Abstract
In this paper the issue of approximation of the hyperboloid offset surface off(S(t, v); d) at distance d by the hyperboloid surface S1(ϕ, v) is considered. The problem of determining various surfaces approximating the hyperboloid offset surface off (S(t, v); d) is important due to the applications of the hyperboloid as a mathematical model for miscellaneous objects in the architecture and construction industry. The paper presents the method of determining the angles and coordinates of points of various surfaces approximating the hyperboloid of revolution. A two-sheet hyperboloid offset surface can be used for modelling double-layer domes. A one-sheet hyperboloid offset surface was used to model the reinforced structure of the cooling tower.
1 Introduction
A one-sheet hyperboloid is often used as a model for various objects in the construction industry. It is a doubly ruled surface. Thanks to this, one-sheet hyperboloid shaped constructions can be built with, for example straight steel elements that form a strong structure. Such a clever design guarantees lower costs than other technical solutions. Examples of such constructions are cooling towers (Jaworzno, Cracow in Poland), Kobe Port Tower in Japan, Newcastle International Airport in England, Cathedral of Brasilia in Brazil, the Canton Tower in China and many other structures. A two-sheet hyperboloid can be used to model domes and other roofs which cover stadiums, halls, and shopping centres. Nowadays, lattice domes with elaborate shapes (Golden Terraces in Warsaw) and multilayer (retractable) roofs of large objects (National Stadium in Singapore) are used.
To design structures based on the hyperboloid S(t, v), the coordinates of points of other surfaces that approximate the hyperboloid S(t, v) are necessary. The hyperboloid S(t, v) can be approximated by means of the offset surfaces, a hyperboloid of similar parameters or another surface with the desired properties. The paper provides a convenient methodology for acquiring the angles and coordinates of points of various surfaces that approximate the one-sheet (or two-sheet) hyperboloid surface.
Section 3 suggests the construction of a reinforced hyperboloid-shaped double-layer dome. Section 4 presents a proposal for a reinforced cooling tower structure. Sections 2, 3.1, 3.2 and 4.1 provide mathematical formulas defining the angles and coordinates of points of different surfaces approximating the hyperboloid. The interesting offset surfaces (offset curves) are described in [3, 4, 5]. Section 5 contains examples of the applications of the given geometric method.
2 Mathematical formulas
Let c(t) = (x(t), y(t))(t ∈ [α, β]) be a parametric representation of a planar curve (we write down functions x(t), y(t) as xt, yt). The normal vector to the curve c(t) at the point P(xt , yt) is as follows
For a smooth planar curve c, we define an offset curve cd at distance d in the following way. On each curve normal, we mark the two points that are at distance d from the curve c. The set of all of these points forms the offset
Let us assume that P is any point on the hyperbola ch and l is the normal line to ch at the point P. Points P1 and P2 lie on the normal l at distance d from P. Q1, Q2 are the intersection points of the normal line l with hyperbolas ch1 and ch2 respectively. Non-zero distances
![Figure 1 Kobe Port Tower in Japan (cf. [1])](/document/doi/10.1515/eng-2019-0051/asset/graphic/j_eng-2019-0051_fig_001.jpg)
Kobe Port Tower in Japan (cf. [1])
![Figure 2 National Stadium in Singapore (cf. [2])](/document/doi/10.1515/eng-2019-0051/asset/graphic/j_eng-2019-0051_fig_002.jpg)
National Stadium in Singapore (cf. [2])

The arrangement of points and curves
The ch(t), ch1 (ϕ) and off (ch; d) curves shown in Figure 3 are defined as follows
(cf. [7], p. 98),
Definition 1 (horizontal offset thickness) Let the points P, P1, PP1 (zP1 = zPP1) and curves ch, ch1, off(ch; d) be defined as above (see Figure 3). Horizontal offset thickness measured at height z = zP1 (zP1 is arbitrary but fixed) is defined as the length of the section
Definition 2 (cf. [7], p. 97)
3 Double-layer lattice domes
In this section, we suggest the use of the two-sheet rotational hyperboloid surface to form double-layer lattice domes. Such roofs of large buildings (stadiums, halls, shopping centres) made of metal bars can be light constructions with considerable spread. The bar structures of the low-profile single-layer domes are particularly susceptible to stability loss [8]. Therefore, a more advantageous solution is the construction of double-layer structures connected by bars [9].We provide a convenient method for determining the angles and coordinates of points of various surfaces (also the offset surfaces) approximating the two-sheet hyperboloid surface.
3.1 The coordinates of points P1 and P2
Let us take the parametric equations of the hyperbola Ch(t): x = a sinh(t), z = −bcosh(t). We can assume that t ≥ 0, because the graph of the curve Ch(t) is symmetrical about the Z axis. The coordinates of points P1 and P2 lying on the normal l to the hyperbola C h(t) (at the point P(xt, zt)) and distant from P by the length d were determined using the following equation of the offset curves off(Ch(t); d)
for xt = a sinh(t), zt = −bcosh(t). From here we obtain the coordinates of points P1 and P2
for xt = a sinh(t), zt = −b cosh(t).
3.2 The coordinates of the point Q1
Let us take the parametric equations of the hyperbola Ch1(ϕ) : x = a sinh(ϕ), z = −b cosh(ϕ) − d. The coordinates of the point Q1 (the intersection of the normal line l to the hyperbola Ch(t) at the point P(xt , zt) with the hyperbola Ch1(ϕ)) were determined as follows. We can assume that t, ϕ ≥ 0. The normal vector to the curve Ch(t) at the point P is of the form n = [b sinh(t), a cosh(t)]. The parametric equations of the normal line l to the hyperbola Ch(t) at the point P are as follows (cf. [10], p. 140)
Let us set the parameter k giving the intersection points of the line l with the hyperbola Ch1(ϕ).
Let us determine the parameter k from the second equation and put it in the first equation.
Hence and from definition 2 we have
Hence
where
A = a2 cosh(t) + b2 sinh(t),
B = −2 sinh(t)(cosh(t)(a2 + b2)− db),
C = b2 sinh(t) − a2 cosh(t).
Let us denote E = eϕ. Then for Δ = B2 − 4AC = 0 we have
Lemma 1 (cf. [5], Lemma 3, p. 46)
Let us denote
The coordinates of the points P, P1 and Q1 can be determined using the parametric equations (6) of the normal line l to the hyperbola C h(t) at the point P(xt , zt) (we also write down P(xP, zP)) for the parameter k equal respectively k = 0, k = kP1 (cf. (5)) and k = k1 (cf. (7)).
dPQ1 ≤ d iff k1 ≤ kP1.
The property (b) results from the fact that points P, P1 and Q1 lie on the normal l.
Figure 4 shows the two-sheet rotational hyperboloid S h(t, v) (the red surface), the two-sheet rotational hyperboloid Sh1(ϕ, v) (the bright blue surface) and the hyperboloid offset surface off(Sh; d) at distance d (the dark blue surface).

Fragment of the (red) two-sheet hyperboloid Sh(t, v), the (bright blue) two-sheet hyperboloid Sh1(ϕ, v) and the (blue) hyperboloid offset surface off(Sh; d)
Sh(t, v) : x = (a sinh(t)) cos(v),
y = (a sinh(t)) sin(v), z = −b cosh(t),
Sh1(ϕ, v) : x = (a sinh(ϕ)) cos(v),
y = (a sinh(ϕ)) sin(v), z = −b cosh(ϕ) − d,
off(Sh; d) : x = sinh(t)(a − dbkP1) cos(v),
y = sinh(t)(a − dbkP1) sin(v),
z = − cosh(t)(b + dakP1),
where
Figure 5 shows a fragment of the double-layer lattice dome of the shape based on the two-sheet rotational hyperboloid. The black lattice is shaped by the hyperboloid Sh(t, v) (a = 30, b = 40), the blue lattice is formed by the offset surface off(Sh; d) (d = 6) and the pink lattice is a part

Fragment of the double-layer lattice dome of the shape based on the two-sheet rotational hyperboloid

Fragment of the double-layer lattice dome of the shape based on the two-sheet rotational hyperboloid
of the hyperboloid Sh1(ϕ, v). The bars connecting the two lattice surfaces are perpendicular to the outer surface. The given formulas allow designers to use any lattice pattern.
4 Cooling towers
A cooling tower is a device used to cool industrial water in those energy and industrial plants that do not have the possibility to make use of water from a river, lake or sea. Cooling towers are equipped with a very high (usually) reinforced concrete chimney. The chimney wall is a thin shell in the shape (from outside and inside) of the one-sheet rotational hyperboloid. This chimney construction is rigid and resistant to bending. Such a design guarantees the possibility of obtaining a large diameter and height. Thanks to the high chimney and the heated water, the so-called chimney effect is obtained.
Figure 7 shows the model of the chimney wall. The one-sheet hyperboloid surface sh(t, v) modelling the outer part of the chimney wall is coloured bright blue. The one-sheet hyperboloid surface sh1(ϕ, v) modelling the inner part of the chimney wall is coloured red. The offset surface off(sh; d) at distance d to the outer part of the chimney wall is coloured dark blue. The use of the offset surface (i.e. horizontal offset thickness) could reinforce the structure of the chimney wall. The wall would be more resistant to wind force. The surfaces sh(t, v) and sh1(ϕ, v) were cut out to show the next layer (see Figure 7).

Wall model of a cooling tower
sh(t, v) : x = a cosh(t) cos(v),
y = a cosh(t) sin(v), z = b sinh(t),
sh1(ϕ, v) : x = (a cosh(ϕ) − d) cos(v),
y = (a cosh(ϕ) − d) sin(v), z = b sinh(ϕ),
off(sh; d) = sh(t, v) + dnver(t, v),
where nver(t, v) is the unit normal vector to the surface sh(t, v) at any point.
4.1 The coordinates of points P1, P2, Q1 and Q2
Let the points P, P1, P2, Q1, Q2 and curves (hyperbolas) ch(t), ch1(ϕ), ch2(ϕ) be defined as in section 2 (see Figure 3, (2), (3)).We can assume that t, ϕ ≥ 0, because the graph of the curve ch(t) (also ch1(ϕ), ch2(ϕ)) is symmetrical about the X axis. By conducting analogous calculations as in 3.1 we get the coordinates of points P1 and P2 lying on the normal l to the hyperbola ch(t) (at the point P(xt , zt)) and distant from P by the length d.
for xt = a cosh(t), zt = b sinh(t).
By conducting analogous calculations as in 3.2 we get the coordinates of the point Q1 (and the point Q2) (the intersection of the normal line l to the hyperbola ch(t) at the point P(xt , zt) with the hyperbola ch1(ϕ) (with the hyperbola ch2(ϕ))).
Lemma 2 (a) The coordinates of the point Q1 can be determined using the parametric equations
of the normal line l to the hyperbola ch(t) at the point P(xt , zt) for the following parameter k
where
A = a2 sinh(t) + b2 cosh(t),
B = −2 sinh(t)(cosh(t)(a2 + b2) + da),
C = a2 sinh(t) − b2 cosh(t), Δ = B2 − 4AC.
(b) The coordinates of the point Q2 can be determined using the parametric equations
of the normal line l to the hyperbola ch(t) at the point P(xt , zt) for the following parameter k
where
A = a2 sinh(t) + b2 cosh(t),
B = −2 sinh(t)(cosh(t)(a2 + b2)− da),
C = a2 sinh(t) − b2 cosh(t), Δ = B2 − 4AC.
4.2 Variability of the thickness of the cooling tower shell
The deviation of the chimney wall thickness from the horizontal offset thickness has been analyzed. The structure under investigation was the chimney of the Rybnik cooling tower. The outer side of the chimney of the Rybnik cooling tower has the shape of the hyperboloid SRh(t, v). Parameters of the Rybnik chimney are shown in Figure 8 (a = 26m, b = 60.83m, constant shell thickness d = 0.14m, radius of the bottom base R2 = 47.5m, radius of the upper base R1 = 27.4m, chimney height z = 93 + 20m). Figure 8 also shows the variability of the chimney shell thickness. The first ring from the bottom is 0.6m thick. Next, on the 13 metres section, the thickness of the shell decreases to 0.18m according to the hyperbolic function. On the next 36 metres section the thickness decreases linearly to 0.14m. At the next stage (59m) the thickness is constant, equal to 0.14m. Over the last 5m the thickness increases linearly to 0.25m. We assume that the inside of the chimney (on the 59 metres section) has the shape of the hyperboloid SRh1(ϕ, v).
SRh(t, v) : x = 26 cosh(t) cos(v),
y = 26 cosh(t) sin(v), z = 60.83 sinh(t),
SRh1(ϕ, v) : x = (26 cosh(ϕ) − d) cos(v),
y = (26 cosh(ϕ) − d) sin(v),
z = 60.83 sinh(ϕ).
The measurements of the shape of the outer surface of the Rybnik chimney made in 1991 and 2010 showed the execution of the object with numerous deviations from the ideal geometry of the one-sheet rotational hyperboloid. The results obtained in 2010 gave extreme deviation values (to the interior of the shell −1.124m, outside the shell +0.788m) (cf. [11]).
The measurements made in the last 19 years have shown a very disturbing increment of displacements in extreme cases reaching values of 0.3-0.4m (with a tendency to move towards the interior in the lower part of the shell and outside in the upper one). The tests showed a clear threat to the load-bearing capacity and stability of the object (cf. [11]).
The method for determining the wall thickness of the cooling tower has been given. The thickness of the chimney wall is measured along the normal line l to the external surface of the chimney passing through the point P. More specifically, it was assumed that the external surface (the inner surface) of the chimney was shaped as the hyperboloid surface SRh(t, v) (respectively as the hyperboloid surface SRh1(ϕ, v)). The formula specifying distance
Test 1 A numerical analysis was carried out for the problem described above (see Table 1).
Coordinates of points P and Q1, the angle t (for the point P) and ϕ (for the point Q1), coefficient k and distance dPQ1 measured at successive heights of the Rybnik chimney
xP / zP | t / ϕ | k / dPQ1 | xQ1 / zQ1 |
---|---|---|---|
xP=26 | t=0∘ | k=0.016439 | xQ1=25.86 |
zP=0 | ϕ=0∘ | dPQ1=0.14(100%) | zQ1=0 |
xP=26.3490 | t=9∘22’37" | k=0.016144 | xQ1=26.2096 |
zP=10 | ϕ=9∘23’10" | dPQ1=0.1397(99.8%) | zQ1=10.0097 |
xP=27.3692 | t=18∘30’51" | k=0.015343 | xQ1=27.2317 |
zP=20 | ϕ=18∘31’50" | dPQ1=0.1388(99.1%) | zQ1=20.0184 |
xP=28.9900 | t=27∘13’17" | k=0.014235 | xQ1=28.8548 |
zP=30 | ϕ=27∘14’34" | dPQ1=0.1376(98.3%) | zQ1=30.0255 |
xP=31.1175 | t=35∘23’1" | k=0.013017 | xQ1=30.9849 |
zP=40 | ϕ=35∘24’29" | dPQ1=0.1363(97.3%) | zQ1=40.0311 |
xP=33.6559 | t=42∘57’22" | k=0.011828 | xQ1=33.5255 |
zP=50 | ϕ=42∘58’55" | dPQ1=0.1351(96.5%) | zQ1=50.0354 |
xP=36.5196 | t=49∘56’39" | k=0.010736 | xQ1=36.3911 |
zP=60 | ϕ=49∘58’12" | dPQ1=0.1341(95.8%) | zQ1=60.0385 |
xP=39.6380 | t=56∘22’56" | k=0.009766 | xQ1=39.5112 |
zP=70 | ϕ=56∘24’27" | dPQ1=0.1332(95.1%) | zQ1=70.0409 |
xP=42.9559 | t=62∘19’4" | k=0.008918 | xQ1=42.8304 |
zP=80 | ϕ=62∘20’31" | dPQ1=0.1325(94.6%) | zQ1=80.0427 |
xP=46.4303 | t=67∘48’5" | k=0.008180 | xQ1=46.3059 |
zP=90 | ϕ=67∘49’28" | dPQ1=0.1320(94.3%) | zQ1=90.0440 |
xP=50.0288 | t=72∘52’56" | k=0.007538 | xQ1=49.9053 |
zP=100 | ϕ=72∘54’16" | dPQ1=0.1315(93.9%) | zQ1=100.0451 |
The distances dPQ1 were measured for points P(xP, zP), where zP = 0, 10, ..., 100m. The distance dPQ1 decreases with the increase of zP and at the height zP = 100m dPQ1 = 0.939d.
In order to strengthen the chimney wall (at the design stage) in the part where the thickness of the shell is smallest, it is proposed to design a wall with the horizontal offset thickness. Such a construction will be more resistant to wind force. For this purpose, it is enough to shape the inside of the chimney using the hyperboloid offset surface off(SRh; d)
off(SRh; d) : x = cosh(t)(a − dbkP1) cos(v),
y = cosh(t)(a − dbkP1) sin(v),
z = sinh(t)(b + dakP1),
where
Test 2 A numerical analysis was carried out for the following problem. At the following heights zPP1 = 0, 10, ..., 100m of the chimney (see the point PP1(xPP1, zPP1) in Figure 3) the horizontal offset thickness of the chimney wall was determined. I.e. for consecutive values zP1 = zPP1 the coordinates of points P1, PP1 and distance
Method. For each value i = 0, 10, ..., 100 such an angle t was determined that zP1(t) = i. Because zP1(t) = zPP1(t), the coordinates of the point PP1 can be determined as follows xPP1 = a cosh(α), zPP1 = b sinh(α), where α = arsinh(zP1/b). Additionally, the point Q1(xQ1, zQ1) was determined for the angle ϕ (cf. (10)). Table 2 also gives the distance dPQ1 ≤ d (when the inner wall is shaped as the surface SRh1) and the horizontal offset thickness dP1PP1 ≥ d (when the inner wall is shaped as the offset surface off(SRh; d)). The distance dP1PP1 increases with increasing zP1.
Coordinates of points P, PP1, P1 and Q1, the angle t (for the point P), ϕ (for the point Q1), α (for the point PP1) and distances dPQ1 and dP1PP1 measured at successive heights of the Rybnik chimney
xP/xPP1/xP1/xQ1 | zP/zPP1/zP1/zQ1 | t / ϕ / α | dPQ1 / dP1PP1 |
---|---|---|---|
xP=26 | zP=0 | t=0∘ | dPQ1=0.14 |
xPP1=26 | zPP1=0 | ϕ=0∘ | (100%) |
xP1=25.86 | zP1=0 | α=0∘ | dP1PP1=0.14 |
xQ1=25.86 | zQ1=0 | ||
xP=27.3668 | zP=19.9815 | t=18∘29’51" | dPQ1=0.1388 |
xPP1=27.3692 | zPP1=20 | ϕ=18∘30’50" | (99.1%) |
xP1=27.2280 | zP1=20 | α=18∘30’51" | dP1PP1=0.1412 |
xQ1=27.2292 | zQ1=19.9998 | ||
xP=31.1100 | zP=39.9680 | t=35∘21’30" | dPQ1=0.1363 |
xPP1=31.1175 | zPP1=40 | ϕ=35∘22’58" | (97.3%) |
xP1=30.9737 | zP1=40 | α=35∘23’1" | dP1PP1=0.1438 |
xQ1=30.9773 | zQ1=39.9991 | ||
xP=36.5075 | zP=59.9598 | t=49∘55’2" | dPQ1=0.1341 |
xPP1=36.5196 | zPP1=60 | ϕ=49∘56’35" | (95.8%) |
xP1=36.3734 | zP1=60 | α=49∘56’39" | dP1PP1=0.1462 |
xQ1=36.3790 | zQ1=59.9983 | ||
xP=42.9405 | zP=79.9549 | t=62∘17’31" | dPQ1=0.1325 |
xPP1=42.9559 | zPP1=80 | ϕ=62∘18’59" | (94.6%) |
xP1=42.8080 | zP1=80 | α=62∘19’4" | dP1PP1=0.1479 |
xQ1=42.8150 | zQ1=79.9976 | ||
xP=50.0113 | zP=99.9520 | t=72∘51’32" | dPQ1=0.1315 |
xPP1=50.0288 | zPP1=100 | ϕ=72∘52’51" | (93.9%) |
xP1=49.8798 | zP1=100 | α=72∘52’56" | dP1PP1=0.1490 |
xQ1=49.8878 | zQ1=99.9971 |
5 Applications of the given method
The given geometric method can be used, among other things, for modelling hyperboloid objects in architecture and civil engineering design. Its advantages will be presented using examples of domes and elevations designed with a hyperboloid shape.
The geometry of the base surface of the dome (roof) has a decisive influence on the majority of its construction features: load-bearing capacity, rigidity, simplicity of execution, aesthetics. Therefore, at present mainly geodesic lattice domes are used (low dead weight of the structure with relatively high load capacity [13]) (cf. [14]). Since the offset surfaces of the sphere are spheres, it is easy to obtain surfaces approximating the base sphere. However, for more representative architectural objects, designers propose more glamorous roofs (Sydney Opera House, Wanda Metropolitano (Madrit), Yas Island Marina Hotel
(Abu Dhabi),Mercedes Benz Stadium (Atlanta), Khalifa International Stadium (Qatar).
In order to shape a lattice dome (or a roof) it is necessary to define (in a mathematical way) the surface on which the coating will be stretched. The proposed method provides simple mathematical formulas for angles and coordinates of points of various surfaces approximating the hyperboloid of revolution. Additionally, it allows the designer to adjust the height of the dome in order to ensure its stability. The given method can be used in CAD (Computer-Aided Design). (A) Thanks to the given formulas, any element (e.g. a dome, its fragment) of hyperboloid shape can be designed in any programming language (e.g. Cpp) and saved in DXF format. The DXF file can be imported into AutoCAD to get a DWG file (a standard file format for CAD). In this way, the designer can obtain (cf. [15]) in a very short time (at very little cost) a set of complicated digital models (for different parameters). If the object consists of many hyperboloid fragments, in order to make a digital mock-up of the whole object, the designer can "assemble" created digital submodels (fragments) instead of scanning a three-dimensional mock-up made by the artist. There are a lot of programs (Digital Project, Rhino-Grasshopper, CA-TIA, Pro / ENGINEER) that contain parametric design tools and offer designers tools for creating parametric scripts (cf. [16, 17]). Mainly thanks to them, it was possible to design objects such as Sagrada Familia (Barcelona), Beijing National Stadium (China) (cf. [16]). The reader can see the parametric script for positioning hyperbolas and their placement on a given substrate written (by Burry M.) in Python programming language (cf. [16, 18]). (B) The possibility of (easy) precise dimensioning of individual elements of a structure with complex geometry can be used for prefabrication using CNC machine (Computerized Numerical Control). More precisely, for a 3D model designed in CAD a designer can obtain (using CAM software (Computer Aided Manufacturing)) instructions for a CNC machine [19]. CNC machining allows fast, precise and repeatable execution of elements with a complex shape. Hence, more and more architectural companies are interested in designing objects with a curvilinear geometry. The advantages of assembling prefabricated structures are precise execution, easier transport and assembly. The hyperboloid surface ensures repeatability of elements (e.g. triangular panels) at the same height of the coating.
The given method simplifies the analysis of the approximation of the hyperboloid offset surface off(S(t, v); d) by the hyperboloid surface S1(ϕ, v). For illustration, the wall thickness of the cooling tower formed by two one-sheet rotational hyperboloids SRh(t, v) and SRh1(ϕ, v) was analyzed (cf. section 4.2). The distance between the two hyperboloid surfaces was measured (along the normal line to the surface SRh(t, v)). It was shown that the deviation from the constant thickness d = 0.14m increases with the increase of the coordinate zP. For the cooling tower Rybnik, the largest deviation is 3% (dPQ1 = 0.1358m) and takes place for zP = 44m (=59m-15m (cf. Figure 8)).
In a similar way, the thickness of the dome formed by the two-sheet rotational hyperboloids S h(t, v) and Sh1(ϕ, v) (cf. 3.2) was tested (for the parameter values a = 30, b = 40, d = 0.4m). The maximum deviation from the intended thickness d = 0.4m (for the dome with a base diameter equal to 30m (40m, 50m, 60m) and a height equal to 4.7214m (8.0740m, 12.0684m, 16.5686m)) is 14.00% (19.50%, 23.86%, 27.18%). The test was repeated for b = 50. Then the maximum deviation from the intended thickness d (of the dome with a base diameter equal to 30m (40m, 50m, 60m) and a height equal to 5.9017m (10.0925m, 15.0854m, 20.7107m)) was 19.67% (26.45%, 31.53%, 35.24%).
Similar calculations can help a designer decide whether to use the offset surface and assemble the object from the CNC prefabricates or accept the deviation (or change the values of the hyperboloid parameters).
6 Summary
In order to design objects in the shape of the hyperboloid S(t, v), different surfaces approximating this hyperboloid are needed. It is necessary to ensure that the construction has the appropriate thickness (stability). The paper presents the method of determining the angles and coordinates of points of various surfaces approximating the hyperboloid of revolution. Thanks to this method, the designer can easily calculate the distance between the hyperboloid S(t, v) and the surface approximating it along the normal line l passing through the point P.
The one-sheet hyperboloid is a doubly ruled surface. It means that hyperboloid shaped constructions can be built with straight steel beams that form a strong structure. The surface approximating the hyperboloid was used to strengthen the wall of the cooling tower (at the design stage). The new mathematical models have been tested and proven in real cases, such as the Rybnik cooling tower chimney, providing real parameters.
A double-layer hyperboloid-shaped lattice dome was proposed as a roof for a large object (e.g. shopping centre). The connection by means of bars of two layers with an approximate shape is intended to strengthen the roof structure. The bar structures of the low-profile single-layer domes are particularly susceptible to stability loss (cf. [8]).
The main advantage of the given method is the simplification of the design process as well as time and cost saving. To design any hyperboloid shaped dome, a student needs a compiler for a programming language (cost=0) and AutoCAD (for students).
Acknowledgement
The research presented in this paper was founded by the BST S/WI/1/2014 and WZ/WBiIŚ/6/2019.
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© 2019 E. Koźniewski and A. Borowska, published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
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Artikel in diesem Heft
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- A hybrid approach for solving multi-mode resource-constrained project scheduling problem in construction
- Identification of geodetic risk factors occurring at the construction project preparation stage
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- Procurement management in construction: study of Czech municipalities
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- Modelling a production process using a Sankey diagram and Computerized Relative Allocation of Facilities Technique (CRAFT)
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