Minimizing Cutting Wastes of Reinforcement Steel Bars Using Genetic Algorithms and Integer Programming Models

Salem, Ossama; Shahin, A.; Khalifa, Y.M.A.

doi:10.1061/(asce)0733-9364(2007)133:12(982)

Cited by 43 publications

(26 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Caution must be taken here not to draw the conclusion that a given method being adopted by more papers is more popular than others, since some methods are more general and broader in scope than other methods. Another interesting phenomenon is that in most earlier studies, researchers tend to use simple descriptive and statistical analysis methods for data analysis, but recently, more complicated methods, such as system dynamics (Hao et al, 2007), genetic algorithms and integer programming model (Salem et al, 2007), and discrete-event simulation (Lu et al, 2006), begin to play a role in C&D waste management research. By employing these newly developed mathematical techniques, the complexity and dynamics of the C&D waste management can be simulated to better reflect the reality (Lu et al, 2006;Hao et al, 2007).…”

Section: Research and Data Analysis Methodsmentioning

confidence: 99%

Trend of the research on construction and demolition waste management

2011

View full text Add to dashboard Cite

Section: Research and Data Analysis Methodsmentioning

confidence: 99%

Trend of the research on construction and demolition waste management

2011

View full text Add to dashboard Cite

“…This process continues until all the feasible patterns are generated. The Pseudocode of this pattern generation procedure can be found in Salem et al [5].…”

Section: Cutting Pattern Generation Modulementioning

confidence: 99%

“…One of material waste streams in the construction of concrete structures is related to reinforcing steel bars waste, accounting for up to 5 and 8% of the total waste in public and private residential construction respectively [4]. This waste is generated during the cutting of steel bars from standard lengths to required lengths [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

“…Porwal and Hewage also presented a framework integrating BIM with optimization techniques in order to minimize trim losses in the design stage [7]. Different optimization techniques such as Linear Programming (LP) [10], Integer Programming (IP) [11], Sequential Heuristic Procedure (SHP) [12] and Genetic Algorithm (GA) [5] have been proposed by previous studies to minimize the rebar trim loss referred to as one-dimensional Cutting Stock Problem (1D-CSP). Although the framework presented by Porwal and Hewage [7] can be the base of future development of BIM software, in the meantime a more practical methodology is needed to assist structural designers, in the task of generating steel bar arrangements that will lead to a reduction of trim loss.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Framework for Optimizing Lap Splice Positions within Concrete Elements to Minimize Cutting Waste of Steel Bars

Nadoushani¹,

Hammad²,

Akbarnezhad³

2016

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

View full text Add to dashboard Cite

One of the material waste streams in the construction of concrete structures is the waste generated during cutting of steel bars to their final required length. The amount of waste generated to produce the required length of steel bars can be affected considerably by the cutting patterns adopted. Waste can, therefore, be minimized by optimizing the cutting pattern to be selected. Cutting patterns are a combination of bar lengths and, thus any change in the required lengths directly affects cutting patterns and the final amount of waste. This paper presents a framework for selection of the location of lap splices, through generating all possible lapping patterns, which define the bar lengths in cutting patterns. The focus is placed on steel bars used in concrete columns as their arrangement is affected by multiple parameters that make the manual preparation of shop drawings a tedious job. The developed framework is applied to a case study involving the construction of columns for an actual 6 storey building. The estimated waste produced after the adoption of optimal lapping patterns is compared with the actual waste generated based on the project shop drawings. The results indicate that considerable reduction in the steel bars wasted is achievable by optimizing the lapping patterns.

show abstract

“…Some methods preferred to prepare a set of patterns in one time beforehand. Salem et al [5] used the algorithm from Pierce [6] to generate all the efficient feasible cutting patterns. Then, they used them for the optimization problem.…”

Section: Introductionmentioning

confidence: 99%

Trim Loss Minimization for Construction Reinforcement Steel with Oversupply Constraints

Benjaoran

Bhokha²

2013

JOAMS

View full text Add to dashboard Cite

Construction work consumes a large amount of construction reinforcement steel and it demands this steel in various particular sizes according to structural designs. The steel have to be cut to the right sizes before uses. The cutting process creates a lot of trim loss and costly wastes. This research develops a new procedure for arranging cutting plans with minimum trim loss. The procedure is based on the optimization of one dimensional cutting stock problem. A set of efficient cutting patterns is generated first and then the cutting replications are determined from the optimization. The problem model has oversupply constraints which do not allow cutting any item more than the demanded pieces. Few remaining undersupplied items are lastly cut using the best fit decreasing algorithm. Therefore, the cutting plans created from this procedure will not make any oversupply which becomes waste and they will cut all pieces exactly as demanded. Test results indicated that this developed procedure could produce low trim-loss cutting plans. Also, the suitable number of efficient cutting patterns and the suitable allowable trim loss of the patterns could help result good cutting plans. 

show abstract

Minimizing Cutting Wastes of Reinforcement Steel Bars Using Genetic Algorithms and Integer Programming Models

Cited by 43 publications

References 23 publications

Trend of the research on construction and demolition waste management

Trend of the research on construction and demolition waste management

A Framework for Optimizing Lap Splice Positions within Concrete Elements to Minimize Cutting Waste of Steel Bars

Trim Loss Minimization for Construction Reinforcement Steel with Oversupply Constraints

Contact Info

Product

Resources

About