturing process
  92. Experimental studies on the possibility of using a pulsed laser for spot welding of thin metallic foils
  93. Angular position control system of pneumatic artificial muscles
  94. The properties of lubricated friction pairs with diamond-like carbon coatings
  95. Effect of laser beam trajectory on pocket geometry in laser micromachining
  96. Special Issue: Annual Engineering and Vocational Education Conference
  97. The Employability Skills Needed To Face the Demands of Work in the Future: Systematic Literature Reviews
  98. Enhancing Higher-Order Thinking Skills in Vocational Education through Scaffolding-Problem Based Learning
  99. Technology-Integrated Project-Based Learning for Pre-Service Teacher Education: A Systematic Literature Review
  100. A Study on Water Absorption and Mechanical Properties in Epoxy-Bamboo Laminate Composite with Varying Immersion Temperatures
  101. Enhancing Students’ Ability in Learning Process of Programming Language using Adaptive Learning Systems: A Literature Review
  102. Topical Issue on Mathematical Modelling in Applied Sciences, III
  103. An innovative learning approach for solar power forecasting using genetic algorithm and artificial neural network
  104. Hands-on Learning In STEM: Revisiting Educational Robotics as a Learning Style Precursor
Downloaded on 18.9.2025 from https://www.degruyterbrill.com/document/doi/10.1515/eng-2020-0094/html
Scroll to top button