Information and literature about cost estimation of steel structures« terug naar Parametrisch ontwerpen
When an integral analyses process is automated, the same process can be used to integrally optimize. However, a certain optimization criterion/goal is required.
An IAM produces variants, from one variant multiple quantities can be extracted. For example: the amount of welding volume and the total weight. These quantities are translated to a price/costs, which makes it possible to optimize costs. The costs assumed will determine the “ratio of relevance” between quantities extracted, and will ultimately influence the optimal solution.
Ratio labour and material costs
The ratio between the cost of labour and the cost of material is essential when optimizing production costs. This ratio will ultimately define, what will be the optimal solution. To put in perspective, optimizing productions costs for fabrication in China, where labour is relatively cheap, will give different result compared to optimizing production costs for fabrication in the Netherlands.
Welding volume method
to be edit
Reference unit prices
On this page, reference unit prices that structural engineer in the Netherlands can use in an integral optimization are displayed. It should be noted that these reference unit prices are estimates, that will provide more insight in costs and could therefor help decision-making, but they will never be exact representation of the final projects total cost.
Material reference prices:
In the table, below reference prices can be found for different sectionstypes, steelgrades and production process. The price per kilo is defined.
|I-Beams||Hotrolled||€ 0,75||€ 0,78|
|Tube||Coldformed||€ 0,85||€ 0,85||€ 0,90|
|Tube||Hotformed||€ 1,00||€ 1,10|
Prices change through time, however price ratios are more constant. Therefore, when optimizing costs it can be more accurate the use relative ratios instead of absolute costs. In the table below the cheapest type of material, S235 hotrolled I-sections, is set to 100%. This enables to show the relative cost ratios of the different types.
*tbd = to be determined
Material price index:
Labour reference prices:
The cost of labour is determined based on the welding volume. In the graph below, welding speeds can be found. This data originates from a 2566 sample data set from steel contractor, Oostingh ASK Romein. In this data set the welding volume and the amount of working hours were measured. In the graph below, vertical bars represent the frequency a certain speed has occurred. Based on this graph, an average welding speed of 50 cm^3 per hour can be assumed.
|Average welding speed||50 cm3/hour|
|Factor including assembly||2,0|
|Speed||50/2.0 = 25 cm3/hour|
|Cost of welder||€20,-*3.0 = €60,-|
|Cost per cm3 welding material||€60,-/25 = €2,40 /cm3|
As mentioned, an average welding speed of 50 cm3/hour is assumed. To put this in perspective, the length after one hour of welding per weld size can be estimated.
|Fillet weld size||Length per hour|
|a5||50.000/(5^2) =||2000 mm|
|a7||50.000/(7^2) =||1000 mm|
|a10||50.000/(10^2) =||500 mm|
to be edit
In the list below, interesting literature can be found about cost-estimation models of steel structures.
- L. Xu and D. E. Grierson, Computer Automated Design of Semirigid Steel Frameworks, Journal of Structural Engineering 119, 1740 (1993)
- L.M.C. Simões, Optimization of frames with semi-rigid connections, Computers & Structures, Volume 60, Issue 4 (1996)
- M. Steenhuis, K. Weynand, and A. M. Gresnigt, Strategies for economic design of unbraced steel frames, Journal of Constructional Steel Research 46, 88 (1998)
- N. B. H. Ali, J. C. Mangin, and A. F. Cutting-Decelle, An overall approach to structural design of steelworks using genetic algorithms, System-based vision for strategic and creative design — Proceedings of the 2nd international conference on structural and construction engineering, Balkema, Rome , 481 (2003).
- L. Pavlovčič, A. Krajnc, and D. Beg, Cost function analysis in the structural optimization of steel frames, Structural and Multidisciplinary Optimization 28, 286 (2004)
- N. Bel Hadj Ali, M. Sellami, A. F. Cutting-Decelle, and J. C. Mangin, Multi-stage production cost optimization of semi-rigid steel frames using genetic algorithms, Engineering Structures 31, 2766 (2009)
- S. O. Degertekin and M. S. Hayalioglu, Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases, Structural and Multidisciplinary Optimization 42, 755 (2010)
- J. Jalkanen, Tubular Truss Optimization Using Heuristic Algorithms (2007)
- K. Mela, Mixed Variable Formulations for Truss Topology Optimization (2013)
- M. Helminen, Mika helminen, optimization of a trussed steel portal frame, (2017)
- K. Mela, T. Tiainen, and M. Heinisuo, Economical design of high strength steel trusses using multi-criteria optimization, Eurosteel 2017 1, 9 (2017)
- K. Jármai and J. Farkas, Cost calculation and optimisation of welded steel structures, Journal of Constructional Steel Research 50, 115 (1999).
- F. Neessen, Zin en Onzin over laskostenbeheersing, Product Informatie Bulletin , 1 (2008) (Dutch)
- J. Haapio, Feature-Based Costing Method for Skeletal Steel Structures based on the Process Approach, Ph.D. thesis, Tampere University of Technology (2012)
Interesting literature missing?
Please inform Rayaan Ajouz: email@example.com