Cost optimization of industrial steel building structures

Kravanja, Stojan; ula, T.

doi:10.1016/j.advengsoft.2009.03.005

Cited by 34 publications

(17 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…A number of problems in the area of structural optimization were solved with the presented MINLP approach: e.g. hydraulic steel gates for dams and hydro-power plants by Kravanja et al [15,16], steel and aluminum trusses by Šilih et al [18], timber truss structures by Šilih et al [19,20], multi-storey steel frame buildings by Klanšek et al [21], single-storey industrial steel buildings by Kravanja and Žula [22] and Kravanja et al [23], composite I-beam structures from concrete and steel by Kravanja and Šilih [24], Klanšek and Kravanja [25,26], Žula et al [27] and Kravanja et al [28] as well as timber-concrete composite floors by Jelušič and Kravanja [29]. A recent research work is also referred in the field of MINLP optimization of project schedules by Klanšek [30] and Cajzek and Klanšek [31].…”

Section: Minmentioning

confidence: 99%

Mixed-integer Non-linear Programming in Civil Engineering

Kravanja¹

2018

Civil Engineering

View full text Add to dashboard Cite

The paper discusses the Mixed-Integer Non-linear Programming (MINLP) of problems in civil engineering. The MINLP enables the optimization of continuous parameters simultaneously with discrete alternatives. While continuous parameters are in structural optimization structural costs, masses, loads, stresses, resistances and deflections, as well as the discrete alternatives are in most cases defined as different topologies, standard sizes and materials. The continuous parameters are in the models expressed by continuous variables, whilst the discrete alternatives by discrete (0-1) variables. The MINLP optimization of a structure is usually a comprehensive and highly non-linear calculation process. The MINLP approach requires that a structure is generated as an MINLP superstructure including a number of structure alternatives. One of them is the optimal one. For each optimization problem/structure, an MINLP optimization model of the structure must be developed, where the cost or mass objective function of the structure is subjected to structural analysis and dimensioning equality/inequality constraints. The Modified Outer-Approximation/Equality-Relaxation algorithm and a threephase MINLP strategy are applied. Three numerical examples, i.e. the MINLP optimization of a cantilever beam, composite floor and high-pressure penstock are presented at the end of the paper.

show abstract

Section: Minmentioning

confidence: 99%

Mixed-integer Non-linear Programming in Civil Engineering

Kravanja¹

2018

Civil Engineering

View full text Add to dashboard Cite

show abstract

“…Kravanja and Zula [7] and Kravanja et al [8] studied design optimization of single-story steel building structures based on mixed-integer non-linear programming (MINLP) optimization. McKinstray et al [9] have carried out the optimal design of long-span portal frames using fabricated beams based on Genetic Algorithm (GA).…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm

Kaveh¹,

Vaez²,

Hosseini³

et al. 2019

Period. Polytech. Civil Eng.

View full text Add to dashboard Cite

The paper presents an optimal design of steel curved roof frames with its roof being part of a circular arc. The elements of frames are tapered I-section members. In the objective function for optimization, two factors affecting the weight of frames are considered simultaneously. First, the roof slope angle as an effective variable on the values of the structural loading and second, the cross-section of members that are considered as continuous and discrete variables, respectively. In the range of 3 to 70 degrees, the optimum range of roof slope angles for steel curved roof frames, as well as precise value of the best roof slope angle, will be reported. Enhanced Vibrating Particles System (EVPS) algorithm is utilized for the optimal design of steel curved roof frames with tapered members. The performance and efficiency of the EVPS algorithm is compared with six other recently developed optimization algorithms including VPS, GWO, HS, SSA, ECBO and GOA algorithms. The effectiveness and performance of EVPS algorithm is proven. Frames design are performed using ANSI/AISC 360-05 speciﬁcations which strength, displacement and stability constraints are imposed on the frames.

show abstract

“…hydraulic steel gates for dams and hydro-power plants by Kravanja et al. [15,16], steel and aluminum trusses by Šilih et al [18], timber truss structures by Šilih et al [19,20], multi-storey steel frame buildings by Klanšek et al [21], single-storey industrial steel buildings by Kravanja and Žula [22] and Kravanja et al [23], composite I-beam structures from concrete and steel by Kravanja and Šilih [24], Klanšek and Kravanja [25,26], Žula et al [27] and Kravanja et al [28] as well as timber-concrete composite floors by Jelušič and Kravanja [29]. A recent research work is also referred in the field of MINLP optimization of project schedules by Klanšek [30] and Cajzek and Klanšek [31].…”

Section: Introductionmentioning

confidence: 99%

Mixed-integer Non-linear Programming in Civil Engineering

Kravanja¹

2018

Civil Engineering

View full text Add to dashboard Cite

Abstract. The paper discusses the Mixed-Integer Non-linear Programming (MINLP) of problems in civil engineering. The MINLP enables the optimization of continuous parameters simultaneously with discrete alternatives. While continuous parameters are in structural optimization structural costs, masses, loads, stresses, resistances and deflections, as well as the discrete alternatives are in most cases defined as different topologies, standard sizes and materials. The continuous parameters are in the models expressed by continuous variables, whilst the discrete alternatives by discrete (0-1) variables. The MINLP optimization of a structure is usually a comprehensive and highly non-linear calculation process. The MINLP approach requires that a structure is generated as an MINLP superstructure including a number of structure alternatives. One of them is the optimal one. For each optimization problem/structure, an MINLP optimization model of the structure must be developed, where the cost or mass objective function of the structure is subjected to structural analysis and dimensioning equality/inequality constraints. The Modified Outer-Approximation/Equality-Relaxation algorithm and a threephase MINLP strategy are applied. Three numerical examples, i.e. the MINLP optimization of a cantilever beam, composite floor and high-pressure penstock are presented at the end of the paper.

show abstract

Cost optimization of industrial steel building structures

Cited by 34 publications

References 28 publications

Mixed-integer Non-linear Programming in Civil Engineering

Mixed-integer Non-linear Programming in Civil Engineering

Optimal Design of Steel Curved Roof Frames by Enhanced Vibrating Particles System Algorithm

Mixed-integer Non-linear Programming in Civil Engineering

Contact Info

Product

Resources

About